inference_calculator_utils.cc | Explore in Territory

// Copyright 2022 The MediaPipe Authors.
//
// 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 "mediapipe/calculators/tensor/inference_calculator_utils.h"

#include <cstdint>
#include <cstring>
#include <ostream>
#include <string>
#include <vector>

#include "absl/status/status.h"
#include "absl/status/statusor.h"
#include "absl/strings/str_cat.h"
#include "absl/strings/str_format.h"
#include "absl/strings/str_join.h"
#include "absl/types/span.h"
#include "mediapipe/calculators/tensor/inference_calculator.pb.h"
#include "mediapipe/framework/formats/tensor.h"
#include "mediapipe/framework/memory_manager.h"
#include "mediapipe/framework/port.h"  // NOLINT: provides MEDIAPIPE_ANDROID/IOS
#include "mediapipe/framework/port/ret_check.h"
#include "mediapipe/framework/port/status_macros.h"
#include "tensorflow/lite/c/common.h"
#include "tensorflow/lite/interpreter.h"
#include "tensorflow/lite/portable_type_to_tflitetype.h"
#include "tensorflow/lite/string_util.h"

#if !defined(__EMSCRIPTEN__) || defined(__EMSCRIPTEN_PTHREADS__)
#include "mediapipe/util/cpu_util.h"
#endif  // !__EMSCRIPTEN__ || __EMSCRIPTEN_PTHREADS__

namespace mediapipe {

namespace {

int GetXnnpackDefaultNumThreads() { … }

// Checks if a MediaPipe Tensor's type matches a TfLite's data type.
bool operator==(Tensor::ElementType tensor_type, TfLiteType tflite_type) { … }

template <typename T>
absl::Status CopyTensorToTfLiteTensor(const Tensor& input_tensor,
                                      TfLiteTensor& tflite_tensor) { … }

template <>
absl::Status CopyTensorToTfLiteTensor<char>(const Tensor& input_tensor,
                                            TfLiteTensor& tflite_tensor) { … }

bool operator==(const TfLiteIntArray& lhs, const std::vector<int>& rhs) { … }

std::ostream& operator<<(std::ostream& os, const TfLiteIntArray& array) { … }

template <typename T>
absl::Status CopyTfLiteTensorToTensor(const TfLiteTensor& tflite_tensor,
                                      Tensor& output_tensor) { … }

template <>
absl::Status CopyTfLiteTensorToTensor<char>(const TfLiteTensor& tflite_tensor,
                                            Tensor& output_tensor) { … }

}  // namespace

int GetXnnpackNumThreads(
    const bool opts_has_delegate,
    const mediapipe::InferenceCalculatorOptions::Delegate& opts_delegate) { … }

absl::Status CopyCpuInputIntoInterpreterTensor(const Tensor& input_tensor,
                                               tflite::Interpreter& interpreter,
                                               int input_tensor_index) { … }

absl::Status CopyCpuInputIntoTfLiteTensor(const Tensor& input_tensor,
                                          TfLiteTensor& tflite_tensor) { … }

absl::Status CopyInterpreterTensorIntoCpuOutput(
    const tflite::Interpreter& interpreter, int output_tensor_index,
    Tensor& output_tensor) { … }

absl::Status CopyTfLiteTensorIntoCpuOutput(const TfLiteTensor& tflite_tensor,
                                           Tensor& output_tensor) { … }

absl::StatusOr<Tensor> ConvertTfLiteTensorToTensor(
    const TfLiteTensor& tflite_tensor) { … }

absl::StatusOr<Tensor> CreateTensorWithTfLiteTensorSpecs(
    const TfLiteTensor& reference_tflite_tensor, MemoryManager* memory_manager,
    int alignment) { … }

}  // namespace mediapipe
chromium/third_party/mediapipe/src/mediapipe/calculators/tensor/inference_calculator_utils.cc
