/**
 * \file dnn/src/cuda/convolution3d/helper.cpp
 * MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
 *
 * Copyright (c) 2014-2020 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 "./helper.h"

using namespace megdnn;
using namespace cuda;
using namespace convolution3d;

bool convolution3d::is_cudnn_supported(const ForwardSizeArgs &args) {
    if (args.handle->is_tegra_k1())
        return false;
    
    if (args.src_layout->dtype.category() != DTypeCategory::FLOAT)
        return false;

    if (args.filter_meta.format != param::Convolution3D::Format::NCDHW)
        return false;
    auto& fm = args.filter_meta;
    return
#if CUDNN_MAJOR >= 7
            true
#else
            fm.group == 1
#endif
            && fm.spatial_ndim == 3; 
}

void convolution3d::flip_filter(const ForwardSizeArgs &args,
        const Workspace &workspace, void *&raw_ptr) {
    auto &&fm = args.filter_meta;
    megdnn_assert(fm.group == 1 && fm.spatial_ndim == 3);
    auto OC = fm.ocpg, IC = fm.icpg, FD = fm.spatial[0], FH = fm.spatial[1], FW = fm.spatial[2];
    auto dtype = DType::from_enum(fm.dtype_enum);
    megdnn_assert(workspace.size >= dtype.size() * OC * IC * FD * FH * FW);
    TensorND src{raw_ptr, {{OC, IC, FD, FH, FW}, dtype}},
             dst{workspace.raw_ptr + (FD * FH * FW - 1) * dtype.size(), src.layout};
    dst.layout.stride[2] = -dst.layout.stride[2];
    dst.layout.stride[3] = -dst.layout.stride[3];
    dst.layout.stride[4] = -dst.layout.stride[4];
    args.handle->relayout_opr()->exec(src, dst);
    raw_ptr = workspace.raw_ptr;
}

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