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MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
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tf_dsp_converter does not support multiple input/output tensors #110

Closed chanchanzhang-zz closed 6 years ago

chanchanzhang-zz commented 6 years ago

It will concat the output tensor names and results in a nonsense tensor name.

Traceback (most recent call last): File "/home/ANT.AMAZON.COM/chanchaz/workspace/snpe/mace/bazel-bin/mace/python/tools/converter.runfiles/mace/mace/python/tools/converter.py", line 300, in main(unused_args=[sys.argv[0]] + unparsed) File "/home/ANT.AMAZON.COM/chanchaz/workspace/snpe/mace/bazel-bin/mace/python/tools/converter.runfiles/mace/mace/python/tools/converter.py", line 104, in main FLAGS.dsp_mode) File "/home/ANT.AMAZON.COM/chanchaz/workspace/snpe/mace/bazel-bin/mace/python/tools/converter.runfiles/mace/mace/python/tools/tf_dsp_converter_lib.py", line 610, in convert_to_mace_pb net_def_with_node_id = add_node_id(sorted_net_def) File "/home/ANT.AMAZON.COM/chanchaz/workspace/snpe/mace/bazel-bin/mace/python/tools/converter.runfiles/mace/mace/python/tools/tf_dsp_converter_lib.py", line 486, in add_node_id node_id = node_id_map[op_name] KeyError: u'Squeeze,convert_scores'

Any plan to support it?

liyinhgqw commented 6 years ago

Can you provide full log of your run?

chanchanzhang-zz commented 6 years ago

System information

Model deploy file (*.yml)

library_name: mobilenet-v1-ssd
target_abis: [armeabi-v7a, arm64-v8a]
model_graph_format: file
model_data_format: file
models:
  mobilenet_v1:
    platform: tensorflow
    model_file_path: /home/ANT.AMAZON.COM/chanchaz/workspace/snpe/work/ssd-tflite/tflite/tf_model_opt_quant_4_remove_identity.pb
    model_sha256_checksum: acddf75d531e168c0cc5ecd2af11794e8f7ced38cc1827497df0ddc5e78e4ccc
    subgraphs:
      - input_tensors:
          - normalized_input_image_tensor
        input_shapes:
          - 1,300,300,3
        output_tensors:
          - Squeeze
          - convert_scores
        output_shapes:
          - 1,1917,4
          - 1,1917,38
        validation_inputs_data:
          - https://cnbj1.fds.api.xiaomi.com/mace/inputs/dog.npy
    runtime: dsp
    limit_opencl_kernel_time: 0
    nnlib_graph_mode: 0
    obfuscate: 0
    winograd: 0

Describe the problem

A clear and concise description of what the bug is.

To Reproduce

Steps to reproduce the problem:

1. cd /path/to/mace
2. python tools/converter.py convert --config_file=/path/to/your/model_deployment_file

Error information / logs

Please include the full log and/or traceback here.

$ python tools/converter.py convert --config=mace-models/ssd/mobilenet-v1-ssd-dsp-4-quant_remove_identity.yml
---------------------------------------------------
                Common Configuration
---------------------------------------------------
|        key        |            value            |
===================================================
|       library_name|             mobilenet-v1-ssd|
---------------------------------------------------
|        target_abis| ['armeabi-v7a', 'arm64-v8a']|
---------------------------------------------------
|        target_socs|                           []|
---------------------------------------------------
| model_graph_format|                         file|
---------------------------------------------------
|  model_data_format|                         file|
---------------------------------------------------

**********************************************
          Convert mobilenet_v1 model
**********************************************

INFO: Analysed target //mace/python/tools:converter (0 packages loaded).
INFO: Found 1 target...
Target //mace/python/tools:converter up-to-date:
  bazel-bin/mace/python/tools/converter
INFO: Elapsed time: 0.217s, Critical Path: 0.00s
INFO: 0 processes.
INFO: Build completed successfully, 1 total action

('Op: ', u'BoxPredictor_4/ClassPredictor/act_quant/max', u'Const', TensorShape([]))
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('Op: ', u'BoxPredictor_0/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_1__cf__1_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(384), Dimension(114)]))
('Add const node: ', u'BoxPredictor_0/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_1__cf__1_quantized_const')
('Op: ', u'BoxPredictor_3/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_7__cf__7_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(192), Dimension(228)]))
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('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/weights_quant/FakeQuantWithMinMaxVars/_15__cf__15_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/weights_quant/FakeQuantWithMinMaxVars/_15__cf__15_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/act_quant/max', u'Const', TensorShape([]))
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('Op: ', u'BoxPredictor_1/BoxEncodingPredictor/act_quant/min', u'Const', TensorShape([]))
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('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/weights_quant/FakeQuantWithMinMaxVars/_61__cf__61_quantized_const')
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('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/BatchNorm_Fold/bias/_58__cf__58/reshape_dims')
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('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/weights_quant/FakeQuantWithMinMaxVars/_13__cf__13_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(768), Dimension(192)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/weights_quant/FakeQuantWithMinMaxVars/_13__cf__13_quantized_const')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/weights_quant/FakeQuantWithMinMaxVars/_77__cf__77_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(384), Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/weights_quant/FakeQuantWithMinMaxVars/_77__cf__77_quantized_const')
('Op: ', u'BoxPredictor_1/ClassPredictor/act_quant/max', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_1/ClassPredictor/act_quant/max')
('Op: ', u'BoxPredictor_4/BoxEncodingPredictor/act_quant/max', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_4/BoxEncodingPredictor/act_quant/max')
('Op: ', u'BoxPredictor_5/ClassPredictor/act_quant/min', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_5/ClassPredictor/act_quant/min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/BatchNorm_Fold/bias/_62__cf__62', u'Const', TensorShape([Dimension(192)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/BatchNorm_Fold/bias/_62__cf__62')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/BatchNorm_Fold/bias/_62__cf__62/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/BatchNorm_Fold/bias/_62__cf__62/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/BatchNorm_Fold/bias/_62__cf__62/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/BatchNorm_Fold/bias/_62__cf__62/reshape_dims')
('Op: ', u'BoxPredictor_4/stack_1', u'Const', TensorShape([Dimension(3)]))
('Add const node: ', u'BoxPredictor_4/stack_1')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/weights_quant/FakeQuantWithMinMaxVars/_43__cf__43_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/weights_quant/FakeQuantWithMinMaxVars/_43__cf__43_quantized_min')
('Op: ', u'BoxPredictor_0/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_1__cf__1_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_0/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_1__cf__1_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/weights_quant/FakeQuantWithMinMaxVars/_27__cf__27_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/weights_quant/FakeQuantWithMinMaxVars/_27__cf__27_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/weights_quant/FakeQuantWithMinMaxVars/_35__cf__35_quantized_const', u'Const', TensorShape([Dimension(3), Dimension(3), Dimension(384), Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/weights_quant/FakeQuantWithMinMaxVars/_35__cf__35_quantized_const')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/weights_quant/FakeQuantWithMinMaxVars/_17__cf__17_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(192), Dimension(96)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/weights_quant/FakeQuantWithMinMaxVars/_17__cf__17_quantized_const')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/act_quant/min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/act_quant/min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/BatchNorm_Fold/bias/_68__cf__68', u'Const', TensorShape([Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/BatchNorm_Fold/bias/_68__cf__68')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/BatchNorm_Fold/bias/_68__cf__68/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/BatchNorm_Fold/bias/_68__cf__68/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/BatchNorm_Fold/bias/_68__cf__68/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/BatchNorm_Fold/bias/_68__cf__68/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/act_quant/min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/act_quant/min')
('Op: ', u'BoxPredictor_3/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_7__cf__7_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_3/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_7__cf__7_quantized_max')
('Op: ', u'BoxPredictor_0/ClassPredictor/act_quant/max', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_0/ClassPredictor/act_quant/max')
('Op: ', u'BoxPredictor_2/ClassPredictor/biases', u'Const', TensorShape([Dimension(228)]))
('Add const node: ', u'BoxPredictor_2/ClassPredictor/biases')
('Op: ', u'BoxPredictor_2/ClassPredictor/BiasAdd_eightbit/BoxPredictor_2/ClassPredictor/biases/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'BoxPredictor_2/ClassPredictor/BiasAdd_eightbit/BoxPredictor_2/ClassPredictor/biases/reduction_dims')
('Op: ', u'BoxPredictor_2/ClassPredictor/BiasAdd_eightbit/BoxPredictor_2/ClassPredictor/biases/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'BoxPredictor_2/ClassPredictor/BiasAdd_eightbit/BoxPredictor_2/ClassPredictor/biases/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/act_quant/max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/act_quant/max')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/BatchNorm_Fold/bias/_12__cf__12', u'Const', TensorShape([Dimension(192)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/BatchNorm_Fold/bias/_12__cf__12')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/BatchNorm_Fold/bias/_12__cf__12/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/BatchNorm_Fold/bias/_12__cf__12/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/BatchNorm_Fold/bias/_12__cf__12/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/BatchNorm_Fold/bias/_12__cf__12/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/BatchNorm_Fold/bias/_20__cf__20', u'Const', TensorShape([Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/BatchNorm_Fold/bias/_20__cf__20')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/BatchNorm_Fold/bias/_20__cf__20/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/BatchNorm_Fold/bias/_20__cf__20/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/BatchNorm_Fold/bias/_20__cf__20/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/BatchNorm_Fold/bias/_20__cf__20/reduction_dims')
('Op: ', u'BoxPredictor_1/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_3__cf__3_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_1/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_3__cf__3_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/BatchNorm_Fold/bias/_26__cf__26', u'Const', TensorShape([Dimension(96)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/BatchNorm_Fold/bias/_26__cf__26')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/BatchNorm_Fold/bias/_26__cf__26/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/BatchNorm_Fold/bias/_26__cf__26/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/BatchNorm_Fold/bias/_26__cf__26/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/BatchNorm_Fold/bias/_26__cf__26/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/weights_quant/FakeQuantWithMinMaxVars/_51__cf__51', u'Const', TensorShape([Dimension(3), Dimension(3), Dimension(48), Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/weights_quant/FakeQuantWithMinMaxVars/_51__cf__51')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/act_quant/min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/act_quant/min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/BatchNorm_Fold/bias/_70__cf__70', u'Const', TensorShape([Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/BatchNorm_Fold/bias/_70__cf__70')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/BatchNorm_Fold/bias/_70__cf__70/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/BatchNorm_Fold/bias/_70__cf__70/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/BatchNorm_Fold/bias/_70__cf__70/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/BatchNorm_Fold/bias/_70__cf__70/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/act_quant/min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/act_quant/min')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/weights_quant/FakeQuantWithMinMaxVars/_23__cf__23_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/weights_quant/FakeQuantWithMinMaxVars/_23__cf__23_quantized_max')
('Op: ', u'BoxPredictor_3/BoxEncodingPredictor/act_quant/max', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_3/BoxEncodingPredictor/act_quant/max')
('Op: ', u'BoxPredictor_3/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_7__cf__7_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_3/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_7__cf__7_quantized_min')
('Op: ', u'BoxPredictor_2/stack_1', u'Const', TensorShape([Dimension(3)]))
('Add const node: ', u'BoxPredictor_2/stack_1')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/weights_quant/FakeQuantWithMinMaxVars/_47__cf__47', u'Const', TensorShape([Dimension(3), Dimension(3), Dimension(24), Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/weights_quant/FakeQuantWithMinMaxVars/_47__cf__47')
('Op: ', u'BoxPredictor_5/BoxEncodingPredictor/act_quant/max', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_5/BoxEncodingPredictor/act_quant/max')
('Op: ', u'BoxPredictor_0/BoxEncodingPredictor/biases', u'Const', TensorShape([Dimension(12)]))
('Add const node: ', u'BoxPredictor_0/BoxEncodingPredictor/biases')
('Op: ', u'BoxPredictor_0/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_0/BoxEncodingPredictor/biases/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'BoxPredictor_0/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_0/BoxEncodingPredictor/biases/reshape_dims')
('Op: ', u'BoxPredictor_0/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_0/BoxEncodingPredictor/biases/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'BoxPredictor_0/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_0/BoxEncodingPredictor/biases/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/BatchNorm_Fold/bias/_34__cf__34', u'Const', TensorShape([Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/BatchNorm_Fold/bias/_34__cf__34')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/BatchNorm_Fold/bias/_34__cf__34/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/BatchNorm_Fold/bias/_34__cf__34/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/BatchNorm_Fold/bias/_34__cf__34/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/BatchNorm_Fold/bias/_34__cf__34/reduction_dims')
('Op: ', u'BoxPredictor_2/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_4__cf__4_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(384), Dimension(24)]))
('Add const node: ', u'BoxPredictor_2/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_4__cf__4_quantized_const')
('Op: ', u'BoxPredictor_0/stack_1', u'Const', TensorShape([Dimension(3)]))
('Add const node: ', u'BoxPredictor_0/stack_1')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/weights_quant/FakeQuantWithMinMaxVars/_55__cf__55', u'Const', TensorShape([Dimension(3), Dimension(3), Dimension(96), Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/weights_quant/FakeQuantWithMinMaxVars/_55__cf__55')
('Op: ', u'BoxPredictor_3/BoxEncodingPredictor/biases', u'Const', TensorShape([Dimension(24)]))
('Add const node: ', u'BoxPredictor_3/BoxEncodingPredictor/biases')
('Op: ', u'BoxPredictor_3/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_3/BoxEncodingPredictor/biases/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'BoxPredictor_3/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_3/BoxEncodingPredictor/biases/reduction_dims')
('Op: ', u'BoxPredictor_3/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_3/BoxEncodingPredictor/biases/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'BoxPredictor_3/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_3/BoxEncodingPredictor/biases/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/weights_quant/FakeQuantWithMinMaxVars/_77__cf__77_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/weights_quant/FakeQuantWithMinMaxVars/_77__cf__77_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/BatchNorm_Fold/bias/_46__cf__46', u'Const', TensorShape([Dimension(24)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/BatchNorm_Fold/bias/_46__cf__46')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/BatchNorm_Fold/bias/_46__cf__46/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/BatchNorm_Fold/bias/_46__cf__46/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/BatchNorm_Fold/bias/_46__cf__46/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/BatchNorm_Fold/bias/_46__cf__46/reduction_dims')
('Op: ', u'BoxPredictor_4/ClassPredictor/act_quant/min', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_4/ClassPredictor/act_quant/min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/weights_quant/FakeQuantWithMinMaxVars/_73__cf__73_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(384), Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/weights_quant/FakeQuantWithMinMaxVars/_73__cf__73_quantized_const')
('Op: ', u'BoxPredictor_2/stack', u'Const', TensorShape([Dimension(4)]))
('Add const node: ', u'BoxPredictor_2/stack')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/weights_quant/FakeQuantWithMinMaxVars/_41__cf__41_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/weights_quant/FakeQuantWithMinMaxVars/_41__cf__41_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/BatchNorm_Fold/bias/_64__cf__64', u'Const', TensorShape([Dimension(192)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/BatchNorm_Fold/bias/_64__cf__64')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/BatchNorm_Fold/bias/_64__cf__64/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/BatchNorm_Fold/bias/_64__cf__64/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/BatchNorm_Fold/bias/_64__cf__64/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/BatchNorm_Fold/bias/_64__cf__64/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/weights_quant/FakeQuantWithMinMaxVars/_43__cf__43_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/weights_quant/FakeQuantWithMinMaxVars/_43__cf__43_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/weights_quant/FakeQuantWithMinMaxVars/_53__cf__53_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/weights_quant/FakeQuantWithMinMaxVars/_53__cf__53_quantized_min')
('Op: ', u'BoxPredictor_4/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_9__cf__9_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_4/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_9__cf__9_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/weights_quant/FakeQuantWithMinMaxVars/_61__cf__61_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/weights_quant/FakeQuantWithMinMaxVars/_61__cf__61_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/act_quant/max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/act_quant/max')
('Op: ', u'BoxPredictor_5/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_10__cf__10_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_5/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_10__cf__10_quantized_max')
('Op: ', u'BoxPredictor_1/stack', u'Const', TensorShape([Dimension(4)]))
('Add const node: ', u'BoxPredictor_1/stack')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/act_quant/min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/act_quant/min')
('Op: ', u'BoxPredictor_3/ClassPredictor/act_quant/min', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_3/ClassPredictor/act_quant/min')
('Op: ', u'BoxPredictor_5/BoxEncodingPredictor/act_quant/min', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_5/BoxEncodingPredictor/act_quant/min')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/act_quant/max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/act_quant/max')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/BatchNorm_Fold/bias/_22__cf__22', u'Const', TensorShape([Dimension(192)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/BatchNorm_Fold/bias/_22__cf__22')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/BatchNorm_Fold/bias/_22__cf__22/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/BatchNorm_Fold/bias/_22__cf__22/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/BatchNorm_Fold/bias/_22__cf__22/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/BatchNorm_Fold/bias/_22__cf__22/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/weights_quant/FakeQuantWithMinMaxVars/_21__cf__21_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/weights_quant/FakeQuantWithMinMaxVars/_21__cf__21_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/weights_quant/FakeQuantWithMinMaxVars/_67__cf__67_quantized_const', u'Const', TensorShape([Dimension(3), Dimension(3), Dimension(192), Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/weights_quant/FakeQuantWithMinMaxVars/_67__cf__67_quantized_const')
('Op: ', u'BoxPredictor_4/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_8__cf__8_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_4/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_8__cf__8_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/weights_quant/FakeQuantWithMinMaxVars/_19__cf__19_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(192), Dimension(48)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/weights_quant/FakeQuantWithMinMaxVars/_19__cf__19_quantized_const')
('Op: ', u'BoxPredictor_5/stack_1', u'Const', TensorShape([Dimension(3)]))
('Add const node: ', u'BoxPredictor_5/stack_1')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/weights_quant/FakeQuantWithMinMaxVars/_67__cf__67_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/weights_quant/FakeQuantWithMinMaxVars/_67__cf__67_quantized_min')
('Op: ', u'BoxPredictor_0/stack', u'Const', TensorShape([Dimension(4)]))
('Add const node: ', u'BoxPredictor_0/stack')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/BatchNorm_Fold/bias/_48__cf__48', u'Const', TensorShape([Dimension(48)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/BatchNorm_Fold/bias/_48__cf__48')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/BatchNorm_Fold/bias/_48__cf__48/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/BatchNorm_Fold/bias/_48__cf__48/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/BatchNorm_Fold/bias/_48__cf__48/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/BatchNorm_Fold/bias/_48__cf__48/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/act_quant/min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/act_quant/min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/weights_quant/FakeQuantWithMinMaxVars/_31__cf__31_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/weights_quant/FakeQuantWithMinMaxVars/_31__cf__31_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/weights_quant/FakeQuantWithMinMaxVars/_63__cf__63_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/weights_quant/FakeQuantWithMinMaxVars/_63__cf__63_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/weights_quant/FakeQuantWithMinMaxVars/_41__cf__41_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/weights_quant/FakeQuantWithMinMaxVars/_41__cf__41_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/weights_quant/FakeQuantWithMinMaxVars/_17__cf__17_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/weights_quant/FakeQuantWithMinMaxVars/_17__cf__17_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/BatchNorm_Fold/bias/_78__cf__78', u'Const', TensorShape([Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/BatchNorm_Fold/bias/_78__cf__78')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/BatchNorm_Fold/bias/_78__cf__78/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/BatchNorm_Fold/bias/_78__cf__78/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/BatchNorm_Fold/bias/_78__cf__78/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/BatchNorm_Fold/bias/_78__cf__78/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/weights_quant/FakeQuantWithMinMaxVars/_23__cf__23_quantized_const', u'Const', TensorShape([Dimension(3), Dimension(3), Dimension(96), Dimension(192)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/weights_quant/FakeQuantWithMinMaxVars/_23__cf__23_quantized_const')
('Op: ', u'BoxPredictor_1/stack_1', u'Const', TensorShape([Dimension(3)]))
('Add const node: ', u'BoxPredictor_1/stack_1')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/weights_quant/FakeQuantWithMinMaxVars/_39__cf__39_quantized_const', u'Const', TensorShape([Dimension(3), Dimension(3), Dimension(384), Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/weights_quant/FakeQuantWithMinMaxVars/_39__cf__39_quantized_const')
('Op: ', u'BoxPredictor_5/ClassPredictor/biases', u'Const', TensorShape([Dimension(228)]))
('Add const node: ', u'BoxPredictor_5/ClassPredictor/biases')
('Op: ', u'BoxPredictor_5/ClassPredictor/BiasAdd_eightbit/BoxPredictor_5/ClassPredictor/biases/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'BoxPredictor_5/ClassPredictor/BiasAdd_eightbit/BoxPredictor_5/ClassPredictor/biases/reduction_dims')
('Op: ', u'BoxPredictor_5/ClassPredictor/BiasAdd_eightbit/BoxPredictor_5/ClassPredictor/biases/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'BoxPredictor_5/ClassPredictor/BiasAdd_eightbit/BoxPredictor_5/ClassPredictor/biases/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/BatchNorm_Fold/bias/_14__cf__14', u'Const', TensorShape([Dimension(96)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/BatchNorm_Fold/bias/_14__cf__14')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/BatchNorm_Fold/bias/_14__cf__14/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/BatchNorm_Fold/bias/_14__cf__14/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/BatchNorm_Fold/bias/_14__cf__14/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/BatchNorm_Fold/bias/_14__cf__14/reduction_dims')
('Op: ', u'BoxPredictor_5/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_11__cf__11_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_5/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_11__cf__11_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/act_quant/max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/act_quant/max')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/weights_quant/FakeQuantWithMinMaxVars/_27__cf__27_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/weights_quant/FakeQuantWithMinMaxVars/_27__cf__27_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/weights_quant/FakeQuantWithMinMaxVars/_33__cf__33_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/weights_quant/FakeQuantWithMinMaxVars/_33__cf__33_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/weights_quant/FakeQuantWithMinMaxVars/_35__cf__35_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/weights_quant/FakeQuantWithMinMaxVars/_35__cf__35_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/weights_quant/FakeQuantWithMinMaxVars/_73__cf__73_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/weights_quant/FakeQuantWithMinMaxVars/_73__cf__73_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/weights_quant/FakeQuantWithMinMaxVars/_15__cf__15_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/weights_quant/FakeQuantWithMinMaxVars/_15__cf__15_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/weights_quant/FakeQuantWithMinMaxVars/_43__cf__43_quantized_const', u'Const', TensorShape([Dimension(3), Dimension(3), Dimension(768), Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/weights_quant/FakeQuantWithMinMaxVars/_43__cf__43_quantized_const')
('Op: ', u'BoxPredictor_3/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_6__cf__6_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(192), Dimension(24)]))
('Add const node: ', u'BoxPredictor_3/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_6__cf__6_quantized_const')
('Op: ', u'BoxPredictor_0/BoxEncodingPredictor/act_quant/max', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_0/BoxEncodingPredictor/act_quant/max')
('Op: ', u'BoxPredictor_5/ClassPredictor/act_quant/max', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_5/ClassPredictor/act_quant/max')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/weights_quant/FakeQuantWithMinMaxVars/_15__cf__15_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(384), Dimension(96)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/weights_quant/FakeQuantWithMinMaxVars/_15__cf__15_quantized_const')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/weights_quant/FakeQuantWithMinMaxVars/_37__cf__37_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/weights_quant/FakeQuantWithMinMaxVars/_37__cf__37_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/weights_quant/FakeQuantWithMinMaxVars/_75__cf__75_quantized_const', u'Const', TensorShape([Dimension(3), Dimension(3), Dimension(384), Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/weights_quant/FakeQuantWithMinMaxVars/_75__cf__75_quantized_const')
('Op: ', u'scale_logits/y', u'Const', TensorShape([]))
('Add const node: ', u'scale_logits/y')
('Op: ', u'BoxPredictor_5/stack', u'Const', TensorShape([Dimension(4)]))
('Add const node: ', u'BoxPredictor_5/stack')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/BatchNorm_Fold/bias/_30__cf__30', u'Const', TensorShape([Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/BatchNorm_Fold/bias/_30__cf__30')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/BatchNorm_Fold/bias/_30__cf__30/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/BatchNorm_Fold/bias/_30__cf__30/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/BatchNorm_Fold/bias/_30__cf__30/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/BatchNorm_Fold/bias/_30__cf__30/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/BatchNorm_Fold/bias/_50__cf__50', u'Const', TensorShape([Dimension(48)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/BatchNorm_Fold/bias/_50__cf__50')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/BatchNorm_Fold/bias/_50__cf__50/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/BatchNorm_Fold/bias/_50__cf__50/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/BatchNorm_Fold/bias/_50__cf__50/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/BatchNorm_Fold/bias/_50__cf__50/reshape_dims')
('Op: ', u'BoxPredictor_2/ClassPredictor/act_quant/min', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_2/ClassPredictor/act_quant/min')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/weights_quant/FakeQuantWithMinMaxVars/_19__cf__19_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/weights_quant/FakeQuantWithMinMaxVars/_19__cf__19_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/act_quant/max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/act_quant/max')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/weights_quant/FakeQuantWithMinMaxVars/_81__cf__81_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/weights_quant/FakeQuantWithMinMaxVars/_81__cf__81_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/weights_quant/FakeQuantWithMinMaxVars/_45__cf__45_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/weights_quant/FakeQuantWithMinMaxVars/_45__cf__45_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/weights_quant/FakeQuantWithMinMaxVars/_21__cf__21_quantized_const', u'Const', TensorShape([Dimension(3), Dimension(3), Dimension(192), Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/weights_quant/FakeQuantWithMinMaxVars/_21__cf__21_quantized_const')
('Op: ', u'concat/axis', u'Const', TensorShape([]))
('Add const node: ', u'concat/axis')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/BatchNorm_Fold/bias/_76__cf__76', u'Const', TensorShape([Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/BatchNorm_Fold/bias/_76__cf__76')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/BatchNorm_Fold/bias/_76__cf__76/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/BatchNorm_Fold/bias/_76__cf__76/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/BatchNorm_Fold/bias/_76__cf__76/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/BatchNorm_Fold/bias/_76__cf__76/reduction_dims')
('Op: ', u'BoxPredictor_4/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_9__cf__9_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(192), Dimension(228)]))
('Add const node: ', u'BoxPredictor_4/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_9__cf__9_quantized_const')
('Op: ', u'BoxPredictor_4/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_8__cf__8_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_4/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_8__cf__8_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/BatchNorm_Fold/bias/_54__cf__54', u'Const', TensorShape([Dimension(96)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/BatchNorm_Fold/bias/_54__cf__54')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/BatchNorm_Fold/bias/_54__cf__54/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/BatchNorm_Fold/bias/_54__cf__54/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/BatchNorm_Fold/bias/_54__cf__54/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/BatchNorm_Fold/bias/_54__cf__54/reshape_dims')
('Op: ', u'BoxPredictor_4/stack', u'Const', TensorShape([Dimension(4)]))
('Add const node: ', u'BoxPredictor_4/stack')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/weights_quant/FakeQuantWithMinMaxVars/_79__cf__79_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/weights_quant/FakeQuantWithMinMaxVars/_79__cf__79_quantized_max')
('Op: ', u'BoxPredictor_3/stack', u'Const', TensorShape([Dimension(4)]))
('Add const node: ', u'BoxPredictor_3/stack')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/BatchNorm_Fold/bias/_44__cf__44', u'Const', TensorShape([Dimension(768)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/BatchNorm_Fold/bias/_44__cf__44')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/BatchNorm_Fold/bias/_44__cf__44/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/BatchNorm_Fold/bias/_44__cf__44/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/BatchNorm_Fold/bias/_44__cf__44/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/BatchNorm_Fold/bias/_44__cf__44/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/weights_quant/FakeQuantWithMinMaxVars/_31__cf__31_quantized_const', u'Const', TensorShape([Dimension(3), Dimension(3), Dimension(384), Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/weights_quant/FakeQuantWithMinMaxVars/_31__cf__31_quantized_const')
('Op: ', u'BoxPredictor_3/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_6__cf__6_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_3/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_6__cf__6_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/weights_quant/FakeQuantWithMinMaxVars/_25__cf__25_quantized_const', u'Const', TensorShape([Dimension(3), Dimension(3), Dimension(96), Dimension(192)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/weights_quant/FakeQuantWithMinMaxVars/_25__cf__25_quantized_const')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/weights_quant/FakeQuantWithMinMaxVars/_25__cf__25_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/weights_quant/FakeQuantWithMinMaxVars/_25__cf__25_quantized_min')
('Op: ', u'BoxPredictor_5/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_11__cf__11_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(96), Dimension(228)]))
('Add const node: ', u'BoxPredictor_5/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_11__cf__11_quantized_const')
('Op: ', u'BoxPredictor_4/ClassPredictor/biases', u'Const', TensorShape([Dimension(228)]))
('Add const node: ', u'BoxPredictor_4/ClassPredictor/biases')
('Op: ', u'BoxPredictor_4/ClassPredictor/BiasAdd_eightbit/BoxPredictor_4/ClassPredictor/biases/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'BoxPredictor_4/ClassPredictor/BiasAdd_eightbit/BoxPredictor_4/ClassPredictor/biases/reduction_dims')
('Op: ', u'BoxPredictor_4/ClassPredictor/BiasAdd_eightbit/BoxPredictor_4/ClassPredictor/biases/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'BoxPredictor_4/ClassPredictor/BiasAdd_eightbit/BoxPredictor_4/ClassPredictor/biases/reshape_dims')
('Op: ', u'BoxPredictor_1/BoxEncodingPredictor/act_quant/max', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_1/BoxEncodingPredictor/act_quant/max')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/weights_quant/FakeQuantWithMinMaxVars/_57__cf__57_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/weights_quant/FakeQuantWithMinMaxVars/_57__cf__57_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/weights_quant/FakeQuantWithMinMaxVars/_77__cf__77_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/weights_quant/FakeQuantWithMinMaxVars/_77__cf__77_quantized_min')
('Op: ', u'BoxPredictor_1/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_2__cf__2_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(768), Dimension(24)]))
('Add const node: ', u'BoxPredictor_1/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_2__cf__2_quantized_const')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/weights_quant/FakeQuantWithMinMaxVars/_57__cf__57_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/weights_quant/FakeQuantWithMinMaxVars/_57__cf__57_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm_Fold/bias/_28__cf__28', u'Const', TensorShape([Dimension(24)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm_Fold/bias/_28__cf__28')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm_Fold/bias/_28__cf__28/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm_Fold/bias/_28__cf__28/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm_Fold/bias/_28__cf__28/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm_Fold/bias/_28__cf__28/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/weights_quant/FakeQuantWithMinMaxVars/_49__cf__49_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/weights_quant/FakeQuantWithMinMaxVars/_49__cf__49_quantized_min')
('Op: ', u'BoxPredictor_5/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_10__cf__10_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_5/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_10__cf__10_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/BatchNorm_Fold/bias/_16__cf__16', u'Const', TensorShape([Dimension(96)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/BatchNorm_Fold/bias/_16__cf__16')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/BatchNorm_Fold/bias/_16__cf__16/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/BatchNorm_Fold/bias/_16__cf__16/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/BatchNorm_Fold/bias/_16__cf__16/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/BatchNorm_Fold/bias/_16__cf__16/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/weights_quant/FakeQuantWithMinMaxVars/_65__cf__65_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(192), Dimension(192)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/weights_quant/FakeQuantWithMinMaxVars/_65__cf__65_quantized_const')
('Op: ', u'BoxPredictor_1/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_3__cf__3_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_1/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_3__cf__3_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/weights_quant/FakeQuantWithMinMaxVars/_63__cf__63_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/weights_quant/FakeQuantWithMinMaxVars/_63__cf__63_quantized_max')
('Op: ', u'BoxPredictor_2/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_5__cf__5_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_2/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_5__cf__5_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/weights_quant/FakeQuantWithMinMaxVars/_81__cf__81_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(384), Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/weights_quant/FakeQuantWithMinMaxVars/_81__cf__81_quantized_const')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/BatchNorm_Fold/bias/_32__cf__32', u'Const', TensorShape([Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/BatchNorm_Fold/bias/_32__cf__32')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/BatchNorm_Fold/bias/_32__cf__32/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/BatchNorm_Fold/bias/_32__cf__32/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/BatchNorm_Fold/bias/_32__cf__32/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/BatchNorm_Fold/bias/_32__cf__32/reshape_dims')
('Op: ', u'BoxPredictor_5/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_11__cf__11_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_5/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_11__cf__11_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/act_quant/max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/act_quant/max')
('Op: ', u'BoxPredictor_3/BoxEncodingPredictor/act_quant/min', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_3/BoxEncodingPredictor/act_quant/min')
('Op: ', u'BoxPredictor_2/BoxEncodingPredictor/act_quant/max', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_2/BoxEncodingPredictor/act_quant/max')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/weights_quant/FakeQuantWithMinMaxVars/_69__cf__69_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(192), Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/weights_quant/FakeQuantWithMinMaxVars/_69__cf__69_quantized_const')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/act_quant/min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/act_quant/min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/weights_quant/FakeQuantWithMinMaxVars/_75__cf__75_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/weights_quant/FakeQuantWithMinMaxVars/_75__cf__75_quantized_min')
('Op: ', u'BoxPredictor_2/BoxEncodingPredictor/act_quant/min', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_2/BoxEncodingPredictor/act_quant/min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/BatchNorm_Fold/bias/_66__cf__66', u'Const', TensorShape([Dimension(192)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/BatchNorm_Fold/bias/_66__cf__66')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/BatchNorm_Fold/bias/_66__cf__66/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/BatchNorm_Fold/bias/_66__cf__66/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/BatchNorm_Fold/bias/_66__cf__66/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/BatchNorm_Fold/bias/_66__cf__66/reshape_dims')
('Op: ', u'BoxPredictor_5/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_10__cf__10_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(96), Dimension(24)]))
('Add const node: ', u'BoxPredictor_5/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_10__cf__10_quantized_const')
('Op: ', u'BoxPredictor_2/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_4__cf__4_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_2/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_4__cf__4_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/weights_quant/FakeQuantWithMinMaxVars/_63__cf__63_quantized_const', u'Const', TensorShape([Dimension(3), Dimension(3), Dimension(192), Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/weights_quant/FakeQuantWithMinMaxVars/_63__cf__63_quantized_const')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/weights_quant/FakeQuantWithMinMaxVars/_73__cf__73_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/weights_quant/FakeQuantWithMinMaxVars/_73__cf__73_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/weights_quant/FakeQuantWithMinMaxVars/_71__cf__71_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/weights_quant/FakeQuantWithMinMaxVars/_71__cf__71_quantized_min')
('Op: ', u'BoxPredictor_4/BoxEncodingPredictor/act_quant/min', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_4/BoxEncodingPredictor/act_quant/min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/weights_quant/FakeQuantWithMinMaxVars/_37__cf__37_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/weights_quant/FakeQuantWithMinMaxVars/_37__cf__37_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/weights_quant/FakeQuantWithMinMaxVars/_67__cf__67_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/weights_quant/FakeQuantWithMinMaxVars/_67__cf__67_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/weights_quant/FakeQuantWithMinMaxVars/_79__cf__79_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/weights_quant/FakeQuantWithMinMaxVars/_79__cf__79_quantized_min')
('Op: ', u'BoxPredictor_0/ClassPredictor/biases', u'Const', TensorShape([Dimension(114)]))
('Add const node: ', u'BoxPredictor_0/ClassPredictor/biases')
('Op: ', u'BoxPredictor_0/ClassPredictor/BiasAdd_eightbit/BoxPredictor_0/ClassPredictor/biases/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'BoxPredictor_0/ClassPredictor/BiasAdd_eightbit/BoxPredictor_0/ClassPredictor/biases/reshape_dims')
('Op: ', u'BoxPredictor_0/ClassPredictor/BiasAdd_eightbit/BoxPredictor_0/ClassPredictor/biases/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'BoxPredictor_0/ClassPredictor/BiasAdd_eightbit/BoxPredictor_0/ClassPredictor/biases/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/weights_quant/FakeQuantWithMinMaxVars/_61__cf__61_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/weights_quant/FakeQuantWithMinMaxVars/_61__cf__61_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/weights_quant/FakeQuantWithMinMaxVars/_39__cf__39_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/weights_quant/FakeQuantWithMinMaxVars/_39__cf__39_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/act_quant/min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/act_quant/min')
('Op: ', u'BoxPredictor_1/ClassPredictor/act_quant/min', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_1/ClassPredictor/act_quant/min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/weights_quant/FakeQuantWithMinMaxVars/_35__cf__35_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/weights_quant/FakeQuantWithMinMaxVars/_35__cf__35_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/weights_quant/FakeQuantWithMinMaxVars/_49__cf__49_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(24), Dimension(48)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/weights_quant/FakeQuantWithMinMaxVars/_49__cf__49_quantized_const')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/BatchNorm_Fold/bias/_56__cf__56', u'Const', TensorShape([Dimension(96)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/BatchNorm_Fold/bias/_56__cf__56')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/BatchNorm_Fold/bias/_56__cf__56/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/BatchNorm_Fold/bias/_56__cf__56/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/BatchNorm_Fold/bias/_56__cf__56/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/BatchNorm_Fold/bias/_56__cf__56/reshape_dims')
('Op: ', u'BoxPredictor_2/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_5__cf__5_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_2/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_5__cf__5_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/BatchNorm_Fold/bias/_60__cf__60', u'Const', TensorShape([Dimension(192)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/BatchNorm_Fold/bias/_60__cf__60')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/BatchNorm_Fold/bias/_60__cf__60/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/BatchNorm_Fold/bias/_60__cf__60/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/BatchNorm_Fold/bias/_60__cf__60/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/BatchNorm_Fold/bias/_60__cf__60/reshape_dims')
('Op: ', u'BoxPredictor_2/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_5__cf__5_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(384), Dimension(228)]))
('Add const node: ', u'BoxPredictor_2/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_5__cf__5_quantized_const')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/weights_quant/FakeQuantWithMinMaxVars/_71__cf__71_quantized_const', u'Const', TensorShape([Dimension(3), Dimension(3), Dimension(384), Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/weights_quant/FakeQuantWithMinMaxVars/_71__cf__71_quantized_const')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/weights_quant/FakeQuantWithMinMaxVars/_45__cf__45_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(768), Dimension(768)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/weights_quant/FakeQuantWithMinMaxVars/_45__cf__45_quantized_const')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/BatchNorm_Fold/bias/_74__cf__74', u'Const', TensorShape([Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/BatchNorm_Fold/bias/_74__cf__74')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/BatchNorm_Fold/bias/_74__cf__74/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/BatchNorm_Fold/bias/_74__cf__74/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/BatchNorm_Fold/bias/_74__cf__74/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/BatchNorm_Fold/bias/_74__cf__74/reshape_dims')
('Op: ', u'BoxPredictor_4/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_8__cf__8_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(192), Dimension(24)]))
('Add const node: ', u'BoxPredictor_4/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_8__cf__8_quantized_const')
('Op: ', u'BoxPredictor_4/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_9__cf__9_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_4/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_9__cf__9_quantized_max')
('Op: ', u'BoxPredictor_3/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_6__cf__6_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_3/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_6__cf__6_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/BatchNorm_Fold/bias/_36__cf__36', u'Const', TensorShape([Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/BatchNorm_Fold/bias/_36__cf__36')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/BatchNorm_Fold/bias/_36__cf__36/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/BatchNorm_Fold/bias/_36__cf__36/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/BatchNorm_Fold/bias/_36__cf__36/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/BatchNorm_Fold/bias/_36__cf__36/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/weights_quant/FakeQuantWithMinMaxVars/_39__cf__39_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/weights_quant/FakeQuantWithMinMaxVars/_39__cf__39_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/weights_quant/FakeQuantWithMinMaxVars/_59__cf__59', u'Const', TensorShape([Dimension(3), Dimension(3), Dimension(96), Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/weights_quant/FakeQuantWithMinMaxVars/_59__cf__59')
('Op: ', u'BoxPredictor_0/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_0__cf__0_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(384), Dimension(12)]))
('Add const node: ', u'BoxPredictor_0/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_0__cf__0_quantized_const')
('Op: ', u'BoxPredictor_1/ClassPredictor/biases', u'Const', TensorShape([Dimension(228)]))
('Add const node: ', u'BoxPredictor_1/ClassPredictor/biases')
('Op: ', u'BoxPredictor_1/ClassPredictor/BiasAdd_eightbit/BoxPredictor_1/ClassPredictor/biases/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'BoxPredictor_1/ClassPredictor/BiasAdd_eightbit/BoxPredictor_1/ClassPredictor/biases/reduction_dims')
('Op: ', u'BoxPredictor_1/ClassPredictor/BiasAdd_eightbit/BoxPredictor_1/ClassPredictor/biases/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'BoxPredictor_1/ClassPredictor/BiasAdd_eightbit/BoxPredictor_1/ClassPredictor/biases/reshape_dims')
('Op: ', u'BoxPredictor_3/ClassPredictor/act_quant/max', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_3/ClassPredictor/act_quant/max')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/act_quant/max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/act_quant/max')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/weights_quant/FakeQuantWithMinMaxVars/_33__cf__33_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/weights_quant/FakeQuantWithMinMaxVars/_33__cf__33_quantized_min')
('Op: ', u'BoxPredictor_1/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_3__cf__3_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(768), Dimension(228)]))
('Add const node: ', u'BoxPredictor_1/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_3__cf__3_quantized_const')
('Op: ', u'BoxPredictor_0/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_0__cf__0_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_0/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_0__cf__0_quantized_min')
('Op: ', u'BoxPredictor_2/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_4__cf__4_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_2/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_4__cf__4_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/weights_quant/FakeQuantWithMinMaxVars/_27__cf__27_quantized_const', u'Const', TensorShape([Dimension(3), Dimension(3), Dimension(48), Dimension(96)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/weights_quant/FakeQuantWithMinMaxVars/_27__cf__27_quantized_const')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/BatchNorm_Fold/bias/_18__cf__18', u'Const', TensorShape([Dimension(48)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/BatchNorm_Fold/bias/_18__cf__18')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/BatchNorm_Fold/bias/_18__cf__18/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/BatchNorm_Fold/bias/_18__cf__18/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/BatchNorm_Fold/bias/_18__cf__18/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/BatchNorm_Fold/bias/_18__cf__18/reshape_dims')
('Op: ', u'BoxPredictor_3/ClassPredictor/biases', u'Const', TensorShape([Dimension(228)]))
('Add const node: ', u'BoxPredictor_3/ClassPredictor/biases')
('Op: ', u'BoxPredictor_3/ClassPredictor/BiasAdd_eightbit/BoxPredictor_3/ClassPredictor/biases/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'BoxPredictor_3/ClassPredictor/BiasAdd_eightbit/BoxPredictor_3/ClassPredictor/biases/reshape_dims')
('Op: ', u'BoxPredictor_3/ClassPredictor/BiasAdd_eightbit/BoxPredictor_3/ClassPredictor/biases/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'BoxPredictor_3/ClassPredictor/BiasAdd_eightbit/BoxPredictor_3/ClassPredictor/biases/reduction_dims')
('Op: ', u'BoxPredictor_0/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_1__cf__1_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_0/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars/_1__cf__1_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/weights_quant/FakeQuantWithMinMaxVars/_53__cf__53_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/weights_quant/FakeQuantWithMinMaxVars/_53__cf__53_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/weights_quant/FakeQuantWithMinMaxVars/_25__cf__25_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/weights_quant/FakeQuantWithMinMaxVars/_25__cf__25_quantized_max')
('Op: ', u'BoxPredictor_1/BoxEncodingPredictor/biases', u'Const', TensorShape([Dimension(24)]))
('Add const node: ', u'BoxPredictor_1/BoxEncodingPredictor/biases')
('Op: ', u'BoxPredictor_1/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_1/BoxEncodingPredictor/biases/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'BoxPredictor_1/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_1/BoxEncodingPredictor/biases/reshape_dims')
('Op: ', u'BoxPredictor_1/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_1/BoxEncodingPredictor/biases/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'BoxPredictor_1/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_1/BoxEncodingPredictor/biases/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/weights_quant/FakeQuantWithMinMaxVars/_71__cf__71_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/weights_quant/FakeQuantWithMinMaxVars/_71__cf__71_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/BatchNorm_Fold/bias/_72__cf__72', u'Const', TensorShape([Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/BatchNorm_Fold/bias/_72__cf__72')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/BatchNorm_Fold/bias/_72__cf__72/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/BatchNorm_Fold/bias/_72__cf__72/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/BatchNorm_Fold/bias/_72__cf__72/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/BatchNorm_Fold/bias/_72__cf__72/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/weights_quant/FakeQuantWithMinMaxVars/_19__cf__19_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/weights_quant/FakeQuantWithMinMaxVars/_19__cf__19_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/weights_quant/FakeQuantWithMinMaxVars/_65__cf__65_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/weights_quant/FakeQuantWithMinMaxVars/_65__cf__65_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/act_quant/max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/act_quant/max')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/weights_quant/FakeQuantWithMinMaxVars/_69__cf__69_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/weights_quant/FakeQuantWithMinMaxVars/_69__cf__69_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/weights_quant/FakeQuantWithMinMaxVars/_53__cf__53_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(48), Dimension(96)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/weights_quant/FakeQuantWithMinMaxVars/_53__cf__53_quantized_const')
('Op: ', u'BoxPredictor_1/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_2__cf__2_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_1/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_2__cf__2_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/weights_quant/FakeQuantWithMinMaxVars/_75__cf__75_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/weights_quant/FakeQuantWithMinMaxVars/_75__cf__75_quantized_max')
('Op: ', u'BoxPredictor_0/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_0__cf__0_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_0/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_0__cf__0_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/BatchNorm_Fold/bias/_52__cf__52', u'Const', TensorShape([Dimension(96)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/BatchNorm_Fold/bias/_52__cf__52')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/BatchNorm_Fold/bias/_52__cf__52/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/BatchNorm_Fold/bias/_52__cf__52/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/BatchNorm_Fold/bias/_52__cf__52/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/BatchNorm_Fold/bias/_52__cf__52/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/weights_quant/FakeQuantWithMinMaxVars/_65__cf__65_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/weights_quant/FakeQuantWithMinMaxVars/_65__cf__65_quantized_min')
('Op: ', u'BoxPredictor_2/ClassPredictor/act_quant/max', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_2/ClassPredictor/act_quant/max')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/weights_quant/FakeQuantWithMinMaxVars/_37__cf__37_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(384), Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/weights_quant/FakeQuantWithMinMaxVars/_37__cf__37_quantized_const')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/weights_quant/FakeQuantWithMinMaxVars/_17__cf__17_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/weights_quant/FakeQuantWithMinMaxVars/_17__cf__17_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/weights_quant/FakeQuantWithMinMaxVars/_41__cf__41_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(384), Dimension(768)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/weights_quant/FakeQuantWithMinMaxVars/_41__cf__41_quantized_const')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/weights_quant/FakeQuantWithMinMaxVars/_69__cf__69_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/weights_quant/FakeQuantWithMinMaxVars/_69__cf__69_quantized_min')
('Op: ', u'BoxPredictor_5/BoxEncodingPredictor/biases', u'Const', TensorShape([Dimension(24)]))
('Add const node: ', u'BoxPredictor_5/BoxEncodingPredictor/biases')
('Op: ', u'BoxPredictor_5/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_5/BoxEncodingPredictor/biases/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'BoxPredictor_5/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_5/BoxEncodingPredictor/biases/reduction_dims')
('Op: ', u'BoxPredictor_5/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_5/BoxEncodingPredictor/biases/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'BoxPredictor_5/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_5/BoxEncodingPredictor/biases/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/act_quant/min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/act_quant/min')
('Op: ', u'BoxPredictor_0/ClassPredictor/act_quant/min', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_0/ClassPredictor/act_quant/min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/BatchNorm_Fold/bias/_42__cf__42', u'Const', TensorShape([Dimension(768)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/BatchNorm_Fold/bias/_42__cf__42')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/BatchNorm_Fold/bias/_42__cf__42/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/BatchNorm_Fold/bias/_42__cf__42/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/BatchNorm_Fold/bias/_42__cf__42/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/BatchNorm_Fold/bias/_42__cf__42/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/weights_quant/FakeQuantWithMinMaxVars/_81__cf__81_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/weights_quant/FakeQuantWithMinMaxVars/_81__cf__81_quantized_max')
('Op: ', u'BoxPredictor_2/BoxEncodingPredictor/biases', u'Const', TensorShape([Dimension(24)]))
('Add const node: ', u'BoxPredictor_2/BoxEncodingPredictor/biases')
('Op: ', u'BoxPredictor_2/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_2/BoxEncodingPredictor/biases/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'BoxPredictor_2/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_2/BoxEncodingPredictor/biases/reshape_dims')
('Op: ', u'BoxPredictor_2/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_2/BoxEncodingPredictor/biases/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'BoxPredictor_2/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_2/BoxEncodingPredictor/biases/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/weights_quant/FakeQuantWithMinMaxVars/_13__cf__13_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/weights_quant/FakeQuantWithMinMaxVars/_13__cf__13_quantized_max')
('Op: ', u'BoxPredictor_3/stack_1', u'Const', TensorShape([Dimension(3)]))
('Add const node: ', u'BoxPredictor_3/stack_1')
('Op: ', u'BoxPredictor_0/BoxEncodingPredictor/act_quant/min', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_0/BoxEncodingPredictor/act_quant/min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/BatchNorm_Fold/bias/_38__cf__38', u'Const', TensorShape([Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/BatchNorm_Fold/bias/_38__cf__38')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/BatchNorm_Fold/bias/_38__cf__38/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/BatchNorm_Fold/bias/_38__cf__38/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/BatchNorm_Fold/bias/_38__cf__38/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/BatchNorm_Fold/bias/_38__cf__38/reshape_dims')
('Op: ', u'BoxPredictor_1/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_2__cf__2_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'BoxPredictor_1/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars/_2__cf__2_quantized_max')
('Op: ', u'BoxPredictor_4/BoxEncodingPredictor/biases', u'Const', TensorShape([Dimension(24)]))
('Add const node: ', u'BoxPredictor_4/BoxEncodingPredictor/biases')
('Op: ', u'BoxPredictor_4/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_4/BoxEncodingPredictor/biases/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'BoxPredictor_4/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_4/BoxEncodingPredictor/biases/reduction_dims')
('Op: ', u'BoxPredictor_4/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_4/BoxEncodingPredictor/biases/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'BoxPredictor_4/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_4/BoxEncodingPredictor/biases/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/weights_quant/FakeQuantWithMinMaxVars/_13__cf__13_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/weights_quant/FakeQuantWithMinMaxVars/_13__cf__13_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/weights_quant/FakeQuantWithMinMaxVars/_29__cf__29', u'Const', TensorShape([Dimension(3), Dimension(3), Dimension(3), Dimension(24)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/weights_quant/FakeQuantWithMinMaxVars/_29__cf__29')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Conv2D_Fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/weights_quant/FakeQuantWithMinMaxVars/_29__cf__29/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Conv2D_Fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/weights_quant/FakeQuantWithMinMaxVars/_29__cf__29/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Conv2D_Fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/weights_quant/FakeQuantWithMinMaxVars/_29__cf__29/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Conv2D_Fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/weights_quant/FakeQuantWithMinMaxVars/_29__cf__29/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/weights_quant/FakeQuantWithMinMaxVars/_49__cf__49_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/weights_quant/FakeQuantWithMinMaxVars/_49__cf__49_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/weights_quant/FakeQuantWithMinMaxVars/_31__cf__31_quantized_max', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/weights_quant/FakeQuantWithMinMaxVars/_31__cf__31_quantized_max')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Conv2D_Fold_eightbit/normalized_input_image_tensor__port__0/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Conv2D_Fold_eightbit/normalized_input_image_tensor__port__0/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Conv2D_Fold_eightbit/normalized_input_image_tensor__port__0/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Conv2D_Fold_eightbit/normalized_input_image_tensor__port__0/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/depthwise_Fold/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/depthwise_Fold/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/depthwise_Fold/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/depthwise_Fold/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/depthwise_Fold/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/depthwise_Fold/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/depthwise_Fold/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/depthwise_Fold/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/depthwise_Fold/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/depthwise_Fold/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/depthwise_Fold/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/depthwise_Fold/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/weights_quant/FakeQuantWithMinMaxVars/_79__cf__79_quantized_const', u'Const', TensorShape([Dimension(3), Dimension(3), Dimension(384), Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/weights_quant/FakeQuantWithMinMaxVars/_79__cf__79_quantized_const')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/BatchNorm_Fold/bias/_24__cf__24', u'Const', TensorShape([Dimension(192)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/BatchNorm_Fold/bias/_24__cf__24')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/BatchNorm_Fold/bias/_24__cf__24/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/BatchNorm_Fold/bias/_24__cf__24/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/BatchNorm_Fold/bias/_24__cf__24/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/BatchNorm_Fold/bias/_24__cf__24/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/weights_quant/FakeQuantWithMinMaxVars/_45__cf__45_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/weights_quant/FakeQuantWithMinMaxVars/_45__cf__45_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/weights_quant/FakeQuantWithMinMaxVars/_33__cf__33_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(384), Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/weights_quant/FakeQuantWithMinMaxVars/_33__cf__33_quantized_const')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/weights_quant/FakeQuantWithMinMaxVars/_57__cf__57_quantized_const', u'Const', TensorShape([Dimension(1), Dimension(1), Dimension(96), Dimension(96)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/weights_quant/FakeQuantWithMinMaxVars/_57__cf__57_quantized_const')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/depthwise_Fold/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/depthwise_Fold/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/depthwise_Fold/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/depthwise_Fold/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/depthwise_Fold/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/depthwise_Fold/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/depthwise_Fold/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/depthwise_Fold/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/depthwise_Fold/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/depthwise_Fold/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/depthwise_Fold/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/depthwise_Fold/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/depthwise_Fold/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/depthwise_Fold/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/depthwise_Fold/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/depthwise_Fold/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/depthwise_Fold/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/depthwise_Fold/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/depthwise_Fold/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/depthwise_Fold/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/depthwise_Fold/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/depthwise_Fold/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/depthwise_Fold/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/depthwise_Fold/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/depthwise_Fold/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/depthwise_Fold/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/depthwise_Fold/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/depthwise_Fold/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/depthwise_Fold/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/depthwise_Fold/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/depthwise_Fold/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/depthwise_Fold/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/depthwise_Fold/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/depthwise_Fold/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/depthwise_Fold/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/depthwise_Fold/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/BatchNorm_Fold/bias/_40__cf__40', u'Const', TensorShape([Dimension(768)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/BatchNorm_Fold/bias/_40__cf__40')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/BatchNorm_Fold/bias/_40__cf__40/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/BatchNorm_Fold/bias/_40__cf__40/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/BatchNorm_Fold/bias/_40__cf__40/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/BatchNorm_Fold/bias/_40__cf__40/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/depthwise_Fold/reduction_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/depthwise_Fold/reduction_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/depthwise_Fold/reshape_dims', u'Const', TensorShape([Dimension(1)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/depthwise_Fold/reshape_dims')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/weights_quant/FakeQuantWithMinMaxVars/_23__cf__23_quantized_min', u'Const', TensorShape([]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/weights_quant/FakeQuantWithMinMaxVars/_23__cf__23_quantized_min')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/BatchNorm_Fold/bias/_80__cf__80/reshape', u'Reshape', TensorShape([Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/BatchNorm_Fold/bias/_80__cf__80/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/BatchNorm_Fold/bias/_80__cf__80/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/BatchNorm_Fold/bias/_80__cf__80/quantize', u'QuantizeV2', TensorShape([Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/BatchNorm_Fold/bias/_58__cf__58/reshape', u'Reshape', TensorShape([Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/BatchNorm_Fold/bias/_58__cf__58/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/BatchNorm_Fold/bias/_58__cf__58/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/BatchNorm_Fold/bias/_58__cf__58/quantize', u'QuantizeV2', TensorShape([Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/BatchNorm_Fold/bias/_62__cf__62/reshape', u'Reshape', TensorShape([Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/BatchNorm_Fold/bias/_62__cf__62/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/BatchNorm_Fold/bias/_62__cf__62/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/BatchNorm_Fold/bias/_62__cf__62/quantize', u'QuantizeV2', TensorShape([Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/BatchNorm_Fold/bias/_68__cf__68/reshape', u'Reshape', TensorShape([Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/BatchNorm_Fold/bias/_68__cf__68/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/BatchNorm_Fold/bias/_68__cf__68/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/BatchNorm_Fold/bias/_68__cf__68/quantize', u'QuantizeV2', TensorShape([Dimension(384)]))
('Op: ', u'BoxPredictor_2/ClassPredictor/BiasAdd_eightbit/BoxPredictor_2/ClassPredictor/biases/reshape', u'Reshape', TensorShape([Dimension(228)]))
('Op: ', u'BoxPredictor_2/ClassPredictor/BiasAdd_eightbit/BoxPredictor_2/ClassPredictor/biases/min', u'Min', TensorShape([]))
('Op: ', u'BoxPredictor_2/ClassPredictor/BiasAdd_eightbit/BoxPredictor_2/ClassPredictor/biases/max', u'Max', TensorShape([]))
('Op: ', u'BoxPredictor_2/ClassPredictor/BiasAdd_eightbit/BoxPredictor_2/ClassPredictor/biases/quantize', u'QuantizeV2', TensorShape([Dimension(228)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/BatchNorm_Fold/bias/_12__cf__12/reshape', u'Reshape', TensorShape([Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/BatchNorm_Fold/bias/_12__cf__12/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/BatchNorm_Fold/bias/_12__cf__12/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/BatchNorm_Fold/bias/_12__cf__12/quantize', u'QuantizeV2', TensorShape([Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/BatchNorm_Fold/bias/_20__cf__20/reshape', u'Reshape', TensorShape([Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/BatchNorm_Fold/bias/_20__cf__20/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/BatchNorm_Fold/bias/_20__cf__20/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/BatchNorm_Fold/bias/_20__cf__20/quantize', u'QuantizeV2', TensorShape([Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/BatchNorm_Fold/bias/_26__cf__26/reshape', u'Reshape', TensorShape([Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/BatchNorm_Fold/bias/_26__cf__26/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/BatchNorm_Fold/bias/_26__cf__26/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/BatchNorm_Fold/bias/_26__cf__26/quantize', u'QuantizeV2', TensorShape([Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/BatchNorm_Fold/bias/_70__cf__70/reshape', u'Reshape', TensorShape([Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/BatchNorm_Fold/bias/_70__cf__70/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/BatchNorm_Fold/bias/_70__cf__70/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/BatchNorm_Fold/bias/_70__cf__70/quantize', u'QuantizeV2', TensorShape([Dimension(384)]))
('Op: ', u'BoxPredictor_0/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_0/BoxEncodingPredictor/biases/reshape', u'Reshape', TensorShape([Dimension(12)]))
('Op: ', u'BoxPredictor_0/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_0/BoxEncodingPredictor/biases/max', u'Max', TensorShape([]))
('Op: ', u'BoxPredictor_0/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_0/BoxEncodingPredictor/biases/min', u'Min', TensorShape([]))
('Op: ', u'BoxPredictor_0/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_0/BoxEncodingPredictor/biases/quantize', u'QuantizeV2', TensorShape([Dimension(12)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/BatchNorm_Fold/bias/_34__cf__34/reshape', u'Reshape', TensorShape([Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/BatchNorm_Fold/bias/_34__cf__34/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/BatchNorm_Fold/bias/_34__cf__34/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/BatchNorm_Fold/bias/_34__cf__34/quantize', u'QuantizeV2', TensorShape([Dimension(384)]))
('Op: ', u'BoxPredictor_3/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_3/BoxEncodingPredictor/biases/reshape', u'Reshape', TensorShape([Dimension(24)]))
('Op: ', u'BoxPredictor_3/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_3/BoxEncodingPredictor/biases/min', u'Min', TensorShape([]))
('Op: ', u'BoxPredictor_3/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_3/BoxEncodingPredictor/biases/max', u'Max', TensorShape([]))
('Op: ', u'BoxPredictor_3/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_3/BoxEncodingPredictor/biases/quantize', u'QuantizeV2', TensorShape([Dimension(24)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/BatchNorm_Fold/bias/_46__cf__46/reshape', u'Reshape', TensorShape([Dimension(24)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/BatchNorm_Fold/bias/_46__cf__46/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/BatchNorm_Fold/bias/_46__cf__46/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/BatchNorm_Fold/bias/_46__cf__46/quantize', u'QuantizeV2', TensorShape([Dimension(24)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/BatchNorm_Fold/bias/_64__cf__64/reshape', u'Reshape', TensorShape([Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/BatchNorm_Fold/bias/_64__cf__64/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/BatchNorm_Fold/bias/_64__cf__64/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/BatchNorm_Fold/bias/_64__cf__64/quantize', u'QuantizeV2', TensorShape([Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/BatchNorm_Fold/bias/_22__cf__22/reshape', u'Reshape', TensorShape([Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/BatchNorm_Fold/bias/_22__cf__22/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/BatchNorm_Fold/bias/_22__cf__22/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/BatchNorm_Fold/bias/_22__cf__22/quantize', u'QuantizeV2', TensorShape([Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/BatchNorm_Fold/bias/_48__cf__48/reshape', u'Reshape', TensorShape([Dimension(48)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/BatchNorm_Fold/bias/_48__cf__48/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/BatchNorm_Fold/bias/_48__cf__48/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/BatchNorm_Fold/bias/_48__cf__48/quantize', u'QuantizeV2', TensorShape([Dimension(48)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/BatchNorm_Fold/bias/_78__cf__78/reshape', u'Reshape', TensorShape([Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/BatchNorm_Fold/bias/_78__cf__78/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/BatchNorm_Fold/bias/_78__cf__78/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/BatchNorm_Fold/bias/_78__cf__78/quantize', u'QuantizeV2', TensorShape([Dimension(384)]))
('Op: ', u'BoxPredictor_5/ClassPredictor/BiasAdd_eightbit/BoxPredictor_5/ClassPredictor/biases/reshape', u'Reshape', TensorShape([Dimension(228)]))
('Op: ', u'BoxPredictor_5/ClassPredictor/BiasAdd_eightbit/BoxPredictor_5/ClassPredictor/biases/max', u'Max', TensorShape([]))
('Op: ', u'BoxPredictor_5/ClassPredictor/BiasAdd_eightbit/BoxPredictor_5/ClassPredictor/biases/min', u'Min', TensorShape([]))
('Op: ', u'BoxPredictor_5/ClassPredictor/BiasAdd_eightbit/BoxPredictor_5/ClassPredictor/biases/quantize', u'QuantizeV2', TensorShape([Dimension(228)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/BatchNorm_Fold/bias/_14__cf__14/reshape', u'Reshape', TensorShape([Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/BatchNorm_Fold/bias/_14__cf__14/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/BatchNorm_Fold/bias/_14__cf__14/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/BatchNorm_Fold/bias/_14__cf__14/quantize', u'QuantizeV2', TensorShape([Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/weights_quant/FakeQuantWithMinMaxVars/_43__cf__43', u'Dequantize', TensorShape([Dimension(3), Dimension(3), Dimension(768), Dimension(1)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/BatchNorm_Fold/bias/_30__cf__30/reshape', u'Reshape', TensorShape([Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/BatchNorm_Fold/bias/_30__cf__30/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/BatchNorm_Fold/bias/_30__cf__30/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/BatchNorm_Fold/bias/_30__cf__30/quantize', u'QuantizeV2', TensorShape([Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/BatchNorm_Fold/bias/_50__cf__50/reshape', u'Reshape', TensorShape([Dimension(48)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/BatchNorm_Fold/bias/_50__cf__50/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/BatchNorm_Fold/bias/_50__cf__50/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/BatchNorm_Fold/bias/_50__cf__50/quantize', u'QuantizeV2', TensorShape([Dimension(48)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/BatchNorm_Fold/bias/_76__cf__76/reshape', u'Reshape', TensorShape([Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/BatchNorm_Fold/bias/_76__cf__76/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/BatchNorm_Fold/bias/_76__cf__76/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/BatchNorm_Fold/bias/_76__cf__76/quantize', u'QuantizeV2', TensorShape([Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/BatchNorm_Fold/bias/_54__cf__54/reshape', u'Reshape', TensorShape([Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/BatchNorm_Fold/bias/_54__cf__54/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/BatchNorm_Fold/bias/_54__cf__54/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/BatchNorm_Fold/bias/_54__cf__54/quantize', u'QuantizeV2', TensorShape([Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/BatchNorm_Fold/bias/_44__cf__44/reshape', u'Reshape', TensorShape([Dimension(768)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/BatchNorm_Fold/bias/_44__cf__44/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/BatchNorm_Fold/bias/_44__cf__44/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/BatchNorm_Fold/bias/_44__cf__44/quantize', u'QuantizeV2', TensorShape([Dimension(768)]))
('Op: ', u'BoxPredictor_4/ClassPredictor/BiasAdd_eightbit/BoxPredictor_4/ClassPredictor/biases/reshape', u'Reshape', TensorShape([Dimension(228)]))
('Op: ', u'BoxPredictor_4/ClassPredictor/BiasAdd_eightbit/BoxPredictor_4/ClassPredictor/biases/max', u'Max', TensorShape([]))
('Op: ', u'BoxPredictor_4/ClassPredictor/BiasAdd_eightbit/BoxPredictor_4/ClassPredictor/biases/min', u'Min', TensorShape([]))
('Op: ', u'BoxPredictor_4/ClassPredictor/BiasAdd_eightbit/BoxPredictor_4/ClassPredictor/biases/quantize', u'QuantizeV2', TensorShape([Dimension(228)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm_Fold/bias/_28__cf__28/reshape', u'Reshape', TensorShape([Dimension(24)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm_Fold/bias/_28__cf__28/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm_Fold/bias/_28__cf__28/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm_Fold/bias/_28__cf__28/quantize', u'QuantizeV2', TensorShape([Dimension(24)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/BatchNorm_Fold/bias/_16__cf__16/reshape', u'Reshape', TensorShape([Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/BatchNorm_Fold/bias/_16__cf__16/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/BatchNorm_Fold/bias/_16__cf__16/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/BatchNorm_Fold/bias/_16__cf__16/quantize', u'QuantizeV2', TensorShape([Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/BatchNorm_Fold/bias/_32__cf__32/reshape', u'Reshape', TensorShape([Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/BatchNorm_Fold/bias/_32__cf__32/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/BatchNorm_Fold/bias/_32__cf__32/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/BatchNorm_Fold/bias/_32__cf__32/quantize', u'QuantizeV2', TensorShape([Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/BatchNorm_Fold/bias/_66__cf__66/reshape', u'Reshape', TensorShape([Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/BatchNorm_Fold/bias/_66__cf__66/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/BatchNorm_Fold/bias/_66__cf__66/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/BatchNorm_Fold/bias/_66__cf__66/quantize', u'QuantizeV2', TensorShape([Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/weights_quant/FakeQuantWithMinMaxVars/_63__cf__63', u'Dequantize', TensorShape([Dimension(3), Dimension(3), Dimension(192), Dimension(1)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/weights_quant/FakeQuantWithMinMaxVars/_67__cf__67', u'Dequantize', TensorShape([Dimension(3), Dimension(3), Dimension(192), Dimension(1)]))
('Op: ', u'BoxPredictor_0/ClassPredictor/BiasAdd_eightbit/BoxPredictor_0/ClassPredictor/biases/reshape', u'Reshape', TensorShape([Dimension(114)]))
('Op: ', u'BoxPredictor_0/ClassPredictor/BiasAdd_eightbit/BoxPredictor_0/ClassPredictor/biases/max', u'Max', TensorShape([]))
('Op: ', u'BoxPredictor_0/ClassPredictor/BiasAdd_eightbit/BoxPredictor_0/ClassPredictor/biases/min', u'Min', TensorShape([]))
('Op: ', u'BoxPredictor_0/ClassPredictor/BiasAdd_eightbit/BoxPredictor_0/ClassPredictor/biases/quantize', u'QuantizeV2', TensorShape([Dimension(114)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/weights_quant/FakeQuantWithMinMaxVars/_35__cf__35', u'Dequantize', TensorShape([Dimension(3), Dimension(3), Dimension(384), Dimension(1)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/BatchNorm_Fold/bias/_56__cf__56/reshape', u'Reshape', TensorShape([Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/BatchNorm_Fold/bias/_56__cf__56/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/BatchNorm_Fold/bias/_56__cf__56/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/BatchNorm_Fold/bias/_56__cf__56/quantize', u'QuantizeV2', TensorShape([Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/BatchNorm_Fold/bias/_60__cf__60/reshape', u'Reshape', TensorShape([Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/BatchNorm_Fold/bias/_60__cf__60/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/BatchNorm_Fold/bias/_60__cf__60/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/BatchNorm_Fold/bias/_60__cf__60/quantize', u'QuantizeV2', TensorShape([Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/BatchNorm_Fold/bias/_74__cf__74/reshape', u'Reshape', TensorShape([Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/BatchNorm_Fold/bias/_74__cf__74/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/BatchNorm_Fold/bias/_74__cf__74/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/BatchNorm_Fold/bias/_74__cf__74/quantize', u'QuantizeV2', TensorShape([Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/BatchNorm_Fold/bias/_36__cf__36/reshape', u'Reshape', TensorShape([Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/BatchNorm_Fold/bias/_36__cf__36/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/BatchNorm_Fold/bias/_36__cf__36/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/BatchNorm_Fold/bias/_36__cf__36/quantize', u'QuantizeV2', TensorShape([Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/weights_quant/FakeQuantWithMinMaxVars/_39__cf__39', u'Dequantize', TensorShape([Dimension(3), Dimension(3), Dimension(384), Dimension(1)]))
('Op: ', u'BoxPredictor_1/ClassPredictor/BiasAdd_eightbit/BoxPredictor_1/ClassPredictor/biases/reshape', u'Reshape', TensorShape([Dimension(228)]))
('Op: ', u'BoxPredictor_1/ClassPredictor/BiasAdd_eightbit/BoxPredictor_1/ClassPredictor/biases/max', u'Max', TensorShape([]))
('Op: ', u'BoxPredictor_1/ClassPredictor/BiasAdd_eightbit/BoxPredictor_1/ClassPredictor/biases/min', u'Min', TensorShape([]))
('Op: ', u'BoxPredictor_1/ClassPredictor/BiasAdd_eightbit/BoxPredictor_1/ClassPredictor/biases/quantize', u'QuantizeV2', TensorShape([Dimension(228)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/BatchNorm_Fold/bias/_18__cf__18/reshape', u'Reshape', TensorShape([Dimension(48)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/BatchNorm_Fold/bias/_18__cf__18/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/BatchNorm_Fold/bias/_18__cf__18/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/BatchNorm_Fold/bias/_18__cf__18/quantize', u'QuantizeV2', TensorShape([Dimension(48)]))
('Op: ', u'BoxPredictor_3/ClassPredictor/BiasAdd_eightbit/BoxPredictor_3/ClassPredictor/biases/reshape', u'Reshape', TensorShape([Dimension(228)]))
('Op: ', u'BoxPredictor_3/ClassPredictor/BiasAdd_eightbit/BoxPredictor_3/ClassPredictor/biases/max', u'Max', TensorShape([]))
('Op: ', u'BoxPredictor_3/ClassPredictor/BiasAdd_eightbit/BoxPredictor_3/ClassPredictor/biases/min', u'Min', TensorShape([]))
('Op: ', u'BoxPredictor_3/ClassPredictor/BiasAdd_eightbit/BoxPredictor_3/ClassPredictor/biases/quantize', u'QuantizeV2', TensorShape([Dimension(228)]))
('Op: ', u'BoxPredictor_1/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_1/BoxEncodingPredictor/biases/reshape', u'Reshape', TensorShape([Dimension(24)]))
('Op: ', u'BoxPredictor_1/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_1/BoxEncodingPredictor/biases/max', u'Max', TensorShape([]))
('Op: ', u'BoxPredictor_1/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_1/BoxEncodingPredictor/biases/min', u'Min', TensorShape([]))
('Op: ', u'BoxPredictor_1/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_1/BoxEncodingPredictor/biases/quantize', u'QuantizeV2', TensorShape([Dimension(24)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/weights_quant/FakeQuantWithMinMaxVars/_71__cf__71', u'Dequantize', TensorShape([Dimension(3), Dimension(3), Dimension(384), Dimension(1)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/BatchNorm_Fold/bias/_72__cf__72/reshape', u'Reshape', TensorShape([Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/BatchNorm_Fold/bias/_72__cf__72/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/BatchNorm_Fold/bias/_72__cf__72/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/BatchNorm_Fold/bias/_72__cf__72/quantize', u'QuantizeV2', TensorShape([Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/weights_quant/FakeQuantWithMinMaxVars/_75__cf__75', u'Dequantize', TensorShape([Dimension(3), Dimension(3), Dimension(384), Dimension(1)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/BatchNorm_Fold/bias/_52__cf__52/reshape', u'Reshape', TensorShape([Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/BatchNorm_Fold/bias/_52__cf__52/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/BatchNorm_Fold/bias/_52__cf__52/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/BatchNorm_Fold/bias/_52__cf__52/quantize', u'QuantizeV2', TensorShape([Dimension(96)]))
('Op: ', u'BoxPredictor_5/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_5/BoxEncodingPredictor/biases/reshape', u'Reshape', TensorShape([Dimension(24)]))
('Op: ', u'BoxPredictor_5/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_5/BoxEncodingPredictor/biases/max', u'Max', TensorShape([]))
('Op: ', u'BoxPredictor_5/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_5/BoxEncodingPredictor/biases/min', u'Min', TensorShape([]))
('Op: ', u'BoxPredictor_5/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_5/BoxEncodingPredictor/biases/quantize', u'QuantizeV2', TensorShape([Dimension(24)]))
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('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/BatchNorm_Fold/bias/_42__cf__42/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/BatchNorm_Fold/bias/_42__cf__42/quantize', u'QuantizeV2', TensorShape([Dimension(768)]))
('Op: ', u'BoxPredictor_2/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_2/BoxEncodingPredictor/biases/reshape', u'Reshape', TensorShape([Dimension(24)]))
('Op: ', u'BoxPredictor_2/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_2/BoxEncodingPredictor/biases/max', u'Max', TensorShape([]))
('Op: ', u'BoxPredictor_2/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_2/BoxEncodingPredictor/biases/min', u'Min', TensorShape([]))
('Op: ', u'BoxPredictor_2/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_2/BoxEncodingPredictor/biases/quantize', u'QuantizeV2', TensorShape([Dimension(24)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/BatchNorm_Fold/bias/_38__cf__38/reshape', u'Reshape', TensorShape([Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/BatchNorm_Fold/bias/_38__cf__38/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/BatchNorm_Fold/bias/_38__cf__38/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/BatchNorm_Fold/bias/_38__cf__38/quantize', u'QuantizeV2', TensorShape([Dimension(384)]))
('Op: ', u'BoxPredictor_4/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_4/BoxEncodingPredictor/biases/reshape', u'Reshape', TensorShape([Dimension(24)]))
('Op: ', u'BoxPredictor_4/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_4/BoxEncodingPredictor/biases/max', u'Max', TensorShape([]))
('Op: ', u'BoxPredictor_4/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_4/BoxEncodingPredictor/biases/min', u'Min', TensorShape([]))
('Op: ', u'BoxPredictor_4/BoxEncodingPredictor/BiasAdd_eightbit/BoxPredictor_4/BoxEncodingPredictor/biases/quantize', u'QuantizeV2', TensorShape([Dimension(24)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Conv2D_Fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/weights_quant/FakeQuantWithMinMaxVars/_29__cf__29/reshape', u'Reshape', TensorShape([Dimension(648)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Conv2D_Fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/weights_quant/FakeQuantWithMinMaxVars/_29__cf__29/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Conv2D_Fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/weights_quant/FakeQuantWithMinMaxVars/_29__cf__29/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Conv2D_Fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/weights_quant/FakeQuantWithMinMaxVars/_29__cf__29/quantize', u'QuantizeV2', TensorShape([Dimension(3), Dimension(3), Dimension(3), Dimension(24)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/weights_quant/FakeQuantWithMinMaxVars/_31__cf__31', u'Dequantize', TensorShape([Dimension(3), Dimension(3), Dimension(384), Dimension(1)]))
('Op: ', u'normalized_input_image_tensor', u'Placeholder', TensorShape([Dimension(1), Dimension(300), Dimension(300), Dimension(3)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Conv2D_Fold_eightbit/normalized_input_image_tensor__port__0/reshape', u'Reshape', TensorShape([Dimension(270000)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Conv2D_Fold_eightbit/normalized_input_image_tensor__port__0/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Conv2D_Fold_eightbit/normalized_input_image_tensor__port__0/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Conv2D_Fold_eightbit/normalized_input_image_tensor__port__0/quantize', u'QuantizeV2', TensorShape([Dimension(1), Dimension(300), Dimension(300), Dimension(3)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Conv2D_Fold/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(150), Dimension(150), Dimension(24)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Conv2D_Fold/eightbit/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Conv2D_Fold/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Conv2D_Fold/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(150), Dimension(150), Dimension(24)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(150), Dimension(150), Dimension(24)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(150), Dimension(150), Dimension(24)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(150), Dimension(150), Dimension(24)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/act_quant/FakeQuantWithMinMaxVars', u'Dequantize', TensorShape([Dimension(1), Dimension(150), Dimension(150), Dimension(24)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/depthwise_Fold', u'DepthwiseConv2dNative', TensorShape([Dimension(1), Dimension(150), Dimension(150), Dimension(24)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/depthwise_Fold/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/depthwise_Fold/reshape', u'Reshape', TensorShape([Dimension(540000)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/depthwise_Fold/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/depthwise_Fold/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/depthwise_Fold/quantize', u'QuantizeV2', TensorShape([Dimension(1), Dimension(150), Dimension(150), Dimension(24)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(150), Dimension(150), Dimension(24)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(150), Dimension(150), Dimension(24)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(150), Dimension(150), Dimension(24)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/Conv2D_Fold/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(150), Dimension(150), Dimension(48)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/Conv2D_Fold/eightbit/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/Conv2D_Fold/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/Conv2D_Fold/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(150), Dimension(150), Dimension(48)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(150), Dimension(150), Dimension(48)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(150), Dimension(150), Dimension(48)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(150), Dimension(150), Dimension(48)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/act_quant/FakeQuantWithMinMaxVars', u'Dequantize', TensorShape([Dimension(1), Dimension(150), Dimension(150), Dimension(48)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/depthwise_Fold', u'DepthwiseConv2dNative', TensorShape([Dimension(1), Dimension(75), Dimension(75), Dimension(48)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/depthwise_Fold/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/depthwise_Fold/reshape', u'Reshape', TensorShape([Dimension(270000)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/depthwise_Fold/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/depthwise_Fold/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/depthwise_Fold/quantize', u'QuantizeV2', TensorShape([Dimension(1), Dimension(75), Dimension(75), Dimension(48)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(75), Dimension(75), Dimension(48)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(75), Dimension(75), Dimension(48)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(75), Dimension(75), Dimension(48)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/Conv2D_Fold/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(75), Dimension(75), Dimension(96)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/Conv2D_Fold/eightbit/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/Conv2D_Fold/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/Conv2D_Fold/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(75), Dimension(75), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(75), Dimension(75), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(75), Dimension(75), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(75), Dimension(75), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/act_quant/FakeQuantWithMinMaxVars', u'Dequantize', TensorShape([Dimension(1), Dimension(75), Dimension(75), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/depthwise_Fold', u'DepthwiseConv2dNative', TensorShape([Dimension(1), Dimension(75), Dimension(75), Dimension(96)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/depthwise_Fold/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/depthwise_Fold/reshape', u'Reshape', TensorShape([Dimension(540000)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/depthwise_Fold/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/depthwise_Fold/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/depthwise_Fold/quantize', u'QuantizeV2', TensorShape([Dimension(1), Dimension(75), Dimension(75), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(75), Dimension(75), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(75), Dimension(75), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(75), Dimension(75), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/weights_quant/FakeQuantWithMinMaxVars/_79__cf__79', u'Dequantize', TensorShape([Dimension(3), Dimension(3), Dimension(384), Dimension(1)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/BatchNorm_Fold/bias/_24__cf__24/reshape', u'Reshape', TensorShape([Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/BatchNorm_Fold/bias/_24__cf__24/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/BatchNorm_Fold/bias/_24__cf__24/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/add_fold_eightbit/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/BatchNorm_Fold/bias/_24__cf__24/quantize', u'QuantizeV2', TensorShape([Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/Conv2D_Fold/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(75), Dimension(75), Dimension(96)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/Conv2D_Fold/eightbit/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/Conv2D_Fold/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/Conv2D_Fold/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(75), Dimension(75), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(75), Dimension(75), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(75), Dimension(75), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(75), Dimension(75), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/act_quant/FakeQuantWithMinMaxVars', u'Dequantize', TensorShape([Dimension(1), Dimension(75), Dimension(75), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/depthwise_Fold', u'DepthwiseConv2dNative', TensorShape([Dimension(1), Dimension(38), Dimension(38), Dimension(96)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/depthwise_Fold/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/depthwise_Fold/reshape', u'Reshape', TensorShape([Dimension(138624)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/depthwise_Fold/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/depthwise_Fold/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/depthwise_Fold/quantize', u'QuantizeV2', TensorShape([Dimension(1), Dimension(38), Dimension(38), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(38), Dimension(38), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(38), Dimension(38), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(38), Dimension(38), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/Conv2D_Fold/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(38), Dimension(38), Dimension(192)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/Conv2D_Fold/eightbit/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/Conv2D_Fold/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/Conv2D_Fold/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(38), Dimension(38), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(38), Dimension(38), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(38), Dimension(38), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(38), Dimension(38), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/act_quant/FakeQuantWithMinMaxVars', u'Dequantize', TensorShape([Dimension(1), Dimension(38), Dimension(38), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/depthwise_Fold', u'DepthwiseConv2dNative', TensorShape([Dimension(1), Dimension(38), Dimension(38), Dimension(192)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/depthwise_Fold/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/depthwise_Fold/reshape', u'Reshape', TensorShape([Dimension(277248)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/depthwise_Fold/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/depthwise_Fold/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/depthwise_Fold/quantize', u'QuantizeV2', TensorShape([Dimension(1), Dimension(38), Dimension(38), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(38), Dimension(38), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(38), Dimension(38), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(38), Dimension(38), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/Conv2D_Fold/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(38), Dimension(38), Dimension(192)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/Conv2D_Fold/eightbit/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/Conv2D_Fold/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/Conv2D_Fold/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(38), Dimension(38), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(38), Dimension(38), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(38), Dimension(38), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(38), Dimension(38), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/act_quant/FakeQuantWithMinMaxVars', u'Dequantize', TensorShape([Dimension(1), Dimension(38), Dimension(38), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/depthwise_Fold', u'DepthwiseConv2dNative', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(192)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/depthwise_Fold/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/depthwise_Fold/reshape', u'Reshape', TensorShape([Dimension(69312)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/depthwise_Fold/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/depthwise_Fold/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/depthwise_Fold/quantize', u'QuantizeV2', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/Conv2D_Fold/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/Conv2D_Fold/eightbit/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/Conv2D_Fold/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/Conv2D_Fold/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/act_quant/FakeQuantWithMinMaxVars', u'Dequantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/depthwise_Fold', u'DepthwiseConv2dNative', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/depthwise_Fold/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/depthwise_Fold/reshape', u'Reshape', TensorShape([Dimension(138624)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/depthwise_Fold/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/depthwise_Fold/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/depthwise_Fold/quantize', u'QuantizeV2', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/Conv2D_Fold/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/Conv2D_Fold/eightbit/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/Conv2D_Fold/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/Conv2D_Fold/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/act_quant/FakeQuantWithMinMaxVars', u'Dequantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/depthwise_Fold', u'DepthwiseConv2dNative', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/depthwise_Fold/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/depthwise_Fold/reshape', u'Reshape', TensorShape([Dimension(138624)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/depthwise_Fold/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/depthwise_Fold/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/depthwise_Fold/quantize', u'QuantizeV2', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/Conv2D_Fold/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/Conv2D_Fold/eightbit/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/Conv2D_Fold/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/Conv2D_Fold/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/act_quant/FakeQuantWithMinMaxVars', u'Dequantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/depthwise_Fold', u'DepthwiseConv2dNative', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/depthwise_Fold/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/depthwise_Fold/reshape', u'Reshape', TensorShape([Dimension(138624)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/depthwise_Fold/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/depthwise_Fold/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/depthwise_Fold/quantize', u'QuantizeV2', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/Conv2D_Fold/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/Conv2D_Fold/eightbit/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/Conv2D_Fold/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/Conv2D_Fold/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/act_quant/FakeQuantWithMinMaxVars', u'Dequantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/depthwise_Fold', u'DepthwiseConv2dNative', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/depthwise_Fold/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/depthwise_Fold/reshape', u'Reshape', TensorShape([Dimension(138624)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/depthwise_Fold/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/depthwise_Fold/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/depthwise_Fold/quantize', u'QuantizeV2', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/Conv2D_Fold/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/Conv2D_Fold/eightbit/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/Conv2D_Fold/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/Conv2D_Fold/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/act_quant/FakeQuantWithMinMaxVars', u'Dequantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/depthwise_Fold', u'DepthwiseConv2dNative', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/depthwise_Fold/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/depthwise_Fold/reshape', u'Reshape', TensorShape([Dimension(138624)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/depthwise_Fold/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/depthwise_Fold/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/depthwise_Fold/quantize', u'QuantizeV2', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Conv2D_Fold/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Conv2D_Fold/eightbit/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Conv2D_Fold/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Conv2D_Fold/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'BoxPredictor_0/ClassPredictor/Conv2D/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(114)]))
('Add const node: ', u'BoxPredictor_0/ClassPredictor/Conv2D/eightbit/strides')
('Op: ', u'BoxPredictor_0/ClassPredictor/Conv2D/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'BoxPredictor_0/ClassPredictor/Conv2D/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(114)]))
('Op: ', u'BoxPredictor_0/ClassPredictor/BiasAdd/eightbit', u'QuantizedBiasAdd', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(114)]))
('Op: ', u'BoxPredictor_0/ClassPredictor/act_quant/FakeQuantWithMinMaxVars_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(114)]))
('Op: ', u'BoxPredictor_0/Reshape_1/eightbit', u'QuantizedReshape', TensorShape([Dimension(1), Dimension(1083), Dimension(38)]))
('Op: ', u'BoxPredictor_0/Reshape_1', u'Dequantize', TensorShape([Dimension(1), Dimension(1083), Dimension(38)]))
('Op: ', u'BoxPredictor_0/BoxEncodingPredictor/Conv2D/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(12)]))
('Add const node: ', u'BoxPredictor_0/BoxEncodingPredictor/Conv2D/eightbit/strides')
('Op: ', u'BoxPredictor_0/BoxEncodingPredictor/Conv2D/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'BoxPredictor_0/BoxEncodingPredictor/Conv2D/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(12)]))
('Op: ', u'BoxPredictor_0/BoxEncodingPredictor/BiasAdd/eightbit', u'QuantizedBiasAdd', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(12)]))
('Op: ', u'BoxPredictor_0/BoxEncodingPredictor/act_quant/FakeQuantWithMinMaxVars_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(12)]))
('Op: ', u'BoxPredictor_0/Reshape/eightbit', u'QuantizedReshape', TensorShape([Dimension(1), Dimension(1083), Dimension(1), Dimension(4)]))
('Op: ', u'BoxPredictor_0/Reshape', u'Dequantize', TensorShape([Dimension(1), Dimension(1083), Dimension(1), Dimension(4)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/act_quant/FakeQuantWithMinMaxVars', u'Dequantize', TensorShape([Dimension(1), Dimension(19), Dimension(19), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/depthwise_Fold', u'DepthwiseConv2dNative', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/depthwise_Fold/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/depthwise_Fold/reshape', u'Reshape', TensorShape([Dimension(38400)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/depthwise_Fold/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/depthwise_Fold/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/depthwise_Fold/quantize', u'QuantizeV2', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/Conv2D_Fold/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(768)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/Conv2D_Fold/eightbit/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/Conv2D_Fold/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/Conv2D_Fold/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(768)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/BatchNorm_Fold/bias/_40__cf__40/reshape', u'Reshape', TensorShape([Dimension(768)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/BatchNorm_Fold/bias/_40__cf__40/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/BatchNorm_Fold/bias/_40__cf__40/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/BatchNorm_Fold/bias/_40__cf__40/quantize', u'QuantizeV2', TensorShape([Dimension(768)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(768)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(768)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(768)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/act_quant/FakeQuantWithMinMaxVars', u'Dequantize', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(768)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/depthwise_Fold', u'DepthwiseConv2dNative', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(768)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/depthwise_Fold/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/depthwise_Fold/reshape', u'Reshape', TensorShape([Dimension(76800)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/depthwise_Fold/min', u'Min', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/depthwise_Fold/max', u'Max', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/add_fold_eightbit/FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/depthwise_Fold/quantize', u'QuantizeV2', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(768)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(768)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(768)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(768)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Conv2D_Fold/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(768)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Conv2D_Fold/eightbit/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Conv2D_Fold/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Conv2D_Fold/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(768)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(768)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(768)]))
('Op: ', u'FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(768)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/Conv2D_Fold/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(192)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/Conv2D_Fold/eightbit/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/Conv2D_Fold/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/Conv2D_Fold/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/Conv2D_Fold/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(5), Dimension(5), Dimension(384)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/Conv2D_Fold/eightbit/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/Conv2D_Fold/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/Conv2D_Fold/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(5), Dimension(5), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(5), Dimension(5), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(5), Dimension(5), Dimension(384)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(5), Dimension(5), Dimension(384)]))
('Op: ', u'BoxPredictor_2/BoxEncodingPredictor/Conv2D/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(5), Dimension(5), Dimension(24)]))
('Add const node: ', u'BoxPredictor_2/BoxEncodingPredictor/Conv2D/eightbit/strides')
('Op: ', u'BoxPredictor_2/BoxEncodingPredictor/Conv2D/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'BoxPredictor_2/BoxEncodingPredictor/Conv2D/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(5), Dimension(5), Dimension(24)]))
('Op: ', u'BoxPredictor_2/BoxEncodingPredictor/BiasAdd/eightbit', u'QuantizedBiasAdd', TensorShape([Dimension(1), Dimension(5), Dimension(5), Dimension(24)]))
('Op: ', u'BoxPredictor_2/BoxEncodingPredictor/act_quant/FakeQuantWithMinMaxVars_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(5), Dimension(5), Dimension(24)]))
('Op: ', u'BoxPredictor_2/Reshape/eightbit', u'QuantizedReshape', TensorShape([Dimension(1), Dimension(150), Dimension(1), Dimension(4)]))
('Op: ', u'BoxPredictor_2/Reshape', u'Dequantize', TensorShape([Dimension(1), Dimension(150), Dimension(1), Dimension(4)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/Conv2D_Fold/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(5), Dimension(5), Dimension(96)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/Conv2D_Fold/eightbit/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/Conv2D_Fold/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/Conv2D_Fold/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(5), Dimension(5), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(5), Dimension(5), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(5), Dimension(5), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(5), Dimension(5), Dimension(96)]))
('Op: ', u'BoxPredictor_2/ClassPredictor/Conv2D/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(5), Dimension(5), Dimension(228)]))
('Add const node: ', u'BoxPredictor_2/ClassPredictor/Conv2D/eightbit/strides')
('Op: ', u'BoxPredictor_2/ClassPredictor/Conv2D/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'BoxPredictor_2/ClassPredictor/Conv2D/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(5), Dimension(5), Dimension(228)]))
('Op: ', u'BoxPredictor_2/ClassPredictor/BiasAdd/eightbit', u'QuantizedBiasAdd', TensorShape([Dimension(1), Dimension(5), Dimension(5), Dimension(228)]))
('Op: ', u'BoxPredictor_2/ClassPredictor/act_quant/FakeQuantWithMinMaxVars_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(5), Dimension(5), Dimension(228)]))
('Op: ', u'BoxPredictor_2/Reshape_1/eightbit', u'QuantizedReshape', TensorShape([Dimension(1), Dimension(150), Dimension(38)]))
('Op: ', u'BoxPredictor_2/Reshape_1', u'Dequantize', TensorShape([Dimension(1), Dimension(150), Dimension(38)]))
('Op: ', u'BoxPredictor_1/BoxEncodingPredictor/Conv2D/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(24)]))
('Add const node: ', u'BoxPredictor_1/BoxEncodingPredictor/Conv2D/eightbit/strides')
('Op: ', u'BoxPredictor_1/BoxEncodingPredictor/Conv2D/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'BoxPredictor_1/BoxEncodingPredictor/Conv2D/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(24)]))
('Op: ', u'BoxPredictor_1/BoxEncodingPredictor/BiasAdd/eightbit', u'QuantizedBiasAdd', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(24)]))
('Op: ', u'BoxPredictor_1/BoxEncodingPredictor/act_quant/FakeQuantWithMinMaxVars_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(24)]))
('Op: ', u'BoxPredictor_1/Reshape/eightbit', u'QuantizedReshape', TensorShape([Dimension(1), Dimension(600), Dimension(1), Dimension(4)]))
('Op: ', u'BoxPredictor_1/Reshape', u'Dequantize', TensorShape([Dimension(1), Dimension(600), Dimension(1), Dimension(4)]))
('Op: ', u'BoxPredictor_1/ClassPredictor/Conv2D/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(228)]))
('Add const node: ', u'BoxPredictor_1/ClassPredictor/Conv2D/eightbit/strides')
('Op: ', u'BoxPredictor_1/ClassPredictor/Conv2D/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'BoxPredictor_1/ClassPredictor/Conv2D/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(228)]))
('Op: ', u'BoxPredictor_1/ClassPredictor/BiasAdd/eightbit', u'QuantizedBiasAdd', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(228)]))
('Op: ', u'BoxPredictor_1/ClassPredictor/act_quant/FakeQuantWithMinMaxVars_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(10), Dimension(10), Dimension(228)]))
('Op: ', u'BoxPredictor_1/Reshape_1/eightbit', u'QuantizedReshape', TensorShape([Dimension(1), Dimension(600), Dimension(38)]))
('Op: ', u'BoxPredictor_1/Reshape_1', u'Dequantize', TensorShape([Dimension(1), Dimension(600), Dimension(38)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/Conv2D_Fold/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(3), Dimension(3), Dimension(192)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/Conv2D_Fold/eightbit/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/Conv2D_Fold/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/Conv2D_Fold/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(3), Dimension(3), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(3), Dimension(3), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(3), Dimension(3), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(3), Dimension(3), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/Conv2D_Fold/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(3), Dimension(3), Dimension(96)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/Conv2D_Fold/eightbit/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/Conv2D_Fold/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/Conv2D_Fold/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(3), Dimension(3), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(3), Dimension(3), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(3), Dimension(3), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(3), Dimension(3), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/Conv2D_Fold/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(2), Dimension(2), Dimension(192)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/Conv2D_Fold/eightbit/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/Conv2D_Fold/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/Conv2D_Fold/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(2), Dimension(2), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(2), Dimension(2), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(2), Dimension(2), Dimension(192)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(2), Dimension(2), Dimension(192)]))
('Op: ', u'BoxPredictor_4/ClassPredictor/Conv2D/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(2), Dimension(2), Dimension(228)]))
('Add const node: ', u'BoxPredictor_4/ClassPredictor/Conv2D/eightbit/strides')
('Op: ', u'BoxPredictor_4/ClassPredictor/Conv2D/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'BoxPredictor_4/ClassPredictor/Conv2D/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(2), Dimension(2), Dimension(228)]))
('Op: ', u'BoxPredictor_4/ClassPredictor/BiasAdd/eightbit', u'QuantizedBiasAdd', TensorShape([Dimension(1), Dimension(2), Dimension(2), Dimension(228)]))
('Op: ', u'BoxPredictor_4/ClassPredictor/act_quant/FakeQuantWithMinMaxVars_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(2), Dimension(2), Dimension(228)]))
('Op: ', u'BoxPredictor_4/Reshape_1/eightbit', u'QuantizedReshape', TensorShape([Dimension(1), Dimension(24), Dimension(38)]))
('Op: ', u'BoxPredictor_4/Reshape_1', u'Dequantize', TensorShape([Dimension(1), Dimension(24), Dimension(38)]))
('Op: ', u'BoxPredictor_4/BoxEncodingPredictor/Conv2D/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(2), Dimension(2), Dimension(24)]))
('Add const node: ', u'BoxPredictor_4/BoxEncodingPredictor/Conv2D/eightbit/strides')
('Op: ', u'BoxPredictor_4/BoxEncodingPredictor/Conv2D/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'BoxPredictor_4/BoxEncodingPredictor/Conv2D/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(2), Dimension(2), Dimension(24)]))
('Op: ', u'BoxPredictor_4/BoxEncodingPredictor/BiasAdd/eightbit', u'QuantizedBiasAdd', TensorShape([Dimension(1), Dimension(2), Dimension(2), Dimension(24)]))
('Op: ', u'BoxPredictor_4/BoxEncodingPredictor/act_quant/FakeQuantWithMinMaxVars_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(2), Dimension(2), Dimension(24)]))
('Op: ', u'BoxPredictor_4/Reshape/eightbit', u'QuantizedReshape', TensorShape([Dimension(1), Dimension(24), Dimension(1), Dimension(4)]))
('Op: ', u'BoxPredictor_4/Reshape', u'Dequantize', TensorShape([Dimension(1), Dimension(24), Dimension(1), Dimension(4)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/Conv2D_Fold/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(2), Dimension(2), Dimension(48)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/Conv2D_Fold/eightbit/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/Conv2D_Fold/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/Conv2D_Fold/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(2), Dimension(2), Dimension(48)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(2), Dimension(2), Dimension(48)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(2), Dimension(2), Dimension(48)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(2), Dimension(2), Dimension(48)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/Conv2D_Fold/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(1), Dimension(1), Dimension(96)]))
('Add const node: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/Conv2D_Fold/eightbit/strides')
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/Conv2D_Fold/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/Conv2D_Fold/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(1), Dimension(1), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/add_fold/eightbit', u'QuantizedAdd', TensorShape([Dimension(1), Dimension(1), Dimension(1), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/act_quant/FakeQuantWithMinMaxVars_hoisted_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(1), Dimension(1), Dimension(96)]))
('Op: ', u'FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/act_quant/FakeQuantWithMinMaxVars/eightbit', u'QuantizedRelu6', TensorShape([Dimension(1), Dimension(1), Dimension(1), Dimension(96)]))
('Op: ', u'BoxPredictor_5/BoxEncodingPredictor/Conv2D/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(1), Dimension(1), Dimension(24)]))
('Add const node: ', u'BoxPredictor_5/BoxEncodingPredictor/Conv2D/eightbit/strides')
('Op: ', u'BoxPredictor_5/BoxEncodingPredictor/Conv2D/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'BoxPredictor_5/BoxEncodingPredictor/Conv2D/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(1), Dimension(1), Dimension(24)]))
('Op: ', u'BoxPredictor_5/BoxEncodingPredictor/BiasAdd/eightbit', u'QuantizedBiasAdd', TensorShape([Dimension(1), Dimension(1), Dimension(1), Dimension(24)]))
('Op: ', u'BoxPredictor_5/BoxEncodingPredictor/act_quant/FakeQuantWithMinMaxVars_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(1), Dimension(1), Dimension(24)]))
('Op: ', u'BoxPredictor_5/Reshape/eightbit', u'QuantizedReshape', TensorShape([Dimension(1), Dimension(6), Dimension(1), Dimension(4)]))
('Op: ', u'BoxPredictor_5/Reshape', u'Dequantize', TensorShape([Dimension(1), Dimension(6), Dimension(1), Dimension(4)]))
('Op: ', u'BoxPredictor_5/ClassPredictor/Conv2D/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(1), Dimension(1), Dimension(228)]))
('Add const node: ', u'BoxPredictor_5/ClassPredictor/Conv2D/eightbit/strides')
('Op: ', u'BoxPredictor_5/ClassPredictor/Conv2D/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'BoxPredictor_5/ClassPredictor/Conv2D/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(1), Dimension(1), Dimension(228)]))
('Op: ', u'BoxPredictor_5/ClassPredictor/BiasAdd/eightbit', u'QuantizedBiasAdd', TensorShape([Dimension(1), Dimension(1), Dimension(1), Dimension(228)]))
('Op: ', u'BoxPredictor_5/ClassPredictor/act_quant/FakeQuantWithMinMaxVars_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(1), Dimension(1), Dimension(228)]))
('Op: ', u'BoxPredictor_5/Reshape_1/eightbit', u'QuantizedReshape', TensorShape([Dimension(1), Dimension(6), Dimension(38)]))
('Op: ', u'BoxPredictor_5/Reshape_1', u'Dequantize', TensorShape([Dimension(1), Dimension(6), Dimension(38)]))
('Op: ', u'BoxPredictor_3/ClassPredictor/Conv2D/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(3), Dimension(3), Dimension(228)]))
('Add const node: ', u'BoxPredictor_3/ClassPredictor/Conv2D/eightbit/strides')
('Op: ', u'BoxPredictor_3/ClassPredictor/Conv2D/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'BoxPredictor_3/ClassPredictor/Conv2D/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(3), Dimension(3), Dimension(228)]))
('Op: ', u'BoxPredictor_3/ClassPredictor/BiasAdd/eightbit', u'QuantizedBiasAdd', TensorShape([Dimension(1), Dimension(3), Dimension(3), Dimension(228)]))
('Op: ', u'BoxPredictor_3/ClassPredictor/act_quant/FakeQuantWithMinMaxVars_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(3), Dimension(3), Dimension(228)]))
('Op: ', u'BoxPredictor_3/Reshape_1/eightbit', u'QuantizedReshape', TensorShape([Dimension(1), Dimension(54), Dimension(38)]))
('Op: ', u'BoxPredictor_3/Reshape_1', u'Dequantize', TensorShape([Dimension(1), Dimension(54), Dimension(38)]))
('Op: ', u'concat_1', u'ConcatV2', TensorShape([Dimension(1), Dimension(1917), Dimension(38)]))
('Op: ', u'scale_logits', u'RealDiv', TensorShape([Dimension(1), Dimension(1917), Dimension(38)]))
('Op: ', u'convert_scores', u'Sigmoid', TensorShape([Dimension(1), Dimension(1917), Dimension(38)]))
('Op: ', u'BoxPredictor_3/BoxEncodingPredictor/Conv2D/eightbit', u'QuantizedConv2D', TensorShape([Dimension(1), Dimension(3), Dimension(3), Dimension(24)]))
('Add const node: ', u'BoxPredictor_3/BoxEncodingPredictor/Conv2D/eightbit/strides')
('Op: ', u'BoxPredictor_3/BoxEncodingPredictor/Conv2D/eightbit/requant_range', u'RequantizationRange', TensorShape([]))
('Op: ', u'BoxPredictor_3/BoxEncodingPredictor/Conv2D/eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(3), Dimension(3), Dimension(24)]))
('Op: ', u'BoxPredictor_3/BoxEncodingPredictor/BiasAdd/eightbit', u'QuantizedBiasAdd', TensorShape([Dimension(1), Dimension(3), Dimension(3), Dimension(24)]))
('Op: ', u'BoxPredictor_3/BoxEncodingPredictor/act_quant/FakeQuantWithMinMaxVars_eightbit/requantize', u'Requantize', TensorShape([Dimension(1), Dimension(3), Dimension(3), Dimension(24)]))
('Op: ', u'BoxPredictor_3/Reshape/eightbit', u'QuantizedReshape', TensorShape([Dimension(1), Dimension(54), Dimension(1), Dimension(4)]))
('Op: ', u'BoxPredictor_3/Reshape', u'Dequantize', TensorShape([Dimension(1), Dimension(54), Dimension(1), Dimension(4)]))
('Op: ', u'concat', u'ConcatV2', TensorShape([Dimension(1), Dimension(1917), Dimension(1), Dimension(4)]))
('Op: ', u'Squeeze', u'Squeeze', TensorShape([Dimension(1), Dimension(1917), Dimension(4)]))
Traceback (most recent call last):
  File "/home/ANT.AMAZON.COM/chanchaz/workspace/snpe/mace/bazel-bin/mace/python/tools/converter.runfiles/mace/mace/python/tools/converter.py", line 300, in <module>
    main(unused_args=[sys.argv[0]] + unparsed)
  File "/home/ANT.AMAZON.COM/chanchaz/workspace/snpe/mace/bazel-bin/mace/python/tools/converter.runfiles/mace/mace/python/tools/converter.py", line 104, in main
    FLAGS.dsp_mode)
  File "/home/ANT.AMAZON.COM/chanchaz/workspace/snpe/mace/bazel-bin/mace/python/tools/converter.runfiles/mace/mace/python/tools/tf_dsp_converter_lib.py", line 607, in convert_to_mace_pb
    net_def_with_node_id = add_node_id(sorted_net_def)
  File "/home/ANT.AMAZON.COM/chanchaz/workspace/snpe/mace/bazel-bin/mace/python/tools/converter.runfiles/mace/mace/python/tools/tf_dsp_converter_lib.py", line 484, in add_node_id
    node_id = node_id_map[op_name]
KeyError: u'Squeeze,convert_scores'
Traceback (most recent call last):
  File "tools/converter.py", line 1595, in <module>
    flags.func(flags)
  File "tools/converter.py", line 785, in convert_func
    convert_model(configs)
  File "tools/converter.py", line 711, in convert_model
    ",".join(model_config.get(YAMLKeyword.graph_optimize_options, [])))
  File "/home/ANT.AMAZON.COM/chanchaz/workspace/snpe/mace/tools/sh_commands.py", line 524, in gen_model_code
    _fg=True)
  File "/home/ANT.AMAZON.COM/chanchaz/.local/lib/python2.7/site-packages/sh.py", line 1413, in __call__
    raise exc
sh.ErrorReturnCode_1:

  RAN: /usr/bin/python bazel-bin/mace/python/tools/converter -u --platform=tensorflow --model_file=/home/ANT.AMAZON.COM/chanchaz/workspace/snpe/work/ssd-tflite/tflite/tf_model_opt_quant_4_remove_identity.pb --weight_file= --model_checksum=acddf75d531e168c0cc5ecd2af11794e8f7ced38cc1827497df0ddc5e78e4ccc --weight_checksum= --input_node=normalized_input_image_tensor --output_node=Squeeze,convert_scores --runtime=dsp --template=mace/python/tools --model_tag=mobilenet_v1 --input_shape=1,300,300,3 --dsp_mode=0 --embed_model_data=False --winograd=0 --obfuscate=0 --output_dir=mace/codegen/models/mobilenet_v1 --model_graph_format=file --data_type=uint8 --graph_optimize_options=

  STDOUT:

  STDERR:

Additional context

Add any other context about the problem here, e.g., what you have modified about the code.

peyer commented 6 years ago

@chanchanzhang Do you use ssd-lite with permute, norm, detectionout layer(operator)? If true, dose mace support to transform operators above to self operators? I did not find corresponding ssd-operators in ${MACE_ROOT}/mace/ops

liyinhgqw commented 6 years ago

No, we have not supported SSD yet, and require only one input/output.

chanchanzhang-zz commented 6 years ago

@peyer , I was focusing on running mobiltnet-ssd on dsp, not ssdlite. you can use script provided in tensorflow to optimize the model, for example, use object_detection/export_tflite_ssd_graph.py, you can remove post_processing (--add_postprocessing_op=false), use transform_graph, you should be able to remove batchnorm (fold_batch_norms)

chanchanzhang-zz commented 6 years ago

@liyinhgqw Can you mark this as a feature request? what is the plan to support SSD?

liyinhgqw commented 6 years ago

Okay. We plan to support SSD CPU/GPU, and later support DSP if Qualcomm nnlib has its ops implemented.