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Graph execution error #19

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stevebanik opened this issue Jan 5, 2023 · 0 comments
Open

Graph execution error #19

stevebanik opened this issue Jan 5, 2023 · 0 comments

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@stevebanik
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python train_benchmark.py --type cnn --model resnet50

yields the following:

`2023-01-05 12:38:02.090126: W tensorflow/core/framework/op_kernel.cc:1830] OP_REQUIRES failed at xla_ops.cc:418 : NOT_FOUND: could not find registered platform with id: 0x1051fc880
2023-01-05 12:38:02.090152: W tensorflow/core/framework/op_kernel.cc:1830] OP_REQUIRES failed at xla_ops.cc:418 : NOT_FOUND: could not find registered platform with id: 0x1051fc880
2023-01-05 12:38:02.168153: W tensorflow/core/framework/op_kernel.cc:1830] OP_REQUIRES failed at xla_ops.cc:418 : NOT_FOUND: could not find registered platform with id: 0x1051fc880
2023-01-05 12:38:02.168185: W tensorflow/core/framework/op_kernel.cc:1830] OP_REQUIRES failed at xla_ops.cc:418 : NOT_FOUND: could not find registered platform with id: 0x1051fc880
2023-01-05 12:38:02.168205: W tensorflow/core/framework/op_kernel.cc:1830] OP_REQUIRES failed at xla_ops.cc:418 : NOT_FOUND: could not find registered platform with id: 0x1051fc880
2023-01-05 12:38:02.168225: W tensorflow/core/framework/op_kernel.cc:1830] OP_REQUIRES failed at xla_ops.cc:418 : NOT_FOUND: could not find registered platform with id: 0x1051fc880
Traceback (most recent call last):
File "/Users/mac.user/git/tf-metal-experiments/train_benchmark.py", line 45, in
_ = model.fit(x=dataset_x, y=dataset_y, batch_size=args.bs, epochs=1, verbose=1)
File "/Users/mac.user/Library/Python/3.9/lib/python/site-packages/keras/utils/traceback_utils.py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
File "/Users/mac.user/Library/Python/3.9/lib/python/site-packages/tensorflow/python/eager/execute.py", line 52, in quick_execute
tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
tensorflow.python.framework.errors_impl.NotFoundError: Graph execution error:

Detected at node 'StatefulPartitionedCall_212' defined at (most recent call last):
File "/Users/mac.user/git/tf-metal-experiments/train_benchmark.py", line 45, in
_ = model.fit(x=dataset_x, y=dataset_y, batch_size=args.bs, epochs=1, verbose=1)
File "/Users/mac.user/Library/Python/3.9/lib/python/site-packages/keras/utils/traceback_utils.py", line 65, in error_handler
return fn(*args, **kwargs)
File "/Users/mac.user/Library/Python/3.9/lib/python/site-packages/keras/engine/training.py", line 1650, in fit
tmp_logs = self.train_function(iterator)
File "/Users/mac.user/Library/Python/3.9/lib/python/site-packages/keras/engine/training.py", line 1249, in train_function
return step_function(self, iterator)
File "/Users/mac.user/Library/Python/3.9/lib/python/site-packages/keras/engine/training.py", line 1233, in step_function
outputs = model.distribute_strategy.run(run_step, args=(data,))
File "/Users/mac.user/Library/Python/3.9/lib/python/site-packages/keras/engine/training.py", line 1222, in run_step
outputs = model.train_step(data)
File "/Users/mac.user/Library/Python/3.9/lib/python/site-packages/keras/engine/training.py", line 1027, in train_step
self.optimizer.minimize(loss, self.trainable_variables, tape=tape)
File "/Users/mac.user/Library/Python/3.9/lib/python/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 527, in minimize
self.apply_gradients(grads_and_vars)
File "/Users/mac.user/Library/Python/3.9/lib/python/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 1140, in apply_gradients
return super().apply_gradients(grads_and_vars, name=name)
File "/Users/mac.user/Library/Python/3.9/lib/python/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 634, in apply_gradients
iteration = self._internal_apply_gradients(grads_and_vars)
File "/Users/mac.user/Library/Python/3.9/lib/python/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 1166, in _internal_apply_gradients
return tf.internal.distribute.interim.maybe_merge_call(
File "/Users/mac.user/Library/Python/3.9/lib/python/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 1216, in _distributed_apply_gradients_fn
distribution.extended.update(
File "/Users/mac.user/Library/Python/3.9/lib/python/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 1211, in apply_grad_to_update_var
return self._update_step_xla(grad, var, id(self._var_key(var)))
Node: 'StatefulPartitionedCall_212'
could not find registered platform with id: 0x1051fc880
[[{{node StatefulPartitionedCall_212}}]] [Op:__inference_train_function_16598]`

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