75bd1d5c92
Introduce a simple profiler interface for allowing client injection of an arbitrary profiler implementation at runtime, without requiring special build flags. PiperOrigin-RevId: 247044534
38 lines
1.3 KiB
C++
38 lines
1.3 KiB
C++
/* Copyright 2018 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_LITE_PROFILING_PROFILER_H_
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#define TENSORFLOW_LITE_PROFILING_PROFILER_H_
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#include "tensorflow/lite/profiling/buffered_profiler.h"
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#include "tensorflow/lite/profiling/noop_profiler.h"
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namespace tflite {
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namespace profiling {
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// TODO(b/131688504): Remove this and use runtime flags for profiler selection.
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#ifdef TFLITE_PROFILING_ENABLED
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using Profiler = BufferedProfiler;
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#else
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using Profiler = NoopProfiler;
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#endif // TFLITE_PROFILING_ENABLED
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} // namespace profiling
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} // namespace tflite
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#define SCOPED_TAGGED_OPERATOR_PROFILE TFLITE_SCOPED_TAGGED_OPERATOR_PROFILE
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#define SCOPED_OPERATOR_PROFILE TFLITE_SCOPED_OPERATOR_PROFILE
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#endif // TENSORFLOW_LITE_PROFILING_PROFILER_H_
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