diff options
Diffstat (limited to 'src/gpu/cl/kernels/ClGemmMatrixMultiplyNativeKernel.cpp')
| -rw-r--r-- | src/gpu/cl/kernels/ClGemmMatrixMultiplyNativeKernel.cpp | 55 |
1 files changed, 46 insertions, 9 deletions
diff --git a/src/gpu/cl/kernels/ClGemmMatrixMultiplyNativeKernel.cpp b/src/gpu/cl/kernels/ClGemmMatrixMultiplyNativeKernel.cpp index e389ce5b0c..7ad3d55fe0 100644 --- a/src/gpu/cl/kernels/ClGemmMatrixMultiplyNativeKernel.cpp +++ b/src/gpu/cl/kernels/ClGemmMatrixMultiplyNativeKernel.cpp @@ -33,6 +33,8 @@ #include "arm_compute/core/Validate.h" #include "arm_compute/core/utils/misc/ShapeCalculator.h" #include "src/core/AccessWindowStatic.h" +#include "src/core/CL/CLUtils.h" +#include "src/core/experimental/PostOp.h" #include "src/core/helpers/AutoConfiguration.h" #include "src/core/helpers/WindowHelpers.h" #include "src/core/utils/helpers/float_ops.h" @@ -49,6 +51,17 @@ namespace { using ElementsProcessed = Steps; +const auto post_op_utils = experimental::PostOpCLKernelUtils( +{ + // PostOp sequence -> {Kernel Postfix, PostOp Slots} + { {}, { "", {} } }, + { { experimental::PostOpType::Activation }, { "", { 1 } } }, + { { experimental::PostOpType::Eltwise_Add }, { "_post_act_eltwise_op_act", { 2 } } }, + { { experimental::PostOpType::Activation, experimental::PostOpType::Eltwise_Add }, { "_post_act_eltwise_op_act", { 1, 2 } } }, + { { experimental::PostOpType::Eltwise_Add, experimental::PostOpType::Activation }, { "_post_act_eltwise_op_act", { 2, 3 } } }, + { { experimental::PostOpType::Activation, experimental::PostOpType::Eltwise_Add, experimental::PostOpType::Activation }, { "_post_act_eltwise_op_act", { 1, 2, 3 } } } +}); + Status validate_arguments(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, float alpha, float beta, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info, const GEMMKernelInfo &gemm_info) @@ -68,6 +81,7 @@ Status validate_arguments(const ITensorInfo *src0, const ITensorInfo *src1, cons "Bias addition only supported with broadcast mode in case the input or dst has to be reinterpreted as 3D"); ARM_COMPUTE_RETURN_ERROR_ON_MSG(gemm_info.fp_mixed_precision, "Mixed precision not supported"); ARM_COMPUTE_RETURN_ERROR_ON_MSG(rhs_info.export_to_cl_image, "Export to CLImage not supported for GEMM native"); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(!post_op_utils.is_post_op_sequence_supported(gemm_info.post_ops), "The sequence of Post Ops is not supported"); const unsigned int m = gemm_info.m; const unsigned int n = gemm_info.n; @@ -110,6 +124,7 @@ Status validate_arguments(const ITensorInfo *src0, const ITensorInfo *src1, cons const TensorInfo tensor_info_dst = dst->clone()->set_tensor_shape(misc::shape_calculator::compute_mm_shape(*src0, *src1, gemm_info)); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(dst, &tensor_info_dst); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src0, dst); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(!post_op_utils.are_post_op_shapes_compliant(dst, gemm_info.post_ops), "The Post Op shapes are not compliant"); } return Status{}; @@ -170,16 +185,17 @@ void ClGemmMatrixMultiplyNativeKernel::configure(const CLCompileContext &compile { ARM_COMPUTE_ERROR_ON_NULLPTR(src0, src1, dst); - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src0, src1, src2, dst, alpha, beta, lhs_info, rhs_info, gemm_info)); - // dst tensor auto initialization if not yet initialized auto_init_if_empty(*dst, src0->clone()->set_tensor_shape(misc::shape_calculator::compute_mm_shape(*src0, *src1, gemm_info))); + ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src0, src1, src2, dst, alpha, beta, lhs_info, rhs_info, gemm_info)); + auto padding_info = get_padding_info({ src0, src1, src2, dst }); _reinterpret_input_as_3d = gemm_info.reinterpret_input_as_3d; _reinterpret_output_as_3d = gemm_info.depth_output_gemm3d != 0; _use_dummy_work_items = preferred_dummy_work_items_support(CLKernelLibrary::get().get_device()); _add_bias = src2 != nullptr; + _num_post_op_args = gemm_info.post_ops.total_num_arguments(); // In case both input and dst have to be reinterpreted as 3D tensors, // force reinterpret_input_as_3d and reinterpret_output_as_3d to be false. @@ -237,11 +253,20 @@ void ClGemmMatrixMultiplyNativeKernel::configure(const CLCompileContext &compile build_opts.add_option("-DK0=" + support::cpp11::to_string(rhs_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_if(gemm_info.activation_info.enabled(), "-DACTIVATION_TYPE=" + lower_string(string_from_activation_func(gemm_info.activation_info.activation()))); - build_opts.add_option_if(gemm_info.activation_info.enabled(), "-DA_VAL=" + float_to_string_with_full_precision(gemm_info.activation_info.a())); - build_opts.add_option_if(gemm_info.activation_info.enabled(), "-DB_VAL=" + float_to_string_with_full_precision(gemm_info.activation_info.b())); + // If post_ops are used, then we disable the use of gemm_info.activation_info + if(gemm_info.post_ops.size() > 0) + { + post_op_utils.set_post_ops_cl_build_options(build_opts, gemm_info.post_ops); + } + else + { + build_opts.add_option_if(gemm_info.activation_info.enabled(), "-DACTIVATION_TYPE=" + lower_string(string_from_activation_func(gemm_info.activation_info.activation()))); + build_opts.add_option_if(gemm_info.activation_info.enabled(), "-DA_VAL=" + float_to_string_with_full_precision(gemm_info.activation_info.a())); + build_opts.add_option_if(gemm_info.activation_info.enabled(), "-DB_VAL=" + float_to_string_with_full_precision(gemm_info.activation_info.b())); + } std::string kernel_name("gemm_mm_native"); + post_op_utils.set_post_ops_cl_kernel_name(kernel_name, gemm_info.post_ops); // Create kernel _kernel = create_kernel(compile_context, kernel_name, build_opts.options()); @@ -323,11 +348,11 @@ void ClGemmMatrixMultiplyNativeKernel::run_op(ITensorPack &tensors, const Window unsigned int idx0; if(_add_bias) { - idx0 = 4 * num_arguments_per_2D_tensor() + 4; + idx0 = (4 + _num_post_op_args) * num_arguments_per_2D_tensor() + (4 + _num_post_op_args); } else { - idx0 = 3 * num_arguments_per_2D_tensor() + 3; + idx0 = (3 + _num_post_op_args) * num_arguments_per_2D_tensor() + (3 + _num_post_op_args); } const unsigned int total_cross_plane_pad = src0->info()->padding().top + src0->info()->padding().bottom; _kernel.setArg<cl_uint>(idx0, static_cast<unsigned int>(total_cross_plane_pad)); @@ -339,11 +364,11 @@ void ClGemmMatrixMultiplyNativeKernel::run_op(ITensorPack &tensors, const Window unsigned int idx0; if(_add_bias) { - idx0 = 4 * num_arguments_per_2D_tensor() + 4 + (_reinterpret_input_as_3d ? 1 : 0); + idx0 = (4 + _num_post_op_args) * num_arguments_per_2D_tensor() + 4 + (_reinterpret_input_as_3d ? 1 : 0) + _num_post_op_args; } else { - idx0 = 3 * num_arguments_per_2D_tensor() + 3 + (_reinterpret_input_as_3d ? 1 : 0); + idx0 = (3 + _num_post_op_args) * num_arguments_per_2D_tensor() + 3 + (_reinterpret_input_as_3d ? 1 : 0) + _num_post_op_args; } const unsigned int total_cross_plane_pad = dst->info()->padding().top + dst->info()->padding().bottom; _kernel.setArg<cl_uint>(idx0, static_cast<unsigned int>(total_cross_plane_pad)); @@ -367,6 +392,12 @@ void ClGemmMatrixMultiplyNativeKernel::run_op(ITensorPack &tensors, const Window add_2D_tensor_argument(idx, src2, slice); } add_2D_tensor_argument(idx, dst, slice); + // post op argument buffers + for(size_t i = 0; i < _num_post_op_args; ++i) + { + const auto post_op_arg = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(experimental::get_post_op_arg_type(i))); + add_2D_tensor_argument(idx, post_op_arg, slice); + } _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(src0->info()->strides_in_bytes()[2])); _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(src1->info()->strides_in_bytes()[2])); if(_add_bias) @@ -374,6 +405,12 @@ void ClGemmMatrixMultiplyNativeKernel::run_op(ITensorPack &tensors, const Window _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(src2->info()->strides_in_bytes()[2])); } _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(dst->info()->strides_in_bytes()[2])); + // post op argument stride_z + for(size_t i = 0; i < _num_post_op_args; ++i) + { + const auto post_op_arg = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(experimental::get_post_op_arg_type(i))); + _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(post_op_arg->info()->strides_in_bytes()[2])); + } enqueue(queue, *this, slice, lws_hint(), _use_dummy_work_items); } while(window.slide_window_slice_3D(slice)); |