The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in a local environment to distributed training in the cloud.
Hello,I found a performance issue in src/python/tensorflow_cloud/core/tests/testdata/keras_tuner_cifar_example.py ,
train_dataset = train_dataset.map was called without num_parallel_calls.
I think it will increase the efficiency of your program if you add this.
Hello,I found a performance issue in
src/python/tensorflow_cloud/core/tests/testdata/keras_tuner_cifar_example.py, train_dataset = train_dataset.map was called without num_parallel_calls. I think it will increase the efficiency of your program if you add this.The same issues also exist in test_dataset = test_dataset.map
Here is the documemtation of tensorflow to support this thing.
Looking forward to your reply. Btw, I am very glad to create a PR to fix it if you are too busy.