IVGCVSW-7400 POW IVGCVSW-7278 SQUARED_DIFFERENCE.
* Added 2 new operators as ElementWiseBinary ops
* Ref End to End and unit tests
* Serialize and Deserialize tests
* Delegate and Opaque Delegate tests
* TfLite Parser tests
Signed-off-by: John Mcloughlin <john.mcloughlin@arm.com>
Change-Id: I537158127f602f0c41ca0402aa31655cd3bd4281
diff --git a/src/armnnDeserializer/test/DeserializeElementWiseBinary.cpp b/src/armnnDeserializer/test/DeserializeElementWiseBinary.cpp
new file mode 100644
index 0000000..39aed05
--- /dev/null
+++ b/src/armnnDeserializer/test/DeserializeElementWiseBinary.cpp
@@ -0,0 +1,163 @@
+//
+// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ParserFlatbuffersSerializeFixture.hpp"
+#include <armnnDeserializer/IDeserializer.hpp>
+
+#include <string>
+
+TEST_SUITE("ElementWiseBinary_Deserializer")
+{
+ struct ElementwiseBinaryFixture : public ParserFlatbuffersSerializeFixture {
+ explicit ElementwiseBinaryFixture(const std::string & inputShape1,
+ const std::string & inputShape2,
+ const std::string & outputShape,
+ const std::string & dataType,
+ const std::string &binaryOperation) {
+ 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: "ElementwiseBinaryLayer",
+ layer: {
+ base: {
+ index: 2,
+ layerName: "ElementwiseBinaryLayer",
+ layerType: "ElementwiseBinary",
+ 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"(
+ }
+ }]
+ },
+ descriptor: {
+ operation: )" + binaryOperation + 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 SimplePowerFixture : ElementwiseBinaryFixture
+{
+ SimplePowerFixture() : ElementwiseBinaryFixture("[ 2, 2 ]",
+ "[ 2, 2 ]",
+ "[ 2, 2 ]",
+ "QuantisedAsymm8",
+ "Power") {}
+};
+
+TEST_CASE_FIXTURE(SimplePowerFixture, "PowerQuantisedAsymm8")
+{
+ RunTest<2, armnn::DataType::QAsymmU8>(
+ 0,
+ {{"InputLayer1", { 0, 1, 2, 3 }},
+ {"InputLayer2", { 4, 5, 3, 2 }}},
+ {{"OutputLayer", { 0, 1, 8, 9 }}});
+}
+
+struct SimpleSquaredDifferenceFixture : ElementwiseBinaryFixture
+{
+ SimpleSquaredDifferenceFixture() : ElementwiseBinaryFixture("[ 2, 2 ]",
+ "[ 2, 2 ]",
+ "[ 2, 2 ]",
+ "QuantisedAsymm8",
+ "SqDiff") {}
+};
+
+TEST_CASE_FIXTURE(SimpleSquaredDifferenceFixture, "SquaredDifferenceQuantisedAsymm8")
+{
+ RunTest<2, armnn::DataType::QAsymmU8>(
+ 0,
+ {{"InputLayer1", { 5, 1, 7, 9 }},
+ {"InputLayer2", { 4, 5, 2, 1 }}},
+ {{"OutputLayer", { 1, 16, 25, 64 }}});
+}
+
+}
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