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, 7 insertions, 8 deletions

diff --git a/tensorflow/core/kernels/summary_op.cc b/tensorflow/core/kernels/summary_op.cc
index e64619284d..972889f878 100644
--- a/tensorflow/core/kernels/summary_op.cc
+++ b/tensorflow/core/kernels/summary_op.cc
@@ -21,6 +21,7 @@ limitations under the License.
 #include <unordered_set>
 
 #include "tensorflow/core/framework/op_kernel.h"
+#include "tensorflow/core/framework/register_types.h"
 #include "tensorflow/core/framework/resource_mgr.h"
 #include "tensorflow/core/framework/summary.pb.h"
 #include "tensorflow/core/lib/core/errors.h"
@@ -105,14 +106,12 @@ class SummaryHistoOp : public OpKernel {
   }
 };
 
-REGISTER_KERNEL_BUILDER(Name("HistogramSummary")
-                            .Device(DEVICE_CPU)
-                            .TypeConstraint<float>("T"),
-                        SummaryHistoOp<float>);
-REGISTER_KERNEL_BUILDER(Name("HistogramSummary")
-                            .Device(DEVICE_CPU)
-                            .TypeConstraint<double>("T"),
-                        SummaryHistoOp<double>);
+#define REGISTER(T)                                                       \
+  REGISTER_KERNEL_BUILDER(                                                \
+      Name("HistogramSummary").Device(DEVICE_CPU).TypeConstraint<T>("T"), \
+      SummaryHistoOp<T>);
+TF_CALL_REAL_NUMBER_TYPES(REGISTER)
+#undef REGISTER
 
 struct HistogramResource : public ResourceBase {
   histogram::ThreadSafeHistogram histogram;