I encountered an error while executing the code on the site below.
keras-io/image_captioning.py at master · keras-team/keras-io · GitHub
And i am using tensorflow version 2.6 (tensorflow-metal PluggableDevice) in m1 mac.
I can’t find a history of the same issue in m1 mac, so I leave an inquiry. Please help me.
I executed the code below.
# Fit the model
caption_model.fit(
train_dataset,
epochs=EPOCHS,
validation_data=valid_dataset,
callbacks=[early_stopping],
)
The error below occurs.
---------------------------------------------------------------------------
InvalidArgumentError Traceback (most recent call last)
/var/folders/bs/5zylmdxn5pg233sn6f3tkj0w0000gn/T/ipykernel_4580/3281984782.py in <module>
36
37 # Fit the model
---> 38 caption_model.fit(
39 train_dataset,
40 epochs=EPOCHS,
~/miniforge3/envs/image_captioning_tf26/lib/python3.9/site-packages/keras/engine/training.py in fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_batch_size, validation_freq, max_queue_size, workers, use_multiprocessing)
1182 _r=1):
1183 callbacks.on_train_batch_begin(step)
-> 1184 tmp_logs = self.train_function(iterator)
1185 if data_handler.should_sync:
1186 context.async_wait()
~/miniforge3/envs/image_captioning_tf26/lib/python3.9/site-packages/tensorflow/python/eager/def_function.py in __call__(self, *args, **kwds)
883
884 with OptionalXlaContext(self._jit_compile):
--> 885 result = self._call(*args, **kwds)
886
887 new_tracing_count = self.experimental_get_tracing_count()
~/miniforge3/envs/image_captioning_tf26/lib/python3.9/site-packages/tensorflow/python/eager/def_function.py in _call(self, *args, **kwds)
948 # Lifting succeeded, so variables are initialized and we can run the
949 # stateless function.
--> 950 return self._stateless_fn(*args, **kwds)
951 else:
952 _, _, _, filtered_flat_args = \
~/miniforge3/envs/image_captioning_tf26/lib/python3.9/site-packages/tensorflow/python/eager/function.py in __call__(self, *args, **kwargs)
3037 (graph_function,
3038 filtered_flat_args) = self._maybe_define_function(args, kwargs)
-> 3039 return graph_function._call_flat(
3040 filtered_flat_args, captured_inputs=graph_function.captured_inputs) # pylint: disable=protected-access
3041
~/miniforge3/envs/image_captioning_tf26/lib/python3.9/site-packages/tensorflow/python/eager/function.py in _call_flat(self, args, captured_inputs, cancellation_manager)
1961 and executing_eagerly):
1962 # No tape is watching; skip to running the function.
-> 1963 return self._build_call_outputs(self._inference_function.call(
1964 ctx, args, cancellation_manager=cancellation_manager))
1965 forward_backward = self._select_forward_and_backward_functions(
~/miniforge3/envs/image_captioning_tf26/lib/python3.9/site-packages/tensorflow/python/eager/function.py in call(self, ctx, args, cancellation_manager)
589 with _InterpolateFunctionError(self):
590 if cancellation_manager is None:
--> 591 outputs = execute.execute(
592 str(self.signature.name),
593 num_outputs=self._num_outputs,
~/miniforge3/envs/image_captioning_tf26/lib/python3.9/site-packages/tensorflow/python/eager/execute.py in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name)
57 try:
58 ctx.ensure_initialized()
---> 59 tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
60 inputs, attrs, num_outputs)
61 except core._NotOkStatusException as e:
InvalidArgumentError: Cannot assign a device for operation sequential/random_flip/stateful_uniform_full_int/RngReadAndSkip: Could not satisfy explicit device specification '' because the node {{colocation_node sequential/random_flip/stateful_uniform_full_int/RngReadAndSkip}} was colocated with a group of nodes that required incompatible device '/job:localhost/replica:0/task:0/device:GPU:0'. All available devices [/job:localhost/replica:0/task:0/device:CPU:0, /job:localhost/replica:0/task:0/device:GPU:0].
Colocation Debug Info:
Colocation group had the following types and supported devices:
Root Member(assigned_device_name_index_=2 requested_device_name_='/job:localhost/replica:0/task:0/device:GPU:0' assigned_device_name_='/job:localhost/replica:0/task:0/device:GPU:0' resource_device_name_='/job:localhost/replica:0/task:0/device:GPU:0' supported_device_types_=[CPU] possible_devices_=[]
RngReadAndSkip: CPU
_Arg: GPU CPU
Colocation members, user-requested devices, and framework assigned devices, if any:
sequential_random_flip_stateful_uniform_full_int_rngreadandskip_resource (_Arg) framework assigned device=/job:localhost/replica:0/task:0/device:GPU:0
sequential/random_flip/stateful_uniform_full_int/RngReadAndSkip (RngReadAndSkip)
[[{{node sequential/random_flip/stateful_uniform_full_int/RngReadAndSkip}}]] [Op:__inference_train_function_98057]