Account for eventual padding in Pooling assembly kernels

Resolves: COMPMID-4217

Change-Id: I8426a494ab0d3c6479de977cdab803d35bbe1e40
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4967
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: TeresaARM <teresa.charlinreyes@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

diff --git a/src/core/NEON/kernels/assembly/NEPoolingAssemblyWrapperKernel.cpp b/src/core/NEON/kernels/assembly/NEPoolingAssemblyWrapperKernel.cpp
index 7e58eaf44afb00e61619c7db460e4796ba22b8ed..04406663fc025a43054e19171bf7e31d599b65e3 100644 (file)
--- a/src/core/NEON/kernels/assembly/NEPoolingAssemblyWrapperKernel.cpp
+++ b/src/core/NEON/kernels/assembly/NEPoolingAssemblyWrapperKernel.cpp
@@ -148,7 +148,21 @@ void NEPoolingAssemblyWrapperKernel::run_op(ITensorPack &tensors, const Window &
     auto       out_ptr       = output->buffer() + output->info()->offset_first_element_in_bytes();
     auto       working_space = workspace->buffer() + workspace->info()->offset_first_element_in_bytes();
 
-    _kernel_asm->execute(in_ptr, out_ptr, working_space, info.thread_id, info.num_threads);
+    const auto input_shape    = input->info()->tensor_shape();
+    const auto output_shape   = output->info()->tensor_shape();
+    const auto input_padding  = input->info()->padding();
+    const auto output_padding = output->info()->padding();
+
+    const size_t ld_input_col    = input_shape[0] + input_padding.left + input_padding.right;
+    const size_t ld_input_row    = ld_input_col * (input_shape[1] + input_padding.top + input_padding.bottom);
+    const size_t ld_input_batch  = ld_input_row * input_shape[2];
+    const size_t ld_output_col   = output_shape[0] + output_padding.right;
+    const size_t ld_output_row   = ld_output_col * (output_shape[1] + output_padding.top + output_padding.bottom);
+    const size_t ld_output_batch = ld_output_row * output_shape[2];
+
+    _kernel_asm->execute(in_ptr, ld_input_col, ld_input_row, ld_input_batch,
+                         out_ptr, ld_output_col, ld_output_row, ld_output_batch,
+                         working_space, info.thread_id, info.num_threads);
 }
 
 size_t NEPoolingAssemblyWrapperKernel::get_working_size(unsigned int num_threads) const