diff options
Diffstat (limited to 'tests/validation/fixtures/WinogradConvolutionLayerFixture.h')
| -rw-r--r-- | tests/validation/fixtures/WinogradConvolutionLayerFixture.h | 26 |
1 files changed, 17 insertions, 9 deletions
diff --git a/tests/validation/fixtures/WinogradConvolutionLayerFixture.h b/tests/validation/fixtures/WinogradConvolutionLayerFixture.h index 07795c2361..aca24f13ae 100644 --- a/tests/validation/fixtures/WinogradConvolutionLayerFixture.h +++ b/tests/validation/fixtures/WinogradConvolutionLayerFixture.h @@ -160,11 +160,12 @@ class WinogradConvolutionLayerFastMathValidationFixture : public framework::Fixt { 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, const DataLayout &data_layout) + { ARM_COMPUTE_UNUSED(dilation); - - _target = compute_target(input_shape, weights_shape, bias_shape, output_shape, info, data_type, act_info); + _target = compute_target(input_shape, weights_shape, bias_shape, output_shape, info, data_type, act_info, data_layout); _reference = compute_reference(input_shape, weights_shape, bias_shape, output_shape, info, data_type, act_info); } @@ -189,14 +190,21 @@ protected: } } - TensorType compute_target(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &bias_shape, const TensorShape &output_shape, const PadStrideInfo &info, - DataType data_type, ActivationLayerInfo act_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, const DataLayout data_layout) { + if(data_layout == DataLayout::NHWC) + { + permute(input_shape, PermutationVector(2U, 0U, 1U)); + permute(weights_shape, PermutationVector(2U, 0U, 1U)); + permute(output_shape, PermutationVector(2U, 0U, 1U)); + } + // Create tensors - TensorType src = create_tensor<TensorType>(input_shape, data_type, 1); - TensorType weights = create_tensor<TensorType>(weights_shape, data_type, 1); - TensorType bias = create_tensor<TensorType>(bias_shape, data_type, 1); - TensorType dst = create_tensor<TensorType>(output_shape, data_type, 1); + TensorType src = create_tensor<TensorType>(input_shape, data_type, 1, 0, QuantizationInfo(), data_layout); + TensorType weights = create_tensor<TensorType>(weights_shape, data_type, 1, 0, QuantizationInfo(), data_layout); + TensorType bias = create_tensor<TensorType>(bias_shape, data_type, 1, 0, QuantizationInfo(), data_layout); + TensorType dst = create_tensor<TensorType>(output_shape, data_type, 1, 0, QuantizationInfo(), data_layout); // Create and configure function FunctionType conv; |