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I'm getting
2024-09-22 12:27:06.399885: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 2024-09-22 12:27:07.642666: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT Traceback (most recent call last): File "/home/admin/pvenv/lib/python3.11/site-packages/keras/src/ops/operation.py", line 234, in from_config return cls(**config) ^^^^^^^^^^^^^ File "/home/admin/pvenv/lib/python3.11/site-packages/keras/src/layers/convolutional/separable_conv2d.py", line 122, in __init__ super().__init__( File "/home/admin/pvenv/lib/python3.11/site-packages/keras/src/layers/convolutional/base_separable_conv.py", line 104, in __init__ super().__init__( File "/home/admin/pvenv/lib/python3.11/site-packages/keras/src/layers/layer.py", line 285, in __init__ raise ValueError( ValueError: Unrecognized keyword arguments passed to SeparableConv2D: {'groups': 1, 'kernel_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': None}}, 'kernel_regularizer': None, 'kernel_constraint': None} During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/home/admin/nlm-numbers-model/nlm_classifier_infer.py", line 24, in <module> MODEL = keras.models.load_model(model_file) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/admin/pvenv/lib/python3.11/site-packages/keras/src/saving/saving_api.py", line 194, in load_model return legacy_h5_format.load_model_from_hdf5( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/admin/pvenv/lib/python3.11/site-packages/keras/src/legacy/saving/legacy_h5_format.py", line 133, in load_model_from_hdf5 model = saving_utils.model_from_config( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/admin/pvenv/lib/python3.11/site-packages/keras/src/legacy/saving/saving_utils.py", line 85, in model_from_config return serialization.deserialize_keras_object( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/admin/pvenv/lib/python3.11/site-packages/keras/src/legacy/saving/serialization.py", line 495, in deserialize_keras_object deserialized_obj = cls.from_config( ^^^^^^^^^^^^^^^^ File "/home/admin/pvenv/lib/python3.11/site-packages/keras/src/models/model.py", line 525, in from_config return functional_from_config( ^^^^^^^^^^^^^^^^^^^^^^^ File "/home/admin/pvenv/lib/python3.11/site-packages/keras/src/models/functional.py", line 477, in functional_from_config process_layer(layer_data) File "/home/admin/pvenv/lib/python3.11/site-packages/keras/src/models/functional.py", line 457, in process_layer layer = saving_utils.model_from_config( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/admin/pvenv/lib/python3.11/site-packages/keras/src/legacy/saving/saving_utils.py", line 85, in model_from_config return serialization.deserialize_keras_object( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/admin/pvenv/lib/python3.11/site-packages/keras/src/legacy/saving/serialization.py", line 504, in deserialize_keras_object deserialized_obj = cls.from_config(cls_config) ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/admin/pvenv/lib/python3.11/site-packages/keras/src/ops/operation.py", line 236, in from_config raise TypeError( TypeError: Error when deserializing class 'SeparableConv2D' using config={'name': 'separable_conv2d', 'trainable': True, 'dtype': 'float32', 'filters': 256, 'kernel_size': [3, 3], 'strides': [1, 1], 'padding': 'same', 'data_format': 'channels_last', 'dilation_rate': [1, 1], 'groups': 1, 'activation': 'linear', 'use_bias': True, 'kernel_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': None}}, 'bias_initializer': {'class_name': 'Zeros', 'config': {}, 'shared_object_id': 14}, 'kernel_regularizer': None, 'bias_regularizer': None, 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None, 'depth_multiplier': 1, 'depthwise_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': None}}, 'pointwise_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': None}}, 'depthwise_regularizer': None, 'pointwise_regularizer': None, 'depthwise_constraint': None, 'pointwise_constraint': None}. Exception encountered: Unrecognized keyword arguments passed to SeparableConv2D: {'groups': 1, 'kernel_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': None}}, 'kernel_regularizer': None, 'kernel_constraint': None}
with tensorflow 2.17.0 / keras 3.5.0
The text was updated successfully, but these errors were encountered:
works with Tensorflow 2.13.0 / keras 2.13.1
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I'm getting
with tensorflow 2.17.0 / keras 3.5.0
The text was updated successfully, but these errors were encountered: