Add per-channel quantization support for CLDeconvolutionLayer

Add QSYMM8_PER_CHANNEL support on weight input for CLDeconvolutionLayer.
When weights are per-channel quantized type "Direct" method is always
used.

Also reduce number of QSYMM8_PER_CHANNEL tests for NEDeconvolutionLayer.

Resolves: COMPMID-3438

Signed-off-by: Freddie Liardet <frederick.liardet@arm.com>
Change-Id: I1330cac5142e19d21e322574fb8d912558745b02
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5484
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 6 insertions, 2 deletions

diff --git a/src/runtime/CL/functions/CLDirectDeconvolutionLayer.cpp b/src/runtime/CL/functions/CLDirectDeconvolutionLayer.cpp
index d802ef2dc9..00d9a9ec89 100644
--- a/src/runtime/CL/functions/CLDirectDeconvolutionLayer.cpp
+++ b/src/runtime/CL/functions/CLDirectDeconvolutionLayer.cpp
@@ -74,7 +74,12 @@ Status CLDirectDeconvolutionLayer::validate(const ITensorInfo *input, const ITen
 
     const TensorShape output_shape = compute_deconvolution_output_shape(out_dims, *input, *weights);
 
-    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output, weights);
+    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
+
+    if(input->data_type() != weights->data_type())
+    {
+        ARM_COMPUTE_RETURN_ERROR_ON(weights->data_type() != DataType::QSYMM8_PER_CHANNEL || !is_data_type_quantized_asymmetric(input->data_type()));
+    }
 
     if(bias != nullptr)
     {
@@ -227,7 +232,6 @@ void CLDirectDeconvolutionLayer::prepare()
         {
             _weights_flipped.allocator()->free();
         }
-
         _is_prepared = true;
     }
 }