47 lines
1.7 KiB
C++
47 lines
1.7 KiB
C++
// Copyright 2022 The MediaPipe Authors.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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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#ifndef MEDIAPIPE_CALCULATORS_TENSOR_INFERENCE_INTERPRETER_DELEGATE_RUNNER_H_
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#define MEDIAPIPE_CALCULATORS_TENSOR_INFERENCE_INTERPRETER_DELEGATE_RUNNER_H_
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#include <memory>
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#include <vector>
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#include "absl/status/statusor.h"
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#include "mediapipe/calculators/tensor/inference_runner.h"
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#include "mediapipe/framework/api2/packet.h"
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#include "mediapipe/util/tflite/tflite_model_loader.h"
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#include "tensorflow/lite/core/api/op_resolver.h"
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#include "tensorflow/lite/interpreter.h"
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namespace mediapipe {
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using TfLiteDelegatePtr =
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std::unique_ptr<TfLiteDelegate, std::function<void(TfLiteDelegate*)>>;
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// Creates inference runner which run inference using newly initialized
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// interpreter and provided `delegate`.
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//
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// `delegate` can be nullptr, in that case newly initialized interpreter will
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// use what is available by default.
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absl::StatusOr<std::unique_ptr<InferenceRunner>>
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CreateInferenceInterpreterDelegateRunner(
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api2::Packet<TfLiteModelPtr> model,
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api2::Packet<tflite::OpResolver> op_resolver, TfLiteDelegatePtr delegate,
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int interpreter_num_threads);
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} // namespace mediapipe
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#endif // MEDIAPIPE_CALCULATORS_TENSOR_INFERENCE_INTERPRETER_DELEGATE_RUNNER_H_
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