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61 lines
2 KiB
C++
61 lines
2 KiB
C++
#include "lib/Api.Image/pch.h"
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#include "inc/NominalRangeConverter.h"
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namespace _winml {
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NominalRangeConverter::NominalRangeConverter(winml::LearningModelPixelRange pixelRange) {
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// For Normalization: the formula is input_range[min, max] / scale - shift
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// For DeNormalization: the formula is (input_range[min, max] + shift) * scale
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if (pixelRange == winml::LearningModelPixelRange::ZeroTo255) {
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scale = 1.f;
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shift = 0;
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} else if (pixelRange == winml::LearningModelPixelRange::ZeroToOne) {
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scale = 255.f;
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shift = 0;
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} else if (pixelRange == winml::LearningModelPixelRange::MinusOneToOne) {
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scale = (255.f / 2.f);
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shift = 1;
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}
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};
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// [0, 255] --> [0, 255]
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// [0, 255] / 255 --> [0, 1]
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// [0, 255] * 2 / 255 - 1 --> [-1, 1]
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float NominalRangeConverter::Normalize(float val) const {
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return val / scale - shift;
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}
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DirectX::PackedVector::HALF NominalRangeConverter::Normalize(DirectX::PackedVector::HALF val) const {
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return static_cast<DirectX::PackedVector::HALF>(val / scale - shift);
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}
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#if defined(_M_AMD64) || defined(_M_IX86)
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__m128 NominalRangeConverter::Normalize(__m128 sse_data) const {
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__m128 sse_shift = _mm_set1_ps(static_cast<float>(shift));
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__m128 sse_scale = _mm_set1_ps(scale);
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auto sse_dived = _mm_div_ps(sse_data, sse_scale);
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return _mm_sub_ps(sse_dived, sse_shift);
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}
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#endif
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// [0, 255] --> [0, 255]
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// ([0, 1] + 0 ) * 255 -> [0, 1]
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// ([-1, 1] + 1) * 255 / 2 --> [-1, 1]
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float NominalRangeConverter::Denormalize(float val) const {
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return scale * (val + shift);
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}
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DirectX::PackedVector::HALF NominalRangeConverter::Denormalize(DirectX::PackedVector::HALF val) const {
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return static_cast<DirectX::PackedVector::HALF>(scale * (val + shift));
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}
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#if defined(_M_AMD64) || defined(_M_IX86)
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__m128 NominalRangeConverter::Denormalize(__m128 sse_data) const {
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__m128 sse_shift = _mm_set1_ps(static_cast<float>(shift));
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__m128 sse_scale = _mm_set1_ps(scale);
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auto sse_added = _mm_add_ps(sse_data, sse_shift);
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return _mm_mul_ps(sse_added, sse_scale);
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}
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#endif
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} // namespace _winml
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