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Why am I not able to train 1,859 75×75 RGB images on my M1 Pro 10-core CPU, 16-core GPU 16-core Neural Engine with 16 GB RAM?

I’ve followed the same steps provided by Apple (https://developer.apple.com/metal/tensorflow-plugin/) to install the deep learning development environment on TensorFlow (based on tensorflow-metal plugin) on my MacBook Pro. My model employs the VGG19 through transfer-learning as its summary can be seen below. While I train this model on 1,859 75×75 RGB images, getting the error tensorflow.python.framework.errors_impl.InternalError: Failed copying input tensor from /job:localhost/replica:0/task:0/device:CPU:0 to /job:localhost/replica:0/task:0/device:GPU:0 in order to run _EagerConst: Dst tensor is not initialized. Isn’t this task an easy one for such a powerful SoC like M1 Pro 10-core CPU, 16-core GPU 16-core Neural Engine with 16 GB RAM? What is the issue here? Is this a bug or do I need to do some configuration to overcome this situation?

Here is the stack trace:

Metal device set to: Apple M1 Pro

systemMemory: 16.00 GB

maxCacheSize: 5.33 GB

Model: “sequential”

_________________________________________________________________

Layer (type) Output Shape Param #

=================================================================

vgg19 (Functional) (None, 512) 20024384

_________________________________________________________________

flatten (Flatten) (None, 512) 0

_________________________________________________________________

dense (Dense) (None, 1859) 953667

=================================================================

Total params: 20,978,051

Trainable params: 953,667

Non-trainable params: 20,024,384

_________________________________________________________________

Traceback (most recent call last):

File “/Users/talhakabakus/PycharmProjects/keras-matlab-comp-metal/run.py”, line 528, in <module>

run_all_stanford_dogs()

File “/Users/talhakabakus/PycharmProjects/keras-matlab-comp-metal/run.py”, line 481, in run_all_stanford_dogs

H = model.fit(X_train, y_train_cat, validation_split=n_val_split, epochs=n_epochs,

File “/Users/talhakabakus/miniforge3/envs/keras-matlab-comp-metal/lib/python3.9/site-packages/keras/engine/training.py”, line 1134, in fit

data_handler = data_adapter.get_data_handler(

File “/Users/talhakabakus/miniforge3/envs/keras-matlab-comp-metal/lib/python3.9/site-packages/keras/engine/data_adapter.py”, line 1383, in get_data_handler

return DataHandler(*args, **kwargs)

File “/Users/talhakabakus/miniforge3/envs/keras-matlab-comp-metal/lib/python3.9/site-packages/keras/engine/data_adapter.py”, line 1138, in __init__

self._adapter = adapter_cls(

File “/Users/talhakabakus/miniforge3/envs/keras-matlab-comp-metal/lib/python3.9/site-packages/keras/engine/data_adapter.py”, line 230, in __init__

x, y, sample_weights = _process_tensorlike((x, y, sample_weights))

File “/Users/talhakabakus/miniforge3/envs/keras-matlab-comp-metal/lib/python3.9/site-packages/keras/engine/data_adapter.py”, line 1031, in _process_tensorlike

inputs = tf.nest.map_structure(_convert_numpy_and_scipy, inputs)

File “/Users/talhakabakus/miniforge3/envs/keras-matlab-comp-metal/lib/python3.9/site-packages/tensorflow/python/util/nest.py”, line 869, in map_structure

structure[0], [func(*x) for x in entries],

File “/Users/talhakabakus/miniforge3/envs/keras-matlab-comp-metal/lib/python3.9/site-packages/tensorflow/python/util/nest.py”, line 869, in <listcomp>

structure[0], [func(*x) for x in entries],

File “/Users/talhakabakus/miniforge3/envs/keras-matlab-comp-metal/lib/python3.9/site-packages/keras/engine/data_adapter.py”, line 1026, in _convert_numpy_and_scipy

return tf.convert_to_tensor(x, dtype=dtype)

File “/Users/talhakabakus/miniforge3/envs/keras-matlab-comp-metal/lib/python3.9/site-packages/tensorflow/python/util/dispatch.py”, line 206, in wrapper

return target(*args, **kwargs)

File “/Users/talhakabakus/miniforge3/envs/keras-matlab-comp-metal/lib/python3.9/site-packages/tensorflow/python/framework/ops.py”, line 1430, in convert_to_tensor_v2_with_dispatch

return convert_to_tensor_v2(

File “/Users/talhakabakus/miniforge3/envs/keras-matlab-comp-metal/lib/python3.9/site-packages/tensorflow/python/framework/ops.py”, line 1436, in convert_to_tensor_v2

return convert_to_tensor(

File “/Users/talhakabakus/miniforge3/envs/keras-matlab-comp-metal/lib/python3.9/site-packages/tensorflow/python/profiler/trace.py”, line 163, in wrapped

return func(*args, **kwargs)

File “/Users/talhakabakus/miniforge3/envs/keras-matlab-comp-metal/lib/python3.9/site-packages/tensorflow/python/framework/ops.py”, line 1566, in convert_to_tensor

ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)

File “/Users/talhakabakus/miniforge3/envs/keras-matlab-comp-metal/lib/python3.9/site-packages/tensorflow/python/framework/tensor_conversion_registry.py”, line 52, in _default_conversion_function

return constant_op.constant(value, dtype, name=name)

File “/Users/talhakabakus/miniforge3/envs/keras-matlab-comp-metal/lib/python3.9/site-packages/tensorflow/python/framework/constant_op.py”, line 271, in constant

return _constant_impl(value, dtype, shape, name, verify_shape=False,

File “/Users/talhakabakus/miniforge3/envs/keras-matlab-comp-metal/lib/python3.9/site-packages/tensorflow/python/framework/constant_op.py”, line 283, in _constant_impl

return _constant_eager_impl(ctx, value, dtype, shape, verify_shape)

File “/Users/talhakabakus/miniforge3/envs/keras-matlab-comp-metal/lib/python3.9/site-packages/tensorflow/python/framework/constant_op.py”, line 308, in _constant_eager_impl

t = convert_to_eager_tensor(value, ctx, dtype)

File “/Users/talhakabakus/miniforge3/envs/keras-matlab-comp-metal/lib/python3.9/site-packages/tensorflow/python/framework/constant_op.py”, line 106, in convert_to_eager_tensor

return ops.EagerTensor(value, ctx.device_name, dtype)

tensorflow.python.framework.errors_impl.InternalError: Failed copying input tensor from /job:localhost/replica:0/task:0/device:CPU:0 to /job:localhost/replica:0/task:0/device:GPU:0 in order to run _EagerConst: Dst tensor is not initialized.

Process finished with exit code 1

submitted by /u/talhak
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