COMPMID-1226 Extend CLMeanStdDev to support FP32 / FP16

- Extend support for FP16 in CLReduction.
- For F16/F32 MeanStdDev we perform one reduction operation for mean
and one for stddev and we calculate the final result in the host CPU.

Change-Id: Iad2099f26c0ba7969737d22f00c6c275634d875c
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/135870
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
diff --git a/src/core/CL/kernels/CLReductionOperationKernel.cpp b/src/core/CL/kernels/CLReductionOperationKernel.cpp
index d64f0d8..95967fa 100644
--- a/src/core/CL/kernels/CLReductionOperationKernel.cpp
+++ b/src/core/CL/kernels/CLReductionOperationKernel.cpp
@@ -44,7 +44,7 @@
     ARM_COMPUTE_UNUSED(op);
 
     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
-    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32);
+    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32);
     ARM_COMPUTE_RETURN_ERROR_ON(input->data_layout() != DataLayout::NCHW);
 
     ARM_COMPUTE_RETURN_ERROR_ON_MSG(axis >= TensorShape::num_max_dimensions, "Reduction axis greater than max number of dimensions");
@@ -69,7 +69,7 @@
     const unsigned int num_elems_processed_per_iteration = 16;
 
     Window             win          = calculate_max_window(*input, Steps(num_elems_processed_per_iteration));
-    const unsigned int border_width = ((input->dimension(0) % 128) != 0) ? 128 - input->dimension(0) % 128 : 0; // TODO (COMPMID-1143): Fix padding (possible value 127!)
+    const unsigned int border_width = ((input->dimension(0) % num_elems_processed_per_iteration) != 0) ? num_elems_processed_per_iteration - input->dimension(0) % num_elems_processed_per_iteration : 0;
 
     AccessWindowStatic     input_access(input, 0, 0, input->dimension(0) + border_width, 1);
     AccessWindowHorizontal output_access(output, 0, 1);