Implements automatic packing for nested lists/tuples of tensors.

This change extends the set of valid arguments to
`tf.convert_to_tensor()` to include lists/tuples that contain a
mixture of values and `tf.Tensor` objects.

This enables you to write things like:

```python
input_data = ...
batch_size = tf.placeholder(tf.int32, shape=[])
reshaped_data = tf.reshape(input_data, [batch_size, 784])
```

...and saves you from having to use `tf.concat()`/`tf.pack()` to
achieve this manually.

Fixes #2328.
Change: 122494369

1 files changed, 0 insertions, 11 deletions

diff --git a/tensorflow/python/ops/op_def_library_test.py b/tensorflow/python/ops/op_def_library_test.py
index 22d14e2789..8b712a61db 100644
--- a/tensorflow/python/ops/op_def_library_test.py
+++ b/tensorflow/python/ops/op_def_library_test.py
@@ -221,12 +221,6 @@ class OpDefLibraryTest(test_util.TensorFlowTestCase):
       self._lib.apply_op("Simple", wrong=7)
     self.assertEqual(str(cm.exception), "No argument for input a")
 
-    with self.assertRaises(TypeError) as cm:
-      self._lib.apply_op("Simple", a=[self.Tensor(dtypes.int32)])
-    self.assertStartsWith(str(cm.exception),
-                          "Expected int32, got list containing Tensors of type "
-                          "'_Message' instead.")
-
   def testReservedInput(self):
     self._add_op("name: 'ReservedInput' "
                  "input_arg { name: 'input' type: DT_INT32 } ")
@@ -267,11 +261,6 @@ class OpDefLibraryTest(test_util.TensorFlowTestCase):
     self.assertEqual(str(cm.exception),
                      "Should not specify value for inferred attr 'T'.")
 
-    with self.assertRaises(TypeError) as cm:
-      self._lib.apply_op("Polymorphic", a=[self.Tensor(dtypes.bool)])
-    self.assertEqual(str(cm.exception),
-                     "List of Tensors when single Tensor expected")
-
   def testPolymorphicOut(self):
     self._add_op("name: 'PolymorphicOut' "
                  "output_arg { name: 'out' type_attr: 'T' } "