From 9515c7ec4f4535fff2c8f2d3f88974474d3f3468 Mon Sep 17 00:00:00 2001
From: Keith Davis <keith.davis@arm.com>
Date: Fri, 21 Jun 2019 09:33:59 +0100
Subject: IVGCVSW-3263 - Add End to End tests for SpaceToDepth on Ref

Change-Id: I35d1c06b34ca160895f902255a69b87b711275b7
Signed-off-by: Keith Davis <keith.davis@arm.com>
---
 src/backends/reference/test/RefEndToEndTests.cpp | 118 +++++++++++++++++++++++
 1 file changed, 118 insertions(+)

(limited to 'src/backends/reference/test')

diff --git a/src/backends/reference/test/RefEndToEndTests.cpp b/src/backends/reference/test/RefEndToEndTests.cpp
index 885773d5e9..be73116f65 100644
--- a/src/backends/reference/test/RefEndToEndTests.cpp
+++ b/src/backends/reference/test/RefEndToEndTests.cpp
@@ -10,6 +10,7 @@
 #include <backendsCommon/test/GatherEndToEndTestImpl.hpp>
 #include <backendsCommon/test/ConcatTestImpl.hpp>
 #include <backendsCommon/test/ArithmeticTestImpl.hpp>
+#include <backendsCommon/test/SpaceToDepthEndToEndTestImpl.hpp>
 #include <backendsCommon/test/SplitterEndToEndTestImpl.hpp>
 
 #include <boost/test/unit_test.hpp>
@@ -641,6 +642,123 @@ BOOST_AUTO_TEST_CASE(RefDetectionPostProcessFastNmsUint8Test)
                                                                           1.0f, 1, 0.01f, 0, 0.5f, 0);
 }
 
+BOOST_AUTO_TEST_CASE(RefSpaceToDepthNHWCEndToEndTest1)
+{
+    const unsigned int blockSize = 2;
+
+    armnn::TensorShape inputShape{1, 2, 2, 1};
+    armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32);
+
+    armnn::TensorShape outputShape{1, 1, 1, 4};
+    armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32);
+
+    std::vector<float> inputData = std::vector<float>(
+    {
+        1.0f, 2.0f, 3.0f, 4.0f
+    });
+
+    std::vector<float> expectedOutputData = std::vector<float>(
+    {
+        1.0f, 2.0f, 3.0f, 4.0f
+    });
+
+    SpaceToDepthEndToEnd(defaultBackends,
+                        armnn::DataLayout::NHWC,
+                        inputTensorInfo,
+                        outputTensorInfo,
+                        inputData,
+                        expectedOutputData,
+                        blockSize);
+}
+
+BOOST_AUTO_TEST_CASE(RefSpaceToDepthNCHWEndToEndTest1)
+{
+    const unsigned int blockSize = 2;
+
+    armnn::TensorShape inputShape{1, 2, 2, 1};
+    armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32);
+
+    armnn::TensorShape outputShape{1, 1, 1, 4};
+    armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32);
+
+    std::vector<float> inputData = std::vector<float>(
+    {
+        1.0f, 2.0f, 3.0f, 4.0f
+    });
+
+    std::vector<float> expectedOutputData = std::vector<float>(
+    {
+        1.0f, 2.0f, 3.0f, 4.0f
+    });
+
+    SpaceToDepthEndToEnd(defaultBackends,
+                        armnn::DataLayout::NCHW,
+                        inputTensorInfo,
+                        outputTensorInfo,
+                        inputData,
+                        expectedOutputData,
+                        blockSize);
+}
+
+BOOST_AUTO_TEST_CASE(RefSpaceToDepthNHWCEndToEndTest2)
+{
+    const unsigned int blockSize = 2;
+
+    armnn::TensorShape inputShape{1, 2, 2, 2};
+    armnn::TensorShape outputShape{1, 1, 1, 8};
+
+    armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32);
+    armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32);
+
+    std::vector<float> inputData = std::vector<float>(
+    {
+        1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f
+    });
+
+    std::vector<float> expectedOutputData = std::vector<float>(
+    {
+        1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f
+    });
+
+    SpaceToDepthEndToEnd(defaultBackends,
+                        armnn::DataLayout::NHWC,
+                        inputTensorInfo,
+                        outputTensorInfo,
+                        inputData,
+                        expectedOutputData,
+                        blockSize);
+}
+
+BOOST_AUTO_TEST_CASE(RefSpaceToDepthNCHWEndToEndTest2)
+{
+    const unsigned int blockSize = 2;
+
+    armnn::TensorShape inputShape{1, 2, 2, 2};
+    armnn::TensorShape outputShape{1, 1, 1, 8};
+
+    armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32);
+    armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32);
+
+
+    std::vector<float> inputData = std::vector<float>(
+    {
+        1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f
+    });
+
+    std::vector<float> expectedOutputData = std::vector<float>(
+    {
+        1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f
+    });
+
+    SpaceToDepthEndToEnd(defaultBackends,
+                        armnn::DataLayout::NCHW,
+                        inputTensorInfo,
+                        outputTensorInfo,
+                        inputData,
+                        expectedOutputData,
+                        blockSize);
+}
+
 BOOST_AUTO_TEST_CASE(RefSplitter1dEndToEndTest)
 {
     Splitter1dEndToEnd<armnn::DataType::Float32>(defaultBackends);
-- 
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