COMPMID-688: Shorten DepthWiseConvolution test name.
Removed biases shape from the dataset which is redundant as it can be computed from the weights shape.
Change-Id: I078b6eeb9e0a42f697e7b311deb86d2a1795872b
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/112904
Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
diff --git a/tests/benchmark/CL/DepthwiseConvolutionLayer.cpp b/tests/benchmark/CL/DepthwiseConvolutionLayer.cpp
index be6fba0..5e2980a 100644
--- a/tests/benchmark/CL/DepthwiseConvolutionLayer.cpp
+++ b/tests/benchmark/CL/DepthwiseConvolutionLayer.cpp
@@ -42,7 +42,7 @@
TEST_SUITE(CL)
-REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetDepthwiseConvolutionLayer, CLDepthwiseConvolutionLayerFixture, framework::DatasetMode::ALL,
+REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetDepthwiseConvLayer, CLDepthwiseConvolutionLayerFixture, framework::DatasetMode::ALL,
framework::dataset::combine(framework::dataset::combine(datasets::MobileNetDepthwiseConvolutionLayerDataset(), data_types),
framework::dataset::make("Batches", { 1 })));
diff --git a/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h b/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h
index 9a49d56..19ebb4e 100644
--- a/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h
+++ b/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h
@@ -40,7 +40,7 @@
{
public:
template <typename...>
- void setup(TensorShape src_shape, TensorShape weights_shape, TensorShape biases_shape, TensorShape dst_shape, PadStrideInfo info, DataType data_type, int batches)
+ void setup(TensorShape src_shape, TensorShape weights_shape, TensorShape dst_shape, PadStrideInfo info, DataType data_type, int batches)
{
// Set batched in source and destination shapes
const unsigned int fixed_point_position = 4;
@@ -50,7 +50,7 @@
// 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);
- biases = create_tensor<TensorType>(biases_shape, data_type, 1, fixed_point_position);
+ biases = create_tensor<TensorType>(TensorShape(weights_shape[2]), data_type, 1, fixed_point_position);
dst = create_tensor<TensorType>(dst_shape, data_type, 1, fixed_point_position);
// Create and configure function