/* * Copyright (c) 2018-2021 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/gpu/cl/kernels/ClGemmReshapeLhsMatrixKernel.h" #include "arm_compute/core/CL/CLHelpers.h" #include "arm_compute/core/CL/CLKernelLibrary.h" #include "arm_compute/core/CL/ICLTensor.h" #include "arm_compute/core/CL/OpenCL.h" #include "arm_compute/core/Helpers.h" #include "arm_compute/core/TensorInfo.h" #include "arm_compute/core/Utils.h" #include "arm_compute/core/utils/misc/ShapeCalculator.h" #include "src/core/AccessWindowStatic.h" #include "src/core/CL/CLValidate.h" #include "src/core/helpers/AutoConfiguration.h" #include "src/core/helpers/WindowHelpers.h" #include "support/Cast.h" #include "support/StringSupport.h" namespace arm_compute { namespace opencl { namespace kernels { namespace { Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst, const GEMMLHSMatrixInfo &lhs_info, bool reinterpret_input_as_3d) { ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); ARM_COMPUTE_RETURN_ERROR_ON(lhs_info.m0 == 0); ARM_COMPUTE_RETURN_ERROR_ON(lhs_info.k0 == 0); ARM_COMPUTE_RETURN_ERROR_ON(lhs_info.v0 == 0); ARM_COMPUTE_RETURN_ERROR_ON_MSG(((lhs_info.k0 & (lhs_info.k0 - 1)) && lhs_info.k0 != 3), "Only 2,3,4,8,16 are supported for k0"); ARM_COMPUTE_RETURN_ERROR_ON(lhs_info.k0 > 16); ARM_COMPUTE_RETURN_ERROR_ON(lhs_info.m0 < 2 || lhs_info.m0 > 8); ARM_COMPUTE_RETURN_ERROR_ON((lhs_info.m0 > 4 && lhs_info.m0 < 8) && lhs_info.transpose); ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(src); ARM_COMPUTE_RETURN_ERROR_ON(src->data_type() == DataType::UNKNOWN); if(dst->total_size() != 0) { ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(dst->tensor_shape(), misc::shape_calculator::compute_lhs_reshaped_shape(*src, lhs_info, reinterpret_input_as_3d)); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(src, dst); } return Status{}; } Window configure_window(ITensorInfo *src, ITensorInfo *dst, const GEMMLHSMatrixInfo &lhs_info, bool reinterpret_input_as_3d) { const unsigned int num_elems_processed_per_iteration_x = lhs_info.k0; const unsigned int num_elems_processed_per_iteration_y = lhs_info.m0; TensorInfo tmp_info(*src); if(reinterpret_input_as_3d) { // Since the src tensor has to be reinterpreted as 3D and the execute window is based on a 2D interleave, // the window needs to be constructed on the 2D collapsed version of the tensor TensorShape tmp_shape(src->tensor_shape()); tmp_shape.collapse(2U, 1U); tmp_info.set_tensor_shape(tmp_shape); } // dst auto inizialitation if not yet initialized auto_init_if_empty(*dst, src->clone()->set_tensor_shape(misc::shape_calculator::compute_lhs_reshaped_shape(*src, lhs_info, reinterpret_input_as_3d))); // Configure window Window win = calculate_max_window(tmp_info, Steps(num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y)); // Collapse along the Z direction // This collapse needs to be here in order to tune the Z dimension of LWS Window collapsed = win.collapse(win, Window::DimZ); return collapsed; } } // namespace ClGemmReshapeLhsMatrixKernel::ClGemmReshapeLhsMatrixKernel() { _type = CLKernelType::ELEMENTWISE; } void ClGemmReshapeLhsMatrixKernel::configure(const CLCompileContext &compile_context, ITensorInfo *src, ITensorInfo *dst, const GEMMLHSMatrixInfo &lhs_info, bool reinterpret_input_as_3d) { ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); // Perform validate step ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst, lhs_info, reinterpret_input_as_3d)); auto padding_info = get_padding_info({ src }); const unsigned int src_w = src->dimension(0); const unsigned int m = reinterpret_input_as_3d ? src->dimension(1) * src->dimension(2) : src->dimension(1); const unsigned int partial_m0 = m % lhs_info.m0; const unsigned int partial_k0 = src_w % lhs_info.k0; // Create build options CLBuildOptions build_opts; build_opts.add_option("-DM0=" + support::cpp11::to_string(lhs_info.m0)); build_opts.add_option("-DK0=" + support::cpp11::to_string(lhs_info.k0)); build_opts.add_option_if(lhs_info.interleave, "-DINTERLEAVE"); build_opts.add_option_if_else(lhs_info.transpose, "-DRESHAPE_LHS_T", "-DRESHAPE_LHS_NT"); build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(src->element_size())); build_opts.add_option("-DPARTIAL_M0=" + support::cpp11::to_string(partial_m0)); build_opts.add_option("-DPARTIAL_K0=" + support::cpp11::to_string(partial_k0)); std::string kernel_name("gemm_reshape_lhs_matrix_"); kernel_name += lhs_info.transpose ? "t" : "nt"; // Create kernel _kernel = create_kernel(compile_context, kernel_name, build_opts.options()); // Configure kernel window auto win_config = configure_window(src, dst, lhs_info, reinterpret_input_as_3d); ICLKernel::configure_internal(win_config); unsigned int idx = 2 * num_arguments_per_3d_tensor_nhw(); _kernel.setArg(idx++, m); _kernel.setArg(idx++, lhs_info.v0); // Set config_id for enabling LWS tuning _config_id = "gemm_reshape_lhs_matrix_"; _config_id += (reinterpret_input_as_3d ? "3d_" : ""); _config_id += lower_string(string_from_data_type(src->data_type())); _config_id += "_"; _config_id += support::cpp11::to_string(dst->dimension(0)); _config_id += "_"; _config_id += support::cpp11::to_string(dst->dimension(1)); _config_id += "_"; _config_id += support::cpp11::to_string(dst->dimension(2)); _config_id += "_"; _config_id += support::cpp11::to_string(lhs_info.m0); _config_id += "_"; _config_id += support::cpp11::to_string(lhs_info.k0); _config_id += "_"; _config_id += support::cpp11::to_string(lhs_info.v0); _config_id += "_"; _config_id += support::cpp11::to_string(lhs_info.interleave); _config_id += "_"; _config_id += support::cpp11::to_string(lhs_info.transpose); ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info)); } Status ClGemmReshapeLhsMatrixKernel::validate(const ITensorInfo *src, const ITensorInfo *dst, const GEMMLHSMatrixInfo &lhs_info, bool reinterpret_input_as_3d) { ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst, lhs_info, reinterpret_input_as_3d)); return Status{}; } void ClGemmReshapeLhsMatrixKernel::run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) { ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); const auto src = utils::cast::polymorphic_downcast(tensors.get_const_tensor(TensorType::ACL_SRC)); auto dst = utils::cast::polymorphic_downcast(tensors.get_tensor(TensorType::ACL_DST)); ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); Window slice = window.first_slice_window_3D(); do { unsigned int idx = 0; add_3d_tensor_nhw_argument(idx, src); add_3d_tensor_nhw_argument(idx, dst); enqueue(queue, *this, slice, lws_hint()); } while(window.slide_window_slice_3D(slice)); } } // namespace kernels } // namespace opencl } // namespace arm_compute