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View Code? Open in Web Editor NEWConvert TF2.2 saved pb model directly to TF1.13 and TF1.15 for inferencing
Convert TF2.2 saved pb model directly to TF1.13 and TF1.15 for inferencing
Hi,
因想轉換以下這個tensorflow mode為1.15使用,
https://tfhub.dev/google/movenet/singlepose/lightning/4
但用你的tf22_saved_model_to_tf115_pb.py出現以下錯誤。
Traceback (most recent call last):
File "convert.py", line 17, in
model = tf.keras.models.load_model(model_path)
File "/home/lion/.local/lib/python3.8/site-packages/tensorflow/python/keras/saving/save.py", line 190, in load_model
return saved_model_load.load(filepath, compile)
File "/home/lion/.local/lib/python3.8/site-packages/tensorflow/python/keras/saving/saved_model/load.py", line 116, in load
model = tf_load.load_internal(path, loader_cls=KerasObjectLoader)
File "/home/lion/.local/lib/python3.8/site-packages/tensorflow/python/saved_model/load.py", line 602, in load_internal
loader = loader_cls(object_graph_proto,
File "/home/lion/.local/lib/python3.8/site-packages/tensorflow/python/keras/saving/saved_model/load.py", line 188, in init
super(KerasObjectLoader, self).init(*args, **kwargs)
File "/home/lion/.local/lib/python3.8/site-packages/tensorflow/python/saved_model/load.py", line 123, in init
self._load_all()
File "/home/lion/.local/lib/python3.8/site-packages/tensorflow/python/keras/saving/saved_model/load.py", line 209, in _load_all
self._layer_nodes = self._load_layers()
File "/home/lion/.local/lib/python3.8/site-packages/tensorflow/python/keras/saving/saved_model/load.py", line 309, in _load_layers
layers[node_id] = self._load_layer(proto.user_object, node_id)
File "/home/lion/.local/lib/python3.8/site-packages/tensorflow/python/keras/saving/saved_model/load.py", line 335, in _load_layer
obj, setter = self._revive_from_config(proto.identifier, metadata, node_id)
File "/home/lion/.local/lib/python3.8/site-packages/tensorflow/python/keras/saving/saved_model/load.py", line 353, in _revive_from_config
self._revive_layer_from_config(metadata, node_id))
File "/home/lion/.local/lib/python3.8/site-packages/tensorflow/python/keras/saving/saved_model/load.py", line 407, in _revive_layer_from_config
obj = layers_module.deserialize(
File "/home/lion/.local/lib/python3.8/site-packages/tensorflow/python/keras/layers/serialization.py", line 105, in deserialize
return deserialize_keras_object(
File "/home/lion/.local/lib/python3.8/site-packages/tensorflow/python/keras/utils/generic_utils.py", line 375, in deserialize_keras_object
return cls.from_config(cls_config)
File "/home/lion/.local/lib/python3.8/site-packages/tensorflow/python/keras/engine/base_layer.py", line 655, in from_config
return cls(**config)
File "/home/lion/.local/lib/python3.8/site-packages/tensorflow/python/keras/layers/convolutional.py", line 1985, in init
super(DepthwiseConv2D, self).init(
File "/home/lion/.local/lib/python3.8/site-packages/tensorflow/python/keras/layers/convolutional.py", line 582, in init
super(Conv2D, self).init(
File "/home/lion/.local/lib/python3.8/site-packages/tensorflow/python/keras/layers/convolutional.py", line 121, in init
super(Conv, self).init(
File "/home/lion/.local/lib/python3.8/site-packages/tensorflow/python/training/tracking/base.py", line 456, in _method_wrapper
result = method(self, *args, **kwargs)
File "/home/lion/.local/lib/python3.8/site-packages/tensorflow/python/keras/engine/base_layer.py", line 294, in init
generic_utils.validate_kwargs(kwargs, allowed_kwargs)
File "/home/lion/.local/lib/python3.8/site-packages/tensorflow/python/keras/utils/generic_utils.py", line 792, in validate_kwargs
raise TypeError(error_message, kwarg)
TypeError: ('Keyword argument not understood:', 'groups')
請教該如何解決?
或是可以提供你使用的環境?或是不能直接這樣用?
我使用的指令是python3.8 tf22_saved_model_to_tf115_pb.py
PS. tensorflow 2.2 keras 2.4.3
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