#include "./algo.h"
#include "./inplace_matmul_impl.cuh"
using namespace megdnn;
using namespace cuda;
bool Convolution3DForwardImpl::AlgoInplaceMatmul::is_available(
const SizeArgs& args) const {
auto&& fm = args.filter_meta;
return args.filter_meta.format == Param::Format::NCDHW &&
args.src_layout->dtype == dtype::Float32() && fm.group == 1 &&
fm.spatial_ndim == 3;
}
size_t Convolution3DForwardImpl::AlgoInplaceMatmul::get_workspace_in_bytes(
const SizeArgs&) const {
return 0;
}
void Convolution3DForwardImpl::AlgoInplaceMatmul::exec(const ExecArgs& args) const {
auto&& fm = args.filter_meta;
size_t N = args.src_layout->shape[0], IC = fm.icpg, ID = args.src_layout->shape[2],
IH = args.src_layout->shape[3], IW = args.src_layout->shape[4], OC = fm.ocpg,
OD = args.dst_layout->shape[2], OH = args.dst_layout->shape[3],
OW = args.dst_layout->shape[4], FD = fm.spatial[0], FH = fm.spatial[1],
FW = fm.spatial[2], DD = fm.dilation[0], DH = fm.dilation[1],
DW = fm.dilation[2];
auto stream = args.handle->stream();
convolution3d::exec_inplace_matmul_fwd(
args.src_tensor->ptr<dt_float32>(), args.filter_tensor->ptr<dt_float32>(),
args.dst_tensor->ptr<dt_float32>(), N, args.src_layout->stride[0],
args.dst_layout->stride[0], IC, ID, IH, IW, OC, OD, OH, OW, FD, FH, FW,
fm.padding[0], fm.padding[1], fm.padding[2], fm.stride[0], fm.stride[1],
fm.stride[2], DD, DH, DW, !fm.should_flip, stream);
}