wehub-resource-sync
57 lines
2.4 KiB
C++
57 lines
2.4 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_DELEGATES_XNNPACK_QUANTIZATION_UTIL_H_
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#define TENSORFLOW_LITE_DELEGATES_XNNPACK_QUANTIZATION_UTIL_H_
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#include <cstddef>
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#include <cstdint>
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#include "tensorflow/lite/kernels/internal/runtime_shape.h"
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#include "tensorflow/lite/kernels/internal/types.h"
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namespace tflite {
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namespace xnnpack {
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// Dequantizes INT8 value using given zero point and scale.
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// packed_s8_data should contain raw tensor data corresponding to
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// a given tensor_shape. unpacked_fp32_data should be preallocated
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// to have the same size.
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void DequantizeInt8(const int8_t* packed_s8_data, float* unpacked_fp32_data,
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const RuntimeShape& tensor_shape, int32_t zero_point,
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double scale);
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// Per-channel dequantizes INT8 value using given zero points and
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// scales. packed_s8_data should contain raw tensor data corresponding
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// to a given tensor_shape. unpacked_fp32_data should be preallocated
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// to have the same size.
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void PerChannelDequantizeInt8(const int8_t* packed_s8_data,
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float* unpacked_fp32_data,
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const RuntimeShape& tensor_shape,
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const int32_t* zero_points, const float* scales,
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int32_t quantized_dimension);
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// Dequantizes INT8 value using given zero point and scale.
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// packed_fp16_data should have tensor_elements size and contain raw
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// FP16 tensor data. unpacked_fp32_data should be preallocated to
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// have the same size.
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void DequantizeFloat16(const uint16_t* packed_fp16_data,
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float* unpacked_fp32_data, size_t tensor_elements);
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} // namespace xnnpack
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} // namespace tflite
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#endif // TENSORFLOW_LITE_DELEGATES_XNNPACK_QUANTIZATION_UTIL_H_
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