131 lines
3.5 KiB
C++
131 lines
3.5 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/xla/executable_run_options.h"
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#include <atomic>
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namespace xla {
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RunId::RunId() {
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static std::atomic<int64> counter{0};
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data_ = counter.fetch_add(1);
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}
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bool operator==(const RunId& a, const RunId& b) { return a.data_ == b.data_; }
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std::string RunId::ToString() const {
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return "RunId: " + std::to_string(data_);
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}
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int64 RunId::ToInt() const { return data_; }
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ExecutableRunOptions& ExecutableRunOptions::set_device_ordinal(
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int device_ordinal) {
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device_ordinal_ = device_ordinal;
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return *this;
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}
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int ExecutableRunOptions::device_ordinal() const { return device_ordinal_; }
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ExecutableRunOptions& ExecutableRunOptions::set_allocator(
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stream_executor::DeviceMemoryAllocator* allocator) {
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allocator_ = allocator;
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return *this;
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}
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stream_executor::DeviceMemoryAllocator* ExecutableRunOptions::allocator()
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const {
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return allocator_;
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}
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ExecutableRunOptions& ExecutableRunOptions::set_stream(
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stream_executor::Stream* stream) {
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stream_ = stream;
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return *this;
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}
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stream_executor::Stream* ExecutableRunOptions::stream() const {
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return stream_;
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}
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ExecutableRunOptions& ExecutableRunOptions::set_host_to_device_stream(
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stream_executor::Stream* stream) {
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host_to_device_stream_ = stream;
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return *this;
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}
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stream_executor::Stream* ExecutableRunOptions::host_to_device_stream() const {
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return host_to_device_stream_;
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}
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ExecutableRunOptions& ExecutableRunOptions::set_intra_op_thread_pool(
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const Eigen::ThreadPoolDevice* intra_op_thread_pool) {
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intra_op_thread_pool_ = intra_op_thread_pool;
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return *this;
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}
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const Eigen::ThreadPoolDevice* ExecutableRunOptions::intra_op_thread_pool()
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const {
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return intra_op_thread_pool_;
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}
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ExecutableRunOptions& ExecutableRunOptions::set_execution_profile(
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ExecutionProfile* profile) {
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execution_profile_ = profile;
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return *this;
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}
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ExecutionProfile* ExecutableRunOptions::execution_profile() const {
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return execution_profile_;
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}
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ExecutableRunOptions& ExecutableRunOptions::set_device_assignment(
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const DeviceAssignment* device_assignment) {
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device_assignment_ = device_assignment;
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return *this;
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}
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const DeviceAssignment* ExecutableRunOptions::device_assignment() const {
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return device_assignment_;
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}
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ExecutableRunOptions& ExecutableRunOptions::set_gpu_executable_run_options(
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const GpuExecutableRunOptions* gpu_executable_run_options) {
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gpu_executable_run_options_ = gpu_executable_run_options;
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return *this;
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}
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const GpuExecutableRunOptions*
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ExecutableRunOptions::gpu_executable_run_options() const {
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return gpu_executable_run_options_;
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}
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ExecutableRunOptions& ExecutableRunOptions::set_rng_seed(int rng_seed) {
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rng_seed_ = rng_seed;
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return *this;
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}
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int ExecutableRunOptions::rng_seed() const { return rng_seed_; }
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ExecutableRunOptions& ExecutableRunOptions::set_run_id(RunId id) {
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run_id_ = id;
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return *this;
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}
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RunId ExecutableRunOptions::run_id() const { return run_id_; }
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} // namespace xla
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