TypeError: Placeholder#value must be a int, not '<class 'webdnn.graph.placeholder.Placeholder'>' #631

lygstate · 2017-11-28T14:28:33Z

Using TensorFlow backend.
Here To import all
[convert_keras.py] Generating feedforward graph
2017-11-28 22:22:25.563469: W C:\tf_jenkins\home\workspace\rel-win\M\windows\PY\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2017-11-28 22:22:25.563555: W C:\tf_jenkins\home\workspace\rel-win\M\windows\PY\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
Traceback (most recent call last):
  File "./webdnn/bin/convert_keras.py", line 117, in <module>
    main()
  File "./webdnn/bin/convert_keras.py", line 67, in main
    graph = converter.convert(model)
  File "E:\CI-Cor-Ready\ai\face-demo-work\webdnn\webdnn\src\graph_transpiler\webdnn\frontend\keras\converter.py", line 105, in convert
    return self._convert_fallback(model)
  File "E:\CI-Cor-Ready\ai\face-demo-work\webdnn\webdnn\src\graph_transpiler\webdnn\frontend\keras\converter.py", line 115, in _convert_fallback
    v.shape[0].value = self._batch_size
  File "E:\CI-Cor-Ready\ai\face-demo-work\webdnn\webdnn\src\graph_transpiler\webdnn\graph\placeholder.py", line 443, in value
    raise TypeError(f"Placeholder#value must be a int, not '{type(new_v)}'")
TypeError: Placeholder#value must be a int, not '<class 'webdnn.graph.placeholder.Placeholder'>'

The text was updated successfully, but these errors were encountered:

lygstate · 2017-11-28T14:40:22Z

    converter = KerasConverter(batch_size=Placeholder(label='N'))

The batch_size still to be un resolved. how to

Kiikurage · 2017-11-28T14:56:37Z

Sorry. I found that recent update broke convert_keras.py. I'll fix it soon.

lygstate · 2017-11-28T14:57:21Z

@Kiikurage, Thanks a lot, webdnn is a great project.

#631 fix placeholder duplication

Kiikurage · 2017-11-28T16:05:29Z

I've fixed the problem. Please retry with latest revision.

lygstate · 2017-11-28T16:59:14Z

@Kiikurage thanks, partially works, but new problem arised.
The resnet50 are comes from the example in README.md

E:\CI-Cor-Ready\ai\face-demo-work\webdnn>python ./webdnn/bin/convert_keras.py resnet50.h5 --input_shape "(1,224,224,3)" --out output --backend webgpu,webgl
Using TensorFlow backend.
Here To import all
[convert_keras.py] Generating feedforward graph
2017-11-29 00:57:12.210925: W C:\tf_jenkins\home\workspace\rel-win\M\windows\PY\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2017-11-29 00:57:12.211019: W C:\tf_jenkins\home\workspace\rel-win\M\windows\PY\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
Traceback (most recent call last):
  File "./webdnn/bin/convert_keras.py", line 117, in <module>
    main()
  File "./webdnn/bin/convert_keras.py", line 67, in main
    graph = converter.convert(model)
  File "E:\CI-Cor-Ready\ai\face-demo-work\webdnn\webdnn\src\graph_transpiler\webdnn\frontend\keras\converter.py", line 106, in convert
    return self._convert_fallback(model)
  File "E:\CI-Cor-Ready\ai\face-demo-work\webdnn\webdnn\src\graph_transpiler\webdnn\frontend\keras\converter.py", line 120, in _convert_fallback
    self._convert_operator(node.outbound_layer)
  File "E:\CI-Cor-Ready\ai\face-demo-work\webdnn\webdnn\src\graph_transpiler\webdnn\frontend\keras\converter.py", line 153, in _convert_operator
    return super(KerasConverter, self)._convert_operator(k_op)
  File "E:\CI-Cor-Ready\ai\face-demo-work\webdnn\webdnn\src\graph_transpiler\webdnn\frontend\converter.py", line 117, in _convert_operator
    self._handler_map[self.__class__.__name__][operator_key](self, operator)
  File "E:\CI-Cor-Ready\ai\face-demo-work\webdnn\webdnn\src\graph_transpiler\webdnn\frontend\keras\layers\convolutional.py", line 196, in _convert_zero_padding2d
    y, = ZeroPadding2D(None, (top, left))(x)
  File "E:\CI-Cor-Ready\ai\face-demo-work\webdnn\webdnn\src\graph_transpiler\webdnn\graph\operators\zero_padding_2d.py", line 39, in __call__
    return self.exec()
  File "E:\CI-Cor-Ready\ai\face-demo-work\webdnn\webdnn\src\graph_transpiler\webdnn\graph\operators\zero_padding_2d.py", line 45, in exec
    N = x_shape_dict[Axis.N]
  File "E:\CI-Cor-Ready\ai\face-demo-work\webdnn\webdnn\src\graph_transpiler\webdnn\graph\axis.py", line 109, in __getitem__
    index = self._keys.index(item)
ValueError: <Axis N> is not in list

lygstate · 2017-11-28T17:02:45Z

Also, the example are not works
E:\CI-Cor-Ready\ai\face-demo-work\webdnn\webdnn\example\resnet>python convert_resnet_keras.py Using TensorFlow backend. 2017-11-29 01:01:45.520258: W C:\tf_jenkins\home\workspace\rel-win\M\windows\PY\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations. 2017-11-29 01:01:45.520385: W C:\tf_jenkins\home\workspace\rel-win\M\windows\PY\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations. Traceback (most recent call last): File "convert_resnet_keras.py", line 37, in <module> main() File "convert_resnet_keras.py", line 27, in main _, graph = generate_graph() File "convert_resnet_keras.py", line 16, in generate_graph graph = KerasConverter(batch_size=1).convert(model) File "C:\Users\lygstate\AppData\Local\Programs\Python\Python36\lib\site-packages\webdnn-1.1.0-py3.6.egg\webdnn\frontend\keras\converter.py", line 106, in convert return self._convert_fallback(model) File "C:\Users\lygstate\AppData\Local\Programs\Python\Python36\lib\site-packages\webdnn-1.1.0-py3.6.egg\webdnn\frontend\keras\converter.py", line 120, in _convert_fallback self._convert_operator(node.outbound_layer) File "C:\Users\lygstate\AppData\Local\Programs\Python\Python36\lib\site-packages\webdnn-1.1.0-py3.6.egg\webdnn\frontend\keras\converter.py", line 153, in _convert_operator return super(KerasConverter, self)._convert_operator(k_op) File "C:\Users\lygstate\AppData\Local\Programs\Python\Python36\lib\site-packages\webdnn-1.1.0-py3.6.egg\webdnn\frontend\converter.py", line 117, in _convert_operator self._handler_map[self.__class__.__name__][operator_key](self, operator) File "C:\Users\lygstate\AppData\Local\Programs\Python\Python36\lib\site-packages\webdnn-1.1.0-py3.6.egg\webdnn\frontend\keras\layers\convolutional.py", line 196, in _convert_zero_padding2d y, = ZeroPadding2D(None, (top, left))(x) File "C:\Users\lygstate\AppData\Local\Programs\Python\Python36\lib\site-packages\webdnn-1.1.0-py3.6.egg\webdnn\graph\operators\zero_padding_2d.py", line 39, in __call__ return self.exec() File "C:\Users\lygstate\AppData\Local\Programs\Python\Python36\lib\site-packages\webdnn-1.1.0-py3.6.egg\webdnn\graph\operators\zero_padding_2d.py", line 45, in exec N = x_shape_dict[Axis.N] File "C:\Users\lygstate\AppData\Local\Programs\Python\Python36\lib\site-packages\webdnn-1.1.0-py3.6.egg\webdnn\graph\axis.py", line 109, in __getitem__ index = self._keys.index(item) ValueError: <Axis N> is not in list`

Kiikurage · 2017-11-28T17:05:44Z

Oh... sorry 😥. Because the last commit was quite small fix, i skipped the test. I'll fix it soon and check it works correctly.

lygstate · 2017-11-28T17:08:53Z

OK, this issue can be closed. I've verified.

Kiikurage self-assigned this Nov 28, 2017

Kiikurage added a commit that referenced this issue Nov 28, 2017

#631 fix placeholder duplication

22eab92

Kiikurage added a commit that referenced this issue Nov 28, 2017

Merge pull request #632 from mil-tokyo/dev-bin

abd516b

#631 fix placeholder duplication

Kiikurage mentioned this issue Nov 28, 2017

converter handler for keras's ZeroPadding2D must check data_format property #634

Closed

lygstate closed this as completed Nov 28, 2017

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TypeError: Placeholder#value must be a int, not '<class 'webdnn.graph.placeholder.Placeholder'>' #631

TypeError: Placeholder#value must be a int, not '<class 'webdnn.graph.placeholder.Placeholder'>' #631

lygstate commented Nov 28, 2017 •

edited

lygstate commented Nov 28, 2017

Kiikurage commented Nov 28, 2017

lygstate commented Nov 28, 2017

Kiikurage commented Nov 28, 2017

lygstate commented Nov 28, 2017

lygstate commented Nov 28, 2017

Kiikurage commented Nov 28, 2017 •

edited

lygstate commented Nov 28, 2017 •

edited

TypeError: Placeholder#value must be a int, not '<class 'webdnn.graph.placeholder.Placeholder'>' #631

TypeError: Placeholder#value must be a int, not '<class 'webdnn.graph.placeholder.Placeholder'>' #631

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lygstate commented Nov 28, 2017 • edited

lygstate commented Nov 28, 2017

Kiikurage commented Nov 28, 2017

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Kiikurage commented Nov 28, 2017 • edited

lygstate commented Nov 28, 2017 • edited

lygstate commented Nov 28, 2017 •

edited

Kiikurage commented Nov 28, 2017 •

edited

lygstate commented Nov 28, 2017 •

edited