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-rw-r--r--compute_kernel_writer/prototype/examples/writer_helper.cpp113
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diff --git a/compute_kernel_writer/prototype/examples/writer_helper.cpp b/compute_kernel_writer/prototype/examples/writer_helper.cpp
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--- a/compute_kernel_writer/prototype/examples/writer_helper.cpp
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-/*
-* Copyright (c) 2023 Arm Limited.
-*
-* SPDX-License-Identifier: MIT
-*
-* Permission is hereby granted, free of charge, to any person obtaining a copy
-* of this software and associated documentation files (the "Software"), to
-* deal in the Software without restriction, including without limitation the
-* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
-* sell copies of the Software, and to permit persons to whom the Software is
-* furnished to do so, subject to the following conditions:
-*
-* The above copyright notice and this permission notice shall be included in all
-* copies or substantial portions of the Software.
-*
-* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-* SOFTWARE.
-*/
-
-#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;
-}