aboutsummaryrefslogtreecommitdiff
path: root/src/backends/cl/test/ClCreateWorkloadTests.cpp
diff options
context:
space:
mode:
authorMike Kelly <mike.kelly@arm.com>2023-03-08 13:47:17 +0000
committerFrancis Murtagh <francis.murtagh@arm.com>2023-03-14 16:40:09 +0000
commit3ec3077b4eaedcc0c20ab5774bdbe365da541445 (patch)
treed601d2000897dec8691bf64cbddc9036f26b8034 /src/backends/cl/test/ClCreateWorkloadTests.cpp
parenta088cd00b3cce672d26cdcb4965fc2a86b48f339 (diff)
downloadarmnn-3ec3077b4eaedcc0c20ab5774bdbe365da541445.tar.gz
IVGCVSW-3808 Add ElementwiseBinaryLayer
!android-nn-driver:9329 * Added ElementwiseBinaryLayer that can represent all ElementwiseBinary operations including Add, Div, Sub, Maximum, Mul and Minimum. * Updated Delegate to use ElementwiseBinaryLayer instead of the Add, Div, Sub, Maximum, Mul and Minimum layers. * Updated Deserializer to use ElementwiseBinaryLayer instead of the Add, Div, Sub, Maximum, Mul and Minimum layers. * Updated OnnxParser to use ElementwiseBinaryLayer instead of the Add layer. * Updated TfLiteParser to use ElementwiseBinaryLayer instead of the Add, Div, Sub, Maximum, Mul and Minimum layers. * Updated CL and Neon tests to use ElementwiseBinaryLayer. * Updated CL and Neon Backend Specific Optimizations to accept ElementBinaryLayers as well as Add, Div, Mul, Sub, Maximum and Minimum layers. Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: I7cbb96b60eb01f0e2b57b0541016d48a08b86c75
Diffstat (limited to 'src/backends/cl/test/ClCreateWorkloadTests.cpp')
-rw-r--r--src/backends/cl/test/ClCreateWorkloadTests.cpp46
1 files changed, 13 insertions, 33 deletions
diff --git a/src/backends/cl/test/ClCreateWorkloadTests.cpp b/src/backends/cl/test/ClCreateWorkloadTests.cpp
index adea733582..c49ca23266 100644
--- a/src/backends/cl/test/ClCreateWorkloadTests.cpp
+++ b/src/backends/cl/test/ClCreateWorkloadTests.cpp
@@ -1,5 +1,5 @@
//
-// Copyright © 2017,2022 Arm Ltd and Contributors. All rights reserved.
+// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
@@ -66,19 +66,17 @@ TEST_CASE_FIXTURE(ClContextControlFixture, "CreateActivationFloat16Workload")
}
template <typename WorkloadType,
- typename DescriptorType,
- typename LayerType,
armnn::DataType DataType>
-static void ClCreateElementwiseWorkloadTest()
+static void ClCreateElementwiseWorkloadTest(BinaryOperation binaryOperator)
{
Graph graph;
ClWorkloadFactory factory =
ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager());
- auto workload = CreateElementwiseWorkloadTest<WorkloadType, DescriptorType, LayerType, DataType>(factory, graph);
+ auto workload = CreateElementwiseBinaryWorkloadTest<WorkloadType, DataType>(factory, graph, binaryOperator);
// Checks that inputs/outputs are as we expect them (see definition of CreateElementwiseWorkloadTest).
- DescriptorType queueDescriptor = workload->GetData();
+ auto queueDescriptor = workload->GetData();
auto inputHandle1 = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]);
auto inputHandle2 = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Inputs[1]);
auto outputHandle = PolymorphicDowncast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]);
@@ -93,73 +91,55 @@ static void ClCreateElementwiseWorkloadTest()
TEST_CASE_FIXTURE(ClContextControlFixture, "CreateAdditionFloatWorkload")
{
ClCreateElementwiseWorkloadTest<ClAdditionWorkload,
- AdditionQueueDescriptor,
- AdditionLayer,
- armnn::DataType::Float32>();
+ armnn::DataType::Float32>(BinaryOperation::Add);
}
TEST_CASE_FIXTURE(ClContextControlFixture, "CreateAdditionFloat16Workload")
{
ClCreateElementwiseWorkloadTest<ClAdditionWorkload,
- AdditionQueueDescriptor,
- AdditionLayer,
- armnn::DataType::Float16>();
+ armnn::DataType::Float16>(BinaryOperation::Add);
}
TEST_CASE_FIXTURE(ClContextControlFixture, "CreateSubtractionFloatWorkload")
{
ClCreateElementwiseWorkloadTest<ClSubtractionWorkload,
- SubtractionQueueDescriptor,
- SubtractionLayer,
- armnn::DataType::Float32>();
+ armnn::DataType::Float32>(BinaryOperation::Sub);
}
TEST_CASE_FIXTURE(ClContextControlFixture, "CreateSubtractionFloat16Workload")
{
ClCreateElementwiseWorkloadTest<ClSubtractionWorkload,
- SubtractionQueueDescriptor,
- SubtractionLayer,
- armnn::DataType::Float16>();
+ armnn::DataType::Float16>(BinaryOperation::Sub);
}
TEST_CASE_FIXTURE(ClContextControlFixture, "CreateMultiplicationFloatWorkloadTest")
{
ClCreateElementwiseWorkloadTest<ClMultiplicationWorkload,
- MultiplicationQueueDescriptor,
- MultiplicationLayer,
- armnn::DataType::Float32>();
+ armnn::DataType::Float32>(BinaryOperation::Mul);
}
TEST_CASE_FIXTURE(ClContextControlFixture, "CreateMultiplicationFloat16WorkloadTest")
{
ClCreateElementwiseWorkloadTest<ClMultiplicationWorkload,
- MultiplicationQueueDescriptor,
- MultiplicationLayer,
- armnn::DataType::Float16>();
+ armnn::DataType::Float16>(BinaryOperation::Mul);
}
TEST_CASE_FIXTURE(ClContextControlFixture, "CreateMultiplicationUint8WorkloadTest")
{
ClCreateElementwiseWorkloadTest<ClMultiplicationWorkload,
- MultiplicationQueueDescriptor,
- MultiplicationLayer,
- armnn::DataType::QAsymmU8>();
+ armnn::DataType::QAsymmU8>(BinaryOperation::Mul);
}
TEST_CASE_FIXTURE(ClContextControlFixture, "CreateDivisionFloatWorkloadTest")
{
ClCreateElementwiseWorkloadTest<ClDivisionWorkload,
- DivisionQueueDescriptor,
- DivisionLayer,
- armnn::DataType::Float32>();
+ armnn::DataType::Float32>(BinaryOperation::Div);
}
TEST_CASE_FIXTURE(ClContextControlFixture, "CreateDivisionFloat16WorkloadTest")
{
ClCreateElementwiseWorkloadTest<ClDivisionWorkload,
- DivisionQueueDescriptor,
- DivisionLayer,
- armnn::DataType::Float16>();
+ armnn::DataType::Float16>(BinaryOperation::Div);
}
template <typename WorkloadType,