TensorFlow: upstream changes to git.

Change 109695551
	Update FAQ
Change 109694725
	Add a gradient for resize_bilinear op.
Change 109694505
	Don't mention variables module in docs

	variables.Variable should be tf.Variable.
Change 109658848
	Adding an option to create a new thread-pool for each session.
Change 109640570

	Take the snapshot of stream-executor.
	+ Expose an interface for scratch space allocation in the interface.

Change 109638559
	Let image_summary accept uint8 input

	This allows users to do their own normalization / scaling if the default
	(very weird) behavior of image_summary is undesired.

	This required a slight tweak to fake_input.cc to make polymorphically typed
	fake inputs infer if their type attr is not set but has a default.

	Unfortunately, adding a second valid type to image_summary *disables* automatic
	implicit conversion from np.float64 to tf.float32, so this change is slightly
	backwards incompatible.
Change 109636969
	Add serialization operations for SparseTensor.
Change 109636644
	Update generated Op docs.
Change 109634899
	TensorFlow: add a markdown file for producing release notes for our
	releases.  Seed with 0.5.0 with a boring but accurate description.
Change 109634502
	Let histogram_summary take any realnumbertype

	It used to take only floats, not it understands ints.
Change 109634434
	TensorFlow: update locations where we mention python 3 support, update
	them to current truth.
Change 109632108
	Move HSV <> RGB conversions, grayscale conversions, and adjust_* ops back to tensorflow
	- make GPU-capable version of RGBToHSV and HSVToRGB, allows only float input/output
	- change docs to reflect new size constraints
	- change HSV format to be [0,1] for all components
	- add automatic dtype conversion for all adjust_* and grayscale conversion ops
	- fix up docs
Change 109631077
	Improve optimizer exceptions

	1. grads_and_vars is now a tuple, so must be wrapped when passed to format.
	2. Use '%r' instead of '%s' for dtype formatting

Base CL: 109697989

1 files changed, 42 insertions, 0 deletions

diff --git a/tensorflow/stream_executor/scratch_allocator.cc b/tensorflow/stream_executor/scratch_allocator.cc
new file mode 100644
index 0000000000..c216de3ab9
--- /dev/null
+++ b/tensorflow/stream_executor/scratch_allocator.cc
@@ -0,0 +1,42 @@
+/* Copyright 2015 Google Inc. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+==============================================================================*/
+
+#include "tensorflow/stream_executor/scratch_allocator.h"
+
+#include "tensorflow/stream_executor/lib/status_macros.h"
+#include "tensorflow/stream_executor/stream.h"
+
+namespace perftools {
+namespace gputools {
+
+ScratchAllocator::~ScratchAllocator() {}
+
+OneTimeScratchAllocator::OneTimeScratchAllocator() {}
+OneTimeScratchAllocator::~OneTimeScratchAllocator() {}
+
+int64 OneTimeScratchAllocator::GetMemoryLimitInBytes(Stream* stream) {
+  return -1;
+}
+
+port::StatusOr<DeviceMemory<uint8>> OneTimeScratchAllocator::AllocateBytes(
+    Stream* stream, int64 byte_size) {
+  CHECK(temporary_ == nullptr);
+  SE_ASSIGN_OR_RETURN(temporary_,
+                      stream->AllocateTemporaryArray<uint8>(byte_size));
+  return temporary_->device_memory();
+}
+
+}  // namespace gputools
+}  // namespace perftools