IVGCVSW-2325 Reduce duplication in LayerTests by reusing the ElementwiseTestHelper
* Refactored tests for element-wise operations to use ElementwiseTestHelper
* Moved the etasts for each operation in a separate file under backendsCommon/test/layerTests
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: Icefb6b35df78b9619f69378229789505bf92670e
diff --git a/src/backends/backendsCommon/test/layerTests/SubtractionTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/SubtractionTestImpl.cpp
new file mode 100644
index 0000000..61225d4
--- /dev/null
+++ b/src/backends/backendsCommon/test/layerTests/SubtractionTestImpl.cpp
@@ -0,0 +1,250 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "SubtractionTestImpl.hpp"
+
+#include "ElementwiseTestImpl.hpp"
+
+template<>
+std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::SubtractionQueueDescriptor>(
+ const armnn::IWorkloadFactory& workloadFactory,
+ const armnn::WorkloadInfo& info,
+ const armnn::SubtractionQueueDescriptor& descriptor)
+{
+ return workloadFactory.CreateSubtraction(descriptor, info);
+}
+
+LayerTestResult<uint8_t, 4> SubtractionUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ const unsigned int shape0[] = { 1, 1, 2, 2 };
+ const unsigned int shape1[] = { 1, 1, 2, 2 };
+
+ std::vector<uint8_t> input0 = { 10, 12, 14, 16 };
+ std::vector<uint8_t> input1 = { 1, 2, 1, 2 };
+ std::vector<uint8_t> output = { 3, 3, 5, 5 };
+
+ return ElementwiseTestHelper<4, armnn::SubtractionQueueDescriptor, armnn::DataType::QuantisedAsymm8>(
+ workloadFactory,
+ memoryManager,
+ shape0,
+ input0,
+ 0.5f,
+ 2,
+ shape1,
+ input1,
+ 1.0f,
+ 0,
+ shape0,
+ output,
+ 1.0f,
+ 0);
+}
+
+LayerTestResult<uint8_t, 4> SubtractionBroadcast1ElementUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ const unsigned int shape0[] = { 1, 1, 2, 2 };
+ const unsigned int shape1[] = { 1, 1, 1, 1 };
+
+ std::vector<uint8_t> input0 = { 10, 12, 14, 16 };
+
+ std::vector<uint8_t> input1 = { 2 };
+
+ std::vector<uint8_t> output = { 5, 6, 7, 8 };
+
+ return ElementwiseTestHelper<4, armnn::SubtractionQueueDescriptor, armnn::DataType::QuantisedAsymm8>(
+ workloadFactory,
+ memoryManager,
+ shape0,
+ input0,
+ 0.5f,
+ 2,
+ shape1,
+ input1,
+ 1.0f,
+ 0,
+ shape0,
+ output,
+ 1.0f,
+ 3);
+}
+
+LayerTestResult<uint8_t, 4> SubtractionBroadcastUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ const unsigned int shape0[] = { 1, 1, 2, 2 };
+ const unsigned int shape1[] = { 1, 1, 2, 1 };
+
+ std::vector<uint8_t> input0 = { 10, 12, 14, 16 };
+
+ std::vector<uint8_t> input1 = { 2, 1 };
+
+ std::vector<uint8_t> output = { 8, 11, 12, 15 };
+
+ return ElementwiseTestHelper<4, armnn::SubtractionQueueDescriptor, armnn::DataType::QuantisedAsymm8>(
+ workloadFactory,
+ memoryManager,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output);
+}
+
+LayerTestResult<float, 4> SubtractionTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ const unsigned int shape0[] = { 1, 1, 2, 2 };
+ const unsigned int shape1[] = { 1, 1, 2, 2 };
+
+ std::vector<float> input0 = { 1, 2, 3, 4 };
+ std::vector<float> input1 = { 1, -1, 0, 2 };
+ std::vector<float> output = { 0, 3, 3, 2 };
+
+ return ElementwiseTestHelper<4, armnn::SubtractionQueueDescriptor, armnn::DataType::Float32>(
+ workloadFactory,
+ memoryManager,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output);
+}
+
+LayerTestResult<float, 4> SubtractionBroadcast1ElementTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ const unsigned int shape0[] = { 1, 1, 2, 2 };
+ const unsigned int shape1[] = { 1, 1, 1, 1 };
+
+ std::vector<float> input0 = { 1, 2, 3, 4 };
+
+ std::vector<float> input1 = { 10 };
+
+ std::vector<float> output = { -9, -8, -7, -6 };
+
+ return ElementwiseTestHelper<4, armnn::SubtractionQueueDescriptor, armnn::DataType::Float32>(
+ workloadFactory,
+ memoryManager,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output);
+}
+
+LayerTestResult<float, 4> SubtractionBroadcastTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ const unsigned int shape0[] = { 1, 1, 2, 2 };
+ const unsigned int shape1[] = { 1, 1, 1, 2 };
+
+ std::vector<float> input0 = { 1, 2, 3, 4 };
+
+ std::vector<float> input1 = { 10, -5 };
+
+ std::vector<float> output = { -9, 7, -7, 9 };
+
+ return ElementwiseTestHelper<4, armnn::SubtractionQueueDescriptor, armnn::DataType::Float32>(
+ workloadFactory,
+ memoryManager,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output);
+}
+
+LayerTestResult<int16_t, 4> SubtractionInt16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ const unsigned int shape[] = { 1, 1, 2, 2 };
+
+ std::vector<int16_t> input0 = { 10, 12, 14, 16 };
+ std::vector<int16_t> input1 = { 1, 2, 1, 2 };
+ std::vector<int16_t> output = { 3, 3, 5, 5 };
+
+ return ElementwiseTestHelper<4, armnn::SubtractionQueueDescriptor, armnn::DataType::QuantisedSymm16>(
+ workloadFactory,
+ memoryManager,
+ shape,
+ input0,
+ 0.5f,
+ 0,
+ shape,
+ input1,
+ 1.0f,
+ 0,
+ shape,
+ output,
+ 1.0f,
+ 0);
+}
+
+LayerTestResult<int16_t, 4> SubtractionBroadcast1ElementInt16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ const unsigned int shape0[] = { 1, 1, 2, 2 };
+ const unsigned int shape1[] = { 1, 1, 1, 1 };
+
+ std::vector<int16_t> input0 = { 10, 12, 14, 16 };
+
+ std::vector<int16_t> input1 = { 2 };
+
+ std::vector<int16_t> output = { 3, 4, 5, 6 };
+
+ return ElementwiseTestHelper<4, armnn::SubtractionQueueDescriptor, armnn::DataType::QuantisedSymm16>(
+ workloadFactory,
+ memoryManager,
+ shape0,
+ input0,
+ 0.5f,
+ 0,
+ shape1,
+ input1,
+ 1.0f,
+ 0,
+ shape0,
+ output,
+ 1.0f,
+ 0);
+}
+
+LayerTestResult<int16_t, 4> SubtractionBroadcastInt16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ const unsigned int shape0[] = { 1, 1, 2, 2 };
+ const unsigned int shape1[] = { 1, 1, 2, 1 };
+
+ std::vector<int16_t> input0 = { 10, 12, 14, 16 };
+
+ std::vector<int16_t> input1 = { 2, 1 };
+
+ std::vector<int16_t> output = { 8, 11, 12, 15 };
+
+ return ElementwiseTestHelper<4, armnn::SubtractionQueueDescriptor, armnn::DataType::QuantisedSymm16>(
+ workloadFactory,
+ memoryManager,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output);
+}