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authorGiorgio Arena <giorgio.arena@arm.com>2018-02-16 11:01:04 +0000
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:47:18 +0000
commit287b570b86ba40a801136aded140b83435ca9314 (patch)
tree08f1462dd8b28020d2aaa72509d21b8a90005cc2 /tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h
parentd267b05aaaec9b462a8c988c7b5fcebd5776c72f (diff)
downloadComputeLibrary-287b570b86ba40a801136aded140b83435ca9314.tar.gz
COMPMID-853 Use tile 2 for CL depthwise convolution QASYM8
Change-Id: I91f6a0b057f5eb84c6ac7db5abbc05c7520ed5d2 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/120760 Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h')
-rw-r--r--tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h6
1 files changed, 3 insertions, 3 deletions
diff --git a/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h b/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h
index 8283b4d514..a156f4bc6f 100644
--- a/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h
+++ b/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h
@@ -48,10 +48,10 @@ public:
dst_shape.set(3 /* batch */, batches);
// Create tensors
- src = create_tensor<TensorType>(src_shape, data_type, 1, fixed_point_position);
- weights = create_tensor<TensorType>(weights_shape, data_type, 1, fixed_point_position);
+ src = create_tensor<TensorType>(src_shape, data_type, 1, fixed_point_position, QuantizationInfo(0.5f, 10));
+ weights = create_tensor<TensorType>(weights_shape, data_type, 1, fixed_point_position, QuantizationInfo(0.5f, 10));
biases = create_tensor<TensorType>(TensorShape(weights_shape[2]), is_data_type_quantized_asymmetric(data_type) ? DataType::S32 : data_type, 1, fixed_point_position);
- dst = create_tensor<TensorType>(dst_shape, data_type, 1, fixed_point_position);
+ dst = create_tensor<TensorType>(dst_shape, data_type, 1, fixed_point_position, QuantizationInfo(0.5f, 10));
// Create and configure function
depth_conv.configure(&src, &weights, &biases, &dst, info);