zzh8829
commented
5 years ago maybe there some api difference in tf2 and tf1.12 I never tested this on tf1.12 so can't really answer
Closed Hugh0120 closed 5 years ago
zzh8829
commented
5 years ago maybe there some api difference in tf2 and tf1.12 I never tested this on tf1.12 so can't really answer
hollowgalaxy
commented
5 years ago I found same issue in tf 1.13. I ll I did was run python convert.py after using your command to download the weights.
W0712 13:05:21.441559 140197088499456 deprecation.py:323] From /home/hollowgalaxy/anaconda3/envs/py36/lib/python3.7/site-packages/tensorflow/python/ops/resource_variable_ops.py:435: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
Traceback (most recent call last):
File "/home/hollowgalaxy/anaconda3/envs/py36/lib/python3.7/site-packages/tensorflow/python/framework/ops.py", line 1659, in _create_c_op
c_op = c_api.TF_FinishOperation(op_desc)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Shape must be rank 4 but is rank 5 for 'yolo_conv_1/conv2d_59/Conv2D' (op: 'Conv2D') with input shapes: [2,?,?,?,512], [1,1,512,256].
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "convert.py", line 33, in <module>
app.run(main)
File "/home/hollowgalaxy/anaconda3/envs/py36/lib/python3.7/site-packages/absl/app.py", line 300, in run
_run_main(main, args)
File "/home/hollowgalaxy/anaconda3/envs/py36/lib/python3.7/site-packages/absl/app.py", line 251, in _run_main
sys.exit(main(argv))
File "convert.py", line 16, in main
yolo = YoloV3()
File "/home/hollowgalaxy/Github/amazon_demo/recognition_docker/yolov3_tf2/yolov3_tf2/models.py", line 207, in YoloV3
x = YoloConv(256, name='yolo_conv_1')((x, x_61))
File "/home/hollowgalaxy/Github/amazon_demo/recognition_docker/yolov3_tf2/yolov3_tf2/models.py", line 112, in yolo_conv
return Model(inputs, x, name=name)(x_in)
File "/home/hollowgalaxy/anaconda3/envs/py36/lib/python3.7/site-packages/tensorflow/python/keras/engine/base_layer.py", line 554, in __call__
outputs = self.call(inputs, *args, **kwargs)
File "/home/hollowgalaxy/anaconda3/envs/py36/lib/python3.7/site-packages/tensorflow/python/keras/engine/network.py", line 815, in call
mask=masks)
File "/home/hollowgalaxy/anaconda3/envs/py36/lib/python3.7/site-packages/tensorflow/python/keras/engine/network.py", line 1002, in _run_internal_graph
output_tensors = layer.call(computed_tensor, **kwargs)
File "/home/hollowgalaxy/anaconda3/envs/py36/lib/python3.7/site-packages/tensorflow/python/keras/layers/convolutional.py", line 194, in call
outputs = self._convolution_op(inputs, self.kernel)
File "/home/hollowgalaxy/anaconda3/envs/py36/lib/python3.7/site-packages/tensorflow/python/ops/nn_ops.py", line 966, in __call__
return self.conv_op(inp, filter)
File "/home/hollowgalaxy/anaconda3/envs/py36/lib/python3.7/site-packages/tensorflow/python/ops/nn_ops.py", line 591, in __call__
return self.call(inp, filter)
File "/home/hollowgalaxy/anaconda3/envs/py36/lib/python3.7/site-packages/tensorflow/python/ops/nn_ops.py", line 208, in __call__
name=self.name)
File "/home/hollowgalaxy/anaconda3/envs/py36/lib/python3.7/site-packages/tensorflow/python/ops/gen_nn_ops.py", line 1026, in conv2d
data_format=data_format, dilations=dilations, name=name)
File "/home/hollowgalaxy/anaconda3/envs/py36/lib/python3.7/site-packages/tensorflow/python/framework/op_def_library.py", line 788, in _apply_op_helper
op_def=op_def)
File "/home/hollowgalaxy/anaconda3/envs/py36/lib/python3.7/site-packages/tensorflow/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "/home/hollowgalaxy/anaconda3/envs/py36/lib/python3.7/site-packages/tensorflow/python/framework/ops.py", line 3300, in create_op
op_def=op_def)
File "/home/hollowgalaxy/anaconda3/envs/py36/lib/python3.7/site-packages/tensorflow/python/framework/ops.py", line 1823, in __init__
control_input_ops)
File "/home/hollowgalaxy/anaconda3/envs/py36/lib/python3.7/site-packages/tensorflow/python/framework/ops.py", line 1662, in _create_c_op
raise ValueError(str(e))
ValueError: Shape must be rank 4 but is rank 5 for 'yolo_conv_1/conv2d_59/Conv2D' (op: 'Conv2D') with input shapes: [2,?,?,?,512], [1,1,512,256].corrected this line and shape issue went away. However this is a terrible duct tape solution, and I am not sure how best to report this for tensorflow team. Here is the code to fix it.
return Model(inputs, x, name=name)([x_in[0],x_in[1]] if isinstance(x_in, tuple) else x_in)*I haven't tested the full pipeline with this change as there are other issues with using tf 1.13 with tf 2 code
iamsaksham
commented
5 years ago @hollowgalaxy I faced the same issue on mac.
What was happening was that tensorflow-gpu==2.0.0a0 from the environment.yml was not getting installed as tensorflow-gpu is not supported in mac.
So as a result there was no tensorflow 2 installed. To fix this I replaced the tensorflow-gpu==2.0.0a0 with tensorflow==2.0.0alpha0
environment.yml
name: yolov3-tf2
channels:
- conda-forge
dependencies:
- python==3.6
- pip
- matplotlib
- pip:
- absl-py
- numpy
- opencv-python==4.0.0.21
- tensorflow==2.0.0alpha0
# - tensorflow-gpu==2.0.0a0
I just wanna try your Keras version model in TF1.12 and added two lines into 'yolov3_tf2/models.py'
Things go well in TF2.0, however, when I run it in TF1.12, the following error occurred:
However, the following error occurred:
I think it's because of the version of Tensorflow but I'm not sure which specific part caused this, does anybody knows?