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authorsurmeh01 <surabhi.mehta@arm.com>2018-05-18 16:31:43 +0100
committertelsoa01 <telmo.soares@arm.com>2018-05-23 13:09:07 +0100
commit3537c2ca7ebf31c1673b9ec2bb0c17b0406bbae0 (patch)
tree5950603ad78ec3fe56fb31ddc7f4d52a19f5bc60 /src/armnn/layers/SoftmaxLayer.cpp
parentbceff2fb3fc68bb0aa88b886900c34b77340c826 (diff)
downloadarmnn-3537c2ca7ebf31c1673b9ec2bb0c17b0406bbae0.tar.gz
Release 18.05
Diffstat (limited to 'src/armnn/layers/SoftmaxLayer.cpp')
-rw-r--r--src/armnn/layers/SoftmaxLayer.cpp44
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diff --git a/src/armnn/layers/SoftmaxLayer.cpp b/src/armnn/layers/SoftmaxLayer.cpp
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+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+#include "SoftmaxLayer.hpp"
+
+#include "LayerCloneBase.hpp"
+
+#include <armnn/TypesUtils.hpp>
+#include <backends/WorkloadData.hpp>
+#include <backends/WorkloadFactory.hpp>
+
+namespace armnn
+{
+
+SoftmaxLayer::SoftmaxLayer(const SoftmaxDescriptor &param, const char* name)
+ : LayerWithParameters(1, 1, LayerType::Softmax, param, name)
+{
+}
+
+std::unique_ptr<IWorkload> SoftmaxLayer::CreateWorkload(const Graph& graph, const IWorkloadFactory& factory) const
+{
+ SoftmaxQueueDescriptor descriptor;
+ return factory.CreateSoftmax(descriptor, PrepInfoAndDesc(descriptor, graph));
+}
+
+SoftmaxLayer* SoftmaxLayer::Clone(Graph& graph) const
+{
+ return CloneBase<SoftmaxLayer>(graph, m_Param, GetName());
+}
+
+void SoftmaxLayer::ValidateTensorShapesFromInputs()
+{
+ ConditionalThrow<LayerValidationException>(GetInputSlot(0).GetConnection() != nullptr,
+ "SoftmaxLayer: Input slot must be connected.");
+
+ const TensorShape& outShape = GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape();
+ ConditionalThrowIfNotEqual<LayerValidationException>(
+ "SoftmaxLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
+ GetOutputSlot(0).GetTensorInfo().GetShape(),
+ outShape);
+}
+
+} // namespace armnn