// 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 n = 2; // Batch size
    const int64_t c = 1; // Number of channels
    const int64_t h = 3; // Height
    const int64_t w = 4; // Width

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

        graph->set_name("softmax_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 p = std::make_shared<hipdnn_frontend::graph::TensorAttributes>(
            hipdnn_frontend::graph::Tensor_attributes()
                .set_name("p")
                .set_dim({n, c, h, w})
                .set_stride({c * h * w, h * w, w, 1}));

        auto softmaxAttributes
            = hipdnn_frontend::graph::SoftmaxAttributes().set_name("softmax_node").set_axis(3);

        auto s = graph->softmax(p, softmaxAttributes);
        s->set_output(true);

        HIPDNN_FE_CHECK(graph->build(handle));

        return std::make_tuple(graph, p, s);
    };

    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, p, s] = buildSoftmaxGraph(handle);

    hipdnn_data_sdk::utilities::Tensor<InputType> pTensor(p->get_dim(), p->get_stride());
    hipdnn_data_sdk::utilities::Tensor<InputType> sTensor(s->get_dim(), s->get_stride());

    std::unordered_map<int64_t, void*> variantPack;
    variantPack[p->get_uid()] = pTensor.memory().deviceData();
    variantPack[s->get_uid()] = sTensor.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 << "Softmax graph execution complete.\n";

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