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Diffstat (limited to 'src/gpu/cl/kernels/ClNativeMatMulKernel.cpp')
| -rw-r--r-- | src/gpu/cl/kernels/ClNativeMatMulKernel.cpp | 192 |
1 files changed, 192 insertions, 0 deletions
diff --git a/src/gpu/cl/kernels/ClNativeMatMulKernel.cpp b/src/gpu/cl/kernels/ClNativeMatMulKernel.cpp new file mode 100644 index 0000000000..6a4db65922 --- /dev/null +++ b/src/gpu/cl/kernels/ClNativeMatMulKernel.cpp @@ -0,0 +1,192 @@ +/* + * 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/gpu/cl/kernels/ClNativeMatMulKernel.h" +#include "arm_compute/core/CL/ICLTensor.h" +#include "arm_compute/core/TensorInfo.h" +#include "arm_compute/core/utils/misc/ShapeCalculator.h" +#include "src/core/helpers/AutoConfiguration.h" + +#include "arm_compute/core/ITensorPack.h" +#include "src/common/utils/Log.h" +#include "src/core/helpers/WindowHelpers.h" +#include "support/Cast.h" +#include "utils/TypePrinter.h" + +namespace arm_compute +{ +namespace opencl +{ +namespace kernels +{ +namespace +{ +Status validate_matmul_kernel_info(const MatMulKernelInfo &matmul_kernel_info) +{ + const bool adj_lhs = matmul_kernel_info.adj_lhs; + const bool adj_rhs = matmul_kernel_info.adj_rhs; + const int m0 = matmul_kernel_info.m0; + const int n0 = matmul_kernel_info.n0; + const int k0 = matmul_kernel_info.k0; + + // Validate M0 + if(!adj_lhs) + { + // We support any positive integer, but will test & benchmark only 1 to 8 because > 8 will not efficient + ARM_COMPUTE_RETURN_ERROR_ON_MSG(m0 < 1, "Only positive integers are supported for M0 for Lhs non-transposed"); + } + else + { + ARM_COMPUTE_RETURN_ERROR_ON_MSG((m0 & (m0 - 1)) && (m0 != 3) && (m0 > 16), "Only 1,2,3,4,8,16 are supported for N0 for Lhs transposed"); + } + + // Validate N0 + ARM_COMPUTE_RETURN_ERROR_ON_MSG((n0 & (n0 - 1)) && (n0 != 3) && (n0 > 16), "Only 1,2,3,4,8,16 are supported for N0"); + + // Validate K0 + if(adj_lhs && !adj_rhs) + { + // We support any positive integer, but will test & benchmark only 1 to 8 because > 8 will not efficient + ARM_COMPUTE_RETURN_ERROR_ON_MSG(k0 < 1, "Only positive integers are supported for K0 for Lhs transposed & Rhs non-transposed"); + } + else + { + ARM_COMPUTE_RETURN_ERROR_ON_MSG((k0 & (k0 - 1)) && (k0 != 3) && (k0 > 16), "Only 1,2,3,4,8,16 are supported for K0"); + } + + return Status{}; +} +} +ClNativeMatMulKernel::ClNativeMatMulKernel() +{ + _type = CLKernelType::GEMM; +} +Status ClNativeMatMulKernel::validate(const ITensorInfo *lhs, const ITensorInfo *rhs, const ITensorInfo *output, const MatMulKernelInfo &matmul_kernel_info) +{ + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(lhs, rhs, output); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(lhs, 1, DataType::F32, DataType::F16); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(lhs, rhs); + ARM_COMPUTE_RETURN_ON_ERROR(validate_matmul_kernel_info(matmul_kernel_info)); + + if(output->total_size() != 0) + { + const TensorInfo tensor_info_output = output->clone()->set_tensor_shape(misc::shape_calculator::compute_batchmatmul_shape(lhs->tensor_shape(), rhs->tensor_shape(), matmul_kernel_info)); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(output, &tensor_info_output); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(lhs, output); + } + ARM_COMPUTE_RETURN_ERROR_ON_MSG(matmul_kernel_info.adj_lhs && matmul_kernel_info.adj_rhs, "LHS T and RHS T not implemented"); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(matmul_kernel_info.adj_lhs && !matmul_kernel_info.adj_rhs, "LHS T and RHS NT not implemented"); + + return Status{}; +} +void ClNativeMatMulKernel::configure(const ClCompileContext &compile_context, ITensorInfo *lhs, ITensorInfo *rhs, ITensorInfo *output, const MatMulKernelInfo &matmul_kernel_info) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(lhs, rhs, output, &compile_context, &matmul_kernel_info); + ARM_COMPUTE_LOG_PARAMS(lhs, rhs, output, matmul_kernel_info); + + // output tensor auto initialization if not yet initialized + auto_init_if_empty(*output, lhs->clone()->set_tensor_shape(misc::shape_calculator::compute_batchmatmul_shape(lhs->tensor_shape(), rhs->tensor_shape(), matmul_kernel_info))); + ARM_COMPUTE_ERROR_THROW_ON(validate(lhs, rhs, output, matmul_kernel_info)); + + const int m = output->dimension(1); + const int n = output->dimension(0); + const int k = matmul_kernel_info.adj_lhs ? lhs->tensor_shape().y() : lhs->tensor_shape().x(); + + int m0 = std::min(matmul_kernel_info.m0, m); + int n0 = adjust_vec_size(matmul_kernel_info.n0, n); + + // Configure kernel window + Window win = calculate_max_window(*output, Steps(n0, m0)); + win = win.collapse(win, Window::DimZ); + IClKernel::configure_internal(win); + + // Calculate partial (store instead of load) M0 and partial N0 for the partial blocks at the end of a row/column if any. This is to avoid padding. + const unsigned int partial_store_m0 = m % m0; // M is output->dimension(1) + const unsigned int partial_store_n0 = n % n0; // N is output->dimension(0) + + CLBuildOptions build_opts; + build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(lhs->data_type())); + build_opts.add_option("-DM0=" + support::cpp11::to_string(m0)); + build_opts.add_option("-DN0=" + support::cpp11::to_string(n0)); + build_opts.add_option("-DK0=" + support::cpp11::to_string(matmul_kernel_info.k0)); + build_opts.add_option("-DPARTIAL_STORE_M0=" + support::cpp11::to_string(partial_store_m0)); + build_opts.add_option("-DPARTIAL_STORE_N0=" + support::cpp11::to_string(partial_store_n0)); + build_opts.add_option("-DK=" + support::cpp11::to_string(k)); + + std::string kernel_name("mat_mul_native"); + kernel_name += matmul_kernel_info.adj_lhs ? "_t" : "_nt"; + kernel_name += matmul_kernel_info.adj_rhs ? "_t" : "_nt"; + + if(matmul_kernel_info.adj_lhs) + { + ARM_COMPUTE_ERROR("Only Implemented LHS non-transposed kernels"); + } + + // A macro guard to compile ONLY the kernel of interest + build_opts.add_option("-D" + upper_string(kernel_name)); + + // Create kernel + _kernel = create_kernel(compile_context, kernel_name, build_opts.options()); + + // Set config_id for enabling LWS tuning + _config_id = kernel_name; + _config_id += "_"; + _config_id += lower_string(string_from_data_type(lhs->data_type())); + _config_id += "_"; + _config_id += support::cpp11::to_string(output->dimension(1)); + _config_id += "_"; + _config_id += support::cpp11::to_string(output->dimension(0)); + _config_id += "_"; + _config_id += support::cpp11::to_string(output->dimension(2)); + _config_id += "_"; + _config_id += support::cpp11::to_string(m0); + _config_id += "_"; + _config_id += support::cpp11::to_string(n0); + _config_id += "_"; + _config_id += support::cpp11::to_string(matmul_kernel_info.k0); +} + +void ClNativeMatMulKernel::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 ICLTensor *lhs = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_0)); + const ICLTensor *rhs = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_1)); + ICLTensor *output = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST)); + ARM_COMPUTE_ERROR_ON_NULLPTR(lhs, rhs, output); + ARM_COMPUTE_LOG_PARAMS(lhs, rhs, output); + + unsigned int idx = 0; + Window window_collapsed = window.collapse(ICLKernel::window(), Window::DimZ); + + add_3d_tensor_nhw_argument(idx, lhs); + add_3d_tensor_nhw_argument(idx, rhs); + add_3d_tensor_nhw_argument(idx, output); + + enqueue(queue, *this, window_collapsed, lws_hint()); +} + +} // namespace kernels +} // namespace opencl +} // namespace arm_compute |