| /* |
| * 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 "src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateLogits1DNorm.h" |
| |
| #include "arm_compute/core/utils/helpers/AdjustVecSize.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 |
| { |
| ClTemplateLogits1DNorm::ClTemplateLogits1DNorm(ComponentId id, |
| const ArgumentPack<ITensorInfo> &tensors, |
| const Attributes &attributes) |
| : IGpuTemplateComponentWriter{id, tensors}, _src{}, _sum{}, _dst{}, _attributes{attributes} |
| { |
| _src = this->tensors().get_const_tensor(TensorType::ACL_SRC_0); |
| _sum = this->tensors().get_const_tensor(TensorType::ACL_SRC_1); |
| _dst = this->tensors().get_const_tensor(TensorType::ACL_DST_0); |
| ARM_COMPUTE_ERROR_ON_NULLPTR(_src); |
| ARM_COMPUTE_ERROR_ON_NULLPTR(_sum); |
| ARM_COMPUTE_ERROR_ON_NULLPTR(_dst); |
| } |
| |
| std::string ClTemplateLogits1DNorm::get_name() const |
| { |
| return "logits_1d_norm"; |
| } |
| |
| std::string ClTemplateLogits1DNorm::get_component_code(const ComponentGroup &comp_group) const |
| { |
| ARM_COMPUTE_UNUSED(comp_group); |
| |
| std::string code = R"_( |
| //------------------ START KERNEL {{meta_kernel_id}} --------------------- |
| { |
| const int x_offs = g_ind_0 * sizeof({{DATA_TYPE}}); |
| __global uchar *src_addr = {{src}}_ptr + {{src}}_offset_first_element_in_bytes + x_offs + g_ind_1 * {{src}}_stride_y + g_ind_2 * {{src}}_stride_z; |
| __global uchar *dst_addr = {{dst}}_ptr + {{dst}}_offset_first_element_in_bytes + x_offs + g_ind_1 * {{dst}}_stride_y + g_ind_2 * {{dst}}_stride_z; |
| Image sum = CONVERT_TENSOR3D_TO_IMAGE_STRUCT_NO_STEP({{sum}}); |
| )_"; |
| // Load max value of 1D logits vector (row) |
| code += R"_( |
| {{DATA_TYPE}} sum_val = *((__global {{DATA_TYPE}} *)offset(&sum, 0, g_ind_1)); |
| VEC_DATA_TYPE({{DATA_TYPE}}, N0) |
| data0 = VLOAD(N0)(0, (__global {{DATA_TYPE}} *)src_addr); |
| )_"; |
| |
| if (_attributes.is_log_softmax()) |
| { |
| code += R"_( |
| sum_val = log(sum_val); |
| data0 -= sum_val; |
| )_"; |
| } |
| else |
| { |
| code += R"_( |
| data0 /= sum_val; |
| )_"; |
| } |
| |
| code += R"_( |
| STORE_VECTOR_SELECT(data, {{DATA_TYPE}}, dst_addr, N0, PARTIAL_N0, PARTIAL_N0 != 0 && g_ind_0 == 0); |
| } |
| //------------------ END KERNEL {{meta_kernel_id}} --------------------- |
| )_"; |
| |
| return code; |
| } |
| |
| void ClTemplateLogits1DNorm::declare_variables(GpuKernelVariableTable &vtable, const ComponentGroup &comp_group) const |
| { |
| vtable.declare_variable(comp_group, _src, GpuKernelArgumentInfo(GpuKernelArgumentInfo::Type::Tensor_3D), "src"); |
| |
| vtable.declare_variable(comp_group, _sum, GpuKernelArgumentInfo(GpuKernelArgumentInfo::Type::Tensor_3D), "sum"); |
| |
| vtable.declare_variable(comp_group, _dst, GpuKernelArgumentInfo(GpuKernelArgumentInfo::Type::Tensor_3D), "dst"); |
| } |
| |
| TagLUT ClTemplateLogits1DNorm::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["sum"] = vtable.get_variable(_sum); |
| lut["dst"] = vtable.get_variable(_dst); |
| |
| // Local build options |
| lut["meta_kernel_id"] = id(); |
| |
| const DataType data_type = _src->data_type(); |
| |
| lut["DATA_TYPE"] = get_cl_type_from_data_type(data_type); |
| |
| return lut; |
| } |
| |
| CLBuildOptions ClTemplateLogits1DNorm::get_build_options(const ComponentGroup &comp_group) const |
| { |
| ARM_COMPUTE_UNUSED(comp_group); |
| CLBuildOptions build_opts{}; |
| |
| const auto root_window = comp_group.get_root_component()->template_writer()->get_window(); |
| const unsigned int n0 = root_window.x().step(); |
| build_opts.add_option("-DN0=" + support::cpp11::to_string(n0)); |
| build_opts.add_option("-DPARTIAL_N0=" + support::cpp11::to_string((_src->dimension(0) % n0))); |
| |
| return build_opts; |
| } |
| |
| std::string ClTemplateLogits1DNorm::get_config_id() const |
| { |
| std::string config_id = get_name(); |
| |
| config_id += "_"; |
| config_id += support::cpp11::to_string(_src->dimension(0)); |
| config_id += "_"; |
| config_id += string_from_data_type(_src->data_type()); |
| |
| return config_id; |
| } |
| |
| std::set<std::string> ClTemplateLogits1DNorm::get_headers_list() const |
| { |
| return std::set<std::string>{"helpers.h", "tile_helpers.h"}; |
| } |
| |
| Window ClTemplateLogits1DNorm::get_window() const |
| { |
| ARM_COMPUTE_ERROR_ON_MSG(_dst->tensor_shape().total_size() == 0U, "Destination tensor is not initialized"); |
| constexpr unsigned int serial_vector_size = 16; |
| const unsigned int vector_size = adjust_vec_size(serial_vector_size, _src->dimension(0)); |
| |
| Window win = calculate_max_window(*_src, Steps(vector_size)); |
| return win.collapse(win, Window::DimZ); |
| } |
| |
| } // namespace dynamic_fusion |
| } // namespace experimental |
| } // namespace arm_compute |