From 93581a524a8e66ed29ace892bc5cb297287802af Mon Sep 17 00:00:00 2001 From: Pablo Marquez Tello Date: Thu, 21 Jul 2022 13:55:27 +0100 Subject: [ONCPUML-970] Fast math mode for fixed format kernels Minor tweaks and test for running fixed format kernels with BF16 operations when specified by the user. Change-Id: Ic8167f67b86b1298da65e46cfebed9f3b86940e4 Signed-off-by: Milos Puzovic Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8000 Tested-by: Arm Jenkins Reviewed-by: Gunes Bayir Comments-Addressed: Arm Jenkins Benchmark: Arm Jenkins --- src/cpu/operators/internal/CpuGemmAssemblyDispatch.cpp | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) (limited to 'src/cpu/operators/internal') diff --git a/src/cpu/operators/internal/CpuGemmAssemblyDispatch.cpp b/src/cpu/operators/internal/CpuGemmAssemblyDispatch.cpp index df02d649f8..77da83070b 100644 --- a/src/cpu/operators/internal/CpuGemmAssemblyDispatch.cpp +++ b/src/cpu/operators/internal/CpuGemmAssemblyDispatch.cpp @@ -25,6 +25,7 @@ #include "arm_compute/runtime/NEON/NEScheduler.h" #include "src/core/CPP/Validate.h" +#include "src/core/NEON/kernels/arm_gemm/utils.hpp" #include "src/core/helpers/MemoryHelpers.h" #include "src/core/utils/AssemblyUtils.h" #include "src/cpu/kernels/assembly/CpuGemmAssemblyWrapperKernel.h" @@ -507,14 +508,20 @@ void Fallback::run(ITensorPack &tensors) const TensorShape tensor_shape = tensor_info->tensor_shape(); const int tensor_height = tensor_shape[get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT)]; const int tensor_width = tensor_shape[get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH)]; - const int tensor_channels = tensor_shape[get_data_layout_dimension_index(data_layout, DataLayoutDimension::CHANNEL)]; + int tensor_channels = tensor_shape[get_data_layout_dimension_index(data_layout, DataLayoutDimension::CHANNEL)]; const int interleave_by = arm_compute::interleave_by(wf); + const int blocked_by = arm_compute::block_by(wf); // We need to find a new stride that is distance from the data for one // set of output channels to the next if(ldb == tensor_channels && multi_stride_b == tensor_channels * tensor_width) { // In this case dimensions that are packed are height, width and channel // so we need to stride it by interleave_by + if(tensor_channels % blocked_by != 0) + { + // We need to pad + tensor_channels = arm_gemm::iceildiv(tensor_channels, blocked_by) * blocked_by; + } ldb = interleave_by * tensor_height * tensor_width * tensor_channels; } else if(multi_stride_b == 0 || (ldb == tensor_width && multi_stride_b == tensor_height * tensor_width)) -- cgit v1.2.1