aboutsummaryrefslogtreecommitdiff
path: root/src/gpu/cl/kernels/ClGemmMatrixMultiplyReshapedKernel.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'src/gpu/cl/kernels/ClGemmMatrixMultiplyReshapedKernel.cpp')
-rw-r--r--src/gpu/cl/kernels/ClGemmMatrixMultiplyReshapedKernel.cpp55
1 files changed, 5 insertions, 50 deletions
diff --git a/src/gpu/cl/kernels/ClGemmMatrixMultiplyReshapedKernel.cpp b/src/gpu/cl/kernels/ClGemmMatrixMultiplyReshapedKernel.cpp
index f14a6f1900..d72d29ea1e 100644
--- a/src/gpu/cl/kernels/ClGemmMatrixMultiplyReshapedKernel.cpp
+++ b/src/gpu/cl/kernels/ClGemmMatrixMultiplyReshapedKernel.cpp
@@ -23,7 +23,6 @@
*/
#include "src/gpu/cl/kernels/ClGemmMatrixMultiplyReshapedKernel.h"
-#include "arm_compute/core/utils/ActivationFunctionUtils.h"
#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/CL/CLKernelLibrary.h"
#include "arm_compute/core/CL/ICLTensor.h"
@@ -31,11 +30,11 @@
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Validate.h"
-#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "arm_compute/core/utils/ActivationFunctionUtils.h"
#include "arm_compute/core/utils/StringUtils.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "src/core/CL/CLUtils.h"
#include "src/core/CL/CLValidate.h"
-#include "src/core/experimental/PostOpUtils.h"
#include "src/core/helpers/AutoConfiguration.h"
#include "src/core/helpers/WindowHelpers.h"
#include "src/core/utils/helpers/float_ops.h"
@@ -53,25 +52,6 @@ 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::Eltwise_PRelu }, { "_post_act_eltwise_op_act", { 2 } } },
-
- { { experimental::PostOpType::Activation, experimental::PostOpType::Eltwise_Add }, { "_post_act_eltwise_op_act", { 1, 2 } } },
- { { experimental::PostOpType::Activation, experimental::PostOpType::Eltwise_PRelu }, { "_post_act_eltwise_op_act", { 1, 2 } } },
-
- { { experimental::PostOpType::Eltwise_Add, experimental::PostOpType::Activation }, { "_post_act_eltwise_op_act", { 2, 3 } } },
- { { experimental::PostOpType::Eltwise_PRelu, 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 } } },
- { { experimental::PostOpType::Activation, experimental::PostOpType::Eltwise_PRelu, 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)
@@ -95,7 +75,6 @@ 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 && (src0->data_type() == DataType::F32), "Mixed precision only supported for F16 data type");
ARM_COMPUTE_RETURN_ON_ERROR(gemm::validate_image2d_support_on_rhs(*src1, rhs_info));
- 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;
@@ -139,7 +118,6 @@ 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{};
@@ -202,7 +180,6 @@ void ClGemmMatrixMultiplyReshapedKernel::configure(const CLCompileContext &compi
_use_dummy_work_items = preferred_dummy_work_items_support(CLKernelLibrary::get().get_device());
_add_bias = src2 != nullptr;
_export_to_cl_image = rhs_info.export_to_cl_image;
- _num_post_op_args = gemm_info.post_ops.total_num_arguments();
// Check if we need to slide the matrix B
const unsigned int num_dimensions_src0 = src0->num_dimensions();
@@ -260,23 +237,14 @@ void ClGemmMatrixMultiplyReshapedKernel::configure(const CLCompileContext &compi
build_opts.add_option("-DH0=" + support::cpp11::to_string(rhs_info.h0));
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));
- // 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()));
- }
+ 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_reshaped_");
kernel_name += lhs_info.transpose ? "lhs_t_" : "lhs_nt_";
kernel_name += rhs_info.transpose ? "rhs_t" : "rhs_nt";
kernel_name += rhs_info.export_to_cl_image ? "_texture" : "";
- post_op_utils.set_post_ops_cl_kernel_name(kernel_name, gemm_info.post_ops);
// A macro guard to compile ONLY the kernel of interest
build_opts.add_option("-D" + upper_string(kernel_name));
@@ -395,13 +363,6 @@ void ClGemmMatrixMultiplyReshapedKernel::run_op(ITensorPack &tensors, const Wind
// dst buffer
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);
- }
-
// LHS stride_z
_kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(src0->info()->strides_in_bytes()[2]));
@@ -417,12 +378,6 @@ void ClGemmMatrixMultiplyReshapedKernel::run_op(ITensorPack &tensors, const Wind
// dst stride_z
_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]));
- }
// Cross-plan padding (if _reinterpret_output_as_3d = true)
if(_reinterpret_output_as_3d)
{