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/* 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/core/framework/common_shape_fns.h"
#include "tensorflow/core/framework/op.h"
#include "tensorflow/core/framework/shape_inference.h"
namespace tensorflow {
using shape_inference::InferenceContext;
REGISTER_OP("XlaLaunch")
.Input("constants: Tconstants")
.Attr("Tconstants: list(type) >= 0")
.Input("args: Targs")
.Attr("Targs: list(type) >= 0")
.Input("resources: Nresources * resource")
.Attr("Nresources: int >= 0")
.Output("results: Tresults")
.Attr("Tresults: list(type) >= 0")
.Attr("function: func")
// XLA random-number generation ops are stateful.
// TODO(phawkins): create stateful and non-stateful variants of XlaLaunch.
.SetIsStateful()
.Doc("XLA Launch Op. For use by the XLA JIT only.");
REGISTER_OP("XlaClusterOutput")
.Input("input: T")
// Note: when replication is supported, this op will have N outputs.
.Output("outputs: T")
.Attr("T: type")
.SetShapeFn([](InferenceContext* c) {
for (int i = 0; i < c->num_outputs(); ++i) {
c->set_output(i, c->input(0));
}
return Status::OK();
})
.Doc(
"Operator that connects the output of an XLA computation to other "
"consumer graph nodes.");
} // namespace tensorflow
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