COMPMID-970 : Remove QS8 / QS16 support
Removed Fixed point position arguments from test sources
Change-Id: I8343724723b71611fd501ed34de0866d3fb60e7e
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/136382
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele DiGiorgio <michele.digiorgio@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
diff --git a/tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h b/tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h
index 2f01f43..5428154 100644
--- a/tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h
+++ b/tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h
@@ -115,10 +115,10 @@
}
// Create tensors
- TensorType src = create_tensor<TensorType>(input_shape, data_type, 1, 0, quantization_info, data_layout);
- TensorType weights = create_tensor<TensorType>(weights_shape, data_type, 1, 0, quantization_info, data_layout);
- TensorType biases = create_tensor<TensorType>(biases_shape, bias_data_type, 1, 0, quantization_info, data_layout);
- TensorType dst = create_tensor<TensorType>(output_shape, data_type, 1, 0, quantization_info, data_layout);
+ TensorType src = create_tensor<TensorType>(input_shape, data_type, 1, quantization_info, data_layout);
+ TensorType weights = create_tensor<TensorType>(weights_shape, data_type, 1, quantization_info, data_layout);
+ TensorType biases = create_tensor<TensorType>(biases_shape, bias_data_type, 1, quantization_info, data_layout);
+ TensorType dst = create_tensor<TensorType>(output_shape, data_type, 1, quantization_info, data_layout);
// Create Depthwise Convolution configure function
FunctionType dwc;
@@ -155,9 +155,9 @@
unsigned int depth_multiplier,
const DataType data_type, const DataType bias_data_type, const QuantizationInfo quantization_info)
{
- SimpleTensor<T> src{ in_shape, data_type, 1, 0, quantization_info };
- SimpleTensor<T> weights{ weights_shape, data_type, 1, 0, quantization_info };
- SimpleTensor<TBias> biases{ biases_shape, bias_data_type, 1, 0, quantization_info };
+ SimpleTensor<T> src{ in_shape, data_type, 1, quantization_info };
+ SimpleTensor<T> weights{ weights_shape, data_type, 1, quantization_info };
+ SimpleTensor<TBias> biases{ biases_shape, bias_data_type, 1, quantization_info };
fill(src, 0);
fill(weights, 1);