From 5bba158bbeea684c3e87de28a61004dbef28e00d Mon Sep 17 00:00:00 2001
From: Akshay Agrawal <akshayka@google.com>
Date: Mon, 9 Oct 2017 10:07:05 -0700
Subject: Print numpy value for variables when in Eager mode

PiperOrigin-RevId: 171549468
---
 tensorflow/python/framework/ops.py               | 24 +++++++++++++-----------
 tensorflow/python/kernel_tests/variables_test.py |  2 +-
 tensorflow/python/ops/variables.py               | 10 +++++++---
 3 files changed, 21 insertions(+), 15 deletions(-)

diff --git a/tensorflow/python/framework/ops.py b/tensorflow/python/framework/ops.py
index e6e6b9c6ca..0257f094d7 100644
--- a/tensorflow/python/framework/ops.py
+++ b/tensorflow/python/framework/ops.py
@@ -174,6 +174,17 @@ def uid():
   return c_api.TFE_Py_UID()
 
 
+def numpy_text(tensor, is_repr=False):
+  """Human readable representation of a tensor's numpy value."""
+  if tensor.dtype.is_numpy_compatible:
+    text = repr(tensor.numpy()) if is_repr else str(tensor.numpy())
+  else:
+    text = "<unprintable>"
+  if "\n" in text:
+    text = "\n" + text
+  return text
+
+
 # NOTE(ebrevdo): Do not subclass this.  If you do, I will break you on purpose.
 class _TensorLike(object):
   """Internal cls for grouping Tensor, SparseTensor, ..., for is_instance."""
@@ -590,15 +601,6 @@ class _EagerTensorBase(Tensor):
     # performance-sensitive in some models.
     return dtypes._INTERN_TABLE[self._datatype_enum()]  # pylint: disable=protected-access
 
-  def _numpy_text(self, is_repr=False):
-    if self.dtype.is_numpy_compatible:
-      numpy_text = repr(self.numpy()) if is_repr else str(self.numpy())
-    else:
-      numpy_text = "<unprintable>"
-    if "\n" in numpy_text:
-      numpy_text = "\n" + numpy_text
-    return numpy_text
-
   def numpy(self):
     """Returns a numpy array with the same contents as the Tensor.
 
@@ -640,13 +642,13 @@ class _EagerTensorBase(Tensor):
     raise NotImplementedError()
 
   def __str__(self):
-    return "tf.Tensor(%s, shape=%s, dtype=%s)" % (self._numpy_text(),
+    return "tf.Tensor(%s, shape=%s, dtype=%s)" % (numpy_text(self),
                                                   self.shape,
                                                   self.dtype.name)
 
   def __repr__(self):
     return "<tf.Tensor: id=%s, shape=%s, dtype=%s, numpy=%s>" % (
-        self._id, self.shape, self.dtype.name, self._numpy_text(is_repr=True))
+        self._id, self.shape, self.dtype.name, numpy_text(self, is_repr=True))
 
   @staticmethod
   def _override_operator(name, func):
diff --git a/tensorflow/python/kernel_tests/variables_test.py b/tensorflow/python/kernel_tests/variables_test.py
index 7718710c69..f60ebf58f6 100644
--- a/tensorflow/python/kernel_tests/variables_test.py
+++ b/tensorflow/python/kernel_tests/variables_test.py
@@ -504,7 +504,7 @@ class VariablesTestCase(test.TestCase):
       self.assertAllClose(np.ones((5, 5), np.float32), var.eval())
 
   def testRepr(self):
-    var = variables.Variable(np.zeros((5, 5), np.float32), name='noop')
+    var = variables.Variable(np.zeros((5, 5), np.float32), name="noop")
     self.assertEqual(
         "<tf.Variable 'noop:0' shape=(5, 5) dtype=float32_ref>",
         repr(var))
diff --git a/tensorflow/python/ops/variables.py b/tensorflow/python/ops/variables.py
index a27f26e303..90b4f25d81 100644
--- a/tensorflow/python/ops/variables.py
+++ b/tensorflow/python/ops/variables.py
@@ -213,9 +213,13 @@ class Variable(object):
           constraint=constraint)
 
   def __repr__(self):
-    return "<tf.Variable '%s' shape=%s dtype=%s>" % (self.name,
-                                                     self.get_shape(),
-                                                     self.dtype.name)
+    if context.in_eager_mode():
+      return "<tf.Variable '%s' shape=%s dtype=%s, numpy=%s>" % (
+          self.name, self.get_shape(), self.dtype.name,
+          ops.numpy_text(self.read_value(), is_repr=True))
+    else:
+      return "<tf.Variable '%s' shape=%s dtype=%s>" % (
+          self.name, self.get_shape(), self.dtype.name)
 
   def _init_from_args(self,
                       initial_value=None,
-- 
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