| /* |
| * 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 "ClTemplateActivation.h" |
| |
| #include "arm_compute/core/utils/ActivationFunctionUtils.h" |
| #include "arm_compute/core/utils/helpers/AdjustVecSize.h" |
| #include "arm_compute/core/utils/StringUtils.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| #include "src/dynamic_fusion/sketch/gpu/GpuKernelComponentGroup.h" |
| #include "support/StringSupport.h" |
| |
| namespace arm_compute |
| { |
| namespace experimental |
| { |
| namespace dynamic_fusion |
| { |
| ClTemplateActivation::ClTemplateActivation(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); |
| _dst = this->tensors().get_const_tensor(TensorType::ACL_DST); |
| ARM_COMPUTE_ERROR_ON_NULLPTR(_src, _dst); |
| } |
| |
| std::string ClTemplateActivation::get_name() const |
| { |
| return "activation"; |
| } |
| |
| std::string ClTemplateActivation::get_component_code(const ComponentGroup &comp_group) const |
| { |
| std::string code; |
| const bool is_root = (comp_group.get_root_component()->id() == this->id()); |
| |
| code = R"_( |
| //------------------ START KERNEL {{meta_kernel_id}} --------------------- |
| )_"; |
| if(is_root) |
| { |
| code += R"_( |
| // IN(src) {{src}} |
| // OUT(dst, accum) {{dst}} |
| |
| TILE({{DATA_TYPE}}, M0, N0, {{src}}); |
| TILE(uint, M0, 1, g_dst_indirect_y); |
| { |
| {{src}}_offset_first_element_in_bytes += g_ind_2 * {{src}}_stride_z; |
| |
| T_LOAD({{DATA_TYPE}}, M0, N0, {{TENSOR_TYPE}}, {{src}}, g_ind_0, g_ind_1, 1, {{src}}_stride_y, {{src}}); |
| |
| T_ACTIVATION({{DATA_TYPE}}, M0, N0, {{ACT}}, {{A_VAL}}, {{B_VAL}}, {{src}}, {{dst}}); |
| } |
| |
| 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); |
| }) |
| )_"; |
| } |
| else |
| { |
| code += R"_( |
| // IN/OUT(src, accum) {{src}} |
| |
| { |
| T_ACTIVATION({{DATA_TYPE}}, M0, N0, {{ACT}}, {{A_VAL}}, {{B_VAL}}, {{src}}, {{dst}}); |
| } |
| )_"; |
| } |
| code += R"_( |
| //------------------ END KERNEL {{meta_kernel_id}} --------------------- |
| )_"; |
| return code; |
| } |
| |
| void ClTemplateActivation::declare_variables(GpuKernelVariableTable &vtable, const ComponentGroup &comp_group) const |
| { |
| vtable.declare_variable( |
| comp_group, |
| _src, |
| GpuKernelArgumentInfo(GpuKernelArgumentInfo::Type::Tensor_4D_t_Buffer), |
| "src"); |
| |
| vtable.declare_variable( |
| comp_group, |
| _dst, |
| GpuKernelArgumentInfo(GpuKernelArgumentInfo::Type::Tensor_4D_t_Buffer), |
| "dst"); |
| } |
| |
| TagLUT ClTemplateActivation::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_any_dst_tensor()); |
| lut["arg_dst"] = dst_argument.uniq_name; |
| |
| // Local build options |
| lut["meta_kernel_id"] = id(); |
| lut["DATA_TYPE"] = get_cl_type_from_data_type(_src->data_type()); |
| lut["TENSOR_TYPE"] = "BUFFER"; |
| |
| const auto f_act = lower_string(string_from_activation_func(_attributes.activation())); |
| |
| lut["ACT"] = f_act; |
| lut["A_VAL"] = float_to_string_with_full_precision(_attributes.a()); |
| lut["B_VAL"] = float_to_string_with_full_precision(_attributes.b()); |
| |
| return lut; |
| } |
| |
| CLBuildOptions ClTemplateActivation::get_build_options(const ComponentGroup &comp_group) const |
| { |
| /// NOTE: For now tile sizes (n0, m0) are set by the execution window. This may change in the future |
| 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; |
| |
| CLBuildOptions build_opts; |
| 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 ClTemplateActivation::get_config_id() const |
| { |
| std::string config_id{}; |
| config_id += "activation_"; |
| config_id += lower_string(string_from_data_type(_src->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> ClTemplateActivation::get_headers_list() const |
| { |
| return std::set<std::string>{ "helpers.h", "tile_helpers.h", "activation_float_helpers.h" }; |
| } |
| |
| Window ClTemplateActivation::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 / _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 |