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authorNattapat Chaimanowong <nattapat.chaimanowong@arm.com>2018-12-03 16:06:49 +0000
committerNattapat Chaimanowong <nattapat.chaimanowong@arm.com>2018-12-03 16:06:49 +0000
commita9a1cf117072b8aa81e27bab4d1d3e356d8ea51d (patch)
treed8f6c92615a8f3821d732bb3ae229cd028f58c95 /src/armnn
parentde7055840ad27de2f60e80bf6e264705db4c0d19 (diff)
downloadarmnn-a9a1cf117072b8aa81e27bab4d1d3e356d8ea51d.tar.gz
IVGCVSW-2315 Add DebugLayer and no-op factory method
Change-Id: I5455b720565248ff94278e76887d63f8434a7b58
Diffstat (limited to 'src/armnn')
-rw-r--r--src/armnn/InternalTypes.cpp1
-rw-r--r--src/armnn/InternalTypes.hpp1
-rw-r--r--src/armnn/LayerSupport.cpp9
-rw-r--r--src/armnn/LayersFwd.hpp2
-rw-r--r--src/armnn/layers/DebugLayer.cpp46
-rw-r--r--src/armnn/layers/DebugLayer.hpp27
6 files changed, 86 insertions, 0 deletions
diff --git a/src/armnn/InternalTypes.cpp b/src/armnn/InternalTypes.cpp
index 0b6c777546..8a4f892583 100644
--- a/src/armnn/InternalTypes.cpp
+++ b/src/armnn/InternalTypes.cpp
@@ -22,6 +22,7 @@ char const* GetLayerTypeAsCString(LayerType type)
case LayerType::ConvertFp16ToFp32: return "ConvertFp16ToFp32";
case LayerType::ConvertFp32ToFp16: return "ConvertFp32ToFp16";
case LayerType::Convolution2d: return "Convolution2d";
+ case LayerType::Debug: return "Debug";
case LayerType::DepthwiseConvolution2d: return "DepthwiseConvolution2d";
case LayerType::Division: return "Division";
case LayerType::FakeQuantization: return "FakeQuantization";
diff --git a/src/armnn/InternalTypes.hpp b/src/armnn/InternalTypes.hpp
index df8bb737e7..3d4f043051 100644
--- a/src/armnn/InternalTypes.hpp
+++ b/src/armnn/InternalTypes.hpp
@@ -22,6 +22,7 @@ enum class LayerType
ConvertFp16ToFp32,
ConvertFp32ToFp16,
Convolution2d,
+ Debug,
DepthwiseConvolution2d,
Division,
FakeQuantization,
diff --git a/src/armnn/LayerSupport.cpp b/src/armnn/LayerSupport.cpp
index bbc9e3bd80..bdcd58a063 100644
--- a/src/armnn/LayerSupport.cpp
+++ b/src/armnn/LayerSupport.cpp
@@ -167,6 +167,15 @@ bool IsConvolution2dSupported(const BackendId& backend,
FORWARD_LAYER_SUPPORT_FUNC(backend, IsConvolution2dSupported, input, output, descriptor, weights, biases);
}
+bool IsDebugSupported(const BackendId& backend,
+ const TensorInfo& input,
+ const TensorInfo& output,
+ char* reasonIfUnsupported,
+ size_t reasonIfUnsupportedMaxLength)
+{
+ FORWARD_LAYER_SUPPORT_FUNC(backend, IsDebugSupported, input, output);
+}
+
bool IsDivisionSupported(const BackendId& backend,
const TensorInfo& input0,
const TensorInfo& input1,
diff --git a/src/armnn/LayersFwd.hpp b/src/armnn/LayersFwd.hpp
index 88a636a0b8..ebfa5db6b1 100644
--- a/src/armnn/LayersFwd.hpp
+++ b/src/armnn/LayersFwd.hpp
@@ -14,6 +14,7 @@
#include "layers/ConvertFp16ToFp32Layer.hpp"
#include "layers/ConvertFp32ToFp16Layer.hpp"
#include "layers/Convolution2dLayer.hpp"
+#include "layers/DebugLayer.hpp"
#include "layers/DepthwiseConvolution2dLayer.hpp"
#include "layers/DivisionLayer.hpp"
#include "layers/FakeQuantizationLayer.hpp"
@@ -76,6 +77,7 @@ DECLARE_LAYER(Constant)
DECLARE_LAYER(ConvertFp16ToFp32)
DECLARE_LAYER(ConvertFp32ToFp16)
DECLARE_LAYER(Convolution2d)
+DECLARE_LAYER(Debug)
DECLARE_LAYER(DepthwiseConvolution2d)
DECLARE_LAYER(Division)
DECLARE_LAYER(FakeQuantization)
diff --git a/src/armnn/layers/DebugLayer.cpp b/src/armnn/layers/DebugLayer.cpp
new file mode 100644
index 0000000000..c407643742
--- /dev/null
+++ b/src/armnn/layers/DebugLayer.cpp
@@ -0,0 +1,46 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#include "DebugLayer.hpp"
+
+#include "LayerCloneBase.hpp"
+
+#include <backendsCommon/WorkloadData.hpp>
+#include <backendsCommon/WorkloadFactory.hpp>
+
+namespace armnn
+{
+
+DebugLayer::DebugLayer(const char* name) : Layer(1, 1, LayerType::Debug, name)
+{}
+
+std::unique_ptr<IWorkload> DebugLayer::CreateWorkload(const Graph& graph,
+ const IWorkloadFactory& factory) const
+{
+ DebugQueueDescriptor descriptor;
+
+ return factory.CreateDebug(descriptor, PrepInfoAndDesc(descriptor, graph));
+}
+
+DebugLayer* DebugLayer::Clone(Graph& graph) const
+{
+ return CloneBase<DebugLayer>(graph, GetName());
+}
+
+void DebugLayer::ValidateTensorShapesFromInputs()
+{
+ VerifyLayerConnections(1, CHECK_LOCATION());
+
+ std::vector<TensorShape> inferredShapes = InferOutputShapes({
+ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
+
+ BOOST_ASSERT(inferredShapes.size() == 1);
+
+ ConditionalThrowIfNotEqual<LayerValidationException>(
+ "DebugLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
+ GetOutputSlot(0).GetTensorInfo().GetShape(),
+ inferredShapes[0]);
+}
+
+} // namespace armnn
diff --git a/src/armnn/layers/DebugLayer.hpp b/src/armnn/layers/DebugLayer.hpp
new file mode 100644
index 0000000000..39ef9c7ae0
--- /dev/null
+++ b/src/armnn/layers/DebugLayer.hpp
@@ -0,0 +1,27 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#pragma once
+
+#include <Layer.hpp>
+
+namespace armnn
+{
+
+class DebugLayer : public Layer
+{
+public:
+ virtual std::unique_ptr<IWorkload> CreateWorkload(const Graph& graph,
+ const IWorkloadFactory& factory) const override;
+
+ DebugLayer* Clone(Graph& graph) const override;
+
+ void ValidateTensorShapesFromInputs() override;
+
+protected:
+ DebugLayer(const char* name);
+ ~DebugLayer() = default;
+};
+
+} // namespace armnn