Release 18.05

1 files changed, 51 insertions, 0 deletions

diff --git a/src/armnn/layers/FakeQuantizationLayer.cpp b/src/armnn/layers/FakeQuantizationLayer.cpp
new file mode 100644
index 0000000000..24b53b2e37
--- /dev/null
+++ b/src/armnn/layers/FakeQuantizationLayer.cpp
@@ -0,0 +1,51 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+#include "FakeQuantizationLayer.hpp"
+
+#include "LayerCloneBase.hpp"
+
+#include <armnn/TypesUtils.hpp>
+#include <backends/WorkloadData.hpp>
+#include <backends/WorkloadFactory.hpp>
+
+namespace armnn
+{
+
+FakeQuantizationLayer::FakeQuantizationLayer(const FakeQuantizationDescriptor& param, const char* name)
+: LayerWithParameters(1, 1, LayerType::FakeQuantization, param, name)
+{
+}
+
+std::unique_ptr<IWorkload> FakeQuantizationLayer::CreateWorkload(const Graph& graph,
+                                                                const IWorkloadFactory& factory) const
+{
+    FakeQuantizationQueueDescriptor descriptor;
+    return factory.CreateFakeQuantization(descriptor, PrepInfoAndDesc(descriptor, graph) );
+}
+
+FakeQuantizationLayer* FakeQuantizationLayer::Clone(Graph& graph) const
+{
+    return CloneBase<FakeQuantizationLayer>(graph, m_Param, GetName());
+}
+
+void FakeQuantizationLayer::ValidateTensorShapesFromInputs()
+{
+    ConditionalThrow<LayerValidationException>(GetInputSlot(0).GetConnection() != nullptr,
+                     "FakeQuantizationLayer: InputSlot must be connected to an OutputSlot");
+    ConditionalThrow<LayerValidationException>(GetInputSlot(0).GetConnection()->IsTensorInfoSet(),
+                     "FakeQuantizationLayer: TensorInfo must be set on connected OutputSlot.");
+
+
+    IOutputSlot* input = GetInputSlot(0).GetConnection();
+
+    // input and output shapes are the same
+    TensorShape const& outShape = input->GetTensorInfo().GetShape();
+    ConditionalThrowIfNotEqual<LayerValidationException>(
+        "FakeQuantizationLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
+        GetOutputSlot(0).GetTensorInfo().GetShape(),
+        outShape);
+}
+
+} // namespace armnn