wehub-resource-sync
70 lines
2.7 KiB
C++
70 lines
2.7 KiB
C++
/* Copyright 2021 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_TOOLS_UTILS_H_
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#define TENSORFLOW_LITE_TOOLS_UTILS_H_
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#include <cstddef>
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#include <cstdint>
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#include <memory>
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#include <string>
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#include <vector>
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#include "absl/types/span.h"
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#include "tensorflow/lite/c/c_api_types.h"
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#include "tensorflow/lite/core/c/common.h"
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namespace tflite {
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namespace utils {
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// Implement type erasure with unique_ptr with custom deleter.
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using VoidUniquePtr = std::unique_ptr<void, void (*)(void*)>;
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// Represents any input tensor data to TfLite model.
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struct InputTensorData {
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InputTensorData() : data(nullptr, nullptr) {}
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VoidUniquePtr data;
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size_t bytes;
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};
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// Returns random test data that can be used for testing purposes only.
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// Data returned should be between 'low_range' and 'high_range'.
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InputTensorData CreateRandomTensorData(const TfLiteTensor& tensor,
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float low_range, float high_range);
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// Returns random test data for tensor of given name, type and size.
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// Data returned should be between 'low_range' and 'high_range'.
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InputTensorData CreateRandomTensorData(std::string name, TfLiteType type,
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int num_elements, float low_range,
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float high_range);
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// Fills out params 'low_range' and 'high_range' with range for tensor type
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// 'type'. Note that these ranges returned are just dummy used only for
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// benchmarking and/or testing purposes.
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void GetDataRangesForType(TfLiteType type, float* low_range, float* high_range);
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// Converts TfLiteTensor to float array. Returns an error if the tensor type is
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// not supported or the values size is not equal to the tensor dimension.
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TfLiteStatus TfLiteTensorToFloat32Array(const TfLiteTensor& tensor,
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absl::Span<float> values);
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// Same as above, but converts to int64_t array.
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TfLiteStatus TfLiteTensorToInt64Array(const TfLiteTensor& tensor,
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absl::Span<int64_t> values);
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} // namespace utils
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} // namespace tflite
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#endif // TENSORFLOW_LITE_TOOLS_UTILS_H_
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