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author | Jakub Sujak <jakub.sujak@arm.com> | 2021-06-04 09:46:08 +0100 |
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committer | Michele Di Giorgio <michele.digiorgio@arm.com> | 2021-06-11 09:19:27 +0000 |
commit | ee301b384f4aeb697a5c249b8bb848d784146582 (patch) | |
tree | e42ecfcfdbf95d21d5d01a422663161d32fe1733 /tests/validation/fixtures/ElementwiseUnaryFixture.h | |
parent | a5c428a5428d1c7a9d1d03fd198d6a8578b6c12c (diff) | |
download | ComputeLibrary-ee301b384f4aeb697a5c249b8bb848d784146582.tar.gz |
Fix errata in documentation
This patch addresses the following errata found in the project documentation:
* Common typos.
* Missing use of trademarks.
* Incomplete operator descriptions.
* Examples of code that have since been removed from the library.
* Plus clarification over the usage of `All` category for data types and layouts.
In addition, the Operator list was not generated properly due to:
* Non-matching cases in the filenames (i.e. `Elementwise` and `ElementWise`). For consistency, all usages of the latter have been renamed to the former.
* Extra data layout tables in the headers for the `NESlice` and `NEStridedSlice` functions (note: not present in CL counterpart) meant documentation for those functions was generated twice.
Resolves: COMPMID-4561, COMPMID-4562, COMPMID-4563
Change-Id: I1eb24559545397749e636ffbf927727fb1bc6201
Signed-off-by: Jakub Sujak <jakub.sujak@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5769
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Sheri Zhang <sheri.zhang@arm.com>
Reviewed-by: SiCong Li <sicong.li@arm.com>
Diffstat (limited to 'tests/validation/fixtures/ElementwiseUnaryFixture.h')
-rw-r--r-- | tests/validation/fixtures/ElementwiseUnaryFixture.h | 297 |
1 files changed, 297 insertions, 0 deletions
diff --git a/tests/validation/fixtures/ElementwiseUnaryFixture.h b/tests/validation/fixtures/ElementwiseUnaryFixture.h new file mode 100644 index 0000000000..7221226fd1 --- /dev/null +++ b/tests/validation/fixtures/ElementwiseUnaryFixture.h @@ -0,0 +1,297 @@ +/* + * 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_UNARY_FIXTURE +#define ARM_COMPUTE_TEST_ELEMENTWISE_UNARY_FIXTURE + +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.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/reference/ElementwiseUnary.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class ElementWiseUnaryValidationFixture : public framework::Fixture +{ +public: + template <typename...> + void setup(TensorShape input_shape, DataType input_data_type, bool in_place, ElementWiseUnary op, bool use_dynamic_shape = false) + { + _op = op; + _target = compute_target(input_shape, input_data_type, in_place); + _reference = compute_reference(input_shape, input_data_type); + _use_dynamic_shape = use_dynamic_shape; + } + +protected: + template <typename U> + void fill(U &&tensor, int i, DataType data_type) + { + using FloatType = typename std::conditional < std::is_same<T, half>::value || std::is_floating_point<T>::value, T, float >::type; + using FloatDistributionType = typename std::conditional<std::is_same<T, half>::value, arm_compute::utils::uniform_real_distribution_16bit<T>, std::uniform_real_distribution<FloatType>>::type; + + switch(_op) + { + case ElementWiseUnary::EXP: + { + FloatDistributionType distribution{ FloatType(-1.0f), FloatType(1.0f) }; + library->fill(tensor, distribution, i); + break; + } + case ElementWiseUnary::RSQRT: + { + FloatDistributionType distribution{ FloatType(1.0f), FloatType(2.0f) }; + library->fill(tensor, distribution, i); + break; + } + case ElementWiseUnary::ABS: + case ElementWiseUnary::NEG: + { + switch(data_type) + { + case DataType::F16: + { + arm_compute::utils::uniform_real_distribution_16bit<half> distribution{ -2.0f, 2.0f }; + library->fill(tensor, distribution, i); + break; + } + case DataType::F32: + { + FloatDistributionType distribution{ FloatType(-2.0f), FloatType(2.0f) }; + library->fill(tensor, distribution, i); + break; + } + case DataType::S32: + { + std::uniform_int_distribution<int32_t> distribution(-100, 100); + library->fill(tensor, distribution, i); + break; + } + default: + ARM_COMPUTE_ERROR("DataType for Elementwise Negation Not implemented"); + } + break; + } + case ElementWiseUnary::LOG: + { + FloatDistributionType distribution{ FloatType(0.0000001f), FloatType(100.0f) }; + library->fill(tensor, distribution, i); + break; + } + case ElementWiseUnary::SIN: + { + FloatDistributionType distribution{ FloatType(-100.00f), FloatType(100.00f) }; + library->fill(tensor, distribution, i); + break; + } + case ElementWiseUnary::ROUND: + { + FloatDistributionType distribution{ FloatType(100.0f), FloatType(-100.0f) }; + library->fill(tensor, distribution, i); + break; + } + default: + ARM_COMPUTE_ERROR("Not implemented"); + } + } + + TensorType compute_target(const TensorShape &shape, DataType data_type, bool in_place) + { + // Create tensors + TensorType src = create_tensor<TensorType>(shape, data_type); + TensorType dst = create_tensor<TensorType>(shape, data_type); + + TensorType *actual_dst = in_place ? &src : &dst; + + // 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(src); + } + + // Create and configure function + FunctionType elwiseunary_layer; + elwiseunary_layer.configure(&src, actual_dst); + + if(_use_dynamic_shape) + { + set_tensor_static(src); + } + + ARM_COMPUTE_ASSERT(src.info()->is_resizable()); + src.allocator()->allocate(); + ARM_COMPUTE_ASSERT(!src.info()->is_resizable()); + if(!in_place) + { + ARM_COMPUTE_ASSERT(dst.info()->is_resizable()); + dst.allocator()->allocate(); + ARM_COMPUTE_ASSERT(!dst.info()->is_resizable()); + } + + // Fill tensors + fill(AccessorType(src), 0, data_type); + + // Compute function + elwiseunary_layer.run(); + + if(in_place) + { + return src; + } + else + { + return dst; + } + } + + SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type) + { + // Create reference + SimpleTensor<T> src{ shape, data_type }; + + // Fill reference + fill(src, 0, data_type); + + return reference::elementwise_unary<T>(src, _op); + } + + TensorType _target{}; + SimpleTensor<T> _reference{}; + ElementWiseUnary _op{}; + bool _use_dynamic_shape{ false }; +}; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class RsqrtValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + template <typename...> + void setup(const TensorShape &shape, DataType data_type) + { + ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::RSQRT); + } +}; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class RsqrtDynamicShapeValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + template <typename...> + void setup(const TensorShape &shape, DataType data_type) + { + ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::RSQRT, true); + } +}; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class ExpValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + template <typename...> + void setup(const TensorShape &shape, DataType data_type) + { + ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::EXP); + } +}; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class NegValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + template <typename...> + void setup(const TensorShape &shape, DataType data_type) + { + ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::NEG); + } +}; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class NegValidationInPlaceFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + template <typename...> + void setup(const TensorShape &shape, DataType data_type, bool in_place) + { + ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, in_place, ElementWiseUnary::NEG); + } +}; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class LogValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + template <typename...> + void setup(const TensorShape &shape, DataType data_type) + { + ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::LOG); + } +}; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class AbsValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + template <typename...> + void setup(const TensorShape &shape, DataType data_type) + { + ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::ABS); + } +}; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class SinValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + template <typename...> + void setup(const TensorShape &shape, DataType data_type) + { + ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::SIN); + } +}; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class RoundValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + template <typename...> + void setup(const TensorShape &shape, DataType data_type) + { + ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::ROUND); + } +}; +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_ELEMENTWISE_UNARY_FIXTURE */ |