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RELEASE.md
`_tpu_estimator_embedding.py`. This allows embedding lookup statistics gathered at runtime to be used in embedding layer partitioning decisions. * PluggableDevice * Third-party devices can now connect to TensorFlow as plug-ins through [StreamExecutor C API](https://github.com/tensorflow/community/blob/master/rfcs/20200612-stream-executor-c-api.md). and
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.bazelrc
# dynamic_kernels: Try to link all kernels dynamically (experimental). # dbg: Build with debug info # # TF version options; # v2: Build TF v2 # # Feature and Third party library support options: # xla: Build TF with XLA # tpu: Build TF with TPU support # cuda: Build with CUDA support. # cuda_clang Build with CUDA Clang support.
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