Add Queue support

Queues are responsible for scheduling operators and performing other
runtime related activities like for example tuning.

Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I0366d9048470d277b8cbf59fa42f95c0ae57c5c9
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5487
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 0 insertions, 184 deletions

diff --git a/tests/validation/fixtures/UNIT/TensorPack.h b/tests/validation/fixtures/UNIT/TensorPack.h
deleted file mode 100644
index 98bffb1665..0000000000
--- a/tests/validation/fixtures/UNIT/TensorPack.h
+++ /dev/null
@@ -1,184 +0,0 @@
-/*
- * 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_TENSORPACK
-#define ARM_COMPUTE_TEST_UNIT_TENSORPACK
-
-#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 AclCreateTensorPack
- *
- * Validate that AclCreateTensorPack behaves as expected with invalid context
- *
- * Test Steps:
- *  - Call AclCreateTensorPack with an invalid context
- *  - Confirm that AclInvalidArgument is reported
- *  - Confirm that the tensor pack is still nullptr
- */
-class CreateTensorPackWithInvalidContextFixture : public framework::Fixture
-{
-public:
-    void setup()
-    {
-        AclTensorPack pack = nullptr;
-        ARM_COMPUTE_ASSERT(AclCreateTensorPack(&pack, nullptr) == AclStatus::AclInvalidArgument);
-        ARM_COMPUTE_ASSERT(pack == nullptr);
-    };
-};
-
-/** Test case for AclDestroyTensorPack
- *
- * Validate that AclDestroyTensorPack behaves as expected when an invalid tensor pack is given
- *
- * Test Steps:
- *  - Call AclDestroyTensorPack with null tensor pack
- *  - Confirm that AclInvalidArgument is reported
- *  - Call AclDestroyTensorPack on empty array
- *  - Confirm that AclInvalidArgument is reported
- *  - Call AclDestroyTensorPack on an ACL object other than AclTensorPack
- *  - Confirm that AclInvalidArgument is reported
- *  - Confirm that tensor pack is still nullptr
- */
-template <acl::Target Target>
-class DestroyInvalidTensorPackFixture : public framework::Fixture
-{
-public:
-    void setup()
-    {
-        acl::Context ctx(Target);
-
-        std::array<char, 256> empty_array{};
-        AclTensorPack pack = nullptr;
-
-        ARM_COMPUTE_ASSERT(AclDestroyTensorPack(pack) == AclStatus::AclInvalidArgument);
-        ARM_COMPUTE_ASSERT(AclDestroyTensorPack(reinterpret_cast<AclTensorPack>(ctx.get())) == AclStatus::AclInvalidArgument);
-        ARM_COMPUTE_ASSERT(AclDestroyTensorPack(reinterpret_cast<AclTensorPack>(empty_array.data())) == AclStatus::AclInvalidArgument);
-        ARM_COMPUTE_ASSERT(pack == nullptr);
-    };
-};
-
-/** Test case for AclPackTensor
- *
- * Validate that AclPackTensor behaves as expected when an invalid is being passed for packing
- *
- * Test Steps:
- *  - Create a valid TensorPack
- *  - Try to pack an empty object
- *  - Confirm that AclInvalidArgument is reported
- *  - Try to pack another API object other than tensor
- *  - Confirm that AclInvalidArgument is reported
- */
-template <acl::Target Target>
-class AddInvalidObjectToTensorPackFixture : public framework::Fixture
-{
-public:
-    void setup()
-    {
-        auto err = acl::StatusCode::Success;
-
-        acl::Context ctx(Target, &err);
-        ARM_COMPUTE_ASSERT(err == acl::StatusCode::Success);
-
-        acl::TensorPack pack(ctx, &err);
-        ARM_COMPUTE_ASSERT(err == acl::StatusCode::Success);
-
-        auto status = AclPackTensor(pack.get(),
-                                    reinterpret_cast<AclTensor>(ctx.get()),
-                                    AclTensorSlot::AclSrc);
-        ARM_COMPUTE_ASSERT(status == AclInvalidArgument);
-
-        status = AclPackTensor(pack.get(), nullptr, AclTensorSlot::AclSrc);
-        ARM_COMPUTE_ASSERT(status == AclInvalidArgument);
-    };
-};
-
-/** Test case for AclPackTensor
- *
- * Validate that a tensor can be added successfully to the TensorPack
- *
- * Test Steps:
- *  - Create a valid tensor pack
- *  - Create a valid tensor
- *  - Add tensor to the tensor pack
- *  - Confirm that AclSuccess is returned
- */
-template <acl::Target Target>
-class SimpleTensorPackFixture : public framework::Fixture
-{
-public:
-    void setup()
-    {
-        acl::Context    ctx(Target);
-        acl::TensorPack pack(ctx);
-        acl::Tensor     t(ctx, acl::TensorDescriptor({ 3, 3, 5, 7 }, acl::DataType::Float32));
-
-        ARM_COMPUTE_ASSERT(pack.add(t, AclTensorSlot::AclSrc) == acl::StatusCode::Success);
-    };
-};
-
-/** Test case for AclPackTensor
- *
- * Validate that multiple tensor can be added successfully to the TensorPack
- *
- * Test Steps:
- *  - Create a valid tensor pack
- *  - Create a list of valid tensors
- *  - Add tensors to the tensor pack
- *  - Confirm that AclSuccess is returned
- */
-template <acl::Target Target>
-class MultipleTensorsInPackFixture : public framework::Fixture
-{
-public:
-    void setup()
-    {
-        acl::Context    ctx(Target);
-        acl::TensorPack pack(ctx);
-
-        const acl::TensorDescriptor desc(acl::TensorDescriptor({ 3, 3, 5, 7 }, acl::DataType::Float32));
-        const size_t                num_tensors = 256;
-
-        std::vector<acl::Tensor> tensors;
-        for(unsigned int i = 0; i < num_tensors; ++i)
-        {
-            auto err = acl::StatusCode::Success;
-            tensors.emplace_back(acl::Tensor(ctx, desc, &err));
-            ARM_COMPUTE_ASSERT(err == acl::StatusCode::Success);
-            ARM_COMPUTE_ASSERT(pack.add(tensors.back(), static_cast<int32_t>(AclTensorSlot::AclSrcVec) + i) == acl::StatusCode::Success);
-        }
-    };
-};
-} // namespace validation
-} // namespace test
-} // namespace arm_compute
-#endif /* ARM_COMPUTE_TEST_UNIT_TENSORPACK */