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Keras model fails to load after conversion #26

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xsacha opened this issue Sep 7, 2021 · 0 comments · May be fixed by #27
Open

Keras model fails to load after conversion #26

xsacha opened this issue Sep 7, 2021 · 0 comments · May be fixed by #27

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@xsacha
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xsacha commented Sep 7, 2021 •
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It's a complicated model so I'm not sure where it all went wrong but judging by the 'merge', I assume it's in the op_add.

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/local/lib/python3.8/dist-packages/keras/saving/save.py", line 200, in load_model
    return hdf5_format.load_model_from_hdf5(filepath, custom_objects,
  File "/usr/local/lib/python3.8/dist-packages/keras/saving/hdf5_format.py", line 180, in load_model_from_hdf5
    model = model_config_lib.model_from_config(model_config,
  File "/usr/local/lib/python3.8/dist-packages/keras/saving/model_config.py", line 52, in model_from_config
    return deserialize(config, custom_objects=custom_objects)
  File "/usr/local/lib/python3.8/dist-packages/keras/layers/serialization.py", line 208, in deserialize
    return generic_utils.deserialize_keras_object(
  File "/usr/local/lib/python3.8/dist-packages/keras/utils/generic_utils.py", line 674, in deserialize_keras_object
    deserialized_obj = cls.from_config(
  File "/usr/local/lib/python3.8/dist-packages/keras/engine/functional.py", line 662, in from_config
    input_tensors, output_tensors, created_layers = reconstruct_from_config(
  File "/usr/local/lib/python3.8/dist-packages/keras/engine/functional.py", line 1283, in reconstruct_from_config
    process_node(layer, node_data)
  File "/usr/local/lib/python3.8/dist-packages/keras/engine/functional.py", line 1231, in process_node
    output_tensors = layer(input_tensors, **kwargs)
  File "/usr/local/lib/python3.8/dist-packages/keras/engine/base_layer.py", line 976, in __call__
    return self._functional_construction_call(inputs, args, kwargs,
  File "/usr/local/lib/python3.8/dist-packages/keras/engine/base_layer.py", line 1114, in _functional_construction_call
    outputs = self._keras_tensor_symbolic_call(
  File "/usr/local/lib/python3.8/dist-packages/keras/engine/base_layer.py", line 848, in _keras_tensor_symbolic_call
    return self._infer_output_signature(inputs, args, kwargs, input_masks)
  File "/usr/local/lib/python3.8/dist-packages/keras/engine/base_layer.py", line 886, in _infer_output_signature
    self._maybe_build(inputs)
  File "/usr/local/lib/python3.8/dist-packages/keras/engine/base_layer.py", line 2659, in _maybe_build
    self.build(input_shapes)  # pylint:disable=not-callable
  File "/usr/local/lib/python3.8/dist-packages/keras/utils/tf_utils.py", line 259, in wrapper
    output_shape = fn(instance, input_shape)
  File "/usr/local/lib/python3.8/dist-packages/keras/layers/merge.py", line 93, in build
    batch_sizes = {s[0] for s in input_shape if s} - {None}
  File "/usr/local/lib/python3.8/dist-packages/keras/layers/merge.py", line 93, in <setcomp>
    batch_sizes = {s[0] for s in input_shape if s} - {None}
TypeError: unhashable type: 'list'

I believe it may be because of the new code I added:

        if len(b.shape) == 0:
            return a, tf.broadcast_to(b, a.shape)

Without this code, I get:

  File "onnx2keras.py", line 68, in ensure_compatible_data_format
    return a, ensure_data_format(b, a.data_format)
  File "onnx2keras.py", line 31, in ensure_data_format
    assert len(tensor.shape) == 4
AssertionError
xsacha added a commit to xsacha/onnx-to-keras that referenced this issue Sep 7, 2021
@xsacha
Fix op_add with constant
26b3b08 
Fixes AxisCommunications#26
@xsacha xsacha linked a pull request Sep 7, 2021 that will close this issue
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Fix op_add with constant xsacha/onnx-to-keras
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@xsacha