// Copyright © Advanced Micro Devices, Inc., or its affiliates.
// SPDX-License-Identifier:  MIT

#include <iostream>

#include "utils.hpp"

#include <hipdnn_data_sdk/utilities/Tensor.hpp>
#include <hipdnn_data_sdk/utilities/Workspace.hpp>
#include <hipdnn_frontend.hpp>

int main()
{
    using InputType = float;

    const int64_t n0 = 2;
    const int64_t n1 = 4;
    const int64_t n2 = 8;

    auto buildRopeBackwardGraph = [=](hipdnnHandle_t handle) {
        auto graph = std::make_shared<hipdnn_frontend::graph::Graph>();

        graph->set_name("rope_backward_graph")
            .set_io_data_type(hipdnn_frontend::getDataTypeEnumFromType<InputType>())
            .set_intermediate_data_type(hipdnn_frontend::getDataTypeEnumFromType<InputType>())
            .set_compute_data_type(hipdnn_frontend::DataType::FLOAT);

        auto dy = std::make_shared<hipdnn_frontend::graph::TensorAttributes>(
            hipdnn_frontend::graph::Tensor_attributes()
                .set_name("dy")
                .set_dim({n0, n1, n2})
                .set_stride({n1 * n2, n2, 1}));

        auto cos = std::make_shared<hipdnn_frontend::graph::TensorAttributes>(
            hipdnn_frontend::graph::Tensor_attributes()
                .set_name("cos")
                .set_dim({n0, n1, n2})
                .set_stride({n1 * n2, n2, 1}));

        auto sin = std::make_shared<hipdnn_frontend::graph::TensorAttributes>(
            hipdnn_frontend::graph::Tensor_attributes()
                .set_name("sin")
                .set_dim({n0, n1, n2})
                .set_stride({n1 * n2, n2, 1}));

        auto ropeBackwardAttributes
            = hipdnn_frontend::graph::RopeBackwardAttributes().set_name("rope_backward");

        auto dx = graph->rope_backward(dy, cos, sin, ropeBackwardAttributes);
        dx->set_output(true).set_dim({n0, n1, n2}).set_stride({n1 * n2, n2, 1});

        // build graph
        HIPDNN_FE_CHECK(graph->build(handle));

        return std::make_tuple(graph, dy, cos, sin, dx);
    };

    auto backend = hipdnn_frontend::detail::hipdnnBackend();
    if(!backend)
    {
        std::cout << "Create backend failed.\n";
        return 1;
    }

    hipdnnHandle_t handle;
    HIPDNN_CHECK(backend->create(&handle));

    auto [graph, dy, cos, sin, dx] = buildRopeBackwardGraph(handle);

    hipdnn_data_sdk::utilities::Tensor<InputType> dyTensor(dy->get_dim(), dy->get_stride());
    hipdnn_data_sdk::utilities::Tensor<InputType> cosTensor(cos->get_dim(), cos->get_stride());
    hipdnn_data_sdk::utilities::Tensor<InputType> sinTensor(sin->get_dim(), sin->get_stride());
    hipdnn_data_sdk::utilities::Tensor<InputType> dxTensor(dx->get_dim(), dx->get_stride());

    std::unordered_map<int64_t, void*> variantPack;
    variantPack[dy->get_uid()] = dyTensor.memory().deviceData();
    variantPack[cos->get_uid()] = cosTensor.memory().deviceData();
    variantPack[sin->get_uid()] = sinTensor.memory().deviceData();
    variantPack[dx->get_uid()] = dxTensor.memory().deviceData();

    int64_t workspaceSize = 0;
    HIPDNN_FE_CHECK(graph->get_workspace_size(workspaceSize));
    const hipdnn_data_sdk::utilities::Workspace workspace(static_cast<size_t>(workspaceSize));

    HIPDNN_FE_CHECK(graph->execute(handle, variantPack, workspace.get()));

    std::cout << "RopeBackward graph execution complete.\n";

    HIPDNN_CHECK(backend->destroy(handle));
    return 0;
}