megenginelite-sys 1.8.2

A safe megenginelite wrapper in Rust
Documentation 
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/**
 * \file dnn/src/cuda/argmxx/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/argmxx/opr_impl.h"

#include "src/common/argmxx_helper.h"
#include "src/common/reduce_helper_device.h"
#include "src/cuda/reduce_helper.cuh"
#include "src/cuda/utils.h"

namespace {

using namespace megdnn;
using namespace cuda;
using namespace argmxx;

template <typename T, bool is_max>
size_t get_workspace_in_bytes_impl(
        const TensorLayout& src, const TensorLayout& /* dst */, size_t axis) {
    size_t A, B, C;
    reduce::get_ABC(src, A, B, C, axis);
    return get_reduce_workspace_in_bytes<argmxx::ArgmxxOp<T, is_max>>(A, B, C);
}

template <typename T, bool is_max>
void exec_impl(
        const T* src, int* dst, void* workspace, size_t A, size_t B, size_t C,
        cudaStream_t stream) {
    argmxx::ArgmxxOp<T, is_max> opr(const_cast<T*>(src), dst, A, B, C);
    run_reduce<argmxx::ArgmxxOp<T, is_max>, false>(
            (typename argmxx::ArgmxxOp<T, is_max>::wtype*)workspace, A, B, C, stream,
            opr);
    after_kernel_launch();
}

}  // anonymous namespace

namespace megdnn {
namespace cuda {

size_t ArgmaxForwardImpl::get_workspace_in_bytes(
        const TensorLayout& src, const TensorLayout& dst) {
#define cb(DType)                                                                \
    if (src.dtype == DType()) {                                                  \
        using ctype = typename DTypeTrait<DType>::ctype;                         \
        return get_workspace_in_bytes_impl<ctype, true>(src, dst, param().axis); \
    }
    MEGDNN_FOREACH_COMPUTING_DTYPE(cb)
#undef cb
    megdnn_assert_internal(false);
}

void ArgmaxForwardImpl::exec(
        _megdnn_tensor_in src, _megdnn_tensor_out dst, _megdnn_workspace workspace) {
    check_exec(src.layout, dst.layout, workspace.size);
    size_t A, B, C;
    reduce::get_ABC(src.layout, A, B, C, param().axis);
    auto stream = cuda_stream(handle());
#define cb(DType)                                                                  \
    if (src.layout.dtype.enumv() == DTypeTrait<DType>::enumv) {                    \
        using ctype = typename DTypeTrait<DType>::ctype;                           \
        exec_impl<ctype, true>(                                                    \
                src.ptr<ctype>(), dst.ptr<dt_int32>(), workspace.raw_ptr, A, B, C, \
                stream);                                                           \
    }
    MEGDNN_FOREACH_COMPUTING_DTYPE(cb)

#undef cb
}

size_t ArgminForwardImpl::get_workspace_in_bytes(
        const TensorLayout& src, const TensorLayout& dst) {
#define cb(DType)                                                                 \
    if (src.dtype == DType()) {                                                   \
        using ctype = typename DTypeTrait<DType>::ctype;                          \
        return get_workspace_in_bytes_impl<ctype, false>(src, dst, param().axis); \
    }
    MEGDNN_FOREACH_COMPUTING_DTYPE(cb)
#undef cb
    megdnn_assert_internal(false);
}

void ArgminForwardImpl::exec(
        _megdnn_tensor_in src, _megdnn_tensor_out dst, _megdnn_workspace workspace) {
    check_exec(src.layout, dst.layout, workspace.size);
    size_t A, B, C;
    reduce::get_ABC(src.layout, A, B, C, param().axis);
    auto stream = cuda_stream(handle());
#define cb(DType)                                                                  \
    if (src.layout.dtype.enumv() == DTypeTrait<DType>::enumv) {                    \
        using ctype = typename DTypeTrait<DType>::ctype;                           \
        exec_impl<ctype, false>(                                                   \
                src.ptr<ctype>(), dst.ptr<dt_int32>(), workspace.raw_ptr, A, B, C, \
                stream);                                                           \
    }
    MEGDNN_FOREACH_COMPUTING_DTYPE(cb)

#undef cb
}

}  // namespace cuda
}  // namespace megdnn

// vim: syntax=cpp.doxygen