4764bf2986
Step 1 of re-namespace'ing StreamExecutor into ::stream_executor. This moves everything inside of stream_executor/..., and leaves a namespace alias into ::perftools::gputools. The next steps will clean up users to use the new namespace. This is mostly a mechanical change, but it also includes a bunch of non-mechanical changes that ideally would be split out into separate patches. Unfortunately they all sort of need to be shoved in here for various reasons: - forward declarations need to be in the same namespace as the actual types, so we need to change all forward declarations of StreamExecutor types in this one patch. - Uses of these forward declarations need to be changed to the new namespace (or otherwise we need to add a namespace alias to the relevant header, but this is pretty ugly). - Various initialization code needs to live in StreamExecutor's "real" namespace, so all this needs to be changed. PiperOrigin-RevId: 193256128
74 lines
2.5 KiB
C++
74 lines
2.5 KiB
C++
/* Copyright 2015 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_TIMER_H_
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#define TENSORFLOW_STREAM_EXECUTOR_TIMER_H_
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#include <memory>
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#include "tensorflow/stream_executor/platform/port.h"
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namespace stream_executor {
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namespace internal {
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class TimerInterface;
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} // namespace internal
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class StreamExecutor;
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// An interval timer, suitable for use in timing the operations which occur in
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// streams.
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//
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// Thread-hostile: CUDA associates a CUDA-context with a particular thread in
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// the system. Any operation that a user attempts to perform by using a Timer
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// on a thread not-associated with the CUDA-context has unknown behavior at the
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// current time; see b/13176597
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class Timer {
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public:
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// Instantiate a timer tied to parent as a platform executor.
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explicit Timer(StreamExecutor *parent);
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// Deallocates any timer resources that the parent StreamExecutor has bestowed
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// upon this object.
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~Timer();
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// Returns the elapsed number of microseconds for a completed timer.
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// Completed means has been through a start/stop lifecycle.
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uint64 Microseconds() const;
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// Returns the elapsed number of nanoseconds for a completed timer.
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// Completed means has been through a start/stop lifecycle.
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uint64 Nanoseconds() const;
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// Returns the (opaque) backing platform ITimer instance. Ownership is
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// not transferred to the caller.
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internal::TimerInterface *implementation() { return implementation_.get(); }
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private:
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// The StreamExecutor that manages the platform-specific internals for this
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// timer.
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StreamExecutor *parent_;
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// Platform-dependent implementation of the timer internals for the underlying
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// platform. This class just delegates to this opaque instance.
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std::unique_ptr<internal::TimerInterface> implementation_;
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SE_DISALLOW_COPY_AND_ASSIGN(Timer);
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};
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} // namespace stream_executor
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#endif // TENSORFLOW_STREAM_EXECUTOR_TIMER_H_
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