| /* |
| * 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<cl_int>(idx++, m); |
| _kernel.setArg<cl_int>(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<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC)); |
| auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(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 |