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author | Matthew Bentham <Matthew.Bentham@arm.com> | 2023-07-12 11:54:59 +0000 |
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committer | Matthew Bentham <matthew.bentham@arm.com> | 2023-07-12 14:56:44 +0000 |
commit | 945b8da90cea5ccacc0294e58131f73f39137367 (patch) | |
tree | e3ae7bb1fc5ef28a683883c0eafef531e4f4fa2e /tests/validation/fixtures/PoolingLayerFixture.h | |
parent | ab0b75054ca3ddd62cff34518f331aa8474daa5a (diff) | |
download | ComputeLibrary-945b8da90cea5ccacc0294e58131f73f39137367.tar.gz |
Make test fixture setup methods not be templated
This simplifies code slightly as nothing needs those functions to
be function templates.
Signed-off-by: Matthew Bentham <Matthew.Bentham@arm.com>
Change-Id: If48694bf5677bb83426aeba952eb87174a42dff0
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/536135
Tested-by: bsgcomp <bsgcomp@arm.com>
Reviewed-by: Jakub Sujak <jakub.sujak@arm.com>
Comments-Addressed: bsgcomp <bsgcomp@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9907
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/fixtures/PoolingLayerFixture.h')
-rw-r--r-- | tests/validation/fixtures/PoolingLayerFixture.h | 7 |
1 files changed, 0 insertions, 7 deletions
diff --git a/tests/validation/fixtures/PoolingLayerFixture.h b/tests/validation/fixtures/PoolingLayerFixture.h index f34aaa8bfa..59c920868b 100644 --- a/tests/validation/fixtures/PoolingLayerFixture.h +++ b/tests/validation/fixtures/PoolingLayerFixture.h @@ -45,7 +45,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class PoolingLayerValidationGenericFixture : public framework::Fixture { public: - template <typename...> void setup(TensorShape shape, PoolingLayerInfo pool_info, DataType data_type, DataLayout data_layout, bool indices = false, QuantizationInfo input_qinfo = QuantizationInfo(), QuantizationInfo output_qinfo = QuantizationInfo(), bool mixed_layout = false) { @@ -161,7 +160,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class PoolingLayerIndicesValidationFixture : public PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T> { public: - template <typename...> void setup(TensorShape shape, PoolingType pool_type, Size2D pool_size, PadStrideInfo pad_stride_info, bool exclude_padding, DataType data_type, DataLayout data_layout, bool use_kernel_indices) { PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, PoolingLayerInfo(pool_type, pool_size, data_layout, pad_stride_info, exclude_padding, false, @@ -174,7 +172,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class PoolingLayerValidationFixture : public PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T> { public: - template <typename...> void setup(TensorShape shape, PoolingType pool_type, Size2D pool_size, PadStrideInfo pad_stride_info, bool exclude_padding, DataType data_type, DataLayout data_layout) { PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, PoolingLayerInfo(pool_type, pool_size, data_layout, pad_stride_info, exclude_padding), @@ -186,7 +183,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class PoolingLayerValidationMixedPrecisionFixture : public PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T> { public: - template <typename...> void setup(TensorShape shape, PoolingType pool_type, Size2D pool_size, PadStrideInfo pad_stride_info, bool exclude_padding, DataType data_type, DataLayout data_layout, bool fp_mixed_precision = false) { PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, PoolingLayerInfo(pool_type, pool_size, data_layout, pad_stride_info, exclude_padding, fp_mixed_precision), @@ -198,7 +194,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class PoolingLayerValidationQuantizedFixture : public PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T> { public: - template <typename...> void setup(TensorShape shape, PoolingType pool_type, Size2D pool_size, PadStrideInfo pad_stride_info, bool exclude_padding, DataType data_type, DataLayout data_layout = DataLayout::NCHW, QuantizationInfo input_qinfo = QuantizationInfo(), QuantizationInfo output_qinfo = QuantizationInfo()) { @@ -211,7 +206,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class SpecialPoolingLayerValidationFixture : public PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T> { public: - template <typename...> void setup(TensorShape src_shape, PoolingLayerInfo pool_info, DataType data_type) { PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(src_shape, pool_info, data_type, pool_info.data_layout); @@ -222,7 +216,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class GlobalPoolingLayerValidationFixture : public PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T> { public: - template <typename...> void setup(TensorShape shape, PoolingType pool_type, DataType data_type, DataLayout data_layout = DataLayout::NCHW) { PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, PoolingLayerInfo(pool_type, data_layout), data_type, data_layout); |