commit 014333d73883c3872e458cedda5ccef586a7ccd4
author Vidhya Sudhan Loganathan <vidhyasudhan.loganathan@arm.com> Mon Jul 02 09:13:49 2018 +0100
committer Anthony Barbier <anthony.barbier@arm.com> Fri Nov 02 16:54:10 2018 +0000
tree 0f28bbc1ab769993af91b40e4584061f6ed6d3fa
parent de01468bbfff3a7d8bcbba3bfdf5698fb2e3b267

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>

tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h

diff --git a/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h b/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h
index 9276431..48ea038 100644
--- a/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h
+++ b/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h
@@ -57,15 +57,15 @@
         weights_shape.set(2, dst_shape.z());
 
         // Set batched in source and destination shapes
-        const unsigned int fixed_point_position = 4;
+
         src_shape.set(3 /* batch */, batches);
         dst_shape.set(3 /* batch */, batches);
 
         // Create tensors
-        src     = create_tensor<TensorType>(src_shape, data_type, 1, fixed_point_position, QuantizationInfo(0.5f, 10));
-        weights = create_tensor<TensorType>(weights_shape, data_type, 1, fixed_point_position, QuantizationInfo(0.5f, 10));
-        biases  = create_tensor<TensorType>(TensorShape(weights_shape[2]), is_data_type_quantized_asymmetric(data_type) ? DataType::S32 : data_type, 1, fixed_point_position);
-        dst     = create_tensor<TensorType>(dst_shape, data_type, 1, fixed_point_position, QuantizationInfo(0.5f, 10));
+        src     = create_tensor<TensorType>(src_shape, data_type, 1, QuantizationInfo(0.5f, 10));
+        weights = create_tensor<TensorType>(weights_shape, data_type, 1, QuantizationInfo(0.5f, 10));
+        biases  = create_tensor<TensorType>(TensorShape(weights_shape[2]), is_data_type_quantized_asymmetric(data_type) ? DataType::S32 : data_type, 1);
+        dst     = create_tensor<TensorType>(dst_shape, data_type, 1, QuantizationInfo(0.5f, 10));
 
         // Create and configure function
         depth_conv.configure(&src, &weights, &biases, &dst, info);