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Diffstat (limited to 'src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateReshape.cpp')
-rw-r--r-- | src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateReshape.cpp | 166 |
1 files changed, 166 insertions, 0 deletions
diff --git a/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateReshape.cpp b/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateReshape.cpp new file mode 100644 index 0000000000..9a989456a7 --- /dev/null +++ b/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateReshape.cpp @@ -0,0 +1,166 @@ +/* + * 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 "ClTemplateReshape.h" +#include "src/core/helpers/WindowHelpers.h" +#include "src/dynamic_fusion/sketch/gpu/GpuKernelComponentGroup.h" + +namespace arm_compute +{ +namespace experimental +{ +namespace dynamic_fusion +{ +constexpr unsigned int vector_size_byte_opencl = 16; + +ClTemplateReshape::ClTemplateReshape(ComponentId id, + const ArgumentPack<ITensorInfo> &tensors) + : IGpuTemplateComponentWriter{ id, tensors }, + _src{}, + _dst{} +{ + _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 ClTemplateReshape::get_name() const +{ + return "reshape"; +} + +std::string ClTemplateReshape::get_component_code(const ComponentGroup &comp_group) const +{ + ARM_COMPUTE_UNUSED(comp_group); + std::string code; + + code = R"_( +//------------------ START KERNEL {{meta_kernel_id}} --------------------- + +// IN(src) {{src}} +// OUT(dst, accum) {{dst}} + +TILE(uint, M0, 1, g_dst_indirect_y); +{ + __global uchar * base_src_ptr = {{src}}_ptr + {{src}}_offset_first_element_in_bytes; + const int tile_vertical_idx = g_ind_1 * {{arg_dst}}_c + g_ind_2 * {{arg_dst}}_c * {{arg_dst}}_w; + LOOP_UNROLLING(int, _m0, 0, 1, M0, + { + const int row_idx = _m0 * {{arg_dst}}_c + tile_vertical_idx; + const int tile_horizontal_idx = g_ind_0 + row_idx; + LOOP_UNROLLING(int, _n0, 0, 1, N0, + { + {{src}}_ptr = base_src_ptr; + const int linear_idx = tile_horizontal_idx + _n0; + const int in_id_x = linear_idx % {{src}}_c; + const int in_id_y = (linear_idx / {{src}}_c) % {{src}}_w; + const int in_id_z = linear_idx / ({{src}}_c * {{src}}_w); + {{src}}_ptr += in_id_x * sizeof({{DATA_TYPE}}) + in_id_y * {{src}}_stride_y + in_id_z * {{src}}_stride_z; + {{dst}}[_m0].s[_n0] = *((__global {{DATA_TYPE}} *){{src}}_ptr); + }) + }) + + 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 ClTemplateReshape::declare_variables(GpuKernelVariableTable &vtable, const ComponentGroup &comp_group) const +{ + vtable.declare_variable( + comp_group, + _src, + GpuKernelArgumentInfo(common_tensor_type), // GpuKernelArgumentInfo::Type::Image_3D + "src"); + + vtable.declare_variable( + comp_group, + _dst, + GpuKernelArgumentInfo(common_tensor_type), + "dst"); +} + +TagLUT ClTemplateReshape::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); + lut["arg_dst"] = vtable.get_variable(comp_group.get_any_dst_tensor()); + lut["meta_kernel_id"] = id(); + lut["DATA_TYPE"] = get_cl_type_from_data_type(_dst->data_type()); + + return lut; +} + +CLBuildOptions ClTemplateReshape::get_build_options(const ComponentGroup &comp_group) const +{ + CLBuildOptions build_opts{}; + 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(); + const unsigned int partial_store_n0 = _dst->dimension(0) % n0; + build_opts.add_option("-DN0=" + support::cpp11::to_string(n0)); + build_opts.add_option("-DM0=" + support::cpp11::to_string(m0)); + build_opts.add_option("-DPARTIAL_N0=" + support::cpp11::to_string(partial_store_n0)); + + return build_opts; +} + +std::string ClTemplateReshape::get_config_id() const +{ + std::string config_id{}; + config_id += lower_string(string_from_data_type(_dst->data_type())); + config_id += "_"; + config_id += support::cpp11::to_string(_dst->dimension(0)); + config_id += "_"; + config_id += support::cpp11::to_string(_dst->dimension(1)); + + return config_id; +} + +std::set<std::string> ClTemplateReshape::get_headers_list() const +{ + return std::set<std::string>{ "helpers.h", "tile_helpers.h" }; +} + +Window ClTemplateReshape::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(vector_size_byte_opencl / _dst->element_size(), _dst->dimension(0)); + Window win = calculate_max_window(*_dst, Steps(n0)); + return win.collapse(win, Window::DimZ); +} + +} // namespace dynamic_fusion +} // namespace experimental +} // namespace arm_compute |