commit 8b6b4a959a49127d64293f8b60265f0f5ed486d4
author giuros01 <giuseppe.rossini@arm.com> Tue Dec 18 19:01:33 2018 +0000
committer Giuseppe Rossini <giuseppe.rossini@arm.com> Fri Dec 21 13:10:28 2018 +0000
tree df36cb65359c55d844f33b16e34df7827711ec20
parent 8e5174c1b9531e8e9c457c2b976cf2c929825e73

COMPMID-1836: Remove CLGEMMTranspose1xWKernel and replace with CLGEMMReshapeRHSMatrixKernel

Change-Id: Ic5a4f32657a155380684dcd4b44fbb608ef40cb4
Reviewed-on: https://review.mlplatform.org/418
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>

src/runtime/CL/functions/CLGEMM.cpp

diff --git a/src/runtime/CL/functions/CLGEMM.cpp b/src/runtime/CL/functions/CLGEMM.cpp
index d0db876..9048b85 100644
--- a/src/runtime/CL/functions/CLGEMM.cpp
+++ b/src/runtime/CL/functions/CLGEMM.cpp
@@ -118,7 +118,6 @@
 CLGEMM::CLGEMM(std::shared_ptr<IMemoryManager> memory_manager)
     : _memory_group(std::move(memory_manager)),
       _interleave_kernel(),
-      _transpose_kernel(),
       _mm_kernel(),
       _ma_kernel(),
       _reshape_lhs_kernel(),
@@ -174,13 +173,18 @@
         mult_transpose1xW_width   = 4;
         mult_interleave4x4_height = 2;
     }
+    GEMMRHSMatrixInfo rhs_info;
+    rhs_info.n0         = 16 / b->info()->element_size();
+    rhs_info.k0         = 1;
+    rhs_info.h0         = mult_transpose1xW_width;
+    rhs_info.interleave = false;
+    rhs_info.transpose  = false;
 
     // Check if we need to reshape the matrix A and matrix B
     _is_interleaved_transposed = is_interleaved_transposed(m, n, k, a->info()->data_type(), _reshape_b_only_on_first_run, gpu_target);
 
     // Check if we can run the new reshaped GEMM
     _is_G76_path = (gpu_target == GPUTarget::G76) && _is_interleaved_transposed && (data_type == DataType::F32);
-    ;
 
     // if _is_interleaved_transposed is set, force reinterpret_input_as_3d to be false as the output of CLGEMMInterleaveKernel will be 2D
     if(_is_interleaved_transposed)
@@ -201,7 +205,6 @@
         if(_is_G76_path)
         {
             GEMMLHSMatrixInfo lhs_info;
-            GEMMRHSMatrixInfo rhs_info;
 
             // Pick up the GEMM configuration based on M,N and K
             select_gemm_configuration(m, n, lhs_info, rhs_info);
@@ -219,7 +222,7 @@
             _interleave_kernel.configure(a, &_tmp_a, mult_interleave4x4_height, gemm_info.reinterpret_input_as_3d());
 
             // Configure transpose kernel
-            _transpose_kernel.configure(b, &_tmp_b, mult_transpose1xW_width);
+            _reshape_rhs_kernel.configure(b, &_tmp_b, rhs_info);
         }
     }
 
@@ -286,6 +289,13 @@
         mult_interleave4x4_height = 2;
     }
 
+    GEMMRHSMatrixInfo rhs_info;
+    rhs_info.n0         = 16 / b->element_size();
+    rhs_info.k0         = 1;
+    rhs_info.h0         = mult_transpose1xW_width;
+    rhs_info.interleave = false;
+    rhs_info.transpose  = false;
+
     // Check if we need to reshape the matrix A and matrix B
     const bool run_interleave_transpose = is_interleaved_transposed(m, n, k, a->data_type(), reshape_b_only_on_first_run, gpu_target);
 
@@ -308,7 +318,6 @@
         if(is_G76_path)
         {
             GEMMLHSMatrixInfo lhs_info;
-            GEMMRHSMatrixInfo rhs_info;
 
             // Pick up the GEMM configuration based on M,N and K
             select_gemm_configuration(m, n, lhs_info, rhs_info);
@@ -328,10 +337,9 @@
             // Validate interleave kernel
             auto_init_if_empty(tmp_a_info, a->clone()->set_tensor_shape(compute_interleaved_shape(*a, mult_interleave4x4_height, gemm_info.reinterpret_input_as_3d())));
             ARM_COMPUTE_RETURN_ON_ERROR(CLGEMMInterleave4x4Kernel::validate(a, &tmp_a_info, mult_interleave4x4_height, gemm_info.reinterpret_input_as_3d()));
-
             // Validate transpose kernel
-            auto_init_if_empty(tmp_b_info, b->clone()->set_tensor_shape(compute_transpose1xW_with_element_size_shape(*b, mult_transpose1xW_width)));
-            ARM_COMPUTE_RETURN_ON_ERROR(CLGEMMTranspose1xWKernel::validate(b, &tmp_b_info, mult_transpose1xW_width));
+            auto_init_if_empty(tmp_b_info, b->clone()->set_tensor_shape(compute_rhs_reshaped_shape(*b, rhs_info)));
+            ARM_COMPUTE_RETURN_ON_ERROR(CLGEMMReshapeRHSMatrixKernel::validate(b, &tmp_b_info, rhs_info));
         }
     }
 
@@ -371,14 +379,7 @@
         if(!_reshape_b_only_on_first_run)
         {
             // Run transpose kernel
-            if(_is_G76_path)
-            {
-                CLScheduler::get().enqueue(_reshape_rhs_kernel, false);
-            }
-            else
-            {
-                CLScheduler::get().enqueue(_transpose_kernel, false);
-            }
+            CLScheduler::get().enqueue(_reshape_rhs_kernel, false);
         }
     }
 
@@ -409,14 +410,7 @@
         {
             // Run transpose kernel and mark original weights tensor as unused
             _tmp_b.allocator()->allocate();
-            if(_is_G76_path)
-            {
-                CLScheduler::get().enqueue(_reshape_rhs_kernel, false);
-            }
-            else
-            {
-                CLScheduler::get().enqueue(_transpose_kernel, false);
-            }
+            CLScheduler::get().enqueue(_reshape_rhs_kernel, false);
             _original_b->mark_as_unused();
         }
         CLScheduler::get().queue().finish();