From 541880fcf4572887e57658a508623fb5f95ac554 Mon Sep 17 00:00:00 2001
From: Cathal Corbett <cathal.corbett@arm.com>
Date: Mon, 16 May 2022 15:20:56 +0100
Subject: IVGCVSW-6147 ConstTensorsAsInput: Optimizer -
 FusePermuteIntoConstLayer

  * No trailing permute layer after a constant layer
  * Unit test for optimization

Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I0d098f5af41d2c55df7cef1ccfb848093320ddc1
---
 .../ConvertConstPermuteLayersToConstLayersTest.cpp | 60 ++++++++++++++++++++++
 1 file changed, 60 insertions(+)
 create mode 100644 src/armnn/test/optimizations/ConvertConstPermuteLayersToConstLayersTest.cpp

(limited to 'src/armnn/test/optimizations/ConvertConstPermuteLayersToConstLayersTest.cpp')

diff --git a/src/armnn/test/optimizations/ConvertConstPermuteLayersToConstLayersTest.cpp b/src/armnn/test/optimizations/ConvertConstPermuteLayersToConstLayersTest.cpp
new file mode 100644
index 0000000000..1fcba0e581
--- /dev/null
+++ b/src/armnn/test/optimizations/ConvertConstPermuteLayersToConstLayersTest.cpp
@@ -0,0 +1,60 @@
+//
+// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "LayersFwd.hpp"
+#include <Network.hpp>
+#include <doctest/doctest.h>
+#include <Optimizer.hpp>
+#include <TestUtils.hpp>
+
+TEST_SUITE("Optimizer")
+{
+using namespace armnn;
+using namespace armnn::optimizations;
+
+TEST_CASE("ConvertConstPermuteToConst")
+{
+    Graph graph;
+    const unsigned int shape[]  = {1, 2, 2, 3};
+
+    const TensorInfo constTensorInfo(4, shape, DataType::Float32, 1.0, 0, true);
+
+    ConstantLayer* constant = graph.AddLayer<ConstantLayer>("constant");
+    std::vector<float> constantValues(constTensorInfo.GetNumElements(), 4.5f);
+    ConstTensor constTensor(constTensorInfo, constantValues.data());
+    constant->m_LayerOutput = std::make_shared<ScopedTensorHandle>(constTensor);
+    constant->GetOutputSlot().SetTensorInfo(constTensorInfo);
+
+    PermuteDescriptor desc({ 0, 2, 3, 1 });
+    PermuteLayer* permuteLayer = graph.AddLayer<PermuteLayer>(desc, "permute");
+    TensorInfo infoPermuted = armnnUtils::Permuted(constTensorInfo, { 0, 2, 3, 1 });
+    permuteLayer->GetOutputSlot().SetTensorInfo(infoPermuted);
+
+    OutputLayer* output = graph.AddLayer<OutputLayer>(0, "output");
+
+    // Connect up constant -> permute -> output
+    constant->GetOutputSlot().Connect(permuteLayer->GetInputSlot(0));
+    permuteLayer->GetOutputSlot().Connect(output->GetInputSlot(0));
+
+    CHECK(CheckSequence(graph.cbegin(), graph.cend(),
+                        &IsLayerOfType<ConstantLayer>,
+                        &IsLayerOfType<PermuteLayer>,
+                        &IsLayerOfType<OutputLayer>));
+
+    armnn::Optimizer::Pass(graph, MakeOptimizations(FusePermuteIntoConstLayer()));
+
+    CHECK(CheckSequence(graph.cbegin(), graph.cend(),
+                        &IsLayerOfType<ConstantLayer>,
+                        &IsLayerOfType<OutputLayer>));
+
+    TensorShape tensorShape = constant->GetOutputSlot(0).GetTensorInfo().GetShape();
+    CHECK(tensorShape[0] == shape[0]);
+    CHECK(tensorShape[1] == shape[3]);
+    CHECK(tensorShape[2] == shape[1]);
+    CHECK(tensorShape[3] == shape[2]);
+
+}
+
+}
-- 
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