Apple M1

[g-autof]

How to fix? :(

Metal device set to: Apple M1

systemMemory: 16.00 GB
maxCacheSize: 5.33 GB

2022-11-20 01:54:17.446949: I tensorflow/core/common_runtime/pluggable_device/pluggable_device_factory.cc:305] Could not identify NUMA node of platform GPU ID 0, defaulting to 0. Your kernel may not have been built with NUMA support.

2022-11-20 01:54:17.447045: I tensorflow/core/common_runtime/pluggable_device/pluggable_device_factory.cc:271] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 0 MB memory) -> physical PluggableDevice (device: 0, name: METAL, pci bus id: )

Traceback (most recent call last):

File ~/SIUN/code/deblur.py", line 50, in
Tester(config).start()
File ~/SIUN/code/src/tester.py", line 13, in init
self.model = DDModel(config)
File ~/SIUN/code/src/model/model.py", line 15, in init
self.generator = self.build_generator((None,None,6),(None,None,3))
File ~/SIUN/code/src/model/model.py", line 88, in build_generator
if(self.load(self.config.resource.generator_json_path,self.config.resource.generator_weights_path)):
File ~/SIUN/code/src/model/model.py", line 120, in load
self.model = model_from_json(loaded_model_json,custom_objects={'tf':tf})
File ~/miniconda3/lib/python3.9/site-packages/keras/saving/model_config.py", line 104, in model_from_json
return deserialize(config, custom_objects=custom_objects)
File ~/miniconda3/lib/python3.9/site-packages/keras/layers/serialization.py", line 207, in deserialize
return generic_utils.deserialize_keras_object(
File ~/miniconda3/lib/python3.9/site-packages/keras/utils/generic_utils.py", line 679, in deserialize_keras_object
deserialized_obj = cls.from_config(
File ~/miniconda3/lib/python3.9/site-packages/keras/engine/training.py", line 2641, in from_config
functional.reconstruct_from_config(config, custom_objects))
File ~/miniconda3/lib/python3.9/site-packages/keras/engine/functional.py", line 1326, in reconstruct_from_config
process_layer(layer_data)
File ~/miniconda3/lib/python3.9/site-packages/keras/engine/functional.py", line 1308, in process_layer
layer = deserialize_layer(layer_data, custom_objects=custom_objects)
File ~/miniconda3/lib/python3.9/site-packages/keras/layers/serialization.py", line 207, in deserialize
return generic_utils.deserialize_keras_object(
File ~/miniconda3/lib/python3.9/site-packages/keras/utils/generic_utils.py", line 679, in deserialize_keras_object
deserialized_obj = cls.from_config(
File ~/miniconda3/lib/python3.9/site-packages/keras/layers/core/lambda_layer.py", line 303, in from_config
function = cls._parse_function_from_config(config, custom_objects,
File ~/miniconda3/lib/python3.9/site-packages/keras/layers/core/lambda_layer.py", line 358, in _parse_function_from_config
function = generic_utils.func_load(config[func_attr_name], globs=globs)
File ~/miniconda3/lib/python3.9/site-packages/keras/utils/generic_utils.py", line 793, in func_load
code = marshal.loads(raw_code)

ValueError: bad marshal data (unknown type code)

[abhijeet-dhumal]

same issue came up again !
Solved ?

[g-autof]

same issue came up again ! Solved ?

No, I "put the bolt" on this matter.....