// Copyright (C) 2018-2020 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//

#pragma once

#include <ie_common.h>
#include <mkldnn_node.h>
#include <memory>
#include <string>
#include <vector>

namespace MKLDNNPlugin {

class MKLDNNBinaryConvolutionNode : public MKLDNNNode {
public:
    MKLDNNBinaryConvolutionNode(const InferenceEngine::CNNLayerPtr& layer, const mkldnn::engine& eng, MKLDNNWeightsSharing::Ptr &cache);
    ~MKLDNNBinaryConvolutionNode() override = default;

    void getSupportedDescriptors() override;
    void createDescriptor(const std::vector<InferenceEngine::TensorDesc>& inputDesc,
                          const std::vector<InferenceEngine::TensorDesc>& outputDesc) override;
    void initDescriptor(const InferenceEngine::LayerConfig& config) override;
    void createPrimitive() override;
    void initSupportedPrimitiveDescriptors() override;
    bool created() const override;
    bool canBeInPlace() const override {
        return false;
    }
    void setPostOps(mkldnn::primitive_attr &attr, bool initWeights);

private:
    bool withSum = false;
    bool withBinarization = false;
    bool withDWConv = false;
    bool isDW = false;
    bool isMerged = false;
    bool isGrouped = false;
    std::vector<ptrdiff_t> stride;
    std::vector<ptrdiff_t> dilation;
    std::vector<ptrdiff_t> paddingL;
    std::vector<ptrdiff_t> paddingR;
    InferenceEngine::SizeVector weightDims;
    InferenceEngine::SizeVector biasesDims;

    ptrdiff_t dw_conv_oc = 0;
    ptrdiff_t dw_conv_ih = 0;
    ptrdiff_t dw_conv_iw = 0;
    std::vector<ptrdiff_t> dw_conv_kernel;
    std::vector<ptrdiff_t> dw_conv_strides;
    mkldnn::memory::data_type dw_conv_in_dt = mkldnn::memory::data_type::data_undef;
    std::vector<MKLDNNMemoryPtr> PostOpsIntBlobMemory;

    int baseInputsNumber;

    float pad_value = 0.f;
};

}  // namespace MKLDNNPlugin

