diff options
Diffstat (limited to 'tests/validation/fixtures/dynamic_fusion/gpu/cl')
4 files changed, 0 insertions, 14 deletions
diff --git a/tests/validation/fixtures/dynamic_fusion/gpu/cl/DepthwiseConv2dFixture.h b/tests/validation/fixtures/dynamic_fusion/gpu/cl/DepthwiseConv2dFixture.h index bea1d9bf4b..6498a06e03 100644 --- a/tests/validation/fixtures/dynamic_fusion/gpu/cl/DepthwiseConv2dFixture.h +++ b/tests/validation/fixtures/dynamic_fusion/gpu/cl/DepthwiseConv2dFixture.h @@ -60,7 +60,6 @@ public: || std::is_same<typename std::decay<T>::type, int8_t>::value, int32_t, T >::type; // If T: uint8_t or int8_t then TBias: int32_t, otherwise TBias: T - template <typename...> void setup(TensorShape input_shape, Size2D kernel_size, const PadStrideInfo &pad_stride, const Size2D &dilation, const unsigned int depth_multiplier, const DataType data_type, const DataLayout data_layout) { @@ -213,7 +212,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class DynamicFusionGpuDepthwiseConv2dValidationFixture : public DynamicFusionGpuDepthwiseConv2dValidationGenericFixture<TensorType, AccessorType, FunctionType, T> { public: - template <typename...> void setup(TensorShape input_shape, Size2D kernel_size, const PadStrideInfo &info, const Size2D &dilation, const unsigned int depth_multiplier, DataType data_type, DataLayout data_layout) { DynamicFusionGpuDepthwiseConv2dValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, kernel_size, info, dilation, diff --git a/tests/validation/fixtures/dynamic_fusion/gpu/cl/DirectConv2dFixture.h b/tests/validation/fixtures/dynamic_fusion/gpu/cl/DirectConv2dFixture.h index 81dfc2b8e2..e30a564930 100644 --- a/tests/validation/fixtures/dynamic_fusion/gpu/cl/DirectConv2dFixture.h +++ b/tests/validation/fixtures/dynamic_fusion/gpu/cl/DirectConv2dFixture.h @@ -88,7 +88,6 @@ public: || std::is_same<typename std::decay<T>::type, int8_t>::value, int32_t, T >::type; // If T: uint8_t or int8_t then TBias: int32_t, otherwise TBias: T - template <typename...> void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, const PadStrideInfo &info, const Size2D &dilation, DataType data_type, DataLayout data_layout, QuantizationInfo quantization_info, QuantizationInfo weight_quantization_info) { @@ -203,7 +202,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class DynamicFusionGpuConv2dValidationFixture : public DynamicFusionGpuConv2dValidationGenericFixture<TensorType, AccessorType, FunctionType, T> { public: - template <typename...> void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape output_shape, TensorShape bias_shape, const PadStrideInfo &info, const Size2D &dialation, DataType data_type, DataLayout data_layout, QuantizationInfo quantization_info) { @@ -222,7 +220,6 @@ class DynamicFusionDirectConv2dValidationGenericFixture : public framework::Fixt public: using TBias = typename std::conditional < std::is_same<T, uint8_t>::value || std::is_same<T, int8_t>::value, int32_t, T >::type; - 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, DataLayout data_layout) { @@ -341,7 +338,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class DynamicFusionDirectConv2dValidationFixture : public DynamicFusionDirectConv2dValidationGenericFixture<TensorType, AccessorType, FunctionType, T> { 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, DataLayout data_layout) { diff --git a/tests/validation/fixtures/dynamic_fusion/gpu/cl/ElementwiseBinaryFixture.h b/tests/validation/fixtures/dynamic_fusion/gpu/cl/ElementwiseBinaryFixture.h index 22deff1f24..567322f181 100644 --- a/tests/validation/fixtures/dynamic_fusion/gpu/cl/ElementwiseBinaryFixture.h +++ b/tests/validation/fixtures/dynamic_fusion/gpu/cl/ElementwiseBinaryFixture.h @@ -47,7 +47,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class DynamicFusionGpuElementwiseBinaryValidationGenericFixture : public framework::Fixture { public: - template <typename...> void setup(ArithmeticOperation ref_op, const TensorShape &shape0, const TensorShape &shape1, const TensorShape &shape2, DataType data_type, bool is_inplace, bool fuse_two_ops = false) { _ref_op = ref_op; @@ -220,7 +219,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class DynamicFusionGpuElementwiseBinaryOneOpValidationFixture : public DynamicFusionGpuElementwiseBinaryValidationGenericFixture<TensorType, AccessorType, FunctionType, T> { public: - template <typename...> void setup(ArithmeticOperation ref_op, const TensorShape &shape0, DataType data_type, bool is_inplace) { DynamicFusionGpuElementwiseBinaryValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ref_op, shape0, shape0, TensorShape(), data_type, is_inplace); @@ -231,7 +229,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class DynamicFusionGpuElementwiseBinaryBroadcastOneOpValidationFixture : public DynamicFusionGpuElementwiseBinaryValidationGenericFixture<TensorType, AccessorType, FunctionType, T> { public: - template <typename...> void setup(ArithmeticOperation ref_op, const TensorShape &shape0, const TensorShape &shape1, DataType data_type, bool is_inplace) { DynamicFusionGpuElementwiseBinaryValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ref_op, shape0, shape1, TensorShape(), data_type, is_inplace); @@ -242,7 +239,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class DynamicFusionGpuElementwiseBinaryTwoOpsValidationFixture : public DynamicFusionGpuElementwiseBinaryValidationGenericFixture<TensorType, AccessorType, FunctionType, T> { public: - template <typename...> void setup(ArithmeticOperation ref_op, const TensorShape &shape0, const TensorShape &shape1, const TensorShape &shape2, DataType data_type, bool is_inplace, bool fuse_two_ops) { DynamicFusionGpuElementwiseBinaryValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ref_op, shape0, shape1, shape2, data_type, is_inplace, fuse_two_ops); diff --git a/tests/validation/fixtures/dynamic_fusion/gpu/cl/Pool2dFixture.h b/tests/validation/fixtures/dynamic_fusion/gpu/cl/Pool2dFixture.h index 249f57aceb..0efb761967 100644 --- a/tests/validation/fixtures/dynamic_fusion/gpu/cl/Pool2dFixture.h +++ b/tests/validation/fixtures/dynamic_fusion/gpu/cl/Pool2dFixture.h @@ -51,7 +51,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class DynamicFusionGpuPool2dValidationGenericFixture : public framework::Fixture { public: - template <typename...> void setup(TensorShape input_shape, const Pool2dAttributes &pool_attr, DataType data_type, bool mixed_precision) { _target = compute_target(input_shape, pool_attr, data_type, mixed_precision); @@ -151,7 +150,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class DynamicFusionGpuPool2dValidationFixture : public DynamicFusionGpuPool2dValidationGenericFixture<TensorType, AccessorType, FunctionType, T> { public: - template <typename...> void setup(TensorShape input_shape, PoolingType pool_type, Size2D pool_size, Padding2D pad, Size2D stride, bool exclude_padding, DataType data_type) { DynamicFusionGpuPool2dValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, @@ -164,7 +162,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class DynamicFusionGpuPool2dMixedPrecisionValidationFixture : public DynamicFusionGpuPool2dValidationGenericFixture<TensorType, AccessorType, FunctionType, T> { public: - template <typename...> void setup(TensorShape input_shape, PoolingType pool_type, Size2D pool_size, Padding2D pad, Size2D stride, bool exclude_padding, DataType data_type, bool mixed_precision) { DynamicFusionGpuPool2dValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, @@ -177,7 +174,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class DynamicFusionGpuPool2dSpecialValidationFixture : public DynamicFusionGpuPool2dValidationGenericFixture<TensorType, AccessorType, FunctionType, T> { public: - template <typename...> void setup(TensorShape input_shape, Pool2dAttributes pool_attr, DataType data_type) { DynamicFusionGpuPool2dValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, pool_attr, data_type, false); 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