diff options
Diffstat (limited to 'tests/validation/fixtures/ElementwiseOperationsFixture.h')
| -rw-r--r-- | tests/validation/fixtures/ElementwiseOperationsFixture.h | 342 |
1 files changed, 213 insertions, 129 deletions
diff --git a/tests/validation/fixtures/ElementwiseOperationsFixture.h b/tests/validation/fixtures/ElementwiseOperationsFixture.h index 44c096c521..f36a1f75b7 100644 --- a/tests/validation/fixtures/ElementwiseOperationsFixture.h +++ b/tests/validation/fixtures/ElementwiseOperationsFixture.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018-2020 ARM Limited. + * Copyright (c) 2018-2021, 2023 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -21,11 +21,12 @@ * 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 +#ifndef ACL_TESTS_VALIDATION_FIXTURES_ELEMENTWISEOPERATIONSFIXTURE_H +#define ACL_TESTS_VALIDATION_FIXTURES_ELEMENTWISEOPERATIONSFIXTURE_H #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" @@ -45,12 +46,14 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool is_inplace = false, bool use_dynamic_shape = false) { - _op = op; + _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); } @@ -59,16 +62,23 @@ protected: template <typename U> void fill(U &&tensor, int i) { - switch(_op) + 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 { - 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); + library->fill_tensor_uniform(tensor, i); } } @@ -76,26 +86,67 @@ protected: QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out) { // Create tensors - 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>(TensorShape::broadcast_shape(shape0, shape1), output_data_type, 1, qinfo_out); + 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, &dst); + elem_op.configure(&ref_src1, &ref_src2, actual_dst); - ARM_COMPUTE_EXPECT(ref_src1.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(ref_src2.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); + 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(); - dst.allocator()->allocate(); - ARM_COMPUTE_EXPECT(!ref_src1.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(!ref_src2.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); + // 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); @@ -104,7 +155,7 @@ protected: // Compute function elem_op.run(); - return dst; + return std::move(*actual_dst); } SimpleTensor<T> compute_reference(const TensorShape &shape0, const TensorShape &shape1, @@ -126,6 +177,8 @@ protected: TensorType _target{}; SimpleTensor<T> _reference{}; ArithmeticOperation _op{ ArithmeticOperation::ADD }; + bool _use_dynamic_shape{ false }; + bool _is_inplace{ false }; }; // Arithmetic operation fused with activation function @@ -133,15 +186,15 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + 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); - _act_info = act_info; + qinfo0, qinfo1, qinfo_out, is_inplace); + _act_info = act_info; + _is_inplace = is_inplace; } protected: @@ -149,26 +202,51 @@ protected: QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out) { // Create tensors - 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>(TensorShape::broadcast_shape(shape0, shape1), output_data_type, 1, qinfo_out); + 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, &dst, _act_info); + elem_op.configure(&ref_src1, &ref_src2, actual_dst, _act_info); - ARM_COMPUTE_EXPECT(ref_src1.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(ref_src2.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); + 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(); - dst.allocator()->allocate(); - ARM_COMPUTE_EXPECT(!ref_src1.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(!ref_src2.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); + // 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); @@ -177,7 +255,7 @@ protected: // Compute function elem_op.run(); - return dst; + return std::move(*actual_dst); } SimpleTensor<T> compute_reference(const TensorShape &shape0, const TensorShape &shape1, @@ -190,18 +268,18 @@ protected: } 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) + 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()); + QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), is_inplace); } }; @@ -209,12 +287,35 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + 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()); + QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), is_inplace); + } +}; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class ArithmeticDivisionBroadcastDynamicShapeValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + 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 /* use_dynamic_shape */); + } +}; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class ArithmeticDivisionDynamicShapeValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + 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, true /* use_dynamic_shape */); } }; @@ -222,12 +323,11 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + 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); + QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, is_inplace); } }; @@ -235,12 +335,23 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + 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: + 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); + QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, is_inplace); } }; @@ -248,14 +359,13 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + 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); + qinfo0, qinfo1, qinfo_out, is_inplace); } }; @@ -263,12 +373,11 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + 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()); + QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), is_inplace); } }; @@ -276,12 +385,11 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + 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()); + QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), is_inplace); } }; @@ -289,12 +397,11 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + 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); + QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, is_inplace); } }; @@ -302,12 +409,11 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + 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); + QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, is_inplace); } }; @@ -315,14 +421,13 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + 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); + qinfo0, qinfo1, qinfo_out, is_inplace); } }; @@ -330,14 +435,13 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + 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); + qinfo0, qinfo1, qinfo_out, is_inplace); } }; @@ -345,12 +449,11 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + 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()); + QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), is_inplace); } }; @@ -358,12 +461,11 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + 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()); + QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), is_inplace); } }; @@ -371,12 +473,11 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + 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); + QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, is_inplace); } }; @@ -384,12 +485,11 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + 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); + QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, is_inplace); } }; @@ -397,14 +497,13 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + 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); + qinfo0, qinfo1, qinfo_out, is_inplace); } }; @@ -412,14 +511,13 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + 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); + qinfo0, qinfo1, qinfo_out, is_inplace); } }; @@ -427,12 +525,11 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + 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()); + QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), is_inplace); } }; @@ -440,12 +537,11 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + 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()); + QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), is_inplace); } }; @@ -453,12 +549,11 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + 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); + QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, is_inplace); } }; @@ -466,12 +561,11 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + 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); + QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, is_inplace); } }; @@ -479,14 +573,13 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + 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); + qinfo0, qinfo1, qinfo_out, is_inplace); } }; @@ -494,14 +587,13 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + 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); + qinfo0, qinfo1, qinfo_out, is_inplace); } }; @@ -509,7 +601,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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, @@ -522,7 +613,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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, @@ -535,7 +625,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) @@ -550,7 +639,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) @@ -565,12 +653,11 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + 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()); + QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), is_inplace); } }; @@ -578,12 +665,11 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + 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()); + QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), is_inplace); } }; @@ -591,12 +677,11 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + 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); + QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, is_inplace); } }; @@ -604,16 +689,15 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ 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) + 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); + QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, is_inplace); } }; } // namespace validation } // namespace test } // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_ARITHMETIC_OPERATIONS_FIXTURE */ +#endif // ACL_TESTS_VALIDATION_FIXTURES_ELEMENTWISEOPERATIONSFIXTURE_H |