9771765f41
Otherwise, this leads to strange crashes during the compilation. PiperOrigin-RevId: 304226917 Change-Id: Ia2f1e77b13a25c7e15f009787af81f93b90e8bca
53 lines
1.7 KiB
C++
53 lines
1.7 KiB
C++
/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include "tensorflow/compiler/jit/xla_kernel_creator.h"
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#include "tensorflow/compiler/jit/compilability_check_util.h"
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#include "tensorflow/compiler/jit/flags.h"
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#include "tensorflow/compiler/jit/xla_kernel_creator_util.h"
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#include "tensorflow/core/common_runtime/function.h"
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namespace tensorflow {
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bool XlaKernelCreator::CanCreateKernel(
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const FunctionLibraryRuntime& flr,
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const std::shared_ptr<const NodeProperties>& props) const {
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return CanCreateXlaKernel(props->node_def);
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}
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Status XlaKernelCreator::CreateKernel(
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FunctionLibraryRuntime* flr,
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const std::shared_ptr<const NodeProperties>& props,
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std::unique_ptr<OpKernel>* kernel) const {
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return CreateXlaKernel(flr, props->node_def, kernel);
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}
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namespace {
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bool RegisterLaunchOpCreator() {
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XlaKernelCreator* xla_kernel_creator = new XlaKernelCreator();
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RegisterDefaultCustomKernelCreator(xla_kernel_creator);
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return true;
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}
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static bool register_me = RegisterLaunchOpCreator();
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static bool register_xla = [] {
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SetXlaIsEnabled();
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return true;
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}();
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} // end namespace
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} // namespace tensorflow
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