compute_kernel_writer/prototype/examples/writer_helper.cpp

/*
* Copyright (c) 2023 Arm Limited.
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* SPDX-License-Identifier: MIT
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* furnished to do so, subject to the following conditions:
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* The above copyright notice and this permission notice shall be included in all
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#include "ckw/KernelWriter.h"
#include "ckw/TensorTileSampler.h"

#include "../include/ckw/KernelWriterHelper.h"
#include <iostream>

using namespace ckw;

TensorTileSampler create_simple_sampler(KernelWriter &writer)
{
    TensorTileSampler sampler;

    constexpr int32_t m0 = 1;
    constexpr int32_t n0 = 1;

    auto &gid_0 = writer.declare_tile("gid_0", DataType::Int32);
    auto &gid_1 = writer.declare_tile("gid_1", DataType::Int32);
    auto &gid_2 = writer.declare_tile("gid_2", DataType::Int32);

    auto &const_0 = writer.declare_tile("0", 0);

    writer.op_get_global_id(gid_0, 0);
    writer.op_get_global_id(gid_1, 1);
    writer.op_get_global_id(gid_2, 2);

    sampler.x(gid_0);
    sampler.y(gid_1);
    sampler.z(gid_2);
    sampler.b(const_0);

    sampler.width(n0);
    sampler.height(m0);

    sampler.format(TensorSamplerFormat::C_WH_1);
    sampler.address_mode_x(TensorSamplerAddressModeX::None);
    sampler.address_mode_y(TensorSamplerAddressModeY::ClampToBorder);
    sampler.address_mode_z(TensorSamplerAddressModeZ::Skip);

    return sampler;
}

int main()
{
    Kernel                           kernel("test", GpuTargetLanguage::OpenCL);
    KernelWriterHelper<KernelWriter> writer(kernel);

    const TensorInfo src_info(DataType::Fp32, TensorShape({1, 1, 1, 1, 1}), TensorDataLayout::Nhwc, 0);
    const TensorInfo dst_info(DataType::Fp32, TensorShape({1, 1, 1, 1, 1}), TensorDataLayout::Nhwc, 1);

    auto &src_tensor = writer.declare_tensor_argument("src", src_info);
    auto &dst_tensor = writer.declare_tensor_argument("dst", dst_info);

    const auto sampler = create_simple_sampler(writer);

    auto &src = writer.declare_tile("src_tile", TileInfo(src_tensor.data_type(), sampler.height(), sampler.width()));
    auto &other =
        writer.declare_tile("other_tile", TileInfo(src_tensor.data_type(), sampler.height(), sampler.width()));
    auto &dst = writer.declare_tile("dst_tile", TileInfo(src_tensor.data_type(), sampler.height(), sampler.width()));

    writer.op_load(src, src_tensor, sampler);
    writer.op_load(other, src_tensor, sampler);
    writer.op_load(dst, dst_tensor, sampler);

    auto test       = dst ^ src ^ other;
    auto other_test = logical_and(dst, src, other);
    writer.op_assign(dst, logical_and(dst, src, other));
    writer.op_assign(dst, test);
    writer.op_assign(dst, other_test);
    writer.op_assign(dst, operator^(operator^(dst, src), other));

    writer.op_if(exp(src) == dst, [&] { writer.op_binary_expression(dst, src, BinaryOp::Add, src); })
        .op_else_if(exp(src) > dst, [&] { writer.op_binary_expression(dst, src, BinaryOp::Add, src); })
        .op_else([&] { writer.op_assign(dst, src); });

    writer.op_assign(dst, src + src * src);
    writer.op_assign(dst, src * max(src, dst) + src);
    writer.op_assign(dst, src * select(src, dst, src) + src);

    writer.op_assign(dst, src ^ dst);
    writer.op_assign(dst, ~src);

    writer.op_for_loop(dst < src, dst += src, [&] { writer.op_assign(dst, src + dst); });

    writer.op_assign(dst += src);
    writer.op_assign(dst += exp(src));

    std::cout << "======== KERNEL ========" << std::endl;
    std::cout << writer.generate_code() << std::endl;
}