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Diffstat (limited to 'tests/validation/fixtures/WinogradConvolutionLayerFixture.h')
-rw-r--r--tests/validation/fixtures/WinogradConvolutionLayerFixture.h22
1 files changed, 11 insertions, 11 deletions
diff --git a/tests/validation/fixtures/WinogradConvolutionLayerFixture.h b/tests/validation/fixtures/WinogradConvolutionLayerFixture.h
index ac168ebe3c..f1660e6e90 100644
--- a/tests/validation/fixtures/WinogradConvolutionLayerFixture.h
+++ b/tests/validation/fixtures/WinogradConvolutionLayerFixture.h
@@ -201,10 +201,10 @@ protected:
}
// Create tensors
- 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);
+ TensorType src = create_tensor<TensorType>(input_shape, data_type, 1, QuantizationInfo(), data_layout);
+ TensorType weights = create_tensor<TensorType>(weights_shape, data_type, 1, QuantizationInfo(), data_layout);
+ TensorType bias = create_tensor<TensorType>(bias_shape, data_type, 1, QuantizationInfo(), data_layout);
+ TensorType dst = create_tensor<TensorType>(output_shape, data_type, 1, QuantizationInfo(), data_layout);
// Create and configure function
FunctionType conv;
@@ -340,8 +340,8 @@ protected:
permute(input_shape, PermutationVector(2U, 0U, 1U));
}
- TensorType src = create_tensor<TensorType>(input_shape, data_type, 1, 0, QuantizationInfo(), data_layout);
- TensorType dst = create_tensor<TensorType>(output_shape, data_type, 1, 0, QuantizationInfo());
+ TensorType src = create_tensor<TensorType>(input_shape, data_type, 1, QuantizationInfo(), data_layout);
+ TensorType dst = create_tensor<TensorType>(output_shape, data_type, 1, QuantizationInfo());
// Create and configure function
FunctionType transf;
@@ -369,7 +369,7 @@ protected:
SimpleTensor<T> compute_reference(const TensorShape &input_shape, const TensorShape &output_shape, const WinogradInfo &winograd_info, DataLayout data_layout, DataType data_type)
{
// Create reference
- SimpleTensor<T> src{ input_shape, data_type, 1, 0, QuantizationInfo() };
+ SimpleTensor<T> src{ input_shape, data_type, 1, QuantizationInfo() };
// Fill reference
fill(src, 0, -1.f, 1.f);
@@ -424,8 +424,8 @@ protected:
}
// Create tensors
- TensorType src = create_tensor<TensorType>(input_shape, data_type, 1, 0, QuantizationInfo(), data_layout);
- TensorType dst = create_tensor<TensorType>(output_shape, data_type, 1, 0, QuantizationInfo());
+ TensorType src = create_tensor<TensorType>(input_shape, data_type, 1, QuantizationInfo(), data_layout);
+ TensorType dst = create_tensor<TensorType>(output_shape, data_type, 1, QuantizationInfo());
// Create and configure function
FunctionType filter_transform;
@@ -452,7 +452,7 @@ protected:
SimpleTensor<T> compute_reference(const TensorShape &input_shape, const TensorShape &output_shape, const WinogradInfo &winograd_info, DataLayout data_layout, DataType data_type)
{
// Create reference
- SimpleTensor<T> src{ input_shape, data_type, 1, 0, QuantizationInfo() };
+ SimpleTensor<T> src{ input_shape, data_type, 1, QuantizationInfo() };
// Fill reference
fill(src, 0, -1.f, 1.f);
@@ -502,7 +502,7 @@ protected:
// Create tensors
TensorType src = create_tensor<TensorType>(input_shape, data_type);
- TensorType dst = create_tensor<TensorType>(output_shape, data_type, 1, 0, QuantizationInfo(), winograd_info.output_data_layout);
+ TensorType dst = create_tensor<TensorType>(output_shape, data_type, 1, QuantizationInfo(), winograd_info.output_data_layout);
// Create and configure function
FunctionType output_transform;