commit 996c777eea8acb8ce816552e77050dbf388f62be
author Sheri Zhang <sheri.zhang@arm.com> Mon Aug 10 12:02:59 2020 +0100
committer Sheri Zhang <sheri.zhang@arm.com> Mon Aug 10 16:10:27 2020 +0000
tree 0c7134f56f773bba4df185ba5e1b393d2a8d5bf4
parent 4aed4aafa2ddb0b6f4b76aef5008c8bb45599ea4

COMPMID-3700: ArmNN OOB test failure

Fix ArmNN compiling issue through removing defulat template value for offset_no_padding() and pooling2_nchw_maxpool_indices().

Signed-off-by: Sheri Zhang <sheri.zhang@arm.com>
Change-Id: Ie7114d102b8533e757b8e841afcac1adfbcb3b54
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3697
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Pablo Marquez <pablo.tello@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

src/core/NEON/kernels/NEPoolingLayerKernel.cpp

diff --git a/src/core/NEON/kernels/NEPoolingLayerKernel.cpp b/src/core/NEON/kernels/NEPoolingLayerKernel.cpp
index 2bbc307..efd0aff 100644
--- a/src/core/NEON/kernels/NEPoolingLayerKernel.cpp
+++ b/src/core/NEON/kernels/NEPoolingLayerKernel.cpp
@@ -725,7 +725,7 @@
     INEKernel::configure(win_config.second);
 }
 
-template <typename T = float>
+template <typename T>
 inline uint32_t offset_no_padding(uint32_t padded_offset, const Coordinates &id, const ITensorInfo &info, int pool_stride_x, int pool_stride_y)
 {
     const int pad_left    = info.padding().left;
@@ -975,7 +975,7 @@
     return input;
 }
 
-template <typename T = float>
+template <typename T>
 void NEPoolingLayerKernel::pooling2_nchw_maxpool_indices(const Window &window_input, const Window &window)
 {
     Iterator  input(_input, window_input);
@@ -2043,7 +2043,7 @@
         // Store result
         vst1q_f32(reinterpret_cast<float *>(output.ptr()), vres);
 
-        const uint32_t   offset_base  = offset_no_padding(input.offset(), id, *_input->info(), pool_stride_x, pool_stride_y);
+        const uint32_t   offset_base  = offset_no_padding<float>(input.offset(), id, *_input->info(), pool_stride_x, pool_stride_y);
         const uint32_t   offset_x0    = (uint32_t)offset_base / sizeof(float);
         const uint32_t   offset_x1    = (uint32_t)offset_x0 + in_stride_y / sizeof(float) - pad_right;
         const uint32_t   offset_x2    = (uint32_t)offset_x0 + in_stride_z / sizeof(float) - pad_right * _input->info()->tensor_shape()[1];