diff options
Diffstat (limited to 'src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateCast.cpp')
| -rw-r--r-- | src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateCast.cpp | 201 |
1 files changed, 201 insertions, 0 deletions
diff --git a/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateCast.cpp b/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateCast.cpp new file mode 100644 index 0000000000..1ac49406a8 --- /dev/null +++ b/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateCast.cpp @@ -0,0 +1,201 @@ +/* + * Copyright (c) 2022 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 "ClTemplateCast.h" + +#include "src/core/helpers/WindowHelpers.h" +#include "src/dynamic_fusion/sketch/gpu/GpuKernelComponentGroup.h" + +namespace arm_compute +{ +namespace experimental +{ +namespace dynamic_fusion +{ +ClTemplateCast::ClTemplateCast(ComponentId id, const ArgumentPack<ITensorInfo> &tensors, const Attributes &attributes) + : IGpuTemplateComponentWriter{ id, tensors }, _src{}, _dst{}, _attributes{ attributes } +{ + _src = this->tensors().get_const_tensor(TensorType::ACL_SRC_0); + _dst = this->tensors().get_const_tensor(TensorType::ACL_DST_0); + + ARM_COMPUTE_ERROR_ON_NULLPTR(_src, _dst); +} + +std::string ClTemplateCast::get_name() const +{ + const size_t src_size = data_size_from_type(_src->data_type()); + const size_t dst_size = data_size_from_type(_dst->data_type()); + + return (src_size >= dst_size) ? "cast_down" : "cast_up"; +} + +std::string ClTemplateCast::get_component_code(const ComponentGroup &comp_group) const +{ + ARM_COMPUTE_UNUSED(comp_group); + + const std::string kernel_name = get_name(); + + std::string code = R"_( +//------------------ START KERNEL {{meta_kernel_id}} --------------------- +// IN_0(src) {{src}} +// OUT(dst, accum) {{dst}} + +TILE({{DATA_TYPE_OUT}}, M0, N0, {{dst}}); +TILE(uint, M0, 1, g_dst_indirect_y); +{ + {{src}}_offset_first_element_in_bytes += get_global_id(2) * {{src}}_stride_z; + + TILE({{DATA_TYPE_IN}}, M0, N0, in_data); + T_LOAD({{DATA_TYPE_IN}}, M0, N0, BUFFER, {{src}}, g_ind_0, g_ind_1, 1, {{src}}_stride_y, in_data); +)_"; + + code += R"_( + LOOP_UNROLLING(int, m0, 0, 1, M0, + { +)_"; + + if(kernel_name == "cast_down" && is_data_type_quantized(_src->data_type())) + { + code += R"_( + in_data[m0].v ^= (VEC_DATA_TYPE({{DATA_TYPE_IN}}, N0))0x80; +)_"; + } + + if(kernel_name == "cast_down" && (is_data_type_float(_src->data_type()) || _attributes.convert_policy() == ConvertPolicy::SATURATE)) + { + code += R"_( + {{dst}}[m0].v = CONVERT_SAT(in_data[m0].v, VEC_DATA_TYPE({{DATA_TYPE_OUT}}, N0)); +)_"; + } + else + { + code += R"_( + {{dst}}[m0].v = CONVERT(in_data[m0].v, VEC_DATA_TYPE({{DATA_TYPE_OUT}}, N0)); +)_"; + } + + code += R"_( + }) +)_"; + + code += R"_( + LOOP_UNROLLING(int, i, 0, 1, M0, + { + g_dst_indirect_y[i].v = (uint)min((int)(g_ind_1 + i), (int)({{arg_dst}}_w) - 1); + g_dst_indirect_y[i].v += (int)(g_ind_2 % {{arg_dst}}_h) * (int)({{arg_dst}}_w); + g_dst_indirect_y[i].v += (int)(g_ind_2 / {{arg_dst}}_h) * (int)({{arg_dst}}_w * {{arg_dst}}_h); + }) +} +//------------------ END KERNEL {{meta_kernel_id}} --------------------- +)_"; + + return code; +} + +void ClTemplateCast::declare_variables(GpuKernelVariableTable &vtable, const ComponentGroup &comp_group) const +{ + vtable.declare_variable( + _src, + GpuKernelArgumentInfo(GpuKernelArgumentInfo::Type::Tensor_4D_t_Buffer), + comp_group.is_intermediate_tensor(_src), + "src"); + + vtable.declare_variable( + _dst, + GpuKernelArgumentInfo(GpuKernelArgumentInfo::Type::Tensor_4D_t_Buffer), + comp_group.is_intermediate_tensor(_dst), + "dst"); +} + +TagLUT ClTemplateCast::get_tag_lut(const GpuKernelVariableTable &vtable, const ComponentGroup &comp_group) const +{ + ARM_COMPUTE_UNUSED(comp_group); + + TagLUT lut{}; + + // Arguments and global shared variables + lut["src"] = vtable.get_variable(_src); + lut["dst"] = vtable.get_variable(_dst); + + const auto dst_argument = vtable.get_variable(comp_group.get_dst_tensors()[0]); + lut["arg_dst"] = dst_argument.uniq_name; + + // Local build options + lut["meta_kernel_id"] = id(); + + lut["DATA_TYPE_IN"] = get_cl_type_from_data_type(_src->data_type()); + lut["DATA_TYPE_OUT"] = get_cl_type_from_data_type(_dst->data_type()); + + return lut; +} + +CLBuildOptions ClTemplateCast::get_build_options(const ComponentGroup &comp_group) const +{ + ARM_COMPUTE_UNUSED(comp_group); + + const auto root_window = comp_group.get_root_component()->template_writer()->get_window(); + const unsigned int n0 = root_window.x().step(); + const unsigned int m0 = root_window.y().step(); + + // Set build options + CLBuildOptions build_opts{}; + build_opts.add_option("-DN0=" + support::cpp11::to_string(n0)); + build_opts.add_option("-DPARTIAL_N0=" + support::cpp11::to_string(_src->dimension(0) % n0)); + build_opts.add_option("-DM0=" + support::cpp11::to_string(m0)); + + return build_opts; +} + +std::string ClTemplateCast::get_config_id() const +{ + std::string config_id{}; + + config_id += "_"; + config_id += lower_string(string_from_data_type(_src->data_type())); + config_id += "_"; + config_id += lower_string(string_from_data_type(_dst->data_type())); + config_id += "_"; + config_id += support::cpp11::to_string(_src->dimension(0)); + config_id += "_"; + config_id += support::cpp11::to_string(_src->dimension(1)); + + return config_id; +} + +std::set<std::string> ClTemplateCast::get_headers_list() const +{ + return std::set<std::string>{ "helpers.h", "tile_helpers.h" }; +} + +Window ClTemplateCast::get_window() const +{ + ARM_COMPUTE_ERROR_ON_MSG(_dst->tensor_shape().total_size() == 0U, "Destination tensor is not initialized"); + + const unsigned int n0 = adjust_vec_size(16 / _src->element_size(), _src->dimension(0)); + Window win = calculate_max_window(*_dst, Steps(n0)); + return win.collapse(win, Window::DimZ); +} + +} // namespace dynamic_fusion +} // namespace experimental +} // namespace arm_compute |