Release 18.03
[platform/upstream/armnn.git] / src / armnn / backends / test / PermuteTestImpl.hpp
index 4eafa1a..4ecffed 100644 (file)
@@ -119,3 +119,107 @@ LayerTestResult<uint8_t, 4> SimplePermuteUint8TestCommon(armnn::IWorkloadFactory
     return SimplePermuteTestImpl<uint8_t>(workloadFactory, descriptor, inputTensorInfo,
                                           outputTensorInfo, input, outputExpected);
 }
+
+LayerTestResult<float, 4>
+PermuteFloat32ValueSet1TestCommon(armnn::IWorkloadFactory& workloadFactory)
+{
+    armnn::TensorInfo inputTensorInfo;
+    armnn::TensorInfo outputTensorInfo;
+
+    unsigned int inputShape[]  = { 1, 2, 2, 3 };
+    unsigned int outputShape[] = { 1, 3, 2, 2 };
+
+    armnn::PermuteDescriptor descriptor;
+    descriptor.m_DimMappings = {0U, 2U, 3U, 1U};
+
+    inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::DataType::Float32);
+    outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::Float32);
+
+    std::vector<float> input = std::vector<float>(
+            {
+                    1.0f,   2.0f,  3.0f,
+                    11.0f, 12.0f, 13.0f,
+                    21.0f, 22.0f, 23.0f,
+                    31.0f, 32.0f, 33.0f,
+            });
+
+    std::vector<float> outputExpected = std::vector<float>(
+            {
+                    1.0f, 11.0f, 21.0f, 31.0f,
+                    2.0f, 12.0f, 22.0f, 32.0f,
+                    3.0f, 13.0f, 23.0f, 33.0f,
+            });
+
+    return SimplePermuteTestImpl<float>(workloadFactory, descriptor, inputTensorInfo,
+                                        outputTensorInfo, input, outputExpected);
+}
+
+LayerTestResult<float, 4>
+PermuteFloat32ValueSet2TestCommon(armnn::IWorkloadFactory& workloadFactory)
+{
+    armnn::TensorInfo inputTensorInfo;
+    armnn::TensorInfo outputTensorInfo;
+
+    unsigned int inputShape[]  = { 1, 3, 2, 2 };
+    unsigned int outputShape[] = { 1, 2, 2, 3 };
+
+    armnn::PermuteDescriptor descriptor;
+    descriptor.m_DimMappings = {0U, 3U, 1U, 2U};
+
+    inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::DataType::Float32);
+    outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::Float32);
+
+    std::vector<float> input = std::vector<float>(
+            {
+                1.0f, 11.0f, 21.0f, 31.0f,
+                2.0f, 12.0f, 22.0f, 32.0f,
+                3.0f, 13.0f, 23.0f, 33.0f,
+            });
+
+    std::vector<float> outputExpected = std::vector<float>(
+            {
+                1.0f,   2.0f,  3.0f,
+                11.0f, 12.0f, 13.0f,
+                21.0f, 22.0f, 23.0f,
+                31.0f, 32.0f, 33.0f,
+            });
+
+    return SimplePermuteTestImpl<float>(workloadFactory, descriptor, inputTensorInfo,
+                                        outputTensorInfo, input, outputExpected);
+}
+
+LayerTestResult<float, 4>
+PermuteFloat32ValueSet3TestCommon(armnn::IWorkloadFactory& workloadFactory)
+{
+    armnn::TensorInfo inputTensorInfo;
+    armnn::TensorInfo outputTensorInfo;
+
+    unsigned int inputShape[]  = { 1, 2, 3, 3 };
+    unsigned int outputShape[] = { 1, 3, 2, 3 };
+
+    armnn::PermuteDescriptor descriptor;
+    descriptor.m_DimMappings = {0U, 2U, 3U, 1U};
+
+    inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::DataType::Float32);
+    outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::Float32);
+
+    std::vector<float> input = std::vector<float>(
+            {
+                1.0f,   2.0f,  3.0f,
+                11.0f, 12.0f, 13.0f,
+                21.0f, 22.0f, 23.0f,
+                31.0f, 32.0f, 33.0f,
+                41.0f, 42.0f, 43.0f,
+                51.0f, 52.0f, 53.0f,
+            });
+
+    std::vector<float> outputExpected = std::vector<float>(
+            {
+                1.0f, 11.0f, 21.0f, 31.0f, 41.0f, 51.0f,
+                2.0f, 12.0f, 22.0f, 32.0f, 42.0f, 52.0f,
+                3.0f, 13.0f, 23.0f, 33.0f, 43.0f, 53.0f,
+            });
+
+    return SimplePermuteTestImpl<float>(workloadFactory, descriptor, inputTensorInfo,
+                                        outputTensorInfo, input, outputExpected);
+}