From 1e137528a315347733186ba5bab787276a2d9041 Mon Sep 17 00:00:00 2001 From: "A. Unique TensorFlower" Date: Tue, 31 Jan 2017 11:35:16 -0800 Subject: Update generated Python Op docs. Change: 146144483 --- tensorflow/g3doc/api_docs/python/contrib.learn.md | 69 ++++++++++++++++++---- .../shard0/tf.contrib.learn.LinearRegressor.md | 4 +- .../shard1/tf.contrib.learn.LinearClassifier.md | 4 +- .../shard3/tf.contrib.learn.Estimator.md | 4 +- .../shard4/tf.contrib.learn.DNNClassifier.md | 4 +- ...tf.contrib.learn.DNNLinearCombinedClassifier.md | 4 +- .../shard4/tf.contrib.learn.ExportStrategy.md | 37 ++++++++++-- .../shard8/tf.contrib.learn.KMeansClustering.md | 4 +- .../tf.contrib.learn.DNNLinearCombinedRegressor.md | 4 +- .../shard9/tf.contrib.learn.DNNRegressor.md | 4 +- 10 files changed, 114 insertions(+), 24 deletions(-) diff --git a/tensorflow/g3doc/api_docs/python/contrib.learn.md b/tensorflow/g3doc/api_docs/python/contrib.learn.md index 19a5e983c5..ba2e9a3c45 100644 --- a/tensorflow/g3doc/api_docs/python/contrib.learn.md +++ b/tensorflow/g3doc/api_docs/python/contrib.learn.md @@ -485,7 +485,7 @@ The signature of the input_fn accepted by export is changing to be consistent wi - - - -#### `tf.contrib.learn.Estimator.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False)` {#Estimator.export_savedmodel} +#### `tf.contrib.learn.Estimator.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False, checkpoint_path=None)` {#Estimator.export_savedmodel} Exports inference graph as a SavedModel into given dir. @@ -506,6 +506,8 @@ Exports inference graph as a SavedModel into given dir. renaming it is specified as `{'my_asset_file.txt': '/path/to/my_asset_file.txt'}`. * `as_text`: whether to write the SavedModel proto in text format. +* `checkpoint_path`: The checkpoint path to export. If None (the default), + the most recent checkpoint found within the model directory is chosen. ##### Returns: @@ -980,7 +982,7 @@ The signature of the input_fn accepted by export is changing to be consistent wi - - - -#### `tf.contrib.learn.KMeansClustering.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False)` {#KMeansClustering.export_savedmodel} +#### `tf.contrib.learn.KMeansClustering.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False, checkpoint_path=None)` {#KMeansClustering.export_savedmodel} Exports inference graph as a SavedModel into given dir. @@ -1001,6 +1003,8 @@ Exports inference graph as a SavedModel into given dir. renaming it is specified as `{'my_asset_file.txt': '/path/to/my_asset_file.txt'}`. * `as_text`: whether to write the SavedModel proto in text format. +* `checkpoint_path`: The checkpoint path to export. If None (the default), + the most recent checkpoint found within the model directory is chosen. ##### Returns: @@ -1779,7 +1783,7 @@ See BaseEstimator.export. - - - -#### `tf.contrib.learn.DNNClassifier.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False)` {#DNNClassifier.export_savedmodel} +#### `tf.contrib.learn.DNNClassifier.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False, checkpoint_path=None)` {#DNNClassifier.export_savedmodel} Exports inference graph as a SavedModel into given dir. @@ -1800,6 +1804,8 @@ Exports inference graph as a SavedModel into given dir. renaming it is specified as `{'my_asset_file.txt': '/path/to/my_asset_file.txt'}`. * `as_text`: whether to write the SavedModel proto in text format. +* `checkpoint_path`: The checkpoint path to export. If None (the default), + the most recent checkpoint found within the model directory is chosen. ##### Returns: @@ -2215,7 +2221,7 @@ See BaseEstimator.export. - - - -#### `tf.contrib.learn.DNNRegressor.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False)` {#DNNRegressor.export_savedmodel} +#### `tf.contrib.learn.DNNRegressor.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False, checkpoint_path=None)` {#DNNRegressor.export_savedmodel} Exports inference graph as a SavedModel into given dir. @@ -2236,6 +2242,8 @@ Exports inference graph as a SavedModel into given dir. renaming it is specified as `{'my_asset_file.txt': '/path/to/my_asset_file.txt'}`. * `as_text`: whether to write the SavedModel proto in text format. +* `checkpoint_path`: The checkpoint path to export. If None (the default), + the most recent checkpoint found within the model directory is chosen. ##### Returns: @@ -2626,7 +2634,7 @@ See BaseEstimator.export. - - - -#### `tf.contrib.learn.DNNLinearCombinedRegressor.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False)` {#DNNLinearCombinedRegressor.export_savedmodel} +#### `tf.contrib.learn.DNNLinearCombinedRegressor.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False, checkpoint_path=None)` {#DNNLinearCombinedRegressor.export_savedmodel} Exports inference graph as a SavedModel into given dir. @@ -2647,6 +2655,8 @@ Exports inference graph as a SavedModel into given dir. renaming it is specified as `{'my_asset_file.txt': '/path/to/my_asset_file.txt'}`. * `as_text`: whether to write the SavedModel proto in text format. +* `checkpoint_path`: The checkpoint path to export. If None (the default), + the most recent checkpoint found within the model directory is chosen. ##### Returns: @@ -3071,7 +3081,7 @@ See BasEstimator.export. - - - -#### `tf.contrib.learn.DNNLinearCombinedClassifier.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False)` {#DNNLinearCombinedClassifier.export_savedmodel} +#### `tf.contrib.learn.DNNLinearCombinedClassifier.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False, checkpoint_path=None)` {#DNNLinearCombinedClassifier.export_savedmodel} Exports inference graph as a SavedModel into given dir. @@ -3092,6 +3102,8 @@ Exports inference graph as a SavedModel into given dir. renaming it is specified as `{'my_asset_file.txt': '/path/to/my_asset_file.txt'}`. * `as_text`: whether to write the SavedModel proto in text format. +* `checkpoint_path`: The checkpoint path to export. If None (the default), + the most recent checkpoint found within the model directory is chosen. ##### Returns: @@ -3552,7 +3564,7 @@ See BaseEstimator.export. - - - -#### `tf.contrib.learn.LinearClassifier.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False)` {#LinearClassifier.export_savedmodel} +#### `tf.contrib.learn.LinearClassifier.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False, checkpoint_path=None)` {#LinearClassifier.export_savedmodel} Exports inference graph as a SavedModel into given dir. @@ -3573,6 +3585,8 @@ Exports inference graph as a SavedModel into given dir. renaming it is specified as `{'my_asset_file.txt': '/path/to/my_asset_file.txt'}`. * `as_text`: whether to write the SavedModel proto in text format. +* `checkpoint_path`: The checkpoint path to export. If None (the default), + the most recent checkpoint found within the model directory is chosen. ##### Returns: @@ -3996,7 +4010,7 @@ See BaseEstimator.export. - - - -#### `tf.contrib.learn.LinearRegressor.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False)` {#LinearRegressor.export_savedmodel} +#### `tf.contrib.learn.LinearRegressor.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False, checkpoint_path=None)` {#LinearRegressor.export_savedmodel} Exports inference graph as a SavedModel into given dir. @@ -4017,6 +4031,8 @@ Exports inference graph as a SavedModel into given dir. renaming it is specified as `{'my_asset_file.txt': '/path/to/my_asset_file.txt'}`. * `as_text`: whether to write the SavedModel proto in text format. +* `checkpoint_path`: The checkpoint path to export. If None (the default), + the most recent checkpoint found within the model directory is chosen. ##### Returns: @@ -4562,9 +4578,18 @@ Typically constructed by a utility function specific to the exporter, such as The fields are: name: The directory name under the export base directory where exports of this type will be written. - export_fn: A function that writes an export, given an estimator and a - destination path. This may be run repeatedly during continuous training, - or just once at the end of fixed-length training. + export_fn: A function that writes an export, given an estimator, a + destination path, and optionally a checkpoint path and an evaluation + result for that checkpoint. This export_fn() may be run repeatedly during + continuous training, or just once at the end of fixed-length training. + Note the export_fn() may choose whether or not to export based on the eval + result or based on an internal timer or any other criterion, if exports + are not desired for every checkpoint. + + The signature of this function must be one of: + * (estimator, export_path) -> export_path` + * (estimator, export_path, checkpoint_path) -> export_path` + * (estimator, export_path, checkpoint_path, eval_result) -> export_path` - - - #### `tf.contrib.learn.ExportStrategy.__getnewargs__()` {#ExportStrategy.__getnewargs__} @@ -4595,9 +4620,29 @@ Return a nicely formatted representation string - - - -#### `tf.contrib.learn.ExportStrategy.export(estimator, export_path)` {#ExportStrategy.export} +#### `tf.contrib.learn.ExportStrategy.export(estimator, export_path, checkpoint_path=None, eval_result=None)` {#ExportStrategy.export} + +Exports the given Estimator to a specific format. + +##### Args: + + +* `estimator`: the Estimator to export. +* `export_path`: A string containing a directory where to write the export. +* `checkpoint_path`: The checkpoint path to export. If None (the default), + the strategy may locate a checkpoint (e.g. the most recent) by itself. +* `eval_result`: The output of Estimator.evaluate on this checkpoint. This + should be set only if checkpoint_path is provided (otherwise it is + unclear which checkpoint this eval refers to). + +##### Returns: + + The string path to the exported directory. + +##### Raises: +* `ValueError`: if the export_fn does not have the required signature - - - diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.contrib.learn.LinearRegressor.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.contrib.learn.LinearRegressor.md index 71ef857fd6..2f12a6f277 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.contrib.learn.LinearRegressor.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.contrib.learn.LinearRegressor.md @@ -139,7 +139,7 @@ See BaseEstimator.export. - - - -#### `tf.contrib.learn.LinearRegressor.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False)` {#LinearRegressor.export_savedmodel} +#### `tf.contrib.learn.LinearRegressor.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False, checkpoint_path=None)` {#LinearRegressor.export_savedmodel} Exports inference graph as a SavedModel into given dir. @@ -160,6 +160,8 @@ Exports inference graph as a SavedModel into given dir. renaming it is specified as `{'my_asset_file.txt': '/path/to/my_asset_file.txt'}`. * `as_text`: whether to write the SavedModel proto in text format. +* `checkpoint_path`: The checkpoint path to export. If None (the default), + the most recent checkpoint found within the model directory is chosen. ##### Returns: diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.contrib.learn.LinearClassifier.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.contrib.learn.LinearClassifier.md index c013c9ee9f..5b70ba0493 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.contrib.learn.LinearClassifier.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.contrib.learn.LinearClassifier.md @@ -165,7 +165,7 @@ See BaseEstimator.export. - - - -#### `tf.contrib.learn.LinearClassifier.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False)` {#LinearClassifier.export_savedmodel} +#### `tf.contrib.learn.LinearClassifier.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False, checkpoint_path=None)` {#LinearClassifier.export_savedmodel} Exports inference graph as a SavedModel into given dir. @@ -186,6 +186,8 @@ Exports inference graph as a SavedModel into given dir. renaming it is specified as `{'my_asset_file.txt': '/path/to/my_asset_file.txt'}`. * `as_text`: whether to write the SavedModel proto in text format. +* `checkpoint_path`: The checkpoint path to export. If None (the default), + the most recent checkpoint found within the model directory is chosen. ##### Returns: diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.contrib.learn.Estimator.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.contrib.learn.Estimator.md index 80290b7325..c564b6fcf8 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.contrib.learn.Estimator.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.contrib.learn.Estimator.md @@ -160,7 +160,7 @@ The signature of the input_fn accepted by export is changing to be consistent wi - - - -#### `tf.contrib.learn.Estimator.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False)` {#Estimator.export_savedmodel} +#### `tf.contrib.learn.Estimator.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False, checkpoint_path=None)` {#Estimator.export_savedmodel} Exports inference graph as a SavedModel into given dir. @@ -181,6 +181,8 @@ Exports inference graph as a SavedModel into given dir. renaming it is specified as `{'my_asset_file.txt': '/path/to/my_asset_file.txt'}`. * `as_text`: whether to write the SavedModel proto in text format. +* `checkpoint_path`: The checkpoint path to export. If None (the default), + the most recent checkpoint found within the model directory is chosen. ##### Returns: diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.learn.DNNClassifier.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.learn.DNNClassifier.md index ecbadc22dc..f58904ed71 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.learn.DNNClassifier.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.learn.DNNClassifier.md @@ -165,7 +165,7 @@ See BaseEstimator.export. - - - -#### `tf.contrib.learn.DNNClassifier.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False)` {#DNNClassifier.export_savedmodel} +#### `tf.contrib.learn.DNNClassifier.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False, checkpoint_path=None)` {#DNNClassifier.export_savedmodel} Exports inference graph as a SavedModel into given dir. @@ -186,6 +186,8 @@ Exports inference graph as a SavedModel into given dir. renaming it is specified as `{'my_asset_file.txt': '/path/to/my_asset_file.txt'}`. * `as_text`: whether to write the SavedModel proto in text format. +* `checkpoint_path`: The checkpoint path to export. If None (the default), + the most recent checkpoint found within the model directory is chosen. ##### Returns: diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.learn.DNNLinearCombinedClassifier.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.learn.DNNLinearCombinedClassifier.md index 0d08138333..0c82c24515 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.learn.DNNLinearCombinedClassifier.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.learn.DNNLinearCombinedClassifier.md @@ -180,7 +180,7 @@ See BasEstimator.export. - - - -#### `tf.contrib.learn.DNNLinearCombinedClassifier.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False)` {#DNNLinearCombinedClassifier.export_savedmodel} +#### `tf.contrib.learn.DNNLinearCombinedClassifier.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False, checkpoint_path=None)` {#DNNLinearCombinedClassifier.export_savedmodel} Exports inference graph as a SavedModel into given dir. @@ -201,6 +201,8 @@ Exports inference graph as a SavedModel into given dir. renaming it is specified as `{'my_asset_file.txt': '/path/to/my_asset_file.txt'}`. * `as_text`: whether to write the SavedModel proto in text format. +* `checkpoint_path`: The checkpoint path to export. If None (the default), + the most recent checkpoint found within the model directory is chosen. ##### Returns: diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.learn.ExportStrategy.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.learn.ExportStrategy.md index cac07c39d5..513bb777b2 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.learn.ExportStrategy.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.learn.ExportStrategy.md @@ -6,9 +6,18 @@ Typically constructed by a utility function specific to the exporter, such as The fields are: name: The directory name under the export base directory where exports of this type will be written. - export_fn: A function that writes an export, given an estimator and a - destination path. This may be run repeatedly during continuous training, - or just once at the end of fixed-length training. + export_fn: A function that writes an export, given an estimator, a + destination path, and optionally a checkpoint path and an evaluation + result for that checkpoint. This export_fn() may be run repeatedly during + continuous training, or just once at the end of fixed-length training. + Note the export_fn() may choose whether or not to export based on the eval + result or based on an internal timer or any other criterion, if exports + are not desired for every checkpoint. + + The signature of this function must be one of: + * (estimator, export_path) -> export_path` + * (estimator, export_path, checkpoint_path) -> export_path` + * (estimator, export_path, checkpoint_path, eval_result) -> export_path` - - - #### `tf.contrib.learn.ExportStrategy.__getnewargs__()` {#ExportStrategy.__getnewargs__} @@ -39,9 +48,29 @@ Return a nicely formatted representation string - - - -#### `tf.contrib.learn.ExportStrategy.export(estimator, export_path)` {#ExportStrategy.export} +#### `tf.contrib.learn.ExportStrategy.export(estimator, export_path, checkpoint_path=None, eval_result=None)` {#ExportStrategy.export} +Exports the given Estimator to a specific format. +##### Args: + + +* `estimator`: the Estimator to export. +* `export_path`: A string containing a directory where to write the export. +* `checkpoint_path`: The checkpoint path to export. If None (the default), + the strategy may locate a checkpoint (e.g. the most recent) by itself. +* `eval_result`: The output of Estimator.evaluate on this checkpoint. This + should be set only if checkpoint_path is provided (otherwise it is + unclear which checkpoint this eval refers to). + +##### Returns: + + The string path to the exported directory. + +##### Raises: + + +* `ValueError`: if the export_fn does not have the required signature - - - diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.contrib.learn.KMeansClustering.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.contrib.learn.KMeansClustering.md index 7c7f2ef2da..422ca984bf 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.contrib.learn.KMeansClustering.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.contrib.learn.KMeansClustering.md @@ -123,7 +123,7 @@ The signature of the input_fn accepted by export is changing to be consistent wi - - - -#### `tf.contrib.learn.KMeansClustering.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False)` {#KMeansClustering.export_savedmodel} +#### `tf.contrib.learn.KMeansClustering.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False, checkpoint_path=None)` {#KMeansClustering.export_savedmodel} Exports inference graph as a SavedModel into given dir. @@ -144,6 +144,8 @@ Exports inference graph as a SavedModel into given dir. renaming it is specified as `{'my_asset_file.txt': '/path/to/my_asset_file.txt'}`. * `as_text`: whether to write the SavedModel proto in text format. +* `checkpoint_path`: The checkpoint path to export. If None (the default), + the most recent checkpoint found within the model directory is chosen. ##### Returns: diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.contrib.learn.DNNLinearCombinedRegressor.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.contrib.learn.DNNLinearCombinedRegressor.md index a59196727c..dea9500a81 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.contrib.learn.DNNLinearCombinedRegressor.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.contrib.learn.DNNLinearCombinedRegressor.md @@ -146,7 +146,7 @@ See BaseEstimator.export. - - - -#### `tf.contrib.learn.DNNLinearCombinedRegressor.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False)` {#DNNLinearCombinedRegressor.export_savedmodel} +#### `tf.contrib.learn.DNNLinearCombinedRegressor.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False, checkpoint_path=None)` {#DNNLinearCombinedRegressor.export_savedmodel} Exports inference graph as a SavedModel into given dir. @@ -167,6 +167,8 @@ Exports inference graph as a SavedModel into given dir. renaming it is specified as `{'my_asset_file.txt': '/path/to/my_asset_file.txt'}`. * `as_text`: whether to write the SavedModel proto in text format. +* `checkpoint_path`: The checkpoint path to export. If None (the default), + the most recent checkpoint found within the model directory is chosen. ##### Returns: diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.contrib.learn.DNNRegressor.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.contrib.learn.DNNRegressor.md index 3dbea47a98..017234aa0c 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.contrib.learn.DNNRegressor.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.contrib.learn.DNNRegressor.md @@ -131,7 +131,7 @@ See BaseEstimator.export. - - - -#### `tf.contrib.learn.DNNRegressor.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False)` {#DNNRegressor.export_savedmodel} +#### `tf.contrib.learn.DNNRegressor.export_savedmodel(export_dir_base, serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False, checkpoint_path=None)` {#DNNRegressor.export_savedmodel} Exports inference graph as a SavedModel into given dir. @@ -152,6 +152,8 @@ Exports inference graph as a SavedModel into given dir. renaming it is specified as `{'my_asset_file.txt': '/path/to/my_asset_file.txt'}`. * `as_text`: whether to write the SavedModel proto in text format. +* `checkpoint_path`: The checkpoint path to export. If None (the default), + the most recent checkpoint found within the model directory is chosen. ##### Returns: -- cgit v1.2.3