/**
 * \file dnn/src/rocm/convolution/forward/chanwise.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 "./algo.h"
#include "src/rocm/utils.h"
#include "src/rocm/convolution/chanwise/kern.h.hip"

using namespace megdnn;
using namespace rocm;
using namespace convolution;

bool ConvolutionForwardImpl::AlgoChanwise::is_available(
        const SizeArgs& args) const {
    auto&& fm = args.filter_meta;
    return args.filter_meta.format == Param::Format::NCHW &&
           args.src_layout->dtype.category() == DTypeCategory::FLOAT &&
           args.opr->param().compute_mode != Param::ComputeMode::FLOAT32 &&
           fm.spatial_ndim == 2 && fm.icpg == 1 && fm.dilation[0] == 1 &&
           fm.dilation[1] == 1 && !fm.should_flip;
}

size_t ConvolutionForwardImpl::AlgoChanwise::get_workspace_in_bytes(
        const SizeArgs&) const {
    return 0;
}

void ConvolutionForwardImpl::AlgoChanwise::exec(const ExecArgs& args) const {
    auto kparam = chanwise::Param::from_fwd_args(args);
    auto stream = hip_stream(args.handle);
    switch (args.src_layout->dtype.enumv()) {
#define cb(_dt)                                                               \
    case DTypeTrait<_dt>::enumv: {                                            \
        using ctype = DTypeTrait<_dt>::ctype;                                 \
        return chanwise::run_fwd(                                             \
                args.dst_tensor->ptr<ctype>(), args.src_tensor->ptr<ctype>(), \
                args.filter_tensor->ptr<ctype>(), kparam, stream);            \
    }
        MEGDNN_FOREACH_COMPUTING_DTYPE_FLOAT(cb)
#undef cb
        default:
            break;
    }
    megdnn_assert_internal(0);
}

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