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authorPablo Tello <pablo.tello@arm.com>2018-05-30 11:44:26 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:53:09 +0000
commit7df27869aff38b07b50e4fe589f6b2cf51954a92 (patch)
treef3e0fc514b6d90306de49dea28ad42a1144cb185 /tests/validation/fixtures/WinogradConvolutionLayerFixture.h
parentc084f0d4d2ee94bedc31b5e04c2936c91cecf883 (diff)
downloadComputeLibrary-7df27869aff38b07b50e4fe589f6b2cf51954a92.tar.gz
COMPMID-1162: Enable NHWC data layout support for NEWinogradConvolutionLayer - part1
In this first part we reworked the configuration of the kernels as before we passed the raw pointer to the buffer within the configuration of the function Change-Id: I83d3cb64c562303093c7f0ae52395ecd080a5d52 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/133560 Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Diffstat (limited to 'tests/validation/fixtures/WinogradConvolutionLayerFixture.h')
-rw-r--r--tests/validation/fixtures/WinogradConvolutionLayerFixture.h5
1 files changed, 3 insertions, 2 deletions
diff --git a/tests/validation/fixtures/WinogradConvolutionLayerFixture.h b/tests/validation/fixtures/WinogradConvolutionLayerFixture.h
index 6381b99131..f40f3d2e43 100644
--- a/tests/validation/fixtures/WinogradConvolutionLayerFixture.h
+++ b/tests/validation/fixtures/WinogradConvolutionLayerFixture.h
@@ -55,7 +55,8 @@ class WinogradConvolutionLayerValidationFixture : public framework::Fixture
{
public:
template <typename...>
- void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, Size2D dilation, DataType data_type, ActivationLayerInfo act_info)
+ void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, Size2D dilation,
+ DataType data_type, ActivationLayerInfo act_info)
{
ARM_COMPUTE_UNUSED(dilation);
@@ -84,7 +85,7 @@ protected:
}
}
- TensorType compute_target(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &bias_shape, const TensorShape &output_shape, const PadStrideInfo &info,
+ TensorType compute_target(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, const PadStrideInfo &info,
DataType data_type, ActivationLayerInfo act_info)
{
// Create tensors