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chore: import upstream snapshot with attribution
2026-07-13 12:14:16 +08:00

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/* Copyright 2022 The TensorFlow Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#include "tensorflow/lite/delegates/gpu/delegate_options.h"
#include <limits>
TfLiteGpuDelegateOptionsV2 TfLiteGpuDelegateOptionsV2Default() {
TfLiteGpuDelegateOptionsV2 options;
// set it to -1 to detect whether it was later adjusted.
options.is_precision_loss_allowed = -1;
options.inference_preference =
TFLITE_GPU_INFERENCE_PREFERENCE_FAST_SINGLE_ANSWER;
options.inference_priority1 = TFLITE_GPU_INFERENCE_PRIORITY_MAX_PRECISION;
options.inference_priority2 = TFLITE_GPU_INFERENCE_PRIORITY_AUTO;
options.inference_priority3 = TFLITE_GPU_INFERENCE_PRIORITY_AUTO;
options.experimental_flags = TFLITE_GPU_EXPERIMENTAL_FLAGS_ENABLE_QUANT;
options.max_delegated_partitions = 1;
options.model_token = nullptr;
options.serialization_dir = nullptr;
#ifdef TFLITE_DEBUG_DELEGATE
options.first_delegate_node_index = 0;
options.last_delegate_node_index = std::numeric_limits<int>::max();
#endif
#ifdef TFLITE_GPU_ENABLE_INVOKE_LOOP
options.gpu_invoke_loop_times = 1;
#endif
return options;
}