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| author | Pablo Tello <pablo.tello@arm.com> | 2017-12-12 14:35:00 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:42:33 +0000 |
| commit | 941cd706bea1847ae89e4ee13f144fc51050ad1f (patch) | |
| tree | 48786d64a7810c3e28802a989cb18c46618f61de /tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h | |
| parent | 20dbb827a30c8529bc4f2c076dcaed3d48514456 (diff) | |
| download | ComputeLibrary-941cd706bea1847ae89e4ee13f144fc51050ad1f.tar.gz | |
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>
Diffstat (limited to 'tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h')
| -rw-r--r-- | tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h b/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h index 9a49d5613a..19ebb4e3dd 100644 --- a/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h +++ b/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h @@ -40,7 +40,7 @@ class DepthwiseConvolutionLayerFixture : public framework::Fixture { 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 @@ public: // 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 |