COMPMID-2708 NEDepthwiseConvolution Generic: support for QUANT8_PER_CHANNEL_SYMM

COMPMID-2470 Implement a new and generic depthwise convolution for NEON QASYMM8 NHWC
COMPMID-2477 Enable FP16 data type for the new generic convolution on NEON for NHWC
COMPMID-2625 Remove old implementation files for the generic NEDepthwiseConvolution

Change-Id: I8f6deda4fc69dd7e472fba3228b1ed5dad172f3e
Signed-off-by: Giorgio Arena <giorgio.arena@arm.com>
Reviewed-on: https://review.mlplatform.org/c/2094
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 13 insertions, 3 deletions

diff --git a/tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h b/tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h
index 85930eb95e..f909885245 100644
--- a/tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h
+++ b/tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h
@@ -449,12 +449,22 @@ class DepthwiseConvolutionLayerValidationQuantizedPerChannelFixture : public Dep
 public:
     template <typename...>
     void setup(TensorShape in_shape, Size2D kernel_size, PadStrideInfo pad_stride_info, Size2D dilation, unsigned int depth_multiplier, DataType input_data_type, DataType weights_data_type,
-               QuantizationInfo input_quantization_info, QuantizationInfo weights_quantization_info, QuantizationInfo output_quantization_info,
-               DataLayout data_layout, ActivationLayerInfo act_info)
+               QuantizationInfo input_quantization_info, QuantizationInfo output_quantization_info, DataLayout data_layout, ActivationLayerInfo act_info)
     {
+        const float out_scale = output_quantization_info.uniform().scale;
+        const float in_scale  = input_quantization_info.uniform().scale;
+
+        std::vector<float>               weights_scales{};
+        std::mt19937                     gen(library->seed());
+        std::uniform_real_distribution<> dis(0.01f, out_scale / in_scale);
+        for(size_t i = 0; i < in_shape.z() * depth_multiplier; ++i)
+        {
+            weights_scales.push_back(dis(gen));
+        }
+
         DepthwiseConvolutionLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T, TW>::setup(in_shape, kernel_size, pad_stride_info, dilation, depth_multiplier,
                                                                                                                 input_data_type, weights_data_type,
-                                                                                                                input_quantization_info, weights_quantization_info, output_quantization_info,
+                                                                                                                input_quantization_info, QuantizationInfo(weights_scales), output_quantization_info,
                                                                                                                 data_layout, act_info);
     }
 };