| /* | |
| * Copyright (c) 2018-2021 Arm Limited. | |
| * | |
| * SPDX-License-Identifier: MIT | |
| * | |
| * Permission is hereby granted, free of charge, to any person obtaining a copy | |
| * of this software and associated documentation files (the "Software"), to | |
| * deal in the Software without restriction, including without limitation the | |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or | |
| * sell copies of the Software, and to permit persons to whom the Software is | |
| * furnished to do so, subject to the following conditions: | |
| * | |
| * The above copyright notice and this permission notice shall be included in all | |
| * copies or substantial portions of the Software. | |
| * | |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | |
| * SOFTWARE. | |
| */ | |
| #ifndef ARM_COMPUTE_TEST_ELEMENTWISE_OPERATIONS_FIXTURE | |
| #define ARM_COMPUTE_TEST_ELEMENTWISE_OPERATIONS_FIXTURE | |
| #include "arm_compute/core/TensorShape.h" | |
| #include "arm_compute/core/Types.h" | |
| #include "arm_compute/core/Validate.h" | |
| #include "tests/AssetsLibrary.h" | |
| #include "tests/Globals.h" | |
| #include "tests/IAccessor.h" | |
| #include "tests/framework/Asserts.h" | |
| #include "tests/framework/Fixture.h" | |
| #include "tests/validation/Helpers.h" | |
| #include "tests/validation/reference/ActivationLayer.h" | |
| #include "tests/validation/reference/ElementwiseOperations.h" | |
| namespace arm_compute | |
| { | |
| namespace test | |
| { | |
| namespace validation | |
| { | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ArithmeticOperationsGenericFixture : public framework::Fixture | |
| { | |
| public: | |
| template <typename...> | |
| void setup(ArithmeticOperation op, const TensorShape &shape0, const TensorShape &shape1, | |
| DataType data_type0, DataType data_type1, DataType output_data_type, | |
| QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool is_inplace = false, bool use_dynamic_shape = false) | |
| { | |
| _op = op; | |
| _use_dynamic_shape = use_dynamic_shape; | |
| _is_inplace = is_inplace; | |
| _target = compute_target(shape0, shape1, data_type0, data_type1, output_data_type, qinfo0, qinfo1, qinfo_out); | |
| _reference = compute_reference(shape0, shape1, data_type0, data_type1, output_data_type, qinfo0, qinfo1, qinfo_out); | |
| } | |
| protected: | |
| template <typename U> | |
| void fill(U &&tensor, int i) | |
| { | |
| if(is_data_type_float(tensor.data_type())) | |
| { | |
| switch(_op) | |
| { | |
| case ArithmeticOperation::DIV: | |
| library->fill_tensor_uniform_ranged(tensor, i, { std::pair<float, float>(-0.001f, 0.001f) }); | |
| break; | |
| case ArithmeticOperation::POWER: | |
| library->fill_tensor_uniform(tensor, i, 0.0f, 5.0f); | |
| break; | |
| default: | |
| library->fill_tensor_uniform(tensor, i); | |
| } | |
| } | |
| else | |
| { | |
| library->fill_tensor_uniform(tensor, i); | |
| } | |
| } | |
| TensorType compute_target(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, | |
| QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out) | |
| { | |
| // Create tensors | |
| const TensorShape out_shape = TensorShape::broadcast_shape(shape0, shape1); | |
| TensorType ref_src1 = create_tensor<TensorType>(shape0, data_type0, 1, qinfo0); | |
| TensorType ref_src2 = create_tensor<TensorType>(shape1, data_type1, 1, qinfo1); | |
| TensorType dst = create_tensor<TensorType>(out_shape, output_data_type, 1, qinfo_out); | |
| // Check whether do in-place computation and whether inputs are broadcast compatible | |
| TensorType *actual_dst = &dst; | |
| if(_is_inplace) | |
| { | |
| bool src1_is_inplace = !arm_compute::detail::have_different_dimensions(out_shape, shape0, 0) && (qinfo0 == qinfo_out) && (data_type0 == output_data_type); | |
| bool src2_is_inplace = !arm_compute::detail::have_different_dimensions(out_shape, shape1, 0) && (qinfo1 == qinfo_out) && (data_type1 == output_data_type); | |
| bool do_in_place = out_shape.total_size() != 0 && (src1_is_inplace || src2_is_inplace); | |
| ARM_COMPUTE_ASSERT(do_in_place); | |
| if(src1_is_inplace) | |
| { | |
| actual_dst = &ref_src1; | |
| } | |
| else | |
| { | |
| actual_dst = &ref_src2; | |
| } | |
| } | |
| // if _use_dynamic_shape is true, this fixture will test scenario for dynamic shapes. | |
| // - At configure time, all input tensors are marked as dynamic using set_tensor_dynamic() | |
| // - After configure, tensors are marked as static for run using set_tensor_static() | |
| // - The tensors with static shape are given to run() | |
| if(_use_dynamic_shape) | |
| { | |
| set_tensor_dynamic(ref_src1); | |
| set_tensor_dynamic(ref_src2); | |
| } | |
| // Create and configure function | |
| FunctionType elem_op; | |
| elem_op.configure(&ref_src1, &ref_src2, actual_dst); | |
| if(_use_dynamic_shape) | |
| { | |
| set_tensor_static(ref_src1); | |
| set_tensor_static(ref_src2); | |
| } | |
| ARM_COMPUTE_ASSERT(ref_src1.info()->is_resizable()); | |
| ARM_COMPUTE_ASSERT(ref_src2.info()->is_resizable()); | |
| // Allocate tensors | |
| ref_src1.allocator()->allocate(); | |
| ref_src2.allocator()->allocate(); | |
| // If don't do in-place computation, still need to allocate original dst | |
| if(!_is_inplace) | |
| { | |
| ARM_COMPUTE_ASSERT(dst.info()->is_resizable()); | |
| dst.allocator()->allocate(); | |
| ARM_COMPUTE_ASSERT(!dst.info()->is_resizable()); | |
| } | |
| ARM_COMPUTE_ASSERT(!ref_src1.info()->is_resizable()); | |
| ARM_COMPUTE_ASSERT(!ref_src2.info()->is_resizable()); | |
| // Fill tensors | |
| fill(AccessorType(ref_src1), 0); | |
| fill(AccessorType(ref_src2), 1); | |
| // Compute function | |
| elem_op.run(); | |
| return std::move(*actual_dst); | |
| } | |
| SimpleTensor<T> compute_reference(const TensorShape &shape0, const TensorShape &shape1, | |
| DataType data_type0, DataType data_type1, DataType output_data_type, | |
| QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out) | |
| { | |
| // Create reference | |
| SimpleTensor<T> ref_src1{ shape0, data_type0, 1, qinfo0 }; | |
| SimpleTensor<T> ref_src2{ shape1, data_type1, 1, qinfo1 }; | |
| SimpleTensor<T> ref_dst{ TensorShape::broadcast_shape(shape0, shape1), output_data_type, 1, qinfo_out }; | |
| // Fill reference | |
| fill(ref_src1, 0); | |
| fill(ref_src2, 1); | |
| return reference::arithmetic_operation<T>(_op, ref_src1, ref_src2, ref_dst); | |
| } | |
| TensorType _target{}; | |
| SimpleTensor<T> _reference{}; | |
| ArithmeticOperation _op{ ArithmeticOperation::ADD }; | |
| bool _use_dynamic_shape{ false }; | |
| bool _is_inplace{ false }; | |
| }; | |
| // Arithmetic operation fused with activation function | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ArithmeticOperationsFuseActivationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(ArithmeticOperation op, const TensorShape &shape0, const TensorShape &shape1, | |
| DataType data_type0, DataType data_type1, DataType output_data_type, | |
| QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, ActivationLayerInfo act_info, bool is_inplace = true) | |
| { | |
| ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(op, shape0, shape1, | |
| data_type0, data_type1, output_data_type, | |
| qinfo0, qinfo1, qinfo_out, is_inplace); | |
| _act_info = act_info; | |
| _is_inplace = is_inplace; | |
| } | |
| protected: | |
| TensorType compute_target(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, | |
| QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out) | |
| { | |
| // Create tensors | |
| const TensorShape out_shape = TensorShape::broadcast_shape(shape0, shape1); | |
| TensorType ref_src1 = create_tensor<TensorType>(shape0, data_type0, 1, qinfo0); | |
| TensorType ref_src2 = create_tensor<TensorType>(shape1, data_type1, 1, qinfo1); | |
| TensorType dst = create_tensor<TensorType>(out_shape, output_data_type, 1, qinfo_out); | |
| // Check whether do in-place computation and whether inputs are broadcast compatible | |
| TensorType *actual_dst = &dst; | |
| if(_is_inplace) | |
| { | |
| bool src1_is_inplace = !arm_compute::detail::have_different_dimensions(out_shape, shape0, 0) && (qinfo0 == qinfo_out) && (data_type0 == output_data_type); | |
| bool src2_is_inplace = !arm_compute::detail::have_different_dimensions(out_shape, shape1, 0) && (qinfo1 == qinfo_out) && (data_type1 == output_data_type); | |
| bool do_in_place = out_shape.total_size() != 0 && (src1_is_inplace || src2_is_inplace); | |
| ARM_COMPUTE_ASSERT(do_in_place); | |
| if(src1_is_inplace) | |
| { | |
| actual_dst = &ref_src1; | |
| } | |
| else | |
| { | |
| actual_dst = &ref_src2; | |
| } | |
| } | |
| // Create and configure function | |
| FunctionType elem_op; | |
| elem_op.configure(&ref_src1, &ref_src2, actual_dst, _act_info); | |
| ARM_COMPUTE_ASSERT(ref_src1.info()->is_resizable()); | |
| ARM_COMPUTE_ASSERT(ref_src2.info()->is_resizable()); | |
| // Allocate tensors | |
| ref_src1.allocator()->allocate(); | |
| ref_src2.allocator()->allocate(); | |
| // If don't do in-place computation, still need to allocate original dst | |
| if(!_is_inplace) | |
| { | |
| ARM_COMPUTE_ASSERT(dst.info()->is_resizable()); | |
| dst.allocator()->allocate(); | |
| ARM_COMPUTE_ASSERT(!dst.info()->is_resizable()); | |
| } | |
| ARM_COMPUTE_ASSERT(!ref_src1.info()->is_resizable()); | |
| ARM_COMPUTE_ASSERT(!ref_src2.info()->is_resizable()); | |
| // Fill tensors | |
| fill(AccessorType(ref_src1), 0); | |
| fill(AccessorType(ref_src2), 1); | |
| // Compute function | |
| elem_op.run(); | |
| return std::move(*actual_dst); | |
| } | |
| SimpleTensor<T> compute_reference(const TensorShape &shape0, const TensorShape &shape1, | |
| DataType data_type0, DataType data_type1, DataType output_data_type, | |
| QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out) | |
| { | |
| auto result = ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::compute_reference(shape0, shape1, data_type0, | |
| data_type1, output_data_type, qinfo0, qinfo1, qinfo_out); | |
| return _act_info.enabled() ? reference::activation_layer(result, _act_info, qinfo_out) : result; | |
| } | |
| ActivationLayerInfo _act_info{}; | |
| bool _is_inplace{ false }; | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ArithmeticDivisionBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, bool is_inplace) | |
| { | |
| ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::DIV, shape0, shape1, | |
| data_type0, data_type1, output_data_type, | |
| QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ArithmeticDivisionValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, bool is_inplace) | |
| { | |
| ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::DIV, shape, shape, | |
| data_type0, data_type1, output_data_type, | |
| QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ArithmeticDivisionBroadcastDynamicShapeValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, bool is_inplace) | |
| { | |
| ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::DIV, shape0, shape1, | |
| data_type0, data_type1, output_data_type, | |
| QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), is_inplace, true); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ArithmeticDivisionDynamicShapeValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, bool is_inplace) | |
| { | |
| ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::DIV, shape, shape, | |
| data_type0, data_type1, output_data_type, | |
| QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ArithmeticDivisionBroadcastValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info, bool is_inplace) | |
| { | |
| ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::DIV, shape0, shape1, | |
| data_type0, data_type1, output_data_type, | |
| QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ArithmeticDivisionValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info, bool is_inplace) | |
| { | |
| ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::DIV, shape, shape, | |
| data_type0, data_type1, output_data_type, | |
| QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ArithmeticDivisionValidationIntegerFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info, bool is_inplace) | |
| { | |
| ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::DIV, shape, shape, | |
| data_type0, data_type1, output_data_type, | |
| QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ArithmeticDivisionValidationQuantizedFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, | |
| QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool is_inplace) | |
| { | |
| ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::DIV, shape, shape, | |
| data_type0, data_type1, output_data_type, | |
| qinfo0, qinfo1, qinfo_out, is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ElementwiseMaxBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, bool is_inplace) | |
| { | |
| ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MAX, shape0, shape1, | |
| data_type0, data_type1, output_data_type, | |
| QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ElementwiseMaxValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, bool is_inplace) | |
| { | |
| ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MAX, shape, shape, | |
| data_type0, data_type1, output_data_type, | |
| QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ElementwiseMaxBroadcastValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info, bool is_inplace) | |
| { | |
| ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MAX, shape0, shape1, | |
| data_type0, data_type1, output_data_type, | |
| QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ElementwiseMaxValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info, bool is_inplace) | |
| { | |
| ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MAX, shape, shape, | |
| data_type0, data_type1, output_data_type, | |
| QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ElementwiseMaxValidationQuantizedFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, | |
| QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool is_inplace) | |
| { | |
| ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MAX, shape, shape, | |
| data_type0, data_type1, output_data_type, | |
| qinfo0, qinfo1, qinfo_out, is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ElementwiseMaxQuantizedBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, | |
| QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool is_inplace) | |
| { | |
| ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MAX, shape0, shape1, | |
| data_type0, data_type1, output_data_type, | |
| qinfo0, qinfo1, qinfo_out, is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ElementwiseMinBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, bool is_inplace) | |
| { | |
| ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MIN, shape0, shape1, | |
| data_type0, data_type1, output_data_type, | |
| QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ElementwiseMinValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, bool is_inplace) | |
| { | |
| ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MIN, shape, shape, | |
| data_type0, data_type1, output_data_type, | |
| QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ElementwiseMinBroadcastValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info, bool is_inplace) | |
| { | |
| ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MIN, shape0, shape1, | |
| data_type0, data_type1, output_data_type, | |
| QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ElementwiseMinValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info, bool is_inplace) | |
| { | |
| ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MIN, shape, shape, | |
| data_type0, data_type1, output_data_type, | |
| QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ElementwiseMinValidationQuantizedFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, | |
| QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool is_inplace) | |
| { | |
| ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MIN, shape, shape, | |
| data_type0, data_type1, output_data_type, | |
| qinfo0, qinfo1, qinfo_out, is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ElementwiseMinQuantizedBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, | |
| QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool is_inplace) | |
| { | |
| ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MIN, shape0, shape1, | |
| data_type0, data_type1, output_data_type, | |
| qinfo0, qinfo1, qinfo_out, is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ElementwiseSquaredDiffBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, bool is_inplace) | |
| { | |
| ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::SQUARED_DIFF, shape0, shape1, | |
| data_type0, data_type1, output_data_type, | |
| QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ElementwiseSquaredDiffValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, bool is_inplace) | |
| { | |
| ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::SQUARED_DIFF, shape, shape, | |
| data_type0, data_type1, output_data_type, | |
| QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ElementwiseSquaredDiffBroadcastValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info, bool is_inplace) | |
| { | |
| ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::SQUARED_DIFF, shape0, shape1, | |
| data_type0, data_type1, output_data_type, | |
| QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ElementwiseSquaredDiffValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info, bool is_inplace) | |
| { | |
| ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::SQUARED_DIFF, shape, shape, | |
| data_type0, data_type1, output_data_type, | |
| QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ElementwiseSquaredDiffValidationQuantizedFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, | |
| QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool is_inplace) | |
| { | |
| ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::SQUARED_DIFF, shape, shape, | |
| data_type0, data_type1, output_data_type, | |
| qinfo0, qinfo1, qinfo_out, is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ElementwiseSquaredDiffQuantizedBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, | |
| QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool is_inplace) | |
| { | |
| ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::SQUARED_DIFF, shape0, shape1, | |
| data_type0, data_type1, output_data_type, | |
| qinfo0, qinfo1, qinfo_out, is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class PReluLayerBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type) | |
| { | |
| ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::PRELU, shape0, shape1, | |
| data_type0, data_type1, output_data_type, | |
| QuantizationInfo(), QuantizationInfo(), QuantizationInfo()); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class PReluLayerValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type) | |
| { | |
| ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::PRELU, shape, shape, | |
| data_type0, data_type1, output_data_type, | |
| QuantizationInfo(), QuantizationInfo(), QuantizationInfo()); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class PReluLayerValidationQuantizedFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, | |
| QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out) | |
| { | |
| ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::PRELU, shape, shape, | |
| data_type0, data_type1, output_data_type, | |
| qinfo0, qinfo1, qinfo_out); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class PReluLayerQuantizedBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, | |
| QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out) | |
| { | |
| ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::PRELU, shape0, shape1, | |
| data_type0, data_type1, output_data_type, | |
| qinfo0, qinfo1, qinfo_out); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ElementwisePowerBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, bool is_inplace) | |
| { | |
| ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::POWER, shape0, shape1, | |
| data_type0, data_type1, output_data_type, | |
| QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ElementwisePowerValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, bool is_inplace) | |
| { | |
| ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::POWER, shape, shape, | |
| data_type0, data_type1, output_data_type, | |
| QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ElementwisePowerBroadcastValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info, bool is_inplace) | |
| { | |
| ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::POWER, shape0, shape1, | |
| data_type0, data_type1, output_data_type, | |
| QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, is_inplace); | |
| } | |
| }; | |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> | |
| class ElementwisePowerValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T> | |
| { | |
| public: | |
| template <typename...> | |
| void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info, bool is_inplace) | |
| { | |
| ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::POWER, shape, shape, | |
| data_type0, data_type1, output_data_type, | |
| QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, is_inplace); | |
| } | |
| }; | |
| } // namespace validation | |
| } // namespace test | |
| } // namespace arm_compute | |
| #endif /* ARM_COMPUTE_TEST_ARITHMETIC_OPERATIONS_FIXTURE */ |