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-rw-r--r--src/armnnDeserializer/Deserializer.cpp23
-rw-r--r--src/armnnDeserializer/Deserializer.hpp1
-rw-r--r--src/armnnDeserializer/DeserializerSupport.md1
-rw-r--r--src/armnnDeserializer/test/DeserializeDivision.cpp160
4 files changed, 185 insertions, 0 deletions
diff --git a/src/armnnDeserializer/Deserializer.cpp b/src/armnnDeserializer/Deserializer.cpp
index 30f7d05c93..1ef5651032 100644
--- a/src/armnnDeserializer/Deserializer.cpp
+++ b/src/armnnDeserializer/Deserializer.cpp
@@ -191,6 +191,7 @@ m_ParserFunctions(Layer_MAX+1, &Deserializer::ParseUnsupportedLayer)
m_ParserFunctions[Layer_ConstantLayer] = &Deserializer::ParseConstant;
m_ParserFunctions[Layer_Convolution2dLayer] = &Deserializer::ParseConvolution2d;
m_ParserFunctions[Layer_DepthwiseConvolution2dLayer] = &Deserializer::ParseDepthwiseConvolution2d;
+ m_ParserFunctions[Layer_DivisionLayer] = &Deserializer::ParseDivision;
m_ParserFunctions[Layer_FullyConnectedLayer] = &Deserializer::ParseFullyConnected;
m_ParserFunctions[Layer_MultiplicationLayer] = &Deserializer::ParseMultiplication;
m_ParserFunctions[Layer_PermuteLayer] = &Deserializer::ParsePermute;
@@ -218,6 +219,8 @@ Deserializer::LayerBaseRawPtr Deserializer::GetBaseLayer(const GraphPtr& graphPt
return graphPtr->layers()->Get(layerIndex)->layer_as_Convolution2dLayer()->base();
case Layer::Layer_DepthwiseConvolution2dLayer:
return graphPtr->layers()->Get(layerIndex)->layer_as_DepthwiseConvolution2dLayer()->base();
+ case Layer::Layer_DivisionLayer:
+ return graphPtr->layers()->Get(layerIndex)->layer_as_DivisionLayer()->base();
case Layer::Layer_FullyConnectedLayer:
return graphPtr->layers()->Get(layerIndex)->layer_as_FullyConnectedLayer()->base();
case Layer::Layer_InputLayer:
@@ -932,6 +935,26 @@ void Deserializer::ParseDepthwiseConvolution2d(GraphPtr graph, unsigned int laye
RegisterOutputSlots(graph, layerIndex, layer);
}
+void Deserializer::ParseDivision(GraphPtr graph, unsigned int layerIndex)
+{
+ CHECK_LAYERS(graph, 0, layerIndex);
+ auto inputs = GetInputs(graph, layerIndex);
+ CHECK_LOCATION();
+ CHECK_VALID_SIZE(inputs.size(), 2);
+
+ auto outputs = GetOutputs(graph, layerIndex);
+ CHECK_VALID_SIZE(outputs.size(), 1);
+
+ auto layerName = GetLayerName(graph, layerIndex);
+ IConnectableLayer* layer = m_Network->AddDivisionLayer(layerName.c_str());
+
+ armnn::TensorInfo outputTensorInfo = ToTensorInfo(outputs[0]);
+ layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo);
+
+ RegisterInputSlots(graph, layerIndex, layer);
+ RegisterOutputSlots(graph, layerIndex, layer);
+}
+
void Deserializer::ParseMultiplication(GraphPtr graph, unsigned int layerIndex)
{
CHECK_LAYERS(graph, 0, layerIndex);
diff --git a/src/armnnDeserializer/Deserializer.hpp b/src/armnnDeserializer/Deserializer.hpp
index 0e0261f27b..cb0590bc5f 100644
--- a/src/armnnDeserializer/Deserializer.hpp
+++ b/src/armnnDeserializer/Deserializer.hpp
@@ -74,6 +74,7 @@ private:
void ParseConstant(GraphPtr graph, unsigned int layerIndex);
void ParseConvolution2d(GraphPtr graph, unsigned int layerIndex);
void ParseDepthwiseConvolution2d(GraphPtr graph, unsigned int layerIndex);
+ void ParseDivision(GraphPtr graph, unsigned int layerIndex);
void ParseFullyConnected(GraphPtr graph, unsigned int layerIndex);
void ParseMultiplication(GraphPtr graph, unsigned int layerIndex);
void ParsePermute(GraphPtr graph, unsigned int layerIndex);
diff --git a/src/armnnDeserializer/DeserializerSupport.md b/src/armnnDeserializer/DeserializerSupport.md
index 31a53569ad..c8c0d6c9d3 100644
--- a/src/armnnDeserializer/DeserializerSupport.md
+++ b/src/armnnDeserializer/DeserializerSupport.md
@@ -12,6 +12,7 @@ The Arm NN SDK Deserialize parser currently supports the following layers:
* Constant
* Convolution2d
* DepthwiseConvolution2d
+* Division
* FullyConnected
* Multiplication
* Permute
diff --git a/src/armnnDeserializer/test/DeserializeDivision.cpp b/src/armnnDeserializer/test/DeserializeDivision.cpp
new file mode 100644
index 0000000000..dc6f5820cf
--- /dev/null
+++ b/src/armnnDeserializer/test/DeserializeDivision.cpp
@@ -0,0 +1,160 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include <boost/test/unit_test.hpp>
+#include "ParserFlatbuffersSerializeFixture.hpp"
+#include "../Deserializer.hpp"
+
+#include <string>
+#include <iostream>
+
+BOOST_AUTO_TEST_SUITE(Deserializer)
+
+struct DivisionFixture : public ParserFlatbuffersSerializeFixture
+{
+ explicit DivisionFixture(const std::string & inputShape1,
+ const std::string & inputShape2,
+ const std::string & outputShape,
+ const std::string & dataType)
+ {
+ m_JsonString = R"(
+ {
+ inputIds: [0, 1],
+ outputIds: [3],
+ layers: [
+ {
+ layer_type: "InputLayer",
+ layer: {
+ base: {
+ layerBindingId: 0,
+ base: {
+ index: 0,
+ layerName: "InputLayer1",
+ layerType: "Input",
+ inputSlots: [{
+ index: 0,
+ connection: {sourceLayerIndex:0, outputSlotIndex:0 },
+ }],
+ outputSlots: [ {
+ index: 0,
+ tensorInfo: {
+ dimensions: )" + inputShape1 + R"(,
+ dataType: )" + dataType + R"(
+ },
+ }],
+ },}},
+ },
+ {
+ layer_type: "InputLayer",
+ layer: {
+ base: {
+ layerBindingId: 1,
+ base: {
+ index:1,
+ layerName: "InputLayer2",
+ layerType: "Input",
+ inputSlots: [{
+ index: 0,
+ connection: {sourceLayerIndex:0, outputSlotIndex:0 },
+ }],
+ outputSlots: [ {
+ index: 0,
+ tensorInfo: {
+ dimensions: )" + inputShape2 + R"(,
+ dataType: )" + dataType + R"(
+ },
+ }],
+ },}},
+ },
+ {
+ layer_type: "DivisionLayer",
+ layer : {
+ base: {
+ index:2,
+ layerName: "DivisionLayer",
+ layerType: "Division",
+ inputSlots: [
+ {
+ index: 0,
+ connection: {sourceLayerIndex:0, outputSlotIndex:0 },
+ },
+ {
+ index: 1,
+ connection: {sourceLayerIndex:1, outputSlotIndex:0 },
+ }
+ ],
+ outputSlots: [ {
+ index: 0,
+ tensorInfo: {
+ dimensions: )" + outputShape + R"(,
+ dataType: )" + dataType + R"(
+ },
+ }],
+ }},
+ },
+ {
+ layer_type: "OutputLayer",
+ layer: {
+ base:{
+ layerBindingId: 0,
+ base: {
+ index: 3,
+ layerName: "OutputLayer",
+ layerType: "Output",
+ inputSlots: [{
+ index: 0,
+ connection: {sourceLayerIndex:2, outputSlotIndex:0 },
+ }],
+ outputSlots: [ {
+ index: 0,
+ tensorInfo: {
+ dimensions: )" + outputShape + R"(,
+ dataType: )" + dataType + R"(
+ },
+ }],
+ }}},
+ }]
+ }
+ )";
+ Setup();
+ }
+};
+
+
+struct SimpleDivisionFixture : DivisionFixture
+{
+ SimpleDivisionFixture() : DivisionFixture("[ 2, 2 ]",
+ "[ 2, 2 ]",
+ "[ 2, 2 ]",
+ "QuantisedAsymm8") {}
+};
+
+struct SimpleDivisionFixture2 : DivisionFixture
+{
+ SimpleDivisionFixture2() : DivisionFixture("[ 2, 2, 1, 1 ]",
+ "[ 2, 2, 1, 1 ]",
+ "[ 2, 2, 1, 1 ]",
+ "Float32") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(DivisionQuantisedAsymm8, SimpleDivisionFixture)
+{
+ RunTest<2, armnn::DataType::QuantisedAsymm8>(
+ 0,
+ {{"InputLayer1", { 0, 5, 24, 21 }},
+ {"InputLayer2", { 4, 1, 6, 7 }}},
+ {{"OutputLayer", { 0, 5, 3, 3 }}});
+}
+
+BOOST_FIXTURE_TEST_CASE(DivisionFloat32, SimpleDivisionFixture2)
+{
+ RunTest<4, armnn::DataType::Float32>(
+ 0,
+ {{"InputLayer1", { 100, 40, 226, 9 }},
+ {"InputLayer2", { 5, 8, 1, 3 }}},
+ {{"OutputLayer", { 20, 5, 226, 3 }}});
+}
+
+BOOST_AUTO_TEST_SUITE_END()
generated by cgit v1.2.1 (git 2.23.0) at 2024-06-01 02:24:43 +0000