#include "megdnn/oprs.h"
#include "src/common/utils.h"
namespace megdnn {
void Images2NeibsBase::deduce_layout_fwd(const TensorLayout& src, TensorLayout& dst) {
auto errmsg = [&]() {
return megdnn_layout_msg(src) + ", " +
"pad_h=" + std::to_string(param().pad_h) + ", " +
"pad_w=" + std::to_string(param().pad_w) + ", " +
"stride_h=" + std::to_string(param().stride_h) + ", " +
"stride_w=" + std::to_string(param().stride_w) + ", " +
"dilate_h=" + std::to_string(param().dilate_h) + ", " +
"dilate_w=" + std::to_string(param().dilate_w) + ", " +
"window_h=" + std::to_string(param().window_h) + ", " +
"window_w=" + std::to_string(param().window_w);
};
MEGDNN_MARK_USED_VAR(errmsg);
megdnn_assert_contiguous(src);
megdnn_assert(src.ndim == 4_z || src.ndim == 5_z, "%s", errmsg().c_str());
if (src.ndim == 4_z) {
size_t n = src[0], ic = src[1], ih = src[2], iw = src[3];
size_t ph = this->param().pad_h;
size_t pw = this->param().pad_w;
size_t sh = this->param().stride_h;
size_t sw = this->param().stride_w;
size_t dh = this->param().dilate_h;
size_t dw = this->param().dilate_w;
size_t wh = this->param().window_h;
size_t ww = this->param().window_w;
size_t oh, ow;
infer_conv_shape2d(
ih, iw, wh + (wh - 1) * (dh - 1), ww + (ww - 1) * (dw - 1), sh, sw, ph,
pw, oh, ow);
dst = TensorLayout(TensorShape({n, ic, oh, ow, wh, ww}), src.dtype, src.format);
} else if (src.ndim == 5_z) {
size_t n = src[0], ih = src[1], iw = src[3], ic = src[2];
size_t ph = this->param().pad_h;
size_t pw = this->param().pad_w;
size_t sh = this->param().stride_h;
size_t sw = this->param().stride_w;
size_t dh = this->param().dilate_h;
size_t dw = this->param().dilate_w;
size_t wh = this->param().window_h;
size_t ww = this->param().window_w;
size_t oh, ow;
infer_conv_shape2d(
ih, iw, wh + (wh - 1) * (dh - 1), ww + (ww - 1) * (dw - 1), sh, sw, ph,
pw, oh, ow);
dst = TensorLayout(
TensorShape({n, oh, ic, ow, wh, ww, 4}), src.dtype, src.format);
}
}
void Images2NeibsBase::check_layout_fwd(
const TensorLayout& src, const TensorLayout& dst) {
TensorLayout dst_expected;
deduce_layout_fwd(src, dst_expected);
megdnn_assert_eq_layout(dst_expected, dst);
}
void Images2NeibsForward::deduce_layout(const TensorLayout& src, TensorLayout& dst) {
deduce_layout_fwd(src, dst);
}
void Images2NeibsForward::check_exec(
const TensorLayout& src, const TensorLayout& dst, size_t workspace_in_bytes) {
check_layout_fwd(src, dst);
auto required_workspace_in_bytes = get_workspace_in_bytes(src, dst);
megdnn_assert(workspace_in_bytes >= required_workspace_in_bytes);
}
void Images2NeibsBackward::check_exec(
const TensorLayout& diff, const TensorLayout& grad, size_t workspace_in_bytes) {
check_layout_fwd(grad, diff);
auto required_workspace_in_bytes = get_workspace_in_bytes(grad, diff);
megdnn_assert(workspace_in_bytes >= required_workspace_in_bytes);
}
}