gadagashwini

Hi @charliermarsh, Looks like issue is resolved with stable version Tensorflow 2.9 ``` >>> import tensorflow >>> def f(): ... strategy = tensorflow.distribute.MirroredStrategy() ... with strategy.scope(): ... tensorflow.keras.layers.Conv2D(64, (3, 3),...

Hi @ZJaume, Could you share the system configuration, I am not able to replicate the issue. Thank you!

Hi @kratsg, I tried on Ubuntu with Tensorflow 2.9.1. Looks like `tf.debugging.set_log_device_placement(True) ` working as expected. Please see the below log and confirm the issue. ``` >>> import tensorflow as...

Hi @mdtalibahmad, Can you try with CUDA 11.4 version. I am unable to replicate the issue on our environment. Thank you!

Hi @jordisoler, As per the description mentioned [here](https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/ModelCheckpoint?version=nightly), `tf.keras.callbacks.ModelCheckpoint` accepts hdf5 file format. filepath | string or PathLike, path to save the model file. e.g. filepath = os.path.join(working_dir, 'ckpt', file_name). ...

Hi @Twansklaf, Looks like one of your input is list, can you convert it numpy array and try. Thank you!

Hi @frigeriomtt, Looks like `tf.keras.utils.split_dataset`, working as expected. I tried with sample set of images. Please find the [gist](https://colab.research.google.com/drive/1JHht6jCf6P-CZXxQZg_SH8nJi7QiY75_?usp=sharing). Thank you!

Hi @Suzan009, You can add extra dimension to your y_true value. ``` y_true = np.array([1, 2]) y_true = np.expand_dims(y_true, axis=-1) y_pred = np.array([[0.05, 0.95, 0], [0.1, 0.8, 0.1]]) categorical_crossentropy(y_true, y_pred)...

@Suzan009, Did you a get chance to look into the issue. Thank you!

Hi @sebastian-sz, It would be great if you raise PR in this repo. Thank you!