Fix dependencies and import statements for predictor module.

PiperOrigin-RevId: 161203536

tensorflow/contrib/BUILD

@@ -51,6 +51,7 @@ py_library(
         "//tensorflow/contrib/ndlstm",
         "//tensorflow/contrib/nn:nn_py",
         "//tensorflow/contrib/opt:opt_py",
+        "//tensorflow/contrib/predictor",
         "//tensorflow/contrib/quantization:quantization_py",
         "//tensorflow/contrib/remote_fused_graph/pylib:remote_fused_graph_ops_py",
         "//tensorflow/contrib/resampler:resampler_py",

tensorflow/contrib/__init__.py

@@ -50,6 +50,7 @@ from tensorflow.contrib import metrics
 from tensorflow.contrib import nccl
 from tensorflow.contrib import nn
 from tensorflow.contrib import opt
+from tensorflow.contrib import predictor
 from tensorflow.contrib import quantization
 from tensorflow.contrib import resampler
 from tensorflow.contrib import rnn

tensorflow/contrib/predictor/BUILD

@@ -1,6 +1,6 @@
 # `Predictor` classes provide an interface for efficient, repeated inference.
 
-package(default_visibility = ["//third_party/tensroflow/contrib/predictor:__subpackages__"])
+package(default_visibility = ["//tensorflow/contrib/predictor:__subpackages__"])
 
 licenses(["notice"])  # Apache 2.0
 
@@ -62,7 +62,6 @@ py_library(
     srcs_version = "PY2AND3",
     deps = [
         ":base_predictor",
-        "//tensorflow/python/tools:saved_model_cli",
     ],
 )
 

tensorflow/contrib/predictor/__init__.py

@@ -19,6 +19,6 @@ from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function
 
-from tensorflow.contrib.predictor import from_contrib_estimator
-from tensorflow.contrib.predictor import from_estimator
-from tensorflow.contrib.predictor import from_saved_model
+from tensorflow.contrib.predictor.predictor_factories import from_contrib_estimator
+from tensorflow.contrib.predictor.predictor_factories import from_estimator
+from tensorflow.contrib.predictor.predictor_factories import from_saved_model

tensorflow/contrib/predictor/saved_model_predictor.py

@@ -22,12 +22,12 @@ from __future__ import print_function
 import logging
 
 from tensorflow.contrib.predictor import predictor
+from tensorflow.contrib.saved_model.python.saved_model import reader
 from tensorflow.contrib.saved_model.python.saved_model import signature_def_utils
 from tensorflow.python.client import session
 from tensorflow.python.framework import ops
 from tensorflow.python.saved_model import loader
 from tensorflow.python.saved_model import signature_constants
-from tensorflow.python.tools import saved_model_cli
 
 
 DEFAULT_TAGS = 'serve'
@@ -35,13 +35,37 @@ DEFAULT_TAGS = 'serve'
 _DEFAULT_INPUT_ALTERNATIVE_FORMAT = 'default_input_alternative:{}'
 
 
+def get_meta_graph_def(saved_model_dir, tags):
+  """Gets `MetaGraphDef` from a directory containing a `SavedModel`.
+
+  Returns the `MetaGraphDef` for the given tag-set and SavedModel directory.
+
+  Args:
+    saved_model_dir: Directory containing the SavedModel.
+    tags: Comma separated list of tags used to identify the correct
+      `MetaGraphDef`.
+
+  Raises:
+    ValueError: An error when the given tags cannot be found.
+
+  Returns:
+    A `MetaGraphDef` corresponding to the given tags.
+  """
+  saved_model = reader.read_saved_model(saved_model_dir)
+  set_of_tags = set([tag.strip() for tag in tags.split(',')])
+  for meta_graph_def in saved_model.meta_graphs:
+    if set(meta_graph_def.meta_info_def.tags) == set_of_tags:
+      return meta_graph_def
+  raise ValueError('Could not find MetaGraphDef with tags {}'.format(tags))
+
+
 def _get_signature_def(signature_def_key, export_dir, tags):
   """Construct a `SignatureDef` proto."""
   signature_def_key = (
       signature_def_key or
       signature_constants.DEFAULT_SERVING_SIGNATURE_DEF_KEY)
 
-  metagraph_def = saved_model_cli.get_meta_graph_def(export_dir, tags)
+  metagraph_def = get_meta_graph_def(export_dir, tags)
 
   try:
     signature_def = signature_def_utils.get_signature_def_by_key(
@@ -114,8 +138,8 @@ class SavedModelPredictor(predictor.Predictor):
       output_names: A dictionary mapping strings to `Tensor`s in the
         `SavedModel` that represent the output. The keys can be any string of
         the user's choosing.
-      tags: Optional. Tags that will be used to retrieve the correct
-        `SignatureDef`. Defaults to `DEFAULT_TAGS`.
+      tags: Optional. Comma separated list of tags that will be used to retrieve
+        the correct `SignatureDef`. Defaults to `DEFAULT_TAGS`.
       graph: Optional. The Tensorflow `graph` in which prediction should be
         done.
     Raises: