aboutsummaryrefslogtreecommitdiff
path: root/src/core/NEON/kernels/NEGEMMTranspose1xWKernel.cpp
diff options
context:
space:
mode:
authorMoritz Pflanzer <moritz.pflanzer@arm.com>2017-07-05 16:34:28 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-09-17 14:15:39 +0100
commit0745a980c6a5e2d294bcd09f3c704e6cf4fe316d (patch)
tree9e4140ee657c23ca9497461019772aba4f9ba4dd /src/core/NEON/kernels/NEGEMMTranspose1xWKernel.cpp
parentb158fba3d2724abab70706f04069da6fc9146429 (diff)
downloadComputeLibrary-0745a980c6a5e2d294bcd09f3c704e6cf4fe316d.tar.gz
COMPMID-417: Fix assert in GEMMTranspose
The assert was checking the wrong thing. Only if the window over the input is smaller than the number of processed elements, the output shape would be empty. However, the valid region will be empty if the input's first dimension is less than the number of elements processed. That required the changes in TensorShape. Change-Id: I36fed7893dfd502e26c5c776c9a2d774d6cd91c6 Reviewed-on: http://mpd-gerrit.cambridge.arm.com/79813 Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Diffstat (limited to 'src/core/NEON/kernels/NEGEMMTranspose1xWKernel.cpp')
-rw-r--r--src/core/NEON/kernels/NEGEMMTranspose1xWKernel.cpp8
1 files changed, 5 insertions, 3 deletions
diff --git a/src/core/NEON/kernels/NEGEMMTranspose1xWKernel.cpp b/src/core/NEON/kernels/NEGEMMTranspose1xWKernel.cpp
index 881ef122a1..95063a7875 100644
--- a/src/core/NEON/kernels/NEGEMMTranspose1xWKernel.cpp
+++ b/src/core/NEON/kernels/NEGEMMTranspose1xWKernel.cpp
@@ -60,14 +60,16 @@ void NEGEMMTranspose1xWKernel::configure(const ITensor *input, ITensor *output)
ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(input, output);
const unsigned int num_elems_processed_per_iteration = 16 / input->info()->element_size();
- const float scale_x = num_elems_processed_per_iteration;
- ARM_COMPUTE_ERROR_ON((0 == static_cast<int>(input->info()->dimension(0) * (1.f / scale_x))));
+ const int scale_x = num_elems_processed_per_iteration;
_input = input;
_output = output;
// Configure kernel window
- Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration));
+ Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration));
+
+ ARM_COMPUTE_ERROR_ON_MSG((win.x().end() / scale_x) == 0, "Transposed shape would be 0 in the second dimension");
+
AccessWindowTranspose output_access(output->info(), 0, 0, num_elems_processed_per_iteration, 1, scale_x, 1.f / scale_x);
update_window_and_padding(win,