opr_impl.cpp

/**
 * \file dnn/src/cuda/padding/opr_impl.cpp
 * MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
 *
 * Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or
 * implied.
 */
#include "src/cuda/padding/opr_impl.h"
#include "src/common/utils.h"
#include "src/cuda/handle.h"
#include "src/cuda/padding/padding.cuh"
#include "src/cuda/utils.h"

namespace megdnn {
namespace cuda {

void PaddingForwardImpl::exec(_megdnn_tensor_in src, _megdnn_tensor_out dst) {
    forward_check_exec(src.layout, dst.layout);
    SmallVector<size_t> offsets(get_offsets());
    // SamllVector can not be used as argument in cu file
    size_t param_offsets[MEGDNN_MAX_NDIM * 2] = {
            offsets[0],  offsets[1],  offsets[2],  offsets[3], offsets[4],
            offsets[5],  offsets[6],  offsets[7],  offsets[8], offsets[9],
            offsets[10], offsets[11], offsets[12], offsets[13]};
    auto stream = cuda_stream(this->handle());
#define cb(DType)                                                             \
    if (src.layout.dtype.enumv() == DTypeTrait<DType>::enumv) {               \
        using ctype = typename DTypeTrait<DType>::ctype;                      \
        padding::padding_forward_proxy<ctype>(src, dst, param_offsets,        \
                                              uint32_t(param().padding_mode), \
                                              param().padding_val, stream);   \
    }
    MEGDNN_FOREACH_COMPUTING_DTYPE(cb)
#undef cb
}

void PaddingBackwardImpl::exec(_megdnn_tensor_in src, _megdnn_tensor_out dst) {
    backward_check_exec(src.layout, dst.layout);
    SmallVector<size_t> offsets(get_offsets());
    // SamllVector can not be used as argument in cu file
    size_t param_offsets[MEGDNN_MAX_NDIM * 2] = {
            offsets[0],  offsets[1],  offsets[2],  offsets[3], offsets[4],
            offsets[5],  offsets[6],  offsets[7],  offsets[8], offsets[9],
            offsets[10], offsets[11], offsets[12], offsets[13]};
    auto stream = cuda_stream(this->handle());
#define cb(DType)                                                              \
    if (src.layout.dtype.enumv() == DTypeTrait<DType>::enumv) {                \
        using ctype = typename DTypeTrait<DType>::ctype;                       \
        padding::padding_backward_proxy<ctype>(src, dst, param_offsets,        \
                                               uint32_t(param().padding_mode), \
                                               stream);                        \
    }
    MEGDNN_FOREACH_COMPUTING_DTYPE_FLOAT(cb)
#undef cb
}

size_t PaddingForwardImpl::get_workspace_in_bytes(const TensorLayout& src,
                                                  const TensorLayout& dst) {
    return 0;
}

size_t PaddingBackwardImpl::get_workspace_in_bytes(const TensorLayout& src,
                                                   const TensorLayout& dst) {
    return 0;
}
}  // namespace cuda
}  // namespace megdnn