From 838c47b173c733f770e2ac799f1bc1faa0a3128e Mon Sep 17 00:00:00 2001
From: "A. Unique TensorFlower" <nobody@tensorflow.org>
Date: Wed, 6 Apr 2016 15:02:45 -0800
Subject: Add SparseTensor.eval. Change: 119212533

---
 tensorflow/python/framework/ops.py      | 31 ++++++++++++++++++++++++++++++-
 tensorflow/python/framework/ops_test.py | 14 +++++++++++++-
 2 files changed, 43 insertions(+), 2 deletions(-)

diff --git a/tensorflow/python/framework/ops.py b/tensorflow/python/framework/ops.py
index f3b4455257..aee976c71e 100644
--- a/tensorflow/python/framework/ops.py
+++ b/tensorflow/python/framework/ops.py
@@ -38,8 +38,8 @@ from tensorflow.python.framework import dtypes
 from tensorflow.python.framework import registry
 from tensorflow.python.framework import tensor_shape
 from tensorflow.python.framework import versions
-from tensorflow.python.util import compat
 from tensorflow.python.platform import logging
+from tensorflow.python.util import compat
 
 
 def _convert_stack(stack):
@@ -955,6 +955,32 @@ class SparseTensor(object):
     return "SparseTensor(indices=%s, values=%s, shape=%s)" % (
         self._indices, self._values, self._shape)
 
+  def eval(self, feed_dict=None, session=None):
+    """Evaluates this sparse tensor in a `Session`.
+
+    Calling this method will execute all preceding operations that
+    produce the inputs needed for the operation that produces this
+    tensor.
+
+    *N.B.* Before invoking `SparseTensor.eval()`, its graph must have been
+    launched in a session, and either a default session must be
+    available, or `session` must be specified explicitly.
+
+    Args:
+      feed_dict: A dictionary that maps `Tensor` objects to feed values.
+        See [`Session.run()`](../../api_docs/python/client.md#Session.run) for a
+        description of the valid feed values.
+      session: (Optional.) The `Session` to be used to evaluate this sparse
+        tensor. If none, the default session will be used.
+
+    Returns:
+      A `SparseTensorValue` object.
+
+    """
+    indices, values, shape = _eval_using_default_session(
+        [self.indices, self.values, self.shape], feed_dict, self.graph, session)
+    return SparseTensorValue(indices, values, shape)
+
 
 SparseTensorValue = collections.namedtuple("SparseTensorValue",
                                            ["indices", "values", "shape"])
@@ -2025,6 +2051,9 @@ class Graph(object):
       grad_function_name: If not None, this specifies the name of a function
                           that shall be used as the gradient function of
                           the function being added.
+
+    Raises:
+      ValueError: if another function is defined with the same name.
     """
     previous_def = self._functions.get(function_def.signature.name, None)
     if previous_def:
diff --git a/tensorflow/python/framework/ops_test.py b/tensorflow/python/framework/ops_test.py
index 65e92872cf..0df619c16e 100644
--- a/tensorflow/python/framework/ops_test.py
+++ b/tensorflow/python/framework/ops_test.py
@@ -58,10 +58,22 @@ class TensorTest(test_util.TensorFlowTestCase):
 class SparseTensorTest(test_util.TensorFlowTestCase):
 
   def testPythonConstruction(self):
-    sp = ops.SparseTensor([[1, 2], [2, 0], [3, 4]], ["a", "b", "c"], [4, 5])
+    indices = [[1, 2], [2, 0], [3, 4]]
+    values = ["a", "b", "c"]
+    shape = [4, 5]
+    sp = ops.SparseTensor(indices, values, shape)
     self.assertEqual(sp.indices.dtype, dtypes.int64)
     self.assertEqual(sp.values.dtype, dtypes.string)
     self.assertEqual(sp.shape.dtype, dtypes.int64)
+    with self.test_session() as sess:
+      value = sp.eval()
+      self.assertAllEqual(indices, value.indices)
+      self.assertAllEqual(values, value.values)
+      self.assertAllEqual(shape, value.shape)
+      sess_run_value = sess.run(sp)
+      self.assertAllEqual(sess_run_value.indices, value.indices)
+      self.assertAllEqual(sess_run_value.values, value.values)
+      self.assertAllEqual(sess_run_value.shape, value.shape)
 
 
 class IndexedSlicesTest(test_util.TensorFlowTestCase):
-- 
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