| /* |
| * 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 "../include/ckw/KernelWriterHelper.h" |
| #include "ckw/TensorTileSampler.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; |
| } |