Merge pull request tensorflow#7676 from yaroslavvb/variable_shape_fix

Add .shape property to Variable object

Author: Maciek Chociej

tensorflow/python/kernel_tests/variables_test.py

@@ -46,11 +46,13 @@ def testInitialization(self):
       self.assertEqual("Variable:0", var0.name)
       self.assertEqual([], var0.get_shape())
       self.assertEqual([], var0.get_shape())
+      self.assertEqual([], var0.shape)
 
       var1 = variables.Variable(1.1)
       self.assertEqual("Variable_1:0", var1.name)
       self.assertEqual([], var1.get_shape())
       self.assertEqual([], var1.get_shape())
+      self.assertEqual([], var1.shape)
 
       with self.assertRaisesOpError("Attempting to use uninitialized value"):
         var0.eval()
@@ -69,11 +71,13 @@ def testInitializationOrder(self):
       self.assertEqual("rnd:0", rnd.name)
       self.assertEqual([3, 6], rnd.get_shape())
       self.assertEqual([3, 6], rnd.get_shape())
+      self.assertEqual([3, 6], rnd.shape)
 
       dep = variables.Variable(rnd.initialized_value(), name="dep")
       self.assertEqual("dep:0", dep.name)
       self.assertEqual([3, 6], dep.get_shape())
       self.assertEqual([3, 6], dep.get_shape())
+      self.assertEqual([3, 6], dep.shape)
 
       # Currently have to set the shape manually for Add.
       added_val = rnd.initialized_value() + dep.initialized_value() + 2.0
@@ -83,6 +87,7 @@ def testInitializationOrder(self):
       self.assertEqual("depdep:0", depdep.name)
       self.assertEqual([3, 6], depdep.get_shape())
       self.assertEqual([3, 6], depdep.get_shape())
+      self.assertEqual([3, 6], depdep.shape)
 
       variables.global_variables_initializer().run()
 
@@ -375,13 +380,15 @@ def testInitializerFunction(self):
 
       v1 = variables.Variable(initializer, dtype=dtypes.float32)
       self.assertEqual(shape, v1.get_shape())
+      self.assertEqual(shape, v1.shape)
       self.assertAllClose(value, v1.initial_value.eval())
       with self.assertRaises(errors_impl.FailedPreconditionError):
         v1.eval()
 
       v2 = variables.Variable(
           math_ops.negative(v1.initialized_value()), dtype=dtypes.float32)
       self.assertEqual(v1.get_shape(), v2.get_shape())
+      self.assertEqual(v1.shape, v2.shape)
       self.assertAllClose(np.negative(value), v2.initial_value.eval())
 
       # Once v2.initial_value.eval() has been called, v1 has effectively been
@@ -532,6 +539,7 @@ def testPartitionedVariable(self):
       self.assertEqual(2, num_partitions)
       self.assertEqual([v0, v1], iterated_partitions)
       self.assertEqual([2], concatenated.get_shape())
+      self.assertEqual([2], concatenated.shape)
 
   def testPartitionedVariableFailures(self):
     with ops.Graph().as_default():

tensorflow/python/ops/variables.py

@@ -723,14 +723,19 @@ def graph(self):
     """The `Graph` of this variable."""
     return self._variable.graph
 
-  def get_shape(self):
+  @property
+  def shape(self):
     """The `TensorShape` of this variable.
 
     Returns:
       A `TensorShape`.
     """
     return self._variable.get_shape()
 
+  def get_shape(self):
+    """Alias of Variable.shape."""
+    return self.shape
+
   def to_proto(self, export_scope=None):
     """Converts a `Variable` to a `VariableDef` protocol buffer.