| # Copyright 2020 The TensorFlow Authors. All Rights Reserved. |
| # |
| # Licensed under the Apache License, Version 2.0 (the "License"); |
| # you may not use this file except in compliance with the License. |
| # You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| # ====================================== |
| """Helper functions for TPU device names.""" |
| |
| from typing import Text |
| from tensorflow.python.util.tf_export import tf_export |
| |
| |
| @tf_export(v1=["tpu.core"]) |
| def core(num: int) -> Text: |
| """Returns the device name for a core in a replicated TPU computation. |
| |
| Args: |
| num: the virtual core number within each replica to which operators should |
| be assigned. |
| Returns: |
| A device name, suitable for passing to `tf.device()`. |
| """ |
| return "device:TPU_REPLICATED_CORE:{}".format(num) |