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russoale / hmr2.0

End-to-end Recovery of Human Shape and Pose with tensorflow 2.0
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Why is it happen? #17

Closed 10010Naoteng closed 2 years ago

10010Naoteng commented 2 years ago

building model...

Traceback (most recent call last): File "demo.py", line 53, in model = Model() File "D:\MyPcSoftware\ProgramDesign\Anaconda\Program\DRL\imitation_action\hmr2.0-master\src\main\model.py", line 65, in init self._build_model() File "D:\MyPcSoftware\ProgramDesign\Anaconda\Program\DRL\imitation_action\hmr2.0-master\src\main\model.py", line 78, in _build_model self.generator.build(input_shape=gen_input) File "D:\MyPcSoftware\ProgramDesign\Anaconda\data\envs\imitating\lib\site-packages\keras\engine\training.py", line 440, in build self.call(x, kwargs) File "D:\MyPcSoftware\ProgramDesign\Anaconda\Program\DRL\imitation_action\hmr2.0-master\src\main\generator.py", line 91, in call features = self.resnet50V2(inputs, kwargs) File "D:\MyPcSoftware\ProgramDesign\Anaconda\data\envs\imitating\lib\site-packages\keras\utils\traceback_utils.py", line 67, in error_handler raise e.with_traceback(filtered_tb) from None File "D:\MyPcSoftware\ProgramDesign\Anaconda\data\envs\imitating\lib\site-packages\tensorflow\python\framework\ops.py", line 1939, in _create_c_op raise ValueError(e.message) ValueError: Exception encountered when calling layer "conv2_block1_out" (type Add).

Dimensions must be equal, but are 59 and 61 for '{{node resnet50v2/conv2_block1_out/add}} = AddV2[T=DT_FLOAT](resnet50v2/conv2_block1_0_conv/BiasAdd, resnet50v2/conv2_block1_3_conv/BiasAdd)' with input shapes: [1,59,59,256], [1,61,61,256].

Call arguments received: • inputs=['tf.Tensor(shape=(1, 59, 59, 256), dtype=float32)', 'tf.Tensor(shape=(1, 61, 61, 256), dtype=float32)']

eyoonWehealed commented 2 years ago

I have the same issue.

russoale commented 2 years ago

Could you share your TF version? haven't tested with the latests versions. Might be that the resnet50V2 has changed in behaviour

donening commented 2 years ago

My TF version is 2.8.0 and I have this issue too.

xiaoqiangsheng2016 commented 2 years ago

I was change TF version to 2.6.0, get the error: ValueError: Dimension 1 in both shapes must be equal, but are 112 and 115. Shapes are [1,112,112,64] and [1,115,115,64]. cause by resnet50V2

xiaoqiangsheng2016 commented 2 years ago

I was change TF version to 2.4.0, It works.