Remove legacy PostOps code

PostOps was the experimental interface for Dynamic Fusion. It is now
replaced by the new Dynamic Fusion interface with code generation using
the Compute Kernel Writer.

Resolves: COMPMID-6190

Change-Id: I813b48facef2fd6f3aee332588886b4f9b3d33d8
Signed-off-by: Jakub Sujak <jakub.sujak@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10219
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: SiCong Li <sicong.li@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

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)
         {