aboutsummaryrefslogtreecommitdiff
path: root/tests/benchmark
diff options
context:
space:
mode:
authorGeorgios Pinitas <georgios.pinitas@arm.com>2018-07-12 12:42:35 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:54:54 +0000
commit5b52fe3a4481769adcf42218a3747486cb4e9c14 (patch)
tree947c84d7d257f2c47045245f9aea30b772cdfb0a /tests/benchmark
parent71d9b57aac146ae3ad5648c1308a872cea90070d (diff)
downloadComputeLibrary-5b52fe3a4481769adcf42218a3747486cb4e9c14.tar.gz
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>
Diffstat (limited to 'tests/benchmark')
-rw-r--r--tests/benchmark/fixtures/ConvolutionLayerFixture.h10
1 files changed, 5 insertions, 5 deletions
diff --git a/tests/benchmark/fixtures/ConvolutionLayerFixture.h b/tests/benchmark/fixtures/ConvolutionLayerFixture.h
index 338a02162d..b23c3457ab 100644
--- a/tests/benchmark/fixtures/ConvolutionLayerFixture.h
+++ b/tests/benchmark/fixtures/ConvolutionLayerFixture.h
@@ -46,16 +46,16 @@ public:
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);