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Diffstat (limited to 'tests/validation/fixtures/UNIT/Tensor.h')
| -rw-r--r-- | tests/validation/fixtures/UNIT/Tensor.h | 298 |
1 files changed, 298 insertions, 0 deletions
diff --git a/tests/validation/fixtures/UNIT/Tensor.h b/tests/validation/fixtures/UNIT/Tensor.h new file mode 100644 index 0000000000..acd10c91fe --- /dev/null +++ b/tests/validation/fixtures/UNIT/Tensor.h @@ -0,0 +1,298 @@ +/* + * Copyright (c) 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_UNIT_TENSOR +#define ARM_COMPUTE_TEST_UNIT_TENSOR + +#include "arm_compute/Acl.hpp" +#include "tests/framework/Asserts.h" +#include "tests/framework/Fixture.h" +#include "tests/framework/Macros.h" +#include "tests/validation/Validation.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +/** Test case for AclCreateTensor + * + * Validate that AclCreateTensor behaves as expected with invalid context + * + * Test Steps: + * - Call AclCreateTensor with an invalid context + * - Confirm that AclInvalidArgument is reported + * - Confirm that the tensor is still nullptr + */ +class CreateTensorWithInvalidContextFixture : public framework::Fixture +{ +public: + void setup() + { + AclTensor tensor = nullptr; + ARM_COMPUTE_ASSERT(AclCreateTensor(&tensor, nullptr, nullptr, false) == AclStatus::AclInvalidArgument); + ARM_COMPUTE_ASSERT(tensor == nullptr); + }; +}; + +/** Test-case for AclCreateTensor + * + * Validate that AclCreateTensor behaves as expected on invalid descriptor + * + * Test Steps: + * - Call AclCreateTensor with valid context but invalid descriptor + * - Confirm that AclInvalidArgument is reported + * - Confirm that tensor is still nullptr + */ +template <acl::Target Target> +class CreateTensorWithInvalidDescriptorFixture : public framework::Fixture +{ +public: + void setup() + { + acl::Context ctx(Target); + AclTensor tensor = nullptr; + ARM_COMPUTE_ASSERT(AclCreateTensor(&tensor, ctx.get(), nullptr, false) == AclStatus::AclInvalidArgument); + ARM_COMPUTE_ASSERT(tensor == nullptr); + + // Check invalid data type + AclTensorDescriptor invalid_desc; + invalid_desc.ndims = 4; + invalid_desc.data_type = static_cast<AclDataType>(-1); + ARM_COMPUTE_ASSERT(AclCreateTensor(&tensor, ctx.get(), &invalid_desc, false) == AclStatus::AclInvalidArgument); + ARM_COMPUTE_ASSERT(tensor == nullptr); + + // Check invalid number of dimensions + invalid_desc.data_type = AclDataType::AclFloat32; + invalid_desc.ndims = 15; + ARM_COMPUTE_ASSERT(AclCreateTensor(&tensor, ctx.get(), &invalid_desc, false) == AclStatus::AclInvalidArgument); + ARM_COMPUTE_ASSERT(tensor == nullptr); + }; +}; + +/** Test case for AclDestroyTensor +* +* Validate that AclDestroyTensor behaves as expected when an invalid tensor is given +* +* Test Steps: +* - Call AclDestroyTensor with null tensor +* - Confirm that AclInvalidArgument is reported +* - Call AclDestroyTensor on empty array +* - Confirm that AclInvalidArgument is reported +* - Call AclDestroyTensor on an ACL object other than AclTensor +* - Confirm that AclInvalidArgument is reported +* - Confirm that tensor is still nullptr +*/ +template <acl::Target Target> +class DestroyInvalidTensorFixture : public framework::Fixture +{ +public: + void setup() + { + acl::Context ctx(Target); + + std::array<char, 256> empty_array{}; + AclTensor tensor = nullptr; + + ARM_COMPUTE_ASSERT(AclDestroyTensor(tensor) == AclStatus::AclInvalidArgument); + ARM_COMPUTE_ASSERT(AclDestroyTensor(reinterpret_cast<AclTensor>(ctx.get())) == AclStatus::AclInvalidArgument); + ARM_COMPUTE_ASSERT(AclDestroyTensor(reinterpret_cast<AclTensor>(empty_array.data())) == AclStatus::AclInvalidArgument); + ARM_COMPUTE_ASSERT(tensor == nullptr); + }; +}; + +/** Test case for AclCreateTensor + * + * Validate that a tensor can be created successfully + * + * Test Steps: + * - Create a valid context + * - Create a valid tensor + * - Confirm that AclSuccess is returned + */ +template <acl::Target Target> +class SimpleTensorFixture : public framework::Fixture +{ +public: + void setup() + { + acl::StatusCode err = acl::StatusCode::Success; + acl::Context ctx(Target, &err); + + ARM_COMPUTE_ASSERT(err == acl::StatusCode::Success); + acl::Tensor tensor(ctx, acl::TensorDescriptor({ 2, 3 }, acl::DataType::Float32), &err); + ARM_COMPUTE_ASSERT(err == acl::StatusCode::Success); + }; +}; + +/** Test case for AclTensor + * + * Validate that multiple tensors can be created successfully + * Possibly stress the possibility of memory leaks + * + * Test Steps: + * - Create a valid context + * - Create a lot of tensors + * - Confirm that AclSuccess is returned + */ +template <acl::Target Target> +class TensorStressFixture : public framework::Fixture +{ +public: + void setup() + { + acl::StatusCode err = acl::StatusCode::Success; + + acl::Context ctx(Target, &err); + ARM_COMPUTE_ASSERT(err == acl::StatusCode::Success); + + const unsigned int num_tensors = 1024; + for(unsigned int i = 0; i < num_tensors; ++i) + { + acl::Tensor tensor(ctx, acl::TensorDescriptor({ 1024, 1024 }, acl::DataType::Float32), &err); + ARM_COMPUTE_ASSERT(err == acl::StatusCode::Success); + } + }; +}; + +/** Test case for AclMapTensor + * + * Validate that map on an invalid object fails + * + * Test Steps: + * - Create a valid context + * - Pass and invalid object for mapping + * - Confirm that AclInvalidArgument is returned + */ +template <acl::Target Target> +class MapInvalidTensorFixture : public framework::Fixture +{ +public: + void setup() + { + acl::StatusCode err = acl::StatusCode::Success; + + acl::Context ctx(Target, &err); + ARM_COMPUTE_ASSERT(err == acl::StatusCode::Success); + + void *handle = nullptr; + ARM_COMPUTE_ASSERT(AclMapTensor(reinterpret_cast<AclTensor>(ctx.get()), &handle) == AclStatus::AclInvalidArgument); + }; +}; + +/** Test case for AclMapTensor + * + * Validate that map of an unallocated pointer is nullptr + * + * Test Steps: + * - Create a valid context + * - Create a valid tensor without allocating + * - Map tensor + * - Check that mapping is nullptr + */ +template <acl::Target Target> +class MapNotAllocatedTensorFixture : public framework::Fixture +{ +public: + void setup() + { + acl::StatusCode err = acl::StatusCode::Success; + + acl::Context ctx(Target, &err); + ARM_COMPUTE_ASSERT(err == acl::StatusCode::Success); + + acl::Tensor tensor(ctx, acl::TensorDescriptor({ 8, 8 }, acl::DataType::Float32), false /* allocate */, &err); + ARM_COMPUTE_ASSERT(err == acl::StatusCode::Success); + ARM_COMPUTE_ASSERT(tensor.map() == nullptr); + }; +}; + +/** Test case for AclMapTensor + * + * Validate that map of a valid tensor return a non-nullptr value + * + * Test Steps: + * - Create a valid context + * - Create a valid tensor while allocating + * - Map tensor + * - Check that mapping is not nullptr + */ +template <acl::Target Target> +class MapAllocatedTensorFixture : public framework::Fixture +{ +public: + void setup() + { + acl::StatusCode err = acl::StatusCode::Success; + + acl::Context ctx(Target, &err); + ARM_COMPUTE_ASSERT(err == acl::StatusCode::Success); + + acl::Tensor tensor(ctx, acl::TensorDescriptor({ 8, 8 }, acl::DataType::Float32), &err); + ARM_COMPUTE_ASSERT(err == acl::StatusCode::Success); + + void *handle = tensor.map(); + ARM_COMPUTE_ASSERT(handle != nullptr); + ARM_COMPUTE_ASSERT(tensor.unmap(handle) == acl::StatusCode::Success); + }; +}; + +/** Test case for AclTensorImport + * + * Validate that an externally memory can be successfully imported + * + * Test Steps: + * - Create a valid context + * - Create a valid tensor without allocating + * - Allocate external memory + * - Import memory to the tensor + * - Check that imported pointer matches + */ +template <acl::Target Target> +class ImportMemoryFixture : public framework::Fixture +{ +public: + void setup() + { + acl::StatusCode err = acl::StatusCode::Success; + + acl::Context ctx(Target, &err); + ARM_COMPUTE_ASSERT(err == acl::StatusCode::Success); + + const int32_t size = 8; + acl::Tensor tensor(ctx, acl::TensorDescriptor({ size }, acl::DataType::Float32), false /* allocate */, &err); + ARM_COMPUTE_ASSERT(err == acl::StatusCode::Success); + + std::vector<float> data(size); + err = tensor.import(data.data(), acl::ImportType::Host); + + void *handle = tensor.map(); + ARM_COMPUTE_ASSERT(handle == data.data()); + ARM_COMPUTE_ASSERT(tensor.unmap(handle) == acl::StatusCode::Success); + } +}; +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_UNIT_TENSOR */ |