/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * License); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * AS IS BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */

/*
 * Parts of the following code in this file refs to
 * https://github.com/Tencent/ncnn/tree/master/src/layer/vulkan/
 * Tencent is pleased to support the open source community by making ncnn
 * available.
 *
 * Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
 *
 * Licensed under the BSD 3-Clause License (the "License"); you may not use this
 * file except in compliance with the License. You may obtain a copy of the
 * License at
 *
 * https://opensource.org/licenses/BSD-3-Clause
 */

/*
 * Copyright (c) 2020, Open AI Lab
 * Author: ddzhao@openailab.com
 */

#include "flatten_vulkan.hpp"
#include "../layer_shader_type.h"

namespace TEngine {

Flatten_vulkan::Flatten_vulkan()
{
    support_vulkan = true;
    support_image_storage = false;

    pipeline_flatten = 0;
    pipeline_flatten_pack4 = 0;
    pipeline_flatten_pack1to4 = 0;
    pipeline_flatten_pack8 = 0;
    pipeline_flatten_pack1to8 = 0;
    pipeline_flatten_pack4to8 = 0;
}

Flatten_vulkan::Flatten_vulkan(ir_graph_t* ir_graph, ir_node_t* ir_node)
{
    support_vulkan = true;
    support_image_storage = true;

    pipeline_flatten = 0;
    pipeline_flatten_pack4 = 0;
    pipeline_flatten_pack1to4 = 0;
    pipeline_flatten_pack8 = 0;
    pipeline_flatten_pack1to8 = 0;
    pipeline_flatten_pack4to8 = 0;

    graph = ir_graph;
    node = ir_node;

    struct tensor* input = get_ir_graph_tensor(graph, node->input_tensors[0]);
    std::string name = input->name;
    bottoms.push_back(name);

    struct tensor* output = get_ir_graph_tensor(graph, node->output_tensors[0]);
    name = output->name;
    tops.push_back(name);

    // params
    input_c = input->dims[1]; // param->input_channel;
    input_h = input->dims[2];
    input_w = input->dims[3];
    output_c = output->dims[1]; // param->output_channel;
    output_h = output->dims[2];
    output_w = output->dims[3];
    output_size = output->dims[3] * output->dims[2] * output->dims[1];
}

int Flatten_vulkan::create_pipeline(const Option& _opt)
{
    Option opt = _opt;
    const Tensor& shape = Tensor(input_w, input_h, input_c, (void*)0); // bottom_shapes.empty() ? Mat() : bottom_shapes[0];
    // const Tensor& out_shape = Tensor(output_w, output_h, output_c, (void*)0); // top_shapes.empty() ? Mat() : top_shapes[0];
    const Tensor& out_shape = Tensor(output_size, (void*)0); // top_shapes.empty() ? Mat() : top_shapes[0];

    int elempack = 1;
    if (shape.dims == 1) elempack = opt.use_shader_pack8 && shape.w % 8 == 0 ? 8 : shape.w % 4 == 0 ? 4
                                                                                                    : 1;
    if (shape.dims == 2) elempack = opt.use_shader_pack8 && shape.h % 8 == 0 ? 8 : shape.h % 4 == 0 ? 4
                                                                                                    : 1;
    if (shape.dims == 3) elempack = opt.use_shader_pack8 && shape.c % 8 == 0 ? 8 : shape.c % 4 == 0 ? 4
                                                                                                    : 1;

    int out_elempack = 1;
    if (out_shape.dims == 1) out_elempack = opt.use_shader_pack8 && out_shape.w % 8 == 0 ? 8 : out_shape.w % 4 == 0 ? 4
                                                                                                                    : 1;

    size_t elemsize;
    size_t out_elemsize;
    if (opt.use_fp16_storage)
    {
        elemsize = elempack * 2u;
        out_elemsize = out_elempack * 2u;
    }
    else if (opt.use_fp16_packed)
    {
        elemsize = elempack == 1 ? 4u : elempack * 2u;
        out_elemsize = out_elempack == 1 ? 4u : out_elempack * 2u;
    }
    else
    {
        elemsize = elempack * 4u;
        out_elemsize = out_elempack * 4u;
    }

    Tensor shape_packed;
    if (shape.dims == 1) shape_packed = Tensor(shape.w / elempack, (void*)0, elemsize, elempack);
    if (shape.dims == 2) shape_packed = Tensor(shape.w, shape.h / elempack, (void*)0, elemsize, elempack);
    if (shape.dims == 3) shape_packed = Tensor(shape.w, shape.h, shape.c / elempack, (void*)0, elemsize, elempack);

    Tensor out_shape_packed;
    if (out_shape.dims == 1) out_shape_packed = Tensor(out_shape.w / out_elempack, (void*)0, out_elemsize, out_elempack);

    // if (!vkdev->shape_support_image_storage(shape_packed) || !vkdev->shape_support_image_storage(out_shape_packed))
    {
        support_image_storage = false;
        opt.use_image_storage = false;
    }

    std::vector<vk_specialization_type> specializations(0 + 10);
    specializations[0 + 0].i = 0; // shape_packed.dims;
    specializations[0 + 1].i = 0; // shape_packed.w;
    specializations[0 + 2].i = 0; // shape_packed.h;
    specializations[0 + 3].i = 0; // shape_packed.c;
    specializations[0 + 4].i = 0; // shape_packed.cstep;
    specializations[0 + 5].i = 0; // out_shape_packed.dims;
    specializations[0 + 6].i = 0; // out_shape_packed.w;
    specializations[0 + 7].i = 0; // out_shape_packed.h;
    specializations[0 + 8].i = 0; // out_shape_packed.c;
    specializations[0 + 9].i = 0; // out_shape_packed.cstep;

    Tensor local_size_xyz(64, 1, 1, (void*)0);
    if (out_shape_packed.dims != 0)
    {
        local_size_xyz.w = std::min(64, out_shape_packed.w);
        local_size_xyz.h = 1;
        local_size_xyz.c = 1;
    }

    // pack1
    if (shape.dims == 0 || (elempack == 1 && out_elempack == 1))
    {
        pipeline_flatten = new Pipeline(vkdev);
        pipeline_flatten->set_optimal_local_size_xyz(local_size_xyz);
        pipeline_flatten->create(LayerShaderType::flatten, opt, specializations);
    }

    // pack4
    if (shape.dims == 0 || (elempack == 4 && out_elempack == 4))
    {
        pipeline_flatten_pack4 = new Pipeline(vkdev);
        pipeline_flatten_pack4->set_optimal_local_size_xyz(local_size_xyz);
        pipeline_flatten_pack4->create(LayerShaderType::flatten_pack4, opt, specializations);
    }

    // pack1to4
    if (shape.dims == 0 || (elempack == 1 && out_elempack == 4))
    {
        pipeline_flatten_pack1to4 = new Pipeline(vkdev);
        pipeline_flatten_pack1to4->set_optimal_local_size_xyz(local_size_xyz);
        pipeline_flatten_pack1to4->create(LayerShaderType::flatten_pack1to4, opt, specializations);
    }

    // pack8
    if ((opt.use_shader_pack8 && shape.dims == 0) || (elempack == 8 && out_elempack == 8))
    {
        pipeline_flatten_pack8 = new Pipeline(vkdev);
        pipeline_flatten_pack8->set_optimal_local_size_xyz(local_size_xyz);
        pipeline_flatten_pack8->create(LayerShaderType::flatten_pack8, opt, specializations);
    }

    // pack1to8
    if ((opt.use_shader_pack8 && shape.dims == 0) || (elempack == 1 && out_elempack == 8))
    {
        pipeline_flatten_pack1to8 = new Pipeline(vkdev);
        pipeline_flatten_pack1to8->set_optimal_local_size_xyz(local_size_xyz);
        pipeline_flatten_pack1to8->create(LayerShaderType::flatten_pack1to8, opt, specializations);
    }

    // pack4to8
    if ((opt.use_shader_pack8 && shape.dims == 0) || (elempack == 4 && out_elempack == 8))
    {
        pipeline_flatten_pack4to8 = new Pipeline(vkdev);
        pipeline_flatten_pack4to8->set_optimal_local_size_xyz(local_size_xyz);
        pipeline_flatten_pack4to8->create(LayerShaderType::flatten_pack4to8, opt, specializations);
    }

    return 0;
}

int Flatten_vulkan::destroy_pipeline(const Option& /*opt*/)
{
    delete pipeline_flatten;
    pipeline_flatten = 0;

    delete pipeline_flatten_pack4;
    pipeline_flatten_pack4 = 0;

    delete pipeline_flatten_pack1to4;
    pipeline_flatten_pack1to4 = 0;

    delete pipeline_flatten_pack8;
    pipeline_flatten_pack8 = 0;

    delete pipeline_flatten_pack1to8;
    pipeline_flatten_pack1to8 = 0;

    delete pipeline_flatten_pack4to8;
    pipeline_flatten_pack4to8 = 0;

    return 0;
}

int Flatten_vulkan::record_pipeline(const VkTensor& bottom_blob, VkTensor& top_blob, VkCompute& cmd, const Option& opt) const
{
    int dims = bottom_blob.dims;

    if (dims == 1)
    {
        top_blob = bottom_blob;
        return 0;
    }

    int w = bottom_blob.w;
    int h = bottom_blob.h;
    int channels = bottom_blob.c;
    size_t elemsize = bottom_blob.elemsize;
    int elempack = bottom_blob.elempack;

    int total = w * h * channels * elempack;

    int out_elempack = opt.use_shader_pack8 && total % 8 == 0 ? 8 : total % 4 == 0 ? 4
                                                                                   : 1;
    size_t out_elemsize = elemsize / elempack * out_elempack;

    if (opt.use_fp16_packed && !opt.use_fp16_storage)
    {
        if (out_elempack == 8) out_elemsize = 8 * 2u;
        if (out_elempack == 4) out_elemsize = 4 * 2u;
        if (out_elempack == 1) out_elemsize = 4u;
    }

    if (dims == 2 && elempack == 1 && !(opt.use_fp16_packed && !opt.use_fp16_storage && out_elempack != 1))
    {
        top_blob = bottom_blob;
        top_blob.dims = 1;
        top_blob.w = total / out_elempack;
        top_blob.h = 1;
        top_blob.cstep = top_blob.w;
        top_blob.elemsize = out_elemsize;
        top_blob.elempack = out_elempack;
        return 0;
    }

    top_blob.create(total / out_elempack, out_elemsize, out_elempack, opt.blob_vkallocator);
    if (top_blob.empty())
        return -100;

    std::vector<VkTensor> bindings(2);
    bindings[0] = bottom_blob;
    bindings[1] = top_blob;

    std::vector<vk_constant_type> constants(10);
    constants[0].i = bottom_blob.dims;
    constants[1].i = bottom_blob.w;
    constants[2].i = bottom_blob.h;
    constants[3].i = bottom_blob.c;
    constants[4].i = bottom_blob.cstep;
    constants[5].i = top_blob.dims;
    constants[6].i = top_blob.w;
    constants[7].i = top_blob.h;
    constants[8].i = top_blob.c;
    constants[9].i = top_blob.cstep;

    const Pipeline* pipeline = 0;
    if (elempack == 1 && out_elempack == 1)
    {
        pipeline = pipeline_flatten;
    }
    else if (elempack == 4 && out_elempack == 4)
    {
        pipeline = pipeline_flatten_pack4;
    }
    else if (elempack == 1 && out_elempack == 4)
    {
        pipeline = pipeline_flatten_pack1to4;
    }
    else if (elempack == 8 /*&& out_elempack == 8*/)
    {
        pipeline = pipeline_flatten_pack8;
    }
    else if (elempack == 1 && out_elempack == 8)
    {
        pipeline = pipeline_flatten_pack1to8;
    }
    else if (elempack == 4 && out_elempack == 8)
    {
        pipeline = pipeline_flatten_pack4to8;
    }

    cmd.record_pipeline(pipeline, bindings, constants, top_blob);

    return 0;
}

} // namespace TEngine