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| author |  A. Unique TensorFlower <gardener@tensorflow.org> | 2018-06-01 16:32:20 -0700 |
|---|---|---|
| committer | TensorFlower Gardener <gardener@tensorflow.org> | 2018-06-01 16:35:09 -0700 |
| commit | cd368924989284864e3df2fcbae72a3892bb7afb (patch) | |
| tree | 95e4ee75b1d93324c40d68d5ae6f346a92e8f1c0 | |
| parent | b31498a054d55ce328a2820fd403af764c482500 (diff) | |
Allow user to opt out of saving metagraph for TPU with TPUEstimator.export_output().
PiperOrigin-RevId: 198944144
| -rw-r--r-- | tensorflow/contrib/tpu/python/tpu/tpu_estimator.py | 18 |
1 files changed, 10 insertions, 8 deletions
diff --git a/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py b/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py index 4465833f88..a155de3844 100644 --- a/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py +++ b/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py @@ -1830,6 +1830,7 @@ class TPUEstimator(estimator_lib.Estimator): predict_batch_size=None, batch_axis=None, eval_on_tpu=True, + export_to_tpu=True, warm_start_from=None): """Constructs an `TPUEstimator` instance. @@ -1872,6 +1873,8 @@ class TPUEstimator(estimator_lib.Estimator): False or `PER_HOST_V2`, batch_axis is ignored. eval_on_tpu: If False, evaluation runs on CPU or GPU. In this case, the model_fn must return `EstimatorSpec` when called with `mode` as `EVAL`. + export_to_tpu: If True, `export_savedmodel()` exports a metagraph for + serving on TPU besides the one on CPU. warm_start_from: Optional string filepath to a checkpoint or SavedModel to warm-start from, or a `tf.estimator.WarmStartSettings` object to fully configure warm-starting. If the string @@ -1943,6 +1946,8 @@ class TPUEstimator(estimator_lib.Estimator): use_tpu, eval_on_tpu) + self._export_to_tpu = export_to_tpu + self._is_input_fn_invoked = None def _add_meta_graph_for_mode(self, @@ -1965,11 +1970,11 @@ class TPUEstimator(estimator_lib.Estimator): save_variables, mode=mode) - input_receiver_fn_map = {_REWRITE_FOR_INFERENCE_MODE: - input_receiver_fn_map[mode]} - export_tags = [tag_constants.SERVING, tag_constants.TPU] - mode = _REWRITE_FOR_INFERENCE_MODE - try: + if self._export_to_tpu: + input_receiver_fn_map = {_REWRITE_FOR_INFERENCE_MODE: + input_receiver_fn_map[mode]} + export_tags = [tag_constants.SERVING, tag_constants.TPU] + mode = _REWRITE_FOR_INFERENCE_MODE (super(TPUEstimator, self). _add_meta_graph_for_mode(builder, input_receiver_fn_map, @@ -1978,9 +1983,6 @@ class TPUEstimator(estimator_lib.Estimator): save_variables=False, mode=mode, export_tags=export_tags)) - except Exception as error: # pylint: disable=broad-except - logging.warning('Saving meta graph for TPU failed: {}.' - .format(str(error))) def _call_model_fn(self, features, labels, mode, config): if mode == _REWRITE_FOR_INFERENCE_MODE: |