23e387975e
This better reflects what the load library module does. PiperOrigin-RevId: 317763973 Change-Id: I66169394c2f1d77b260323cb81d76f0f4e167579
46 lines
1.6 KiB
C++
46 lines
1.6 KiB
C++
/* Copyright 2020 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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#ifndef TENSORFLOW_STREAM_EXECUTOR_TPU_TPU_TIMER_H_
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#define TENSORFLOW_STREAM_EXECUTOR_TPU_TPU_TIMER_H_
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#include "tensorflow/core/platform/types.h"
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#include "tensorflow/core/tpu/tpu_api.h"
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#include "tensorflow/stream_executor/stream_executor_internal.h"
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#include "tensorflow/stream_executor/tpu/tpu_executor_c_api.h"
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namespace tensorflow {
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class TpuTimer : public ::stream_executor::internal::TimerInterface {
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public:
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explicit TpuTimer(SE_Timer* timer) : timer_(timer) {}
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~TpuTimer() override {
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tensorflow::tpu::ExecutorApiFn()->TpuTimer_FreeFn(timer_);
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}
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uint64 Microseconds() const override {
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return tensorflow::tpu::ExecutorApiFn()->TpuTimer_MicrosecondsFn(timer_);
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}
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uint64 Nanoseconds() const override {
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return tensorflow::tpu::ExecutorApiFn()->TpuTimer_NanosecondsFn(timer_);
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}
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private:
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SE_Timer* timer_;
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};
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} // namespace tensorflow
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#endif // TENSORFLOW_STREAM_EXECUTOR_TPU_TPU_TIMER_H_
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