Getting a Check failed: IsAligned() ptr on tensorflow-metal for the deepdream demo

Same for me when working with Tensorflow inside a separate class. When uninstalling Tensorflow-metal form my python environment it works again.

MacBook Pro M1 Pro (10/16) 16 GB Memory

Python 3.9.9 Tensorflow-metal 0.3.0

I have the same problem. Imac 2019, 8G ram.

SAME ISSUE HERE. MBP 16 2021 M1 MAX python          3.9.9 tensorflow-deps      2.7.0         tensorflow-estimator   2.7.0          tensorflow-macos     2.7.0          tensorflow-metal     0.3.0          

Hi @EduardoV and others,

Thanks for reporting this issue. We have reproduced this locally and are looking into it. I will update here once the solution is out.

The same issue with LSTM layers, but it correctly works with Dense layers even using GPU. MAC PRO 2019, 28-core Intel Xeon W, AMD Radeon Pro Vega II Duo 32

Same error messages while running code from Deep Learning with Python, listing 6.23. Dies in both Jupyter Lab and command line python at the model.fit() line.

M1 iMac, 16 GB, tensorflow-macos 2.7, metal plugin, Python 3.9.5.

model = Sequential()
model.add(Embedding(max_features, 32))
model.add(SimpleRNN(32))
model.add(Dense(1, activation='sigmoid'))

model.compile(optimizer='rmsprop', loss='binary_crossentropy', metrics=['acc'])
history = model.fit(input_train, y_train,
                    epochs=10,
                    batch_size=128,
                    validation_split=0.2)

I have the same issue but only if I try to add a LTCCell to my model.

model = Sequential()
model.add(RNN(ltc_cell, return_sequences=False, input_shape=(config.num_steps, config.input_size)))
model.add(Dense(128))
model.add(Dense(config.output_size))
model.compile(optimizer=optimizer, loss=loss_function, metrics=['Accuracy'])
model.build()
model.summary()
history = model.fit(train_X, train_y, batch_size=config.batch_size, epochs=config.init_epoch,
                    verbose=verbosity_mode)

When I delete the Metal plugin I can train my network but it would take forever. For a LTCCell with 64 inter_neurons and 32 motor_neurons the estimated time is 2 hours per Epoch. M1 MacBook Pro, 8 GB, tensorflow-macos 2.7, metal plugin 0.3.0, Python 3.9.

It seems to be working, I only ran a few trials though.