IVGCVSW-2581 Create Deserializer
* Add deserialize parser for input, output and add layers
* Add Unit Tests for simple network
Change-Id: Ia0e2a234896bbe401ed0da5f18c065cb5df51bfb
Signed-off-by: Kevin May <kevin.may@arm.com>
Signed-off-by: Saoirse Stewart <saoirse.stewart@arm.com>
diff --git a/src/armnnDeserializeParser/test/DeserializeAdd.cpp b/src/armnnDeserializeParser/test/DeserializeAdd.cpp
new file mode 100644
index 0000000..03d50e3
--- /dev/null
+++ b/src/armnnDeserializeParser/test/DeserializeAdd.cpp
@@ -0,0 +1,161 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include <boost/test/unit_test.hpp>
+#include "ParserFlatbuffersSerializeFixture.hpp"
+#include "../DeserializeParser.hpp"
+
+#include <string>
+#include <iostream>
+
+BOOST_AUTO_TEST_SUITE(DeserializeParser)
+
+struct AddFixture : public ParserFlatbuffersSerializeFixture
+{
+ explicit AddFixture(const std::string & inputShape1,
+ const std::string & inputShape2,
+ const std::string & outputShape,
+ const std::string & dataType,
+ const std::string & activation="NONE")
+ {
+ 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: "AdditionLayer",
+ layer : {
+ base: {
+ index:2,
+ layerName: "AdditionLayer",
+ layerType: "Addition",
+ 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: 3,
+ 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 SimpleAddFixture : AddFixture
+{
+ SimpleAddFixture() : AddFixture("[ 2, 2 ]",
+ "[ 2, 2 ]",
+ "[ 2, 2 ]",
+ "QuantisedAsymm8") {}
+};
+
+struct SimpleAddFixture2 : AddFixture
+{
+ SimpleAddFixture2() : AddFixture("[ 2, 2, 1, 1 ]",
+ "[ 2, 2, 1, 1 ]",
+ "[ 2, 2, 1, 1 ]",
+ "Float32") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(AddQuantisedAsymm8, SimpleAddFixture)
+{
+ RunTest<2, armnn::DataType::QuantisedAsymm8>(
+ 0,
+ {{"InputLayer1", { 0, 1, 2, 3 }},
+ {"InputLayer2", { 4, 5, 6, 7 }}},
+ {{"OutputLayer", { 4, 6, 8, 10 }}});
+}
+
+BOOST_FIXTURE_TEST_CASE(AddFloat32, SimpleAddFixture2)
+{
+ RunTest<4, armnn::DataType::Float32>(
+ 0,
+ {{"InputLayer1", { 111, 85, 226, 3 }},
+ {"InputLayer2", { 5, 8, 10, 12 }}},
+ {{"OutputLayer", { 116, 93, 236, 15 }}});
+}
+
+BOOST_AUTO_TEST_SUITE_END()