commit 5b52fe3a4481769adcf42218a3747486cb4e9c14
author Georgios Pinitas <georgios.pinitas@arm.com> Thu Jul 12 12:42:35 2018 +0100
committer Anthony Barbier <anthony.barbier@arm.com> Fri Nov 02 16:54:54 2018 +0000
tree 947c84d7d257f2c47045245f9aea30b772cdfb0a
parent 71d9b57aac146ae3ad5648c1308a872cea90070d

COMPMID-1390: OCLGrind and benchmark tests fail for QASYMM8
COMPMID-1392: OCLGrind failures in im2col1x1_stridex1_dchw
COMPMID-1395: OCLGrind failures in output_stage_quantized

Change-Id: I35504bd1f701316df122be52d458c71bbd7e7909
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/139722
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

tests/benchmark/fixtures/ConvolutionLayerFixture.h

diff --git a/tests/benchmark/fixtures/ConvolutionLayerFixture.h b/tests/benchmark/fixtures/ConvolutionLayerFixture.h
index 338a021..b23c345 100644
--- a/tests/benchmark/fixtures/ConvolutionLayerFixture.h
+++ b/tests/benchmark/fixtures/ConvolutionLayerFixture.h
@@ -46,16 +46,16 @@
                int batches)
     {
         // Set batched in source and destination shapes
-
         src_shape.set(3 /* batch */, batches);
         dst_shape.set(3 /* batch */, batches);
-        DataType bias_data_type = is_data_type_quantized_asymmetric(data_type) ? DataType::S32 : data_type;
+        DataType               bias_data_type = is_data_type_quantized_asymmetric(data_type) ? DataType::S32 : data_type;
+        const QuantizationInfo qinfo(2.f / 255.f, 127);
 
         // Create tensors
-        src     = create_tensor<TensorType>(src_shape, data_type, 1);
-        weights = create_tensor<TensorType>(weights_shape, data_type, 1);
+        src     = create_tensor<TensorType>(src_shape, data_type, 1, qinfo);
+        weights = create_tensor<TensorType>(weights_shape, data_type, 1, qinfo);
         biases  = create_tensor<TensorType>(biases_shape, bias_data_type, 1);
-        dst     = create_tensor<TensorType>(dst_shape, data_type, 1);
+        dst     = create_tensor<TensorType>(dst_shape, data_type, 1, qinfo);
 
         // Create and configure function
         conv_layer.configure(&src, &weights, &biases, &dst, info, WeightsInfo(), dilation, act_info);