Implicit padding testing along the X axis on high priority operators
Add artificial implicit padding testing for the following fixtures:
- Scale
- FullyConnected
- Pooling
- DepthwiseConvolution
- DirectConvolution
- Winograd
- FFT
- GEMM/GEMMLowp
Create utility function that loops through a list of tensor and adds random padding based on the global seed (only for NHWC layer layout).
Remove GEMMLowpAssemblyFixture since it wasn't used
Remove some AssetsLibrary headers since they weren't used
Resolve COMPMID-4161
Change-Id: Ib6f4f7f113ae69b993d7b2a9e04abbf3de8c99fe
Signed-off-by: Giorgio Arena <giorgio.arena@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5327
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
diff --git a/tests/validation/Helpers.h b/tests/validation/Helpers.h
index 30ec14e..3ba3bd1 100644
--- a/tests/validation/Helpers.h
+++ b/tests/validation/Helpers.h
@@ -229,6 +229,15 @@
* @param[in] channel_id Channel id for per channel quantization info.
*/
std::pair<int, int> get_symm_quantized_per_channel_bounds(const QuantizationInfo &quant_info, float min, float max, size_t channel_id = 0);
+
+/** Add random padding along the X axis (between 1 and 16 columns per side) to all the input tensors
+ *
+ * @param[in] tensors List of tensors to add padding to
+ * @param[in] data_layout (Optional) Data layout of the operator
+ *
+ * @note This function adds padding to the input tensors only if data_layout == DataLayout::NHWC
+ */
+void add_padding_x(std::initializer_list<ITensor *> tensors, const DataLayout &data_layout = DataLayout::NHWC);
} // namespace validation
} // namespace test
} // namespace arm_compute