megenginelite-sys 1.8.2

A safe megenginelite wrapper in Rust
Documentation 
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/**
 * \file dnn/src/cuda/local/opr_impl.h
 * 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.
 */
#pragma once
#include "megdnn/oprs.h"

#include "src/cuda/cudnn_wrapper.h"

namespace megdnn {
namespace cuda {

class LocalForwardImpl final : public LocalForward {
public:
    using LocalForward::LocalForward;
    void exec(
            _megdnn_tensor_in src, _megdnn_tensor_in filter, _megdnn_tensor_out dst,
            _megdnn_workspace workspace) override;
    size_t get_workspace_in_bytes(
            const TensorLayout& src, const TensorLayout& filter,
            const TensorLayout& dst) override;

private:
    bool use_cuda_convnet(
            const TensorLayout& src, const TensorLayout& filter,
            const TensorLayout& dst);
};

class LocalBackwardDataImpl final : public LocalBackwardData {
public:
    using LocalBackwardData::LocalBackwardData;
    void exec(
            _megdnn_tensor_in filter, _megdnn_tensor_in diff, _megdnn_tensor_out grad,
            _megdnn_workspace workspace) override;
    size_t get_workspace_in_bytes(
            const TensorLayout& filter, const TensorLayout& diff,
            const TensorLayout& grad) override;

private:
    bool use_cuda_convnet(
            const TensorLayout& filter, const TensorLayout& diff,
            const TensorLayout& grad);
};

class LocalBackwardFilterImpl final : public LocalBackwardFilter {
public:
    using LocalBackwardFilter::LocalBackwardFilter;
    void exec(
            _megdnn_tensor_in src, _megdnn_tensor_in diff, _megdnn_tensor_in grad,
            _megdnn_workspace workspace) override;
    size_t get_workspace_in_bytes(
            const TensorLayout& src, const TensorLayout& diff,
            const TensorLayout& grad) override;

private:
    bool use_cuda_convnet(
            const TensorLayout& src, const TensorLayout& diff,
            const TensorLayout& grad);
};

}  // namespace cuda
}  // namespace megdnn

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