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authorGravatar Geoffrey Irving <geoffreyi@google.com>2016-02-29 12:18:54 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2016-02-29 12:51:42 -0800
commit9f7fc90713cefb2c45467b0b0e487e2003e9001d (patch)
treef5548af3cf37f7829b68ba990f5269e0ada07a0f /tensorflow/core/distributed_runtime/rpc/grpc_call.h
parentcfcf3d6066a41c61d6cf73b328af5099034cbe86 (diff)
Generalize tf.test.compute_gradients to handle complex inputs and outputs
If inputs or outputs are complex, the Jacobian will still be real but the corresponding Jacobian dimension(s) will be twice as large. This is required even if both input and output is complex since TensorFlow graphs are not necessarily holomorphic, and may have gradients not expressible as complex numbers. Change: 115884848
Diffstat (limited to 'tensorflow/core/distributed_runtime/rpc/grpc_call.h')
-rw-r--r--tensorflow/core/distributed_runtime/rpc/grpc_call.h4
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/core/distributed_runtime/rpc/grpc_call.h b/tensorflow/core/distributed_runtime/rpc/grpc_call.h
index 11f139ca03..7775c1ecf5 100644
--- a/tensorflow/core/distributed_runtime/rpc/grpc_call.h
+++ b/tensorflow/core/distributed_runtime/rpc/grpc_call.h
@@ -18,8 +18,8 @@ limitations under the License.
#include "tensorflow/core/platform/macros.h"
-#include "external/grpc/include/grpc++/grpc++.h"
-#include "external/grpc/include/grpc++/server_builder.h"
+#include "grpc++/grpc++.h"
+#include "grpc++/server_builder.h"
namespace tensorflow {