6e024748f6
* testing library visible to all of micro but nothing else. * moved benchmark.h to micro/benchmarks so that it can have private visibility. PiperOrigin-RevId: 315729400 Change-Id: I695b9bb749de8748e9ac929ff612d6a9e7d33b3d
62 lines
2.2 KiB
C++
62 lines
2.2 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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#include <cstdint>
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#include <cstdlib>
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#include "tensorflow/lite/c/common.h"
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#include "tensorflow/lite/micro/benchmarks/keyword_scrambled_model_data.h"
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#include "tensorflow/lite/micro/benchmarks/micro_benchmark.h"
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#include "tensorflow/lite/micro/kernels/micro_ops.h"
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#include "tensorflow/lite/micro/micro_error_reporter.h"
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#include "tensorflow/lite/micro/micro_interpreter.h"
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#include "tensorflow/lite/micro/micro_mutable_op_resolver.h"
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/*
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* Keyword Spotting Benchmark for performance optimizations. The model used in
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* this benchmark only serves as a reference. The values assigned to the model
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* weights and parameters are not representative of the original model.
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*/
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namespace {
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// Create an area of memory to use for input, output, and intermediate arrays.
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constexpr int tensor_arena_size = 73 * 1024;
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uint8_t tensor_arena[tensor_arena_size];
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// A random number generator seed to generate input values.
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constexpr int kRandomSeed = 42;
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// NOLINTNEXTLINE
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MicroBenchmarkRunner<int16_t> runner(g_keyword_scrambled_model_data,
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tensor_arena, tensor_arena_size,
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kRandomSeed);
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void KeywordRunTenIerations() {
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// TODO(b/152644476): Add a way to run more than a single deterministic input.
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for (int i = 0; i < 10; i++) {
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runner.RunSingleIterationRandomInput();
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}
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}
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} // namespace
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TF_LITE_MICRO_BENCHMARKS_BEGIN
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TF_LITE_MICRO_BENCHMARK(runner.RunSingleIterationRandomInput());
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TF_LITE_MICRO_BENCHMARK(KeywordRunTenIerations());
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TF_LITE_MICRO_BENCHMARKS_END
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