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authorGunes Bayir <gunes.bayir@arm.com>2024-02-07 15:34:45 +0000
committerGunes Bayir <gunes.bayir@arm.com>2024-02-09 15:59:45 +0000
commit0ee13afc4429411de9a05ba4c2ff8a580784b568 (patch)
treec9ee1acf684d52b92ffb7500b0b65eee8377ce45 /src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateWriter.cpp
parenta3e1b50588b89a2c0c67da2679728a422fc16402 (diff)
downloadComputeLibrary-0ee13afc4429411de9a05ba4c2ff8a580784b568.tar.gz
Remove CKW prototype and Template Writer
Gpu code in dynamic fusion is now written by stable CKW. We do not need CKW protoype and the older writer implementation, i.e. TemplateWriter. It also removes the need for the flag -DACL_INTERNAL_TEST_CKW_IN_DF to compile and test dynamic fusion operator. Resolves: COMPMID-6715 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Change-Id: I9f9453311e79d9be612bd4754240d832f98503e8 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11116 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateWriter.cpp')
-rw-r--r--src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateWriter.cpp325
1 files changed, 0 insertions, 325 deletions
diff --git a/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateWriter.cpp b/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateWriter.cpp
deleted file mode 100644
index d3d7c8db83..0000000000
--- a/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateWriter.cpp
+++ /dev/null
@@ -1,325 +0,0 @@
-/*
- * Copyright (c) 2022-2023 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 "ClTemplateWriter.h"
-
-#include "arm_compute/core/CL/CLKernelLibrary.h"
-
-#include "src/dynamic_fusion/sketch/gpu/components/IGpuKernelComponent.h"
-#include "src/dynamic_fusion/sketch/gpu/template_writer/IGpuTemplateComponentWriter.h"
-
-namespace arm_compute
-{
-namespace experimental
-{
-namespace dynamic_fusion
-{
-/// @note: some tags can be unused since they could be used only for the macros, or only for the component code
-std::string ClTemplateWriter::replace_tags(const std::string &code_template, const TagLUT &tags)
-{
- std::string replaced_code = "";
- bool scanning_pattern = false;
- std::string pattern_found = "";
- for (size_t i = 0; i < code_template.size() - 1; ++i)
- {
- if (!scanning_pattern)
- {
- if (code_template[i] == '{' && code_template[i + 1] == '{')
- {
- i += 1;
- scanning_pattern = true;
- pattern_found = "";
- }
- else
- {
- replaced_code += code_template[i];
- }
- }
- else
- {
- if (code_template[i] == '}' && code_template[i + 1] == '}')
- {
- i += 1;
- scanning_pattern = false;
- std::string err = "Pattern " + pattern_found + " not found in tags";
- ARM_COMPUTE_ERROR_ON_MSG(tags.find(pattern_found) == tags.end(), err.c_str());
- replaced_code += tags.find(pattern_found)->second.value;
- }
- else
- {
- pattern_found += code_template[i];
- }
- }
- }
-
- return replaced_code;
-}
-ClTemplateWriter::~ClTemplateWriter()
-{
-}
-ClTemplateWriter::ClTemplateWriter(const GpuKernelComponentGroup &components) : _components{components}
-{
-}
-std::string ClTemplateWriter::get_name()
-{
- return write_kernel_name();
-}
-std::string ClTemplateWriter::get_code()
-{
- return write_code();
-}
-std::string ClTemplateWriter::get_config_id()
-{
- std::string config_id = get_name();
- for (const auto &comp : _components)
- {
- config_id += "--" + comp->template_writer()->get_config_id() + "--";
- }
-
- return config_id;
-}
-
-CLBuildOptions ClTemplateWriter::get_build_options()
-{
- CLBuildOptions build_opts{};
-
- for (const auto &comp : _components)
- {
- build_opts.add_options(comp->template_writer()->get_build_options(_components).options());
- }
-
- return build_opts;
-}
-
-Window ClTemplateWriter::get_window() const
-{
- const auto root_comp = _components.get_root_component();
- ARM_COMPUTE_ERROR_ON_MSG(root_comp == nullptr, "No root component found");
- return root_comp->template_writer()->get_window();
-}
-
-std::map<ITensorInfo::Id, GpuKernelArgument> ClTemplateWriter::get_tensors()
-{
- // Assemble GpuKernelArguments
- std::map<ITensorInfo::Id, GpuKernelArgument> tensors;
- for (const auto t : _components.get_argument_tensors())
- {
- tensors.emplace(t->id(), GpuKernelArgument{*t, _vtable.get_variable(t).kernel_argument_info});
- }
- return tensors;
-}
-
-std::string ClTemplateWriter::write_code()
-{
- ARM_COMPUTE_ERROR_ON_MSG(_components.empty(), "No components found");
-
- // These data structures will hold the data from all the components in the blueprint
- std::set<std::string> headers_list{};
- std::set<std::string> additional_macros{};
- std::vector<std::string> component_codes{}; // vector because order matters
-
- // Pass 1: Declare all kernel variables
- for (auto &component : _components)
- {
- component->template_writer()->declare_variables(_vtable, _components);
- }
- // Pass 2: Generate component codes
- for (auto &component : _components)
- {
- const auto component_writer = component->template_writer();
- auto curr_headers_list = component_writer->get_headers_list();
- auto curr_additional_macros = component_writer->get_additional_macros();
- auto curr_component_code = component_writer->get_component_code(_components);
- const auto var_lut = component_writer->get_tag_lut(
- _vtable,
- _components); // Ideally can be merged with get_component_code once we have finer-grained code generation technique
- component_codes.push_back(replace_tags(curr_component_code, var_lut));
-
- headers_list.insert(curr_headers_list.begin(), curr_headers_list.end());
- if (!additional_macros.empty()) // Some components might not have any
- {
- additional_macros.insert(replace_tags(curr_additional_macros, var_lut));
- }
- }
-
- // Step 3: Assemble the data gathered by traversing the graph into the string "code"
- std::string code = "";
-
- for (auto &header : headers_list)
- {
-#if defined(EMBEDDED_KERNELS)
- code += CLKernelLibrary::get().get_program(header).first;
-#else // defined(EMBEDDED_KERNELS)
- code += "#include \"" + header + "\"\n";
-#endif // defined(EMBEDDED_KERNELS)
- }
-
- for (auto &macros : additional_macros)
- {
- code += macros;
- }
-
- auto arguments = _components.get_argument_tensors();
- std::sort(arguments.begin(), arguments.end(),
- [](const ITensorInfo *l, const ITensorInfo *r) { return l->id() < r->id(); });
- code += write_kernel_signature(_vtable.get_variable_list(arguments));
-
- code += "\n{\n\n";
-
- code += " //------------------ START KERNEL_BUILDER_COORDINATE ---------------------\n\n";
- code += write_global_section();
- code += " //------------------ END KERNEL_BUILDER_COORDINATE ---------------------\n";
-
- {
- const auto tiles = _components.get_tiles();
- std::stringstream tiles_ss;
-
- tiles_ss << " //------------------ START TILE DECLARATION ---------------------\n";
-
- for (auto tile : tiles)
- {
- const auto var = _vtable.get_variable(tile);
- const auto data_type = get_cl_type_from_data_type(tile->data_type());
- const auto var_name = var.uniq_name;
-
- tiles_ss << " TILE(" << data_type << ", M0, N0, " << var_name << ");\n";
- }
-
- tiles_ss << " //------------------ END TILE DECLARATION ---------------------\n";
-
- code += tiles_ss.str();
- }
-
- for (const auto &component_code : component_codes)
- {
- code += component_code;
- code += "\n";
- }
-
- code += "}\n";
-
- return code;
-}
-std::string ClTemplateWriter::write_global_section() const
-{
- const auto dst_info = _components.get_any_dst_tensor();
- const auto dst_w = dst_info->dimension(0);
- const auto tile_w = std::max(1, get_window().x().step());
- const auto tile_h = std::max(1, get_window().y().step());
- auto leftover_w = dst_w % tile_w;
-
- std::string code = "";
- code += std::string(" int g_ind_0 = GET_SPATIAL_IDX(0, ") + std::to_string(tile_w) + ", " +
- std::to_string(leftover_w) + ");\n";
- code += std::string(" int g_ind_1 = GET_SPATIAL_IDX(1, ") + std::to_string(tile_h) + ", " + "0);\n";
- code += std::string(" int g_ind_2 = GET_SPATIAL_IDX(2, 1, 0);\n\n");
-
- code += " const bool g_cond_x = (g_ind_0 == 0);\n";
- code += " const bool g_cond_y = (g_ind_1 == 0);\n";
-
- return code;
-}
-std::string ClTemplateWriter::write_argument_declaration(const GpuKernelVariableTable::TensorVariable &var) const
-{
- std::string code;
- switch (var.kernel_argument_info.type)
- {
- case GpuKernelArgumentInfo::Type::Vector:
- {
- code += "\n VECTOR_DECLARATION(" + var.uniq_name + ")";
- break;
- }
- case GpuKernelArgumentInfo::Type::Image:
- {
- code += "\n IMAGE_DECLARATION(" + var.uniq_name + ")";
- break;
- }
- case GpuKernelArgumentInfo::Type::Image_3D:
- {
- code += "\n IMAGE_DECLARATION(" + var.uniq_name + "),";
- code += "\n unsigned int " + var.uniq_name + "_stride_z";
- break;
- }
- case GpuKernelArgumentInfo::Type::Image_3D_Export_To_ClImage2D:
- {
- code += "\n __read_only image2d_t " + var.uniq_name + "_img,";
- code += "\n unsigned int " + var.uniq_name + "_stride_z";
- break;
- }
- case GpuKernelArgumentInfo::Type::Tensor_4D_t_Buffer:
- {
- code += "\n TENSOR4D_T(" + var.uniq_name + ", BUFFER)";
- break;
- }
- case GpuKernelArgumentInfo::Type::Tensor_4D_t_Image:
- {
- code += "\n TENSOR4D_T(" + var.uniq_name + ", IMAGE)";
- break;
- }
- case GpuKernelArgumentInfo::Type::Tensor_3D:
- {
- code += "\n TENSOR3D_DECLARATION(" + var.uniq_name + ")";
- break;
- }
- default:
- {
- ARM_COMPUTE_ERROR("Unsupported declaration generation for GpuKernelArgumentInfo::Type");
- }
- }
- return code;
-}
-std::string ClTemplateWriter::write_kernel_signature(const GpuKernelVariableTable::VariableList &argument_list) const
-{
- std::string code = "\n__kernel void " + write_kernel_name() + "(";
-
- for (int i = 0; i < static_cast<int>(argument_list.size()) - 1; ++i)
- {
- code += write_argument_declaration(argument_list[i]) + ",";
- }
- if (static_cast<int>(argument_list.size()) - 1 >= 0)
- {
- code += write_argument_declaration(argument_list[argument_list.size() - 1]);
- }
-
- code += ')';
-
- return code;
-}
-std::string ClTemplateWriter::write_kernel_name() const
-{
- if (_components.empty())
- {
- return "empty_kernel";
- }
- std::string name = _components.empty() ? "" : _components[0]->template_writer()->get_name();
- for (size_t i = 1; i < _components.size(); ++i)
- {
- name += "___";
- name += _components[i]->template_writer()->get_name();
- }
-
- return name;
-}
-} // namespace dynamic_fusion
-} // namespace experimental
-} // namespace arm_compute