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authorGian Marco Iodice <gianmarco.iodice@arm.com>2018-11-05 14:26:32 +0000
committerGian Marco Iodice <gianmarco.iodice@arm.com>2018-11-08 13:31:33 +0000
commit3139f03a74ede3b3bd7cfc6ff219e6c9bc556632 (patch)
treecd67b8c9ec1688fcf739c576553b10e435e6938e /src/runtime/NEON/functions/NEGEMM.cpp
parent421405b6a21b124288a750e2da26dc01eb7391cb (diff)
downloadComputeLibrary-3139f03a74ede3b3bd7cfc6ff219e6c9bc556632.tar.gz
COMPMID-1736: Fixed out-of-bound write in CLIm2Col
The issue was related to CLIm2Col when the number of input channels was less than the number of elements processed by each thread. The bug has been fixed in the validate_and_configure_window() function setting the correct number of elements accessed in the output tensor. Also fixed an issue GEMM3D when we have a single output channel Change-Id: I094292d0c7662599c4a4c3916ec5f5821df5faef
Diffstat (limited to 'src/runtime/NEON/functions/NEGEMM.cpp')
-rw-r--r--src/runtime/NEON/functions/NEGEMM.cpp6
1 files changed, 3 insertions, 3 deletions
diff --git a/src/runtime/NEON/functions/NEGEMM.cpp b/src/runtime/NEON/functions/NEGEMM.cpp
index 321ecf85d8..e8bf6732b2 100644
--- a/src/runtime/NEON/functions/NEGEMM.cpp
+++ b/src/runtime/NEON/functions/NEGEMM.cpp
@@ -140,7 +140,7 @@ Status NEGEMM::validate(const ITensorInfo *a, const ITensorInfo *b, const ITenso
if(c != nullptr)
{
- ARM_COMPUTE_RETURN_ERROR_ON(gemm_info.depth_output_gemm3d() != 1);
+ ARM_COMPUTE_RETURN_ERROR_ON(gemm_info.depth_output_gemm3d() != 0);
ARM_COMPUTE_RETURN_ERROR_ON(gemm_info.reinterpret_input_as_3d());
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(a, c);
ARM_COMPUTE_RETURN_ERROR_ON_MSG(a->dimension(1) != c->dimension(1), "The C matrix must have the same number of rows as the matrix A");
@@ -150,7 +150,7 @@ Status NEGEMM::validate(const ITensorInfo *a, const ITensorInfo *b, const ITenso
if(output->total_size() != 0)
{
ARM_COMPUTE_RETURN_ERROR_ON(b->dimension(0) != output->dimension(0));
- if(gemm_info.depth_output_gemm3d() != 1)
+ if(gemm_info.depth_output_gemm3d() != 0)
{
if(gemm_info.reinterpret_input_as_3d())
{
@@ -174,7 +174,7 @@ Status NEGEMM::validate(const ITensorInfo *a, const ITensorInfo *b, const ITenso
if(!run_optimised)
{
ARM_COMPUTE_RETURN_ERROR_ON_MSG(gemm_info.reinterpret_input_as_3d(), "NEGEMM cannot reinterpret the input tensor as 3D");
- ARM_COMPUTE_RETURN_ERROR_ON_MSG(gemm_info.depth_output_gemm3d() != 1, "NEGEMM cannot reinterpret the output tensor as 3D");
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(gemm_info.depth_output_gemm3d() != 0, "NEGEMM cannot reinterpret the output tensor as 3D");
// Check if the first input tensor is a vector.
const bool run_vector_matrix_multiplication = a->dimension(1) < 2;