diff options
Diffstat (limited to 'src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateLogits1DNorm.cpp')
-rw-r--r-- | src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateLogits1DNorm.cpp | 185 |
1 files changed, 185 insertions, 0 deletions
diff --git a/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateLogits1DNorm.cpp b/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateLogits1DNorm.cpp new file mode 100644 index 0000000000..0e1c9ef28f --- /dev/null +++ b/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateLogits1DNorm.cpp @@ -0,0 +1,185 @@ +/* + * 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 "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 |