t-kalinowski
commented
1 year ago Welcome!
I can't reproduce the error on Monterey (macOS 12.6), The beginner quickstart guide renders without error.
I'll update macOS and see if I can reproduce the issue.
I'm not sure if it's related, but there are a handful of TensorFlow operations that fail on M1 Macs with tensors that are placed on the GPU. The fix (until the appropriate M1 GPU kernel is available), is to pin the operation to the CPU.
e.g., from the "Apple Silicon" section in ?install_tensorflow():
Tensorflow on Apple Silicon is not officially supported by the Tensorflow maintainers. However Apple has published a custom version of Tensorflow compatible with Arm Macs.
install_tensorflow()will install the special packages tensorflow-macos and tensorflow-metal on Arm Macs. See https://developer.apple.com/metal/tensorflow-plugin/ for instructions on how to do the equivalent manually. Please note that this is an experimental build of both Python and Tensorflow, with known issues. In particular, certain operations will cause errors, but can often be remedied by pinning them to the CPU. For example:x <- array(runif(64*64), c(1, 64, 64)) keras::layer_random_rotation(x, .5) # Error: # No registered 'RngReadAndSkip' OpKernel for 'GPU' devices # Pin the operation to the CPU to avoid the error with(tf$device("CPU"), keras::layer_random_rotation(x, .5) ) # No Error
pedro-alonsod
Hi,
I am trying my hand at the beginner tutorial after successfully installing TensorFlow on Rstudio but trying the code I get the following error: Tuto - Beginner.
Error:
`Traceback (most recent call last): File "/Users/pedroalonso/opt/anaconda3/envs/thesis/lib/python3.10/site-packages/keras/utils/traceback_utils.py", line 70, in error_handler raise e.with_traceback(filtered_tb) from None File "/Users/pedroalonso/opt/anaconda3/envs/thesis/lib/python3.10/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_2' defined at (most recent call last): File "/Users/pedroalonso/opt/anaconda3/envs/thesis/lib/python3.10/site-packages/keras/utils/traceback_utils.py", line 65, in error_handler return fn(*args, **kwargs) File "/Users/pedroalonso/opt/anaconda3/envs/thesis/lib/python3.10/site-packages/keras/engine/training.py", line 1650, in fit tmp_logs = self.train_function(iterator) File "/Users/pedroalonso/opt/anaconda3/envs/thesis/lib/python3.10/site-packages/keras/engine/training.py", line 1249, in train_function return step_function(self, iterator) File "/Users/pedroalonso/opt/anaconda3/envs/thesis/lib/python3.10/site-packages/keras/engine/training.py", line 1233, in step_function outputs = model.distribute_strategy.run(run_step, args=(data,)) File "/Users/pedroalonso/opt/anaconda3/envs/thesis/lib/python3.10/site-packages/keras/engine/training.py", line 1222, in run_step outputs = model.train_step(data) File "/Users/pedroalonso/opt/anaconda3/envs/thesis/lib/python3.10/site-packages/keras/engine/training.py", line 1027, in train_step self.optimizer.minimize(loss, self.trainable_variables, tape=tape) File "/Users/pedroalonso/opt/anaconda3/envs/thesis/lib/python3.10/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 527, in minimize self.apply_gradients(grads_and_vars) File "/Users/pedroalonso/opt/anaconda3/envs/thesis/lib/python3.10/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 1140, in apply_gradients return super().apply_gradients(grads_and_vars, name=name) File "/Users/pedroalonso/opt/anaconda3/envs/thesis/lib/python3.10/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 634, in apply_gradients iteration = self._internal_apply_gradients(grads_and_vars) File "/Users/pedroalonso/opt/anaconda3/envs/thesis/lib/python3.10/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 1166, in _internal_apply_gradients return tf.internal.distribute.interim.maybe_merge_call( File "/Users/pedroalonso/opt/anaconda3/envs/thesis/lib/python3.10/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 1216, in _distributed_apply_gradients_fn distribution.extended.update( File "/Users/pedroalonso/opt/anaconda3/envs/thesis/lib/python3.10/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_2' could not find registered platform with id: 0x17f5d0f40 [[{{node StatefulPartitionedCall_2}}]] [Op:__inference_train_function_2604]`
Any help? Thanks.