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| author |  Mark Daoust <markdaoust@google.com> | 2018-09-28 11:12:42 -0700 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2018-09-28 11:21:49 -0700 |
| commit | 1a834d3aa84ba47afe39c22fffd60d03ca151d30 (patch) | |
| tree | eed1e3c7bab04b64c9e505ddf0ec82e69f80dc29 /tensorflow/contrib/tpu | |
| parent | d644fa0542a5a9995512674c7ac708468941fe28 (diff) | |
Remove @{} api_links and ban "@{}" from python and md files.
PiperOrigin-RevId: 214964988
Diffstat (limited to 'tensorflow/contrib/tpu')
| -rw-r--r-- | tensorflow/contrib/tpu/python/tpu/tpu_estimator.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py b/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py index 23c54511ca..764d85877a 100644 --- a/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py +++ b/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py @@ -231,7 +231,7 @@ class TPUEstimatorSpec(model_fn_lib._TPUEstimatorSpec): # pylint: disable=prote `metric_fn` runs on CPU to generate metrics and `tensors` represents the `Tensor`s transferred from TPU system to CPU host and passed to `metric_fn`. To be precise, TPU evaluation expects a slightly different signature from the - @{tf.estimator.Estimator}. While `EstimatorSpec.eval_metric_ops` expects a + `tf.estimator.Estimator`. While `EstimatorSpec.eval_metric_ops` expects a dict, `TPUEstimatorSpec.eval_metrics` is a tuple of `metric_fn` and `tensors`. The `tensors` could be a list of `Tensor`s or dict of names to `Tensor`s. The `tensors` usually specify the model logits, which are transferred back from @@ -254,7 +254,7 @@ class TPUEstimatorSpec(model_fn_lib._TPUEstimatorSpec): # pylint: disable=prote sending tensors from TPU to CPU. To reduce the overhead, try reducing the size of the tensors. The `tensors` are concatenated along their major (batch) dimension, and so must be >= rank 1. The `host_call` is useful for writing - summaries with @{tf.contrib.summary.create_file_writer}. + summaries with `tf.contrib.summary.create_file_writer`. """ def __new__(cls, |