commit 0d27b2ee8d811d66693555ac1e7be44d93e662e2
author Jakub Sujak <jakub.sujak@arm.com> Thu Aug 24 14:01:20 2023 +0100
committer Jakub Sujak <jakub.sujak@arm.com> Mon Sep 04 14:41:16 2023 +0000
tree 8b62a464a8bb9cd46702c8b5a60f3a97e3821b41
parent 7ff03b67ba7ce669223f4d807e18fa3efa2f729b

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>

src/cpu/operators/CpuGemmConv2d.cpp

diff --git a/src/cpu/operators/CpuGemmConv2d.cpp b/src/cpu/operators/CpuGemmConv2d.cpp
index d11e4f0..39b410d 100644
--- a/src/cpu/operators/CpuGemmConv2d.cpp
+++ b/src/cpu/operators/CpuGemmConv2d.cpp
@@ -107,7 +107,7 @@
     // Create GEMMInfo structure
     const GEMMInfo &gemm_info = GEMMInfo(false, false, true /* Reshape weights only for the first run */,
                                          gemm_3d_depth, _skip_im2col /* Reinterpret the input as 3D if im2col is skipped */,
-                                         false, GEMMLowpOutputStageInfo(), false, enable_fast_math, false, act_info, experimental::PostOpList<ITensorInfo *>(), fixed_format, weight_format);
+                                         false, GEMMLowpOutputStageInfo(), false, enable_fast_math, false, act_info, fixed_format, weight_format);
 
     // Supported activations in GEMM
     const std::set<ActivationLayerInfo::ActivationFunction> supported_acts = { ActivationLayerInfo::ActivationFunction::RELU,
@@ -156,8 +156,8 @@
         quantization::calculate_quantized_multipliers(iqinfo, wqinfo, oqinfo, output_info);
 
         _mm_gemmlowp = std::make_unique<CpuGemmLowpMatrixMultiplyCore>();
-        _mm_gemmlowp->configure(&tmp_src, &tmp_weights, biases, dst, GEMMInfo(false, false, true, gemm_3d_depth, _skip_im2col, false, output_info, false, enable_fast_math, false, act_info,
-                                                                              experimental::PostOpList<ITensorInfo *>(), fixed_format, weight_format));
+        _mm_gemmlowp->configure(&tmp_src, &tmp_weights, biases, dst, GEMMInfo(false, false, true, gemm_3d_depth, _skip_im2col, false, output_info, false, enable_fast_math, false, act_info, fixed_format,
+                                                                              weight_format));
 
         auto mm_mem_req = _mm_gemmlowp->workspace();
         for(unsigned int cont = 0; cont < mm_mem_req.size(); ++cont)
@@ -188,7 +188,7 @@
     // Create GEMMInfo structure
     const GEMMInfo gemm_info = GEMMInfo(false, false, true /* Reshape weights only for the first run */,
                                         gemm_3d_depth, skip_im2col /* Reinterpret the input as 3D if im2col is skipped */,
-                                        false, GEMMLowpOutputStageInfo(), false, enable_fast_math, false, act_info, experimental::PostOpList<ITensorInfo *>(), fixed_format, weight_format);
+                                        false, GEMMLowpOutputStageInfo(), false, enable_fast_math, false, act_info, fixed_format, weight_format);
 
     if(is_quantized)
     {
@@ -422,7 +422,7 @@
     const bool         fixed_format  = weights_info.weight_format() != arm_compute::WeightFormat::UNSPECIFIED;
     const GEMMInfo     gemm_info     = GEMMInfo(false, false, true /* Reshape weights only for the first run */,
                                                 gemm_3d_depth, skip_im2col /* Reinterpret the input as 3D if im2col is skipped */,
-                                                false, GEMMLowpOutputStageInfo(), false, enable_fast_math, false, act_info, experimental::PostOpList<ITensorInfo *>(), fixed_format, weights_info.weight_format());
+                                                false, GEMMLowpOutputStageInfo(), false, enable_fast_math, false, act_info, fixed_format, weights_info.weight_format());
 
     return CpuGemm::has_opt_impl(expected_weight_format, src, weights, biases, dst, gemm_info);
 }