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-rw-r--r--compute_kernel_writer/prototype/examples/add_exp_store.cpp206
1 files changed, 0 insertions, 206 deletions
diff --git a/compute_kernel_writer/prototype/examples/add_exp_store.cpp b/compute_kernel_writer/prototype/examples/add_exp_store.cpp
deleted file mode 100644
index 2b640ca01b..0000000000
--- a/compute_kernel_writer/prototype/examples/add_exp_store.cpp
+++ /dev/null
@@ -1,206 +0,0 @@
-/*
- * 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/Error.h"
-#include "ckw/KernelArgument.h"
-#include "ckw/KernelWriter.h"
-#include "ckw/TensorOperand.h"
-#include "ckw/TensorTileSampler.h"
-#include "ckw/TileOperand.h"
-
-#include "common/ExampleComponentArgument.h"
-#include "common/ExampleKernelWriter.h"
-#include "common/ExampleScopedKernelWriter.h"
-#include <iostream>
-#include <vector>
-
-using namespace ckw;
-
-TensorTileSampler create_simple_sampler(ExampleScopedKernelWriter writer)
-{
- TensorTileSampler sampler;
-
- constexpr int32_t m0 = 4;
- constexpr int32_t n0 = 4;
-
- 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(const_0);
- sampler.b(gid_2);
-
- 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;
-}
-
-void op_binary_elementwise(ExampleScopedKernelWriter writer, std::vector<ExampleComponentArgument *> operands)
-{
- auto lhs = operands.at(0);
- auto rhs = operands.at(1);
- auto dst = operands.at(2);
-
- // Load the LHS and RHS tile and prepare the tensor sampler.
- if (!lhs->has_tile() && !rhs->has_tile())
- {
- const auto sampler = create_simple_sampler(writer);
-
- writer->op_load_once(lhs, sampler);
- writer->op_load_once(rhs, sampler);
- }
- else if (lhs->has_tile())
- {
- const auto &sampler = lhs->tile_sampler();
- writer->op_load_once(rhs, sampler);
- }
- else
- {
- const auto &sampler = rhs->tile_sampler();
- writer->op_load_once(lhs, sampler);
- }
-
- auto &lhs_tile = lhs->tile();
- auto &rhs_tile = rhs->tile();
- const auto &sampler = lhs->tile_sampler();
-
- // Prepare the output tile.
- if (!dst->has_tile())
- {
- auto &tile = writer->declare_tile("dst_tile", lhs_tile.tile_info());
- dst->init_virtual_tensor(tile, sampler);
- }
-
- auto &dst_tile = dst->tile();
-
- // Perform the operation.
- writer->op_binary_expression(dst_tile, lhs_tile, BinaryOp::Add, rhs_tile);
-}
-
-void op_exp(ExampleScopedKernelWriter writer, std::vector<ExampleComponentArgument *> operands)
-{
- auto src = operands.at(0);
- auto dst = operands.at(1);
-
- // Load the source tile and prepare the sampler.
- if (!src->has_tile())
- {
- const auto sampler = create_simple_sampler(writer);
- writer->op_load_once(src, sampler);
- }
-
- auto &src_tile = src->tile();
- const auto &sampler = src->tile_sampler();
-
- // Prepare the output tile.
- if (!dst->has_tile())
- {
- auto &tile = writer->declare_tile("dst_tile", src_tile.tile_info());
- dst->init_virtual_tensor(tile, sampler);
- }
-
- auto &dst_tile = dst->tile();
-
- // Perform the operation.
- writer->op_unary_elementwise_function(dst_tile, UnaryFunction::Exp, src_tile);
-}
-
-void op_store(ExampleScopedKernelWriter writer, std::vector<ExampleComponentArgument *> operands)
-{
- auto src = operands.at(0);
- auto dst = operands.at(1);
-
- auto &src_tile = src->tile();
- const auto &sampler = src->tile_sampler();
- auto &dst_tensor = dst->tensor();
-
- writer->op_store(dst_tensor, src_tile, sampler);
-}
-
-int main()
-{
- Kernel kernel("example", GpuTargetLanguage::OpenCL);
- ExampleKernelWriter root_writer(kernel);
-
- ExampleScopedKernelWriter writer(&root_writer);
-
- const TensorInfo src0_info(DataType::Fp32, TensorShape({3, 10, 20, 1, 1}), TensorDataLayout::Nhwc, 0);
- const TensorInfo src1_info(DataType::Fp32, TensorShape({3, 10, 20, 1, 1}), TensorDataLayout::Nhwc, 1);
- const TensorInfo dst_info(DataType::Fp32, TensorShape({3, 10, 20, 1, 1}), TensorDataLayout::Nhwc, 2);
-
- ExampleComponentArgument src0(
- writer->declare_tensor_argument("src0", src0_info, TensorStorageType::BufferUint8Ptr));
- ExampleComponentArgument src1(
- writer->declare_tensor_argument("src1", src1_info, TensorStorageType::BufferUint8Ptr));
- ExampleComponentArgument dst(writer->declare_tensor_argument("dst", dst_info, TensorStorageType::BufferUint8Ptr));
-
- ExampleComponentArgument ans;
-
- op_binary_elementwise(writer, {&src0, &src1, &ans});
- op_exp(writer, {&ans, &ans});
- op_store(writer, {&ans, &dst});
-
- const auto arguments = kernel.arguments();
-
- std::cout << "\n====================\nArguments:\n====================\n";
-
- for (auto &arg : arguments)
- {
- switch (arg.type())
- {
- case ckw::KernelArgument::Type::TensorStorage:
- std::cout << "* Tensor storage: ID = " << arg.id() << ", type = " << std::hex << "0x"
- << static_cast<uint32_t>(arg.tensor_storage_type()) << std::dec << "\n";
- break;
-
- case ckw::KernelArgument::Type::TensorComponent:
- std::cout << "* Tensor component: ID = " << arg.id() << ", type = " << std::hex << "0x"
- << static_cast<uint32_t>(arg.tensor_component_type()) << std::dec << "\n";
- break;
-
- default:
- CKW_ASSERT(false);
- }
- }
-
- std::cout << "\n====================\nCode:\n====================\n";
- const auto code = root_writer.generate_code();
- std::cout << code;
-
- return 0;
-}
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-15 14:02:03 +0000