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authorVidhya Sudhan Loganathan <vidhyasudhan.loganathan@arm.com>2018-07-02 09:13:49 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:54:10 +0000
commit014333d73883c3872e458cedda5ccef586a7ccd4 (patch)
tree0f28bbc1ab769993af91b40e4584061f6ed6d3fa /tests/validation/fixtures/DirectConvolutionLayerTensorShiftFixture.h
parentde01468bbfff3a7d8bcbba3bfdf5698fb2e3b267 (diff)
downloadComputeLibrary-014333d73883c3872e458cedda5ccef586a7ccd4.tar.gz
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>
Diffstat (limited to 'tests/validation/fixtures/DirectConvolutionLayerTensorShiftFixture.h')
-rw-r--r--tests/validation/fixtures/DirectConvolutionLayerTensorShiftFixture.h48
1 files changed, 22 insertions, 26 deletions
diff --git a/tests/validation/fixtures/DirectConvolutionLayerTensorShiftFixture.h b/tests/validation/fixtures/DirectConvolutionLayerTensorShiftFixture.h
index 09b6d830b4..144c7b7d0d 100644
--- a/tests/validation/fixtures/DirectConvolutionLayerTensorShiftFixture.h
+++ b/tests/validation/fixtures/DirectConvolutionLayerTensorShiftFixture.h
@@ -50,9 +50,8 @@ public:
public:
template <typename...>
void setup(TensorShape input_shape, int stride_x, int stride_y, int pad_x, int pad_y, unsigned int kernel_size, unsigned int num_kernels,
- DataType data_type, int fractional_bits, QuantizationInfo quantization_info)
+ DataType data_type, QuantizationInfo quantization_info)
{
- _fractional_bits = fractional_bits;
_quantization_info = quantization_info;
_data_type = data_type;
@@ -62,24 +61,23 @@ public:
const TensorShape output_shape = get_output_shape(input_shape, weights_shape, info);
const DataType bias_data_type = is_data_type_quantized_asymmetric(data_type) ? DataType::S32 : data_type;
- _target = compute_target(input_shape, weights_shape, bias_shape, output_shape, info, data_type, bias_data_type, fractional_bits, quantization_info);
- _reference = compute_reference(input_shape, weights_shape, bias_shape, output_shape, info, data_type, bias_data_type, fractional_bits, quantization_info);
+ _target = compute_target(input_shape, weights_shape, bias_shape, output_shape, info, data_type, bias_data_type, quantization_info);
+ _reference = compute_reference(input_shape, weights_shape, bias_shape, output_shape, info, data_type, bias_data_type, quantization_info);
}
template <typename...>
void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, unsigned int dilation_x, unsigned int dilation_y,
- DataType data_type, int fractional_bits, QuantizationInfo quantization_info)
+ DataType data_type, QuantizationInfo quantization_info)
{
ARM_COMPUTE_UNUSED(dilation_x, dilation_y);
- _fractional_bits = fractional_bits;
_quantization_info = quantization_info;
_data_type = data_type;
const DataType bias_data_type = is_data_type_quantized_asymmetric(data_type) ? DataType::S32 : data_type;
- _target = compute_target(input_shape, weights_shape, bias_shape, output_shape, info, data_type, bias_data_type, fractional_bits, quantization_info);
- _reference = compute_reference(input_shape, weights_shape, bias_shape, output_shape, info, data_type, bias_data_type, fractional_bits, quantization_info);
+ _target = compute_target(input_shape, weights_shape, bias_shape, output_shape, info, data_type, bias_data_type, quantization_info);
+ _reference = compute_reference(input_shape, weights_shape, bias_shape, output_shape, info, data_type, bias_data_type, quantization_info);
}
protected:
@@ -113,16 +111,16 @@ 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, DataType bias_data_type, int fixed_point_position, QuantizationInfo quantization_info)
+ DataType data_type, DataType bias_data_type, QuantizationInfo quantization_info)
{
// Create tensors
- TensorType src = create_tensor<TensorType>(input_shape, data_type, 1, fixed_point_position, quantization_info);
- TensorType weights = create_tensor<TensorType>(weights_shape, data_type, 1, fixed_point_position, quantization_info);
- TensorType bias = create_tensor<TensorType>(bias_shape, bias_data_type, 1, fixed_point_position, quantization_info);
- TensorType dst = create_tensor<TensorType>(output_shape, data_type, 1, fixed_point_position, quantization_info);
+ TensorType src = create_tensor<TensorType>(input_shape, data_type, 1, quantization_info);
+ TensorType weights = create_tensor<TensorType>(weights_shape, data_type, 1, quantization_info);
+ TensorType bias = create_tensor<TensorType>(bias_shape, bias_data_type, 1, quantization_info);
+ TensorType dst = create_tensor<TensorType>(output_shape, data_type, 1, quantization_info);
TensorShape output_shape1 = get_output_shape(output_shape, weights_shape, info);
- TensorType dst1 = create_tensor<TensorType>(output_shape1, data_type, 1, fixed_point_position, quantization_info);
+ TensorType dst1 = create_tensor<TensorType>(output_shape1, data_type, 1, quantization_info);
// Create and configure function
FunctionType conv;
@@ -164,14 +162,14 @@ protected:
}
SimpleTensor<T> compute_reference(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &bias_shape, const TensorShape &output_shape, const PadStrideInfo &info,
- DataType data_type, DataType bias_data_type, int fixed_point_position, QuantizationInfo quantization_info)
+ DataType data_type, DataType bias_data_type, QuantizationInfo quantization_info)
{
// Create reference
- SimpleTensor<T> src{ input_shape, data_type, 1, fixed_point_position, quantization_info };
- SimpleTensor<T> weights{ weights_shape, data_type, 1, fixed_point_position, quantization_info };
- SimpleTensor<TBias> bias{ bias_shape, bias_data_type, 1, fixed_point_position, quantization_info };
+ SimpleTensor<T> src{ input_shape, data_type, 1, quantization_info };
+ SimpleTensor<T> weights{ weights_shape, data_type, 1, quantization_info };
+ SimpleTensor<TBias> bias{ bias_shape, bias_data_type, 1, quantization_info };
- SimpleTensor<T> dst{ output_shape, data_type, 1, fixed_point_position, quantization_info };
+ SimpleTensor<T> dst{ output_shape, data_type, 1, quantization_info };
TensorShape output_shape1 = get_output_shape(output_shape, weights_shape, info);
// Fill reference
@@ -185,7 +183,6 @@ protected:
TensorType _target{};
SimpleTensor<T> _reference{};
- int _fractional_bits{};
QuantizationInfo _quantization_info{};
DataType _data_type{};
@@ -212,7 +209,7 @@ public:
template <typename...>
void setup(TensorShape input_shape, int stride_x, int stride_y, int pad_x, int pad_y, unsigned int kernel_size, unsigned int num_kernels, DataType data_type)
{
- DirectConvolutionValidationGenericTensorShiftFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, stride_x, stride_y, pad_x, pad_y, kernel_size, num_kernels, data_type, 0,
+ DirectConvolutionValidationGenericTensorShiftFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, stride_x, stride_y, pad_x, pad_y, kernel_size, num_kernels, data_type,
QuantizationInfo());
}
};
@@ -222,10 +219,9 @@ class DirectConvolutionValidationFixedPointTensorShiftFixture : public DirectCon
{
public:
template <typename...>
- void setup(TensorShape input_shape, int stride_x, int stride_y, int pad_x, int pad_y, unsigned int kernel_size, unsigned int num_kernels, DataType data_type, int fractional_bits)
+ void setup(TensorShape input_shape, int stride_x, int stride_y, int pad_x, int pad_y, unsigned int kernel_size, unsigned int num_kernels, DataType data_type)
{
DirectConvolutionValidationGenericTensorShiftFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, stride_x, stride_y, pad_x, pad_y, kernel_size, num_kernels, data_type,
- fractional_bits,
QuantizationInfo());
}
};
@@ -237,7 +233,7 @@ public:
template <typename...>
void setup(TensorShape input_shape, int stride_x, int stride_y, int pad_x, int pad_y, unsigned int kernel_size, unsigned int num_kernels, DataType data_type, QuantizationInfo quantization_info)
{
- DirectConvolutionValidationGenericTensorShiftFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, stride_x, stride_y, pad_x, pad_y, kernel_size, num_kernels, data_type, 0,
+ DirectConvolutionValidationGenericTensorShiftFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, stride_x, stride_y, pad_x, pad_y, kernel_size, num_kernels, data_type,
quantization_info);
}
};
@@ -250,7 +246,7 @@ public:
void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, unsigned int dilation_x, unsigned int dilation_y,
DataType data_type, QuantizationInfo quantization_info)
{
- DirectConvolutionValidationGenericTensorShiftFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, weights_shape, bias_shape, output_shape, info, dilation_x, dilation_y, data_type, 0,
+ DirectConvolutionValidationGenericTensorShiftFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, weights_shape, bias_shape, output_shape, info, dilation_x, dilation_y, data_type,
quantization_info);
}
};
@@ -263,7 +259,7 @@ public:
void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, unsigned int dilation_x, unsigned int dilation_y,
DataType data_type)
{
- DirectConvolutionValidationGenericTensorShiftFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, weights_shape, bias_shape, output_shape, info, dilation_x, dilation_y, data_type, 0,
+ DirectConvolutionValidationGenericTensorShiftFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, weights_shape, bias_shape, output_shape, info, dilation_x, dilation_y, data_type,
QuantizationInfo());
}
};