diff options
Diffstat (limited to 'src/core/CL/kernels/CLGEMMMatrixMultiplyKernel.cpp')
-rw-r--r-- | src/core/CL/kernels/CLGEMMMatrixMultiplyKernel.cpp | 75 |
1 files changed, 67 insertions, 8 deletions
diff --git a/src/core/CL/kernels/CLGEMMMatrixMultiplyKernel.cpp b/src/core/CL/kernels/CLGEMMMatrixMultiplyKernel.cpp index 19f38bf5a5..e23feb269a 100644 --- a/src/core/CL/kernels/CLGEMMMatrixMultiplyKernel.cpp +++ b/src/core/CL/kernels/CLGEMMMatrixMultiplyKernel.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -36,24 +36,68 @@ #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 <set> #include <string> using namespace arm_compute; +using namespace arm_compute::misc::shape_calculator; namespace { using ElementsProcessed = Steps; -inline Status validate_arguments(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output, bool is_interleaved_transposed) +inline Status validate_arguments(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output, bool is_interleaved_transposed, const GEMMReshapeInfo &reshape_info) { ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input0, 1, DataType::QS8, DataType::QS16, DataType::F16, DataType::F32); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input0, input1, output); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input0, input1, output); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input0, input1); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input0, input1); + if(!is_interleaved_transposed) { ARM_COMPUTE_RETURN_ERROR_ON(input0->dimension(0) != input1->dimension(1)); + + if(output->total_size() != 0) + { + ARM_COMPUTE_RETURN_ERROR_ON(input1->dimension(0) != output->dimension(0)); + ARM_COMPUTE_RETURN_ERROR_ON(input0->dimension(1) != output->dimension(1)); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input0, output); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input0, output); + } + } + else + { + const int m = reshape_info.m(); + const int n = reshape_info.n(); + const int k = reshape_info.k(); + const int mult_transpose1xW_width = reshape_info.mult_transpose1xW_width(); + const int mult_interleave4x4_height = reshape_info.mult_interleave4x4_height(); + + 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_reshaped0 = input0->clone()->set_tensor_shape(compute_interleaved_shape(tensor_info0, mult_interleave4x4_height)); + const TensorInfo tensor_info_reshaped1 = input1->clone()->set_tensor_shape(compute_transpose1xW_with_element_size_shape(tensor_info1, mult_transpose1xW_width)); + + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input0, &tensor_info_reshaped0); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input1, &tensor_info_reshaped1); + + if(output->total_size() != 0) + { + ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(0) != static_cast<size_t>(n)); + ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(1) != static_cast<size_t>(m)); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input0, output); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input0, output); + } } return Status{}; @@ -122,12 +166,19 @@ CLGEMMMatrixMultiplyKernel::CLGEMMMatrixMultiplyKernel() { } -void CLGEMMMatrixMultiplyKernel::configure(const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, float alpha, bool is_interleaved_transposed) +void CLGEMMMatrixMultiplyKernel::configure(const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, float alpha, bool is_interleaved_transposed, const GEMMReshapeInfo &reshape_info) { ARM_COMPUTE_ERROR_ON_NULLPTR(input0, input1, output); + // Output tensor auto inizialitation if not yet initialized + TensorShape tensor_shape{ input0->info()->tensor_shape() }; + tensor_shape.set(0, is_interleaved_transposed ? reshape_info.n() : input1->info()->dimension(0)); + tensor_shape.set(1, is_interleaved_transposed ? reshape_info.m() : input0->info()->dimension(1)); + + auto_init_if_empty(*output->info(), input0->info()->clone()->set_tensor_shape(tensor_shape)); + // Perform validate step - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input0->info(), input1->info(), output->info(), is_interleaved_transposed)); + ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input0->info(), input1->info(), output->info(), is_interleaved_transposed, reshape_info)); _input0 = input0; _input1 = input1; @@ -176,7 +227,13 @@ void CLGEMMMatrixMultiplyKernel::configure(const ICLTensor *input0, const ICLTen std::string kernel_name; if(is_interleaved_transposed) { + const int mult_transpose1xW_width = reshape_info.mult_transpose1xW_width(); + const int mult_interleave4x4_height = reshape_info.mult_interleave4x4_height(); + build_opts.add_option("-DCOLS_B=" + support::cpp11::to_string(input1->info()->dimension(0))); + build_opts.add_option("-DMULT_TRANSPOSE1XW_WIDTH=" + support::cpp11::to_string(mult_transpose1xW_width)); + build_opts.add_option("-DMULT_INTERLEAVE4X4_HEIGHT=" + support::cpp11::to_string(mult_interleave4x4_height)); + if(data_type == DataType::F32) { kernel_name = "gemm_mm_interleaved_transposed_f32_" + string_from_target(arch_target); @@ -230,11 +287,13 @@ void CLGEMMMatrixMultiplyKernel::configure(const ICLTensor *input0, const ICLTen _config_id += (is_interleaved_transposed ? support::cpp11::to_string(input1->info()->dimension(0)) : support::cpp11::to_string(input1->info()->dimension(1))); } -Status CLGEMMMatrixMultiplyKernel::validate(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output, float alpha, bool is_interleaved_transposed, GPUTarget gpu_target) +Status CLGEMMMatrixMultiplyKernel::validate(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output, float alpha, bool is_interleaved_transposed, + const GEMMReshapeInfo &reshape_info, GPUTarget gpu_target) { + // Note: num_elements_processed will be set in validate_and_configure_window() ElementsProcessed num_elements_processed{}; ARM_COMPUTE_UNUSED(alpha); - ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input0, input1, output, is_interleaved_transposed)); + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input0, input1, output, is_interleaved_transposed, reshape_info)); ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input0->clone().get(), input1->clone().get(), output->clone().get(), |