unfolded2d_copy_channels_last Class — pytorch Architecture
Architecture documentation for the unfolded2d_copy_channels_last class in Unfold2d.cpp from the pytorch codebase.
Entity Profile
Source Code
aten/src/ATen/native/cpu/Unfold2d.cpp lines 329–385
template <typename scalar_t>
void unfolded2d_copy_channels_last(
const scalar_t* input_data,
scalar_t* finput_data,
int64_t kH,
int64_t kW,
int64_t dH,
int64_t dW,
int64_t padH,
int64_t padW,
int64_t n_input_plane,
int64_t input_height,
int64_t input_width,
int64_t output_height,
int64_t output_width) {
at::parallel_for(0, output_height * output_width, 0, [&](int64_t start, int64_t end) {
int64_t y = 0;
int64_t x = 0;
data_index_init(start, y, output_height, x, output_width);
for (const auto k [[maybe_unused]] : c10::irange(start, end)) {
scalar_t* dst = finput_data + y * output_width * kH * kW * n_input_plane +
x * kH * kW * n_input_plane;
const scalar_t* src = input_data;
if (padW > 0 || padH > 0) {
for (int64_t kh = 0; kh < kH; kh++) {
for (int64_t kw = 0; kw < kW; kw++) {
int64_t iy = y * dH - padH + kh;
int64_t ix = x * dW - padW + kw;
if (iy < 0 || iy >= input_height || ix < 0 || ix >= input_width) {
memset(dst + kh * kW * n_input_plane + kw * n_input_plane,
0,
sizeof(scalar_t) * n_input_plane);
} else {
memcpy(dst + kh * kW * n_input_plane + kw * n_input_plane,
src + iy * input_width * n_input_plane + ix * n_input_plane,
sizeof(scalar_t) * n_input_plane);
}
}
}
} else {
for (int64_t kh = 0; kh < kH; kh++) {
for (int64_t kw = 0; kw < kW; kw++) {
int64_t iy = y * dH + kh;
int64_t ix = x * dW + kw;
memcpy(dst + kh * kW * n_input_plane + kw * n_input_plane,
src + iy * input_width * n_input_plane + ix * n_input_plane,
sizeof(scalar_t) * n_input_plane);
}
}
}
// move on to next output index
data_index_step(y, output_height, x, output_width);
}
});
}
Source
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