Fix Pooling Layer Bug when input is 1xN size
Return error in pooling layer when any calculated output dimension is less than 1.
Simplify use of pooling layer output dimension values in
CpuPoolingKernel.cpp.
Remove some invalid tests in cpu/gpu pooling layers.
Resolves COMPMID-4358.
Signed-off-by: Freddie Liardet <frederick.liardet@arm.com>
Change-Id: If8f8ffec579d3eca1c27a45e5b0b684a77103cff
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5559
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
diff --git a/arm_compute/core/Utils.h b/arm_compute/core/Utils.h
index d5c365e..af9a777 100644
--- a/arm_compute/core/Utils.h
+++ b/arm_compute/core/Utils.h
@@ -779,6 +779,20 @@
const PadStrideInfo &pad_stride_info,
const Size2D &dilation = Size2D(1U, 1U));
+/** Returns calculated width and height of output scaled tensor depending on dimensions rounding mode.
+ *
+ * @param[in] width Width of input tensor (Number of columns)
+ * @param[in] height Height of input tensor (Number of rows)
+ * @param[in] kernel_width Kernel width.
+ * @param[in] kernel_height Kernel height.
+ * @param[in] pad_stride_info Pad and stride information.
+ *
+ * @return A pair with the new width in the first position and the new height in the second, returned values can be < 1
+ */
+std::pair<int, int> scaled_dimensions_signed(int width, int height,
+ int kernel_width, int kernel_height,
+ const PadStrideInfo &pad_stride_info);
+
/** Check if the given reduction operation should be handled in a serial way.
*
* @param[in] op Reduction operation to perform