The flag does not appear to be used anywhere, and the implementation of the flag is using a deprecated method tflite::Interpreter::UseNNAPI (which in turn also uses the NnApiDelegate function under the hood, which is also deprecated). PiperOrigin-RevId: 333563488 Change-Id: Ia2c9aff3597c7629f8118eba9096a5bf55f056b2
51 lines
1.6 KiB
C++
51 lines
1.6 KiB
C++
/* Copyright 2017 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_EXAMPLES_LABEL_IMAGE_LABEL_IMAGE_H_
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#define TENSORFLOW_LITE_EXAMPLES_LABEL_IMAGE_LABEL_IMAGE_H_
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#include "tensorflow/lite/model.h"
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#include "tensorflow/lite/string_type.h"
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namespace tflite {
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namespace label_image {
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struct Settings {
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bool verbose = false;
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bool accel = false;
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TfLiteType input_type = kTfLiteFloat32;
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bool profiling = false;
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bool allow_fp16 = false;
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bool gl_backend = false;
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bool hexagon_delegate = false;
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bool xnnpack_delegate = false;
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int loop_count = 1;
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float input_mean = 127.5f;
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float input_std = 127.5f;
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string model_name = "./mobilenet_quant_v1_224.tflite";
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tflite::FlatBufferModel* model;
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string input_bmp_name = "./grace_hopper.bmp";
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string labels_file_name = "./labels.txt";
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int number_of_threads = 4;
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int number_of_results = 5;
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int max_profiling_buffer_entries = 1024;
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int number_of_warmup_runs = 2;
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};
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} // namespace label_image
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} // namespace tflite
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#endif // TENSORFLOW_LITE_EXAMPLES_LABEL_IMAGE_LABEL_IMAGE_H_
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