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Quantizing yolov4 error #62

Open krishnaadithya opened 2 years ago

krishnaadithya commented 2 years ago

Traceback (most recent call last): File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/python/framework/importer.py", line 501, in _import_graph_def_internal graph._c_graph, serialized, options) # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: NodeDef mentions attr 'exponential_avg_factor' not in Op<name=FusedBatchNormV3; signature=x:T, scale:U, offset:U, mean:U, variance:U -> y:T, batch_mean:U, batch_variance:U, reserve_space_1:U, reserve_space_2:U, reserve_space_3:U; attr=T:type,allowed=[DT_HALF, DT_BFLOAT16, DT_FLOAT]; attr=U:type,allowed=[DT_FLOAT]; attr=epsilon:float,default=0.0001; attr=data_format:string,default="NHWC",allowed=["NHWC", "NCHW"]; attr=is_training:bool,default=true>; NodeDef: {{node batch_normalization/FusedBatchNormV3}}. (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/bin/vai_q_tensorflow", line 11, in sys.exit(run_main()) File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/contrib/decent_q/python/decent_q.py", line 1061, in run_main app.run(main=my_main, argv=[sys.argv[0]] + unparsed) File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/python/platform/app.py", line 40, in run _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef) File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/absl/app.py", line 312, in run _run_main(main, args) File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/absl/app.py", line 258, in _run_main sys.exit(main(argv)) File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/contrib/decent_q/python/decent_q.py", line 1060, in my_main = lambda unused_args: main(unused_args, FLAGS) File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/contrib/decent_q/python/decent_q.py", line 676, in main flags.skip_check, flags.dump_as_xir) File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/contrib/decent_q/python/decent_q.py", line 375, in quantize_frozen check_float_graph(input_graph_def, input_fn, q_config, s_config) File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/contrib/decent_q/python/decent_q.py", line 275, in check_float_graph importer.import_graph_def(input_graph_def, name='') File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/python/util/deprecation.py", line 507, in new_func return func(*args, **kwargs) File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/python/framework/importer.py", line 405, in import_graph_def producer_op_list=producer_op_list) File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/python/framework/importer.py", line 505, in _import_graph_def_internal raise ValueError(str(e)) ValueError: NodeDef mentions attr 'exponential_avg_factor' not in Op<name=FusedBatchNormV3; signature=x:T, scale:U, offset:U, mean:U, variance:U -> y:T, batch_mean:U, batch_variance:U, reserve_space_1:U, reserve_space_2:U, reserve_space_3:U; attr=T:type,allowed=[DTHALF, DT

IanCheng18 commented 2 years ago

Same issue, I am using tensorflow = 1.15.2 and running everything fine until this point. Encounter "Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary" VitisAI-Tutorial version: 1.14.0

IanCheng18 commented 2 years ago

I solved this issue by using the exact docker image provided here in my case I used VitisAI 1.4.1. Then it worked without issue.

bhargavin1872008 commented 1 year ago

when running the requirements.txt of keras-yolov3-modelset -i 'm getting error for coremltools.it is showing like "couldn't find a version that satisfies the requirement tensorflow<=1.14 and tensorflow >=1.5(from tfcoremltools -r requirements.txt).(from version :2.2.0,2.2..1, 2.2.2, ...2.7.0rc0,2.7.0.rc1............) like this .can someone help me regarding this. Also ,i have a doubt .can we use ubuntu 20.04 ,cuda 11.7 ,cudnn 8.4.0 for this project. or have to use ubuntu 18.04,cuda 10.0 only which only works.please help me regarding this,i have less time in my hand.