COMPMID-2920: NEInstanceNormalization fails on NHWC validations
Improved TensorInfo to accept DataLayout, useful to test the validate functions
Removing nighlies tests
Moving all vpadds instructions in add.h
Change-Id: I96290a6f26272eae865dba48bbc3c6aee4bc0214
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/2287
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
diff --git a/arm_compute/core/NEON/kernels/NEInstanceNormalizationLayerKernel.h b/arm_compute/core/NEON/kernels/NEInstanceNormalizationLayerKernel.h
index 9745d26..c341197 100644
--- a/arm_compute/core/NEON/kernels/NEInstanceNormalizationLayerKernel.h
+++ b/arm_compute/core/NEON/kernels/NEInstanceNormalizationLayerKernel.h
@@ -53,6 +53,7 @@
/** Set the input and output tensors.
*
* @param[in, out] input Source tensor. Data types supported: F16/F32. Data layout supported: NCHW
+ * In case of @p output tensor = nullptr this tensor will store the result of the normalization.
* @param[out] output Destination tensor. Data types and data layouts supported: same as @p input.
* @param[in] gamma (Optional) The scale scalar value applied to the normalized tensor. Defaults to 1.0
* @param[in] beta (Optional) The offset scalar value applied to the normalized tensor. Defaults to 0.0
@@ -62,8 +63,7 @@
/** Static function to check if given info will lead to a valid configuration of @ref NEInstanceNormalizationLayer.
*
- * @param[in] input Source tensor info. In case of @p output tensor = nullptr this tensor will store the result of the normalization.
- * Data types supported: F16/F32. Data layout supported: NCHW
+ * @param[in] input Source tensor info. Data types supported: F16/F32. Data layout supported: NCHW
* @param[in] output Destination tensor info. Data types and data layouts supported: same as @p input.
* @param[in] gamma (Optional) The scale scalar value applied to the normalized tensor. Defaults to 1.0
* @param[in] beta (Optional) The offset scalar value applied to the normalized tensor. Defaults to 0.0