1 files changed, 47 insertions, 0 deletions
diff --git a/tensorflow/compiler/tf2xla/kernels/aggregate_ops.cc b/tensorflow/compiler/tf2xla/kernels/aggregate_ops.cc
new file mode 100644
index 0000000000..8f284c3017
--- /dev/null
+++ b/tensorflow/compiler/tf2xla/kernels/aggregate_ops.cc
@@ -0,0 +1,47 @@
+/* Copyright 2017 The TensorFlow Authors. 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/compiler/tf2xla/xla_compilation_device.h"
+#include "tensorflow/compiler/tf2xla/xla_op_kernel.h"
+
+namespace tensorflow {
+namespace {
+
+class AddNOp : public XlaOpKernel {
+ public:
+  explicit AddNOp(OpKernelConstruction* ctx) : XlaOpKernel(ctx) {}
+
+  void Compile(XlaOpKernelContext* ctx) override {
+    if (!ctx->ValidateInputsAreSameShape(this)) return;
+
+    OP_REQUIRES(ctx, ctx->num_inputs() >= 1,
+                errors::InvalidArgument("AddN requires at least one argument"));
+
+    xla::ComputationDataHandle sum = ctx->Input(0);
+    for (int i = 1; i < ctx->num_inputs(); ++i) {
+      sum = ctx->builder()->Add(sum, ctx->Input(i));
+    }
+
+    ctx->SetOutput(0, sum);
+  }
+
+ private:
+  TF_DISALLOW_COPY_AND_ASSIGN(AddNOp);
+};
+
+REGISTER_XLA_OP("AddN", AddNOp);
+
+}  // namespace
+}  // namespace tensorflow