1 files changed, 250 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/SubtractionTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/SubtractionTestImpl.cpp
new file mode 100644
index 0000000000..61225d40e5
--- /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);
+}