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authorKeith Davis <keith.davis@arm.com>2020-06-04 16:34:23 +0100
committerKeithARM <keith.davis@arm.com>2020-06-17 14:54:08 +0000
commit300ad5695e2a577d2a9292b3cd6d182aae3298a3 (patch)
tree3fb34c3dc50b62630538592e6964fc263d078921 /src/armnnDeserializer
parent6398a98ac273931cc0b3ab33222d255d1edf48b0 (diff)
downloadarmnn-300ad5695e2a577d2a9292b3cd6d182aae3298a3.tar.gz
IVGCVSW-4908 Add Serializer/Deserializer Support for FILL operator
Signed-off-by: Keith Davis <keith.davis@arm.com> Change-Id: Icae26505d0e378ee5ffb3e92b35d78d48b369d2e
Diffstat (limited to 'src/armnnDeserializer')
-rw-r--r--src/armnnDeserializer/Deserializer.cpp24
-rw-r--r--src/armnnDeserializer/Deserializer.hpp1
-rw-r--r--src/armnnDeserializer/DeserializerSupport.md1
-rw-r--r--src/armnnDeserializer/test/DeserializeFill.cpp134
4 files changed, 160 insertions, 0 deletions
diff --git a/src/armnnDeserializer/Deserializer.cpp b/src/armnnDeserializer/Deserializer.cpp
index bea34e16e7..3b69ed17b8 100644
--- a/src/armnnDeserializer/Deserializer.cpp
+++ b/src/armnnDeserializer/Deserializer.cpp
@@ -204,6 +204,7 @@ m_ParserFunctions(Layer_MAX+1, &Deserializer::ParseUnsupportedLayer)
m_ParserFunctions[Layer_ElementwiseUnaryLayer] = &Deserializer::ParseElementwiseUnary;
m_ParserFunctions[Layer_EqualLayer] = &Deserializer::ParseEqual;
m_ParserFunctions[Layer_FullyConnectedLayer] = &Deserializer::ParseFullyConnected;
+ m_ParserFunctions[Layer_FillLayer] = &Deserializer::ParseFill;
m_ParserFunctions[Layer_FloorLayer] = &Deserializer::ParseFloor;
m_ParserFunctions[Layer_GatherLayer] = &Deserializer::ParseGather;
m_ParserFunctions[Layer_GreaterLayer] = &Deserializer::ParseGreater;
@@ -283,6 +284,8 @@ Deserializer::LayerBaseRawPtr Deserializer::GetBaseLayer(const GraphPtr& graphPt
return graphPtr->layers()->Get(layerIndex)->layer_as_EqualLayer()->base();
case Layer::Layer_FullyConnectedLayer:
return graphPtr->layers()->Get(layerIndex)->layer_as_FullyConnectedLayer()->base();
+ case Layer::Layer_FillLayer:
+ return graphPtr->layers()->Get(layerIndex)->layer_as_FillLayer()->base();
case Layer::Layer_FloorLayer:
return graphPtr->layers()->Get(layerIndex)->layer_as_FloorLayer()->base();
case Layer::Layer_GatherLayer:
@@ -1431,6 +1434,27 @@ void Deserializer::ParseEqual(GraphPtr graph, unsigned int layerIndex)
RegisterOutputSlots(graph, layerIndex, layer);
}
+void Deserializer::ParseFill(GraphPtr graph, unsigned int layerIndex)
+{
+ CHECK_LAYERS(graph, 0, layerIndex);
+ auto inputs = GetInputs(graph, layerIndex);
+ CHECK_LOCATION();
+ CHECK_VALID_SIZE(inputs.size(), 1);
+
+ auto outputs = GetOutputs(graph, layerIndex);
+ CHECK_VALID_SIZE(outputs.size(), 1);
+
+ auto layerName = GetLayerName(graph, layerIndex);
+ armnn::FillDescriptor descriptor(1.0f);
+ IConnectableLayer* layer = m_Network->AddFillLayer(descriptor, layerName.c_str());
+
+ armnn::TensorInfo outputTensorInfo = ToTensorInfo(outputs[0]);
+ layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo);
+
+ RegisterInputSlots(graph, layerIndex, layer);
+ RegisterOutputSlots(graph, layerIndex, layer);
+}
+
void Deserializer::ParseGreater(GraphPtr graph, unsigned int layerIndex)
{
CHECK_LAYERS(graph, 0, layerIndex);
diff --git a/src/armnnDeserializer/Deserializer.hpp b/src/armnnDeserializer/Deserializer.hpp
index d6ceced7c6..69868c210a 100644
--- a/src/armnnDeserializer/Deserializer.hpp
+++ b/src/armnnDeserializer/Deserializer.hpp
@@ -96,6 +96,7 @@ private:
void ParseDivision(GraphPtr graph, unsigned int layerIndex);
void ParseElementwiseUnary(GraphPtr graph, unsigned int layerIndex);
void ParseEqual(GraphPtr graph, unsigned int layerIndex);
+ void ParseFill(GraphPtr graph, unsigned int layerIndex);
void ParseFloor(GraphPtr graph, unsigned int layerIndex);
void ParseFullyConnected(GraphPtr graph, unsigned int layerIndex);
void ParseGather(GraphPtr graph, unsigned int layerIndex);
diff --git a/src/armnnDeserializer/DeserializerSupport.md b/src/armnnDeserializer/DeserializerSupport.md
index 4e83cc6733..b4982ec78a 100644
--- a/src/armnnDeserializer/DeserializerSupport.md
+++ b/src/armnnDeserializer/DeserializerSupport.md
@@ -22,6 +22,7 @@ The Arm NN SDK Deserialize parser currently supports the following layers:
* DetectionPostProcess
* Division
* ElementwiseUnary
+* Fill
* Floor
* FullyConnected
* Gather
diff --git a/src/armnnDeserializer/test/DeserializeFill.cpp b/src/armnnDeserializer/test/DeserializeFill.cpp
new file mode 100644
index 0000000000..632734fa9e
--- /dev/null
+++ b/src/armnnDeserializer/test/DeserializeFill.cpp
@@ -0,0 +1,134 @@
+//
+// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include <boost/test/unit_test.hpp>
+#include "ParserFlatbuffersSerializeFixture.hpp"
+#include "../Deserializer.hpp"
+
+#include <string>
+
+BOOST_AUTO_TEST_SUITE(Deserializer)
+
+struct FillFixture : public ParserFlatbuffersSerializeFixture
+{
+ explicit FillFixture()
+ {
+ m_JsonString = R"(
+ {
+ layers: [
+ {
+ layer_type: "InputLayer",
+ layer: {
+ base: {
+ base: {
+ layerName: "InputLayer",
+ layerType: "Input",
+ inputSlots: [
+
+ ],
+ outputSlots: [
+ {
+ tensorInfo: {
+ dimensions: [
+ 4
+ ],
+ dataType: "Float32",
+ quantizationScale: 0.0
+ }
+ }
+ ]
+ }
+ }
+ }
+ },
+ {
+ layer_type: "FillLayer",
+ layer: {
+ base: {
+ index: 1,
+ layerName: "FillLayer",
+ layerType: "Fill",
+ inputSlots: [
+ {
+ connection: {
+ sourceLayerIndex: 0,
+ outputSlotIndex: 0
+ }
+ }
+ ],
+ outputSlots: [
+ {
+ tensorInfo: {
+ dimensions: [
+ 1,
+ 3,
+ 3,
+ 1
+ ],
+ dataType: "Float32",
+ quantizationScale: 0.0
+ }
+ }
+ ]
+ },
+ descriptor: {
+ value: 1.0
+ }
+ }
+ },
+ {
+ layer_type: "OutputLayer",
+ layer: {
+ base: {
+ base: {
+ index: 2,
+ layerName: "OutputLayer",
+ layerType: "Output",
+ inputSlots: [
+ {
+ connection: {
+ sourceLayerIndex: 1,
+ outputSlotIndex: 0
+ }
+ }
+ ],
+ outputSlots: [
+
+ ]
+ }
+ }
+ }
+ }
+ ],
+ inputIds: [
+ 0
+ ],
+ outputIds: [
+ 0
+ ],
+ featureVersions: {
+ bindingIdsScheme: 1
+ }
+ }
+ )";
+ Setup();
+ }
+};
+
+
+struct SimpleFillFixture : FillFixture
+{
+ SimpleFillFixture() : FillFixture() {}
+};
+
+BOOST_FIXTURE_TEST_CASE(Fill, SimpleFillFixture)
+{
+ RunTest<4, armnn::DataType::Float32>(
+ 0,
+ {{"InputLayer", { 1, 3, 3, 1 }}},
+ {{"OutputLayer",{ 1, 1, 1, 1, 1, 1, 1, 1, 1}}});
+}
+
+BOOST_AUTO_TEST_SUITE_END()