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Diffstat (limited to 'src/core/NEON/kernels/NEWeightsReshapeKernel.cpp')
-rw-r--r--src/core/NEON/kernels/NEWeightsReshapeKernel.cpp10
1 files changed, 5 insertions, 5 deletions
diff --git a/src/core/NEON/kernels/NEWeightsReshapeKernel.cpp b/src/core/NEON/kernels/NEWeightsReshapeKernel.cpp
index e9b76e7967..ac688e1381 100644
--- a/src/core/NEON/kernels/NEWeightsReshapeKernel.cpp
+++ b/src/core/NEON/kernels/NEWeightsReshapeKernel.cpp
@@ -97,13 +97,13 @@ void NEWeightsReshapeKernel::configure(const ITensor *input, const ITensor *bias
{
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QS8, DataType::F16, DataType::F32);
ARM_COMPUTE_ERROR_ON_NULLPTR(output);
- ARM_COMPUTE_ERROR_ON(input->info()->dimension(0) != input->info()->dimension(1));
- const DataType dt = input->info()->data_type();
- const int fixed_point_position = input->info()->fixed_point_position();
-
- TensorShape output_shape{ input->info()->tensor_shape() };
+ const int fixed_point_position = input->info()->fixed_point_position();
+ const DataType dt = input->info()->data_type();
+ const TensorShape &input_shape = input->info()->tensor_shape();
+ TensorShape output_shape{ input_shape };
output_shape.collapse(3);
+
const size_t tmp_dim = output_shape[0];
output_shape.set(0, output_shape[1]);
output_shape.set(1, tmp_dim + (bias != nullptr ? 1 : 0));