megenginelite-sys 1.8.2

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

#include "src/common/roi_pooling_helper.h"
#include "src/cuda/roi_pooling/roi_pooling.cuh"
#include "src/cuda/utils.h"

namespace megdnn {
namespace cuda {

void ROIPoolingForwardImpl::exec(
        _megdnn_tensor_in src, _megdnn_tensor_in rois, _megdnn_tensor_out dst,
        _megdnn_tensor_out index, _megdnn_workspace workspace) {
    check_exec(src.layout, rois.layout, dst.layout, index.layout, workspace.size);
    auto stream = cuda_stream(handle());
    auto nthreads = dst.layout.total_nr_elems();
    auto spatial_scale = m_param.scale;
    auto channels = src.layout.shape[1];
    auto height = src.layout.shape[2];
    auto width = src.layout.shape[3];
    auto pooled_height = dst.layout.shape[2];
    auto pooled_width = dst.layout.shape[3];
    using namespace ::megdnn::roi_pooling;
    using namespace ::megdnn::cuda::roi_pooling;
#define cb(DType)                                                                \
    if (src.layout.dtype == DType()) {                                           \
        using T = typename DTypeTrait<DType>::ctype;                             \
        switch (param().mode) {                                                  \
            case param::ROIPooling::Mode::MAX:                                   \
                forward_proxy<T, MaxPooler<T>>(                                  \
                        nthreads, src.ptr<T>(), spatial_scale, channels, height, \
                        width, pooled_height, pooled_width, rois.ptr<T>(),       \
                        dst.ptr<T>(), index.ptr<dt_int32>(), stream);            \
                break;                                                           \
            case param::ROIPooling::Mode::AVERAGE:                               \
                forward_proxy<T, AveragePooler<T>>(                              \
                        nthreads, src.ptr<T>(), spatial_scale, channels, height, \
                        width, pooled_height, pooled_width, rois.ptr<T>(),       \
                        dst.ptr<T>(), index.ptr<dt_int32>(), stream);            \
                break;                                                           \
            default:                                                             \
                megdnn_assert_internal(false);                                   \
        }                                                                        \
    }
    MEGDNN_FOREACH_COMPUTING_DTYPE_FLOAT(cb)
#undef cb
}

void ROIPoolingBackwardImpl::exec(
        _megdnn_tensor_in diff, _megdnn_tensor_in src, _megdnn_tensor_in rois,
        _megdnn_tensor_in index, _megdnn_tensor_out grad, _megdnn_workspace workspace) {
    check_exec(
            diff.layout, src.layout, rois.layout, index.layout, grad.layout,
            workspace.size);
    auto stream = cuda_stream(handle());
    auto nthreads = grad.layout.total_nr_elems();
    auto num_rois = rois.layout.shape[0];
    auto spatial_scale = m_param.scale;
    auto channels = src.layout.shape[1];
    auto height = src.layout.shape[2];
    auto width = src.layout.shape[3];
    auto pooled_height = diff.layout.shape[2];
    auto pooled_width = diff.layout.shape[3];
    using namespace ::megdnn::roi_pooling;
    using namespace ::megdnn::cuda::roi_pooling;
#define cb(DType)                                                                 \
    if (src.layout.dtype == DType()) {                                            \
        using T = typename DTypeTrait<DType>::ctype;                              \
        switch (param().mode) {                                                   \
            case param::ROIPooling::Mode::MAX:                                    \
                roi_pooling::backward_proxy<T, BwdMaxPooler<T>>(                  \
                        nthreads, diff.ptr<T>(), index.ptr<dt_int32>(), num_rois, \
                        spatial_scale, channels, height, width, pooled_height,    \
                        pooled_width, grad.ptr<T>(), rois.ptr<T>(), stream);      \
                break;                                                            \
            case param::ROIPooling::Mode::AVERAGE:                                \
                roi_pooling::backward_proxy<T, BwdAveragePooler<T>>(              \
                        nthreads, diff.ptr<T>(), index.ptr<dt_int32>(), num_rois, \
                        spatial_scale, channels, height, width, pooled_height,    \
                        pooled_width, grad.ptr<T>(), rois.ptr<T>(), stream);      \
                break;                                                            \
            default:                                                              \
                megdnn_assert_internal(false);                                    \
        }                                                                         \
    }
    MEGDNN_FOREACH_COMPUTING_DTYPE_FLOAT(cb)
#undef cb
}

}  // namespace cuda
}  // namespace megdnn
// vim: syntax=cpp.doxygen