66 lines
2.0 KiB
C++
66 lines
2.0 KiB
C++
// sherpa-onnx/csrc/transpose.cc
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//
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// Copyright (c) 2023 Xiaomi Corporation
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#include "sherpa-onnx/csrc/transpose.h"
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#include <algorithm>
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#include <cassert>
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#include <vector>
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namespace sherpa_onnx {
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template <typename T /*=float*/>
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Ort::Value Transpose01(OrtAllocator *allocator, const Ort::Value *v) {
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std::vector<int64_t> shape = v->GetTensorTypeAndShapeInfo().GetShape();
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assert(shape.size() == 3);
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std::array<int64_t, 3> ans_shape{shape[1], shape[0], shape[2]};
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Ort::Value ans = Ort::Value::CreateTensor<T>(allocator, ans_shape.data(),
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ans_shape.size());
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T *dst = ans.GetTensorMutableData<T>();
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auto plane_offset = shape[1] * shape[2];
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for (int64_t i = 0; i != ans_shape[0]; ++i) {
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const T *src = v->GetTensorData<T>() + i * shape[2];
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for (int64_t k = 0; k != ans_shape[1]; ++k) {
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std::copy(src, src + shape[2], dst);
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src += plane_offset;
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dst += shape[2];
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}
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}
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return ans;
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}
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template <typename T /*= float*/>
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Ort::Value Transpose12(OrtAllocator *allocator, const Ort::Value *v) {
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std::vector<int64_t> shape = v->GetTensorTypeAndShapeInfo().GetShape();
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assert(shape.size() == 3);
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std::array<int64_t, 3> ans_shape{shape[0], shape[2], shape[1]};
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Ort::Value ans = Ort::Value::CreateTensor<T>(allocator, ans_shape.data(),
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ans_shape.size());
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T *dst = ans.GetTensorMutableData<T>();
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auto row_stride = shape[2];
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for (int64_t b = 0; b != ans_shape[0]; ++b) {
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const T *src = v->GetTensorData<T>() + b * shape[1] * shape[2];
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for (int64_t i = 0; i != ans_shape[1]; ++i) {
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for (int64_t k = 0; k != ans_shape[2]; ++k, ++dst) {
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*dst = (src + k * row_stride)[i];
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}
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}
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}
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return ans;
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}
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template Ort::Value Transpose01<float>(OrtAllocator *allocator,
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const Ort::Value *v);
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template Ort::Value Transpose12<float>(OrtAllocator *allocator,
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const Ort::Value *v);
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} // namespace sherpa_onnx
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