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/validation/NEON/ConvolutionLayer.cpp

diff --git a/tests/validation/NEON/ConvolutionLayer.cpp b/tests/validation/NEON/ConvolutionLayer.cpp
index 94b38c2..591d142 100644
--- a/tests/validation/NEON/ConvolutionLayer.cpp
+++ b/tests/validation/NEON/ConvolutionLayer.cpp
@@ -154,16 +154,13 @@
 { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) })),
 input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type, act_info)
 {
-    // Set fixed point position data type allowed
-    int fixed_point_position = is_data_type_fixed_point(data_type) ? 3 : 0;
-
     auto bias_data_type = is_data_type_quantized_asymmetric(data_type) ? DataType::S32 : data_type;
 
     // Create tensors
-    Tensor src     = create_tensor<Tensor>(input_shape, data_type, 1, fixed_point_position, QuantizationInfo(2.f / 255.f, 127));
-    Tensor weights = create_tensor<Tensor>(weights_shape, data_type, 1, fixed_point_position, QuantizationInfo(2.f / 255.f, 127));
-    Tensor bias    = create_tensor<Tensor>(bias_shape, bias_data_type, 1, fixed_point_position, QuantizationInfo(2.f / 255.f, 127));
-    Tensor dst     = create_tensor<Tensor>(output_shape, data_type, 1, fixed_point_position, QuantizationInfo(2.f / 255.f, 127));
+    Tensor src     = create_tensor<Tensor>(input_shape, data_type, 1, QuantizationInfo(2.f / 255.f, 127));
+    Tensor weights = create_tensor<Tensor>(weights_shape, data_type, 1, QuantizationInfo(2.f / 255.f, 127));
+    Tensor bias    = create_tensor<Tensor>(bias_shape, bias_data_type, 1, QuantizationInfo(2.f / 255.f, 127));
+    Tensor dst     = create_tensor<Tensor>(output_shape, data_type, 1, QuantizationInfo(2.f / 255.f, 127));
 
     ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
     ARM_COMPUTE_EXPECT(weights.info()->is_resizable(), framework::LogLevel::ERRORS);
@@ -246,9 +243,6 @@
 TEST_SUITE_END()
 
 template <typename T>
-using NEGEMMConvolutionLayerFixedPointFixture = ConvolutionValidationFixedPointFixture<Tensor, Accessor, NEGEMMConvolutionLayer, T>;
-
-template <typename T>
 using NEGEMMConvolutionLayerQuantizedFixture = ConvolutionValidationQuantizedFixture<Tensor, Accessor, NEGEMMConvolutionLayer, T>;
 
 const auto QuantizedActivationFunctionsDataset = framework::dataset::make("ActivationInfo",