cloud
cloud copied to clipboard
tensorflow
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've found a performance issue in /tests/testdata/keras_tuner_cifar_example.py: `batch()` should be called before `map()`, which could make your program more efficient. Here is [the tensorflow document](https://tensorflow.google.cn/guide/data_performance?hl=zh_cn#vectorized_mapping) to support it. Detailed...
I believe this error happened while Tensorflow was preparing itself to run the actual python file. As a temporary fix downgrading the pyparsing module from current (possibly the latest 3.0.0)...
Previous link is broken https://github.com/tensorflow/cloud/blob/master/src/python/tensorflow_cloud/tuner/README.md
Hello,[this issue](https://github.com/tensorflow/cloud/issues/369) shows the reason that I commit this PR. I sincerely wish my PR will help you.And if you think my PR has a little work,Hoping you could merge...
Add demo with mock task for experimental method run_experiment_cloud.
![copybara-service[bot] avatar](https://avatars.githubusercontent.com/in/44061?v=4 "copybara-service[bot] avatar"){kind=avatar}
Add demo with custom task and tfds for run_experiment_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](https://github.com/tensorflow/cloud/blob/ef005d77de1c0911384cfcf9d41076a77abe1385/src/python/tensorflow_cloud/core/tests/testdata/keras_tuner_cifar_example.py#L105) was called without **num_parallel_calls**. I think it will increase the efficiency of your program if you add this. The...
Add integration tests for run_experiment_cloud wrapper.
The lastest release notes of the [AI Platform Cloud TPU](https://cloud.google.com/ai-platform/training/docs/runtime-version-list#tpu-support) claim support for tensorflow 2.2 on TPU. Shouldn't this imply that tensorflow cloud can also support 2.2?
Metadata
Owner
Metadata
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.