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
73 lines
2.8 KiB
C++
73 lines
2.8 KiB
C++
/* Copyright 2019 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/lite/c/common.h"
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#include "tensorflow/lite/micro/benchmarks/micro_benchmark.h"
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#include "tensorflow/lite/micro/examples/person_detection/model_settings.h"
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#include "tensorflow/lite/micro/examples/person_detection/no_person_image_data.h"
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#include "tensorflow/lite/micro/examples/person_detection/person_detect_model_data.h"
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#include "tensorflow/lite/micro/examples/person_detection/person_image_data.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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#include "tensorflow/lite/micro/micro_utils.h"
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#include "tensorflow/lite/schema/schema_generated.h"
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#include "tensorflow/lite/version.h"
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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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/*
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* Person Detection benchmark. Evaluates runtime performance of the visual
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* wakewords person detection model. This is the same model found in
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* exmaples/person_detection.
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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 = 95 * 1024;
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uint8_t tensor_arena[tensor_arena_size];
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// NOLINTNEXTLINE
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MicroBenchmarkRunner<uint8_t> runner(g_person_detect_model_data, tensor_arena,
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tensor_arena_size, 0);
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void PersonDetectionTenIerationsWithPerson() {
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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.RunSingleIterationCustomInput(g_person_data);
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}
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}
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void PersonDetectionTenIerationsWithoutPerson() {
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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.RunSingleIterationCustomInput(g_no_person_data);
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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.RunSingleIterationCustomInput(g_person_data));
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TF_LITE_MICRO_BENCHMARK(PersonDetectionTenIerationsWithPerson());
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TF_LITE_MICRO_BENCHMARK(PersonDetectionTenIerationsWithoutPerson());
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TF_LITE_MICRO_BENCHMARKS_END
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