From adc5395ad72aceb2c9e7e6beb54d949959d35143 Mon Sep 17 00:00:00 2001 From: Gian Marco Iodice Date: Fri, 15 Feb 2019 11:10:31 +0000 Subject: COMPMID-2000: Implement CLGEMMMatrixMultiplyReshapedOnlyRHS - Transposed Change-Id: I364c7ec5a43ad391a73429489802b0e679ee0c6e Signed-off-by: Gian Marco Iodice Reviewed-on: https://review.mlplatform.org/c/732 Tested-by: Arm Jenkins Reviewed-by: Georgios Pinitas --- .../CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.cpp | 315 +++++++++++++++++++++ 1 file changed, 315 insertions(+) create mode 100644 src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.cpp (limited to 'src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.cpp') diff --git a/src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.cpp b/src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.cpp new file mode 100644 index 0000000000..6dc2a9e610 --- /dev/null +++ b/src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.cpp @@ -0,0 +1,315 @@ +/* + * Copyright (c) 2019 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 "arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.h" + +#include "arm_compute/core/AccessWindowStatic.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/Error.h" +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/TensorInfo.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/core/Utils.h" +#include "arm_compute/core/Validate.h" +#include "arm_compute/core/Window.h" +#include "arm_compute/core/utils/misc/ShapeCalculator.h" +#include "support/ToolchainSupport.h" + +#include +#include +#include + +using namespace arm_compute::misc::shape_calculator; + +namespace arm_compute +{ +namespace +{ +using ElementsProcessed = Steps; + +Status validate_arguments(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output, float alpha, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info, + const GEMMReshapeInfo &gemm_info) +{ + ARM_COMPUTE_UNUSED(alpha); + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input0, input1, output); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input0, 1, DataType::F32, DataType::F16); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input0, input1); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(input0->num_dimensions() > 4, "The number of dimensions for the LHS matrix must be <= 4"); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(input1->num_dimensions() > 3, "The number of dimensions for the RHS matrix must be <= 3"); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(((rhs_info.k0 & (rhs_info.k0 - 1)) && rhs_info.k0 != 3), "Only 2,3,4,8,16 are supported for k0"); + ARM_COMPUTE_RETURN_ERROR_ON(rhs_info.k0 > 16); + ARM_COMPUTE_RETURN_ERROR_ON(lhs_info.m0 < 1 || lhs_info.m0 > 8); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(((rhs_info.n0 & (rhs_info.n0 - 1)) && rhs_info.n0 != 3), "Only 2,3,4,8,16 are supported for n0"); + + const int m = gemm_info.m(); + const int n = gemm_info.n(); + const int k = gemm_info.k(); + + TensorShape tensor_shape0{ input0->tensor_shape() }; + tensor_shape0.set(0, k); + tensor_shape0.set(1, m); + + TensorShape tensor_shape1{ input1->tensor_shape() }; + tensor_shape1.set(0, n); + tensor_shape1.set(1, k); + + const TensorInfo tensor_info0 = input0->clone()->set_tensor_shape(tensor_shape0); + const TensorInfo tensor_info1 = input1->clone()->set_tensor_shape(tensor_shape1); + + const TensorInfo tensor_info_reshaped1 = input1->clone()->set_tensor_shape(compute_rhs_reshaped_shape(tensor_info1, rhs_info)); + + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input0, &tensor_info0); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input1, &tensor_info_reshaped1); + + if(output->total_size() != 0) + { + const TensorInfo tensor_info_output = output->clone()->set_tensor_shape(compute_mm_shape(*input0, *input1, gemm_info)); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(output, &tensor_info_output); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input0, output); + } + + return Status{}; +} + +std::pair validate_and_configure_window(ITensorInfo *input0, ITensorInfo *input1, ITensorInfo *output, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info, + const GEMMReshapeInfo &gemm_info, ElementsProcessed &num_elements_processed) +{ + unsigned int &num_elems_processed_per_iteration_x = num_elements_processed[0]; + unsigned int &num_elems_processed_per_iteration_y = num_elements_processed[1]; + bool reinterpret_output_as_3d = (gemm_info.depth_output_gemm3d() != 0); + + Window win{}; + Window win_out{}; + bool window_changed = false; + + // In case both input and output have to be reinterpreted as 3D tensors, + // force reinterpret_input_as_3d and reinterpret_output_as_3d to be false. + + // Output tensor auto initialization if not yet initialized + auto_init_if_empty(*output, input0->clone()->set_tensor_shape(compute_mm_shape(*input0, *input1, gemm_info))); + + TensorInfo tmp_info(*output); + + if(reinterpret_output_as_3d) + { + // Since the output tensor has to be reinterpreted as 3D and the execute window is based on a 2D GEMM, + // the window needs to be constructed on the 2D collapsed version of the tensor + TensorShape tmp_shape(output->tensor_shape()); + tmp_shape.collapse(2U, 1U); + tmp_info.set_tensor_shape(tmp_shape); + } + + // Configure kernel window + num_elems_processed_per_iteration_x = rhs_info.n0; + num_elems_processed_per_iteration_y = lhs_info.m0; + + // Note: bottom paddings are calculated manually as the output can be reinterpreted as 3D tensor + // The only way to set properly the paddings, it is to set those explicitly through the AccessWindowStatic + const int m = gemm_info.m(); + const int bottom_pad = (num_elems_processed_per_iteration_y - (m % num_elems_processed_per_iteration_y)) % num_elems_processed_per_iteration_y; + + win = calculate_max_window(tmp_info, Steps(num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y)); + win_out = calculate_max_window(*output, Steps(num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y)); + + AccessWindowStatic input0_access(input0, 0, 0, + input0->dimension(0), + input0->dimension(1) + bottom_pad); + AccessWindowStatic input1_access(input1, 0, 0, + input1->dimension(0), + input1->dimension(1)); + AccessWindowStatic output_access(output, 0, 0, + ceil_to_multiple(output->dimension(0), num_elems_processed_per_iteration_x), + output->dimension(1) + bottom_pad); + + window_changed = update_window_and_padding(win, input0_access, input1_access) || // window used by the execute_window_loop + update_window_and_padding(win_out, output_access); // window used to update the padding requirements of output tensor + + output_access.set_valid_region(win_out, ValidRegion(Coordinates(0, 0), output->tensor_shape())); + + // Collapse along the Z direction + // This collapse needs to be here in order to tune the Z dimension of LWS + Window collapsed = win; + const unsigned int dimension_to_collapse = std::min(static_cast(output->num_dimensions()), 2u); + collapsed = win.collapse(win, dimension_to_collapse); + + Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; + return std::make_pair(err, collapsed); +} +} // namespace + +CLGEMMMatrixMultiplyReshapedOnlyRHSKernel::CLGEMMMatrixMultiplyReshapedOnlyRHSKernel() + : _input0(nullptr), _input1(nullptr), _output(nullptr), _slide_matrix_b(true), _reinterpret_input_as_3d(false), _reinterpret_output_as_3d(false) +{ +} + +void CLGEMMMatrixMultiplyReshapedOnlyRHSKernel::configure(const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, float alpha, const GEMMLHSMatrixInfo &lhs_info, + const GEMMRHSMatrixInfo &rhs_info, const GEMMReshapeInfo &gemm_info) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(input0, input1, output); + + ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input0->info(), input1->info(), output->info(), alpha, lhs_info, rhs_info, gemm_info)); + + _input0 = input0; + _input1 = input1; + _output = output; + _reinterpret_input_as_3d = gemm_info.reinterpret_input_as_3d(); + _reinterpret_output_as_3d = (gemm_info.depth_output_gemm3d() != 0); + + // In case both input and output have to be reinterpreted as 3D tensors, + // force reinterpret_input_as_3d and reinterpret_output_as_3d to be false. + + // Check if we need to slide the matrix B + const unsigned int num_dimensions_input0 = _input0->info()->num_dimensions(); + _slide_matrix_b = (_input1->info()->num_dimensions() >= num_dimensions_input0); + + ElementsProcessed num_elements_processed{}; + + // Configure kernel window + auto win_config = validate_and_configure_window(input0->info(), input1->info(), output->info(), lhs_info, rhs_info, gemm_info, num_elements_processed); + ARM_COMPUTE_ERROR_THROW_ON(win_config.first); + ICLKernel::configure_internal(win_config.second); + + // Create build options + CLBuildOptions build_opts; + build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input0->info()->data_type())); + build_opts.add_option_if(std::abs(1.0f - alpha) > 0.00001f, "-DALPHA=" + float_to_string_with_full_precision(alpha)); + build_opts.add_option_if(_reinterpret_input_as_3d, "-DREINTERPRET_INPUT_AS_3D"); + build_opts.add_option_if(_reinterpret_output_as_3d, "-DREINTERPRET_OUTPUT_AS_3D"); + build_opts.add_option_if(_reinterpret_input_as_3d || _reinterpret_output_as_3d, "-DHEIGHT_GEMM3D=" + support::cpp11::to_string(output->info()->dimension(1))); + build_opts.add_option_if(_reinterpret_input_as_3d || _reinterpret_output_as_3d, "-DDEPTH_GEMM3D=" + support::cpp11::to_string(output->info()->dimension(2))); + build_opts.add_option_if(!_slide_matrix_b, "-DMATRIX_B_DEPTH=" + support::cpp11::to_string(input1->info()->dimension(2))); + build_opts.add_option_if(rhs_info.interleave, "-DRHS_INTERLEAVE"); + build_opts.add_option("-DK=" + support::cpp11::to_string(gemm_info.k())); + build_opts.add_option("-DM0=" + support::cpp11::to_string(lhs_info.m0)); + build_opts.add_option("-DN0=" + support::cpp11::to_string(rhs_info.n0)); + build_opts.add_option("-DK0=" + support::cpp11::to_string(rhs_info.k0)); + build_opts.add_option("-DH0=" + support::cpp11::to_string(rhs_info.h0)); + + + std::string kernel_name("gemm_mm_reshaped_only_rhs_"); + kernel_name += rhs_info.transpose ? "t" : "nt"; + + // Create kernel + _kernel = static_cast(CLKernelLibrary::get().create_kernel(kernel_name, build_opts.options())); + + // Set config_id for enabling LWS tuning + _config_id = kernel_name; + _config_id += "_"; + _config_id += (_reinterpret_input_as_3d ? "3di_" : ""); + _config_id += (_reinterpret_output_as_3d ? "3do_" : ""); + _config_id += lower_string(string_from_data_type(input0->info()->data_type())); + _config_id += "_"; + _config_id += support::cpp11::to_string(output->info()->dimension(1)); + _config_id += "_"; + _config_id += support::cpp11::to_string(output->info()->dimension(0)); + _config_id += "_"; + _config_id += support::cpp11::to_string(gemm_info.k()); + _config_id += "_"; + _config_id += support::cpp11::to_string(output->info()->dimension(2)); + _config_id += "_"; + _config_id += support::cpp11::to_string(lhs_info.m0); + _config_id += "_"; + _config_id += support::cpp11::to_string(rhs_info.n0); + _config_id += "_"; + _config_id += support::cpp11::to_string(rhs_info.k0); + _config_id += "_"; + _config_id += support::cpp11::to_string(rhs_info.h0); + _config_id += "_"; + _config_id += support::cpp11::to_string(rhs_info.interleave); +} + +Status CLGEMMMatrixMultiplyReshapedOnlyRHSKernel::validate(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output, float alpha, const GEMMLHSMatrixInfo &lhs_info, + const GEMMRHSMatrixInfo &rhs_info, const GEMMReshapeInfo &gemm_info) +{ + ElementsProcessed num_elements_processed{}; + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input0, input1, output, alpha, lhs_info, rhs_info, gemm_info)); + ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input0->clone().get(), + input1->clone().get(), + output->clone().get(), + lhs_info, + rhs_info, + gemm_info, + num_elements_processed) + .first); + + return Status{}; +} + +void CLGEMMMatrixMultiplyReshapedOnlyRHSKernel::run(const Window &window, cl::CommandQueue &queue) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); + + if(_input1->info()->num_dimensions() < 3) + { + // The stride_z for matrix B must be zero if we do not slice + ARM_COMPUTE_ERROR_ON(_input1->info()->strides_in_bytes()[3] != 0); + } + + Window slice = window.first_slice_window_3D(); + Window slice_matrix_b = slice; + + slice_matrix_b.set(Window::DimX, Window::Dimension(0, 1, 1)); + slice_matrix_b.set(Window::DimY, Window::Dimension(0, 1, 1)); + + if(_reinterpret_input_as_3d) + { + // Pass bottom paddings to the kernel if the input has to be reinterpreted as 3D tensor + const unsigned int idx0 = 3 * num_arguments_per_2D_tensor() + 3; + const unsigned int total_cross_plane_pad = _input0->info()->padding().top + _input0->info()->padding().bottom; + _kernel.setArg(idx0, static_cast(total_cross_plane_pad)); + } + + if(_reinterpret_output_as_3d) + { + // Pass bottom paddings to the kernel if the output has to be reinterpreted as 3D tensor + const unsigned int idx0 = 3 * num_arguments_per_2D_tensor() + 3 + (_reinterpret_input_as_3d ? 1 : 0); + const unsigned int total_cross_plane_pad = _output->info()->padding().top + _output->info()->padding().bottom; + _kernel.setArg(idx0, static_cast(total_cross_plane_pad)); + } + + do + { + Window slice_b = slice; + // Don't slice matrix B along the z dimension if matrix B has just 2 dimensions and matrix A more than 2 + // This scenario can happen when the matrix multiplication is used to perform a convolution operation + if(!_slide_matrix_b) + { + slice_b = slice_matrix_b; + } + + unsigned int idx = 0; + add_2D_tensor_argument(idx, _input0, slice); + add_2D_tensor_argument(idx, _input1, slice_b); + add_2D_tensor_argument(idx, _output, slice); + _kernel.setArg(idx++, static_cast(_input0->info()->strides_in_bytes()[2])); + _kernel.setArg(idx++, static_cast(_input1->info()->strides_in_bytes()[2])); + _kernel.setArg(idx++, static_cast(_output->info()->strides_in_bytes()[2])); + enqueue(queue, *this, slice, lws_hint()); + } + while(window.slide_window_slice_3D(slice)); +} +} // namespace arm_compute \ No newline at end of file -- cgit v1.2.1