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-rw-r--r--src/armnnDeserializer/test/DeserializeEqual.cpp148
1 files changed, 0 insertions, 148 deletions
diff --git a/src/armnnDeserializer/test/DeserializeEqual.cpp b/src/armnnDeserializer/test/DeserializeEqual.cpp
deleted file mode 100644
index 7d8213cd95..0000000000
--- a/src/armnnDeserializer/test/DeserializeEqual.cpp
+++ /dev/null
@@ -1,148 +0,0 @@
-//
-// 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 EqualFixture : public ParserFlatbuffersSerializeFixture
-{
- explicit EqualFixture(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: "EqualLayer",
- layer: {
- base: {
- index:2,
- layerName: "EqualLayer",
- layerType: "Equal",
- inputSlots: [{
- index: 0,
- connection: {sourceLayerIndex:0, outputSlotIndex:0 },
- },
- {
- index: 1,
- connection: {sourceLayerIndex:1, outputSlotIndex:0 },
- }],
- outputSlots: [{
- index: 0,
- tensorInfo: {
- dimensions: )" + outputShape + R"(,
- dataType: Boolean
- },
- }],
- }
- },
- },
- {
- 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: Boolean
- },
- }],
- }
- }
- },
- }
- ]
- }
- )";
- Setup();
- }
-};
-
-struct SimpleEqualFixture : EqualFixture
-{
- SimpleEqualFixture() : EqualFixture("[ 2, 2, 2, 1 ]",
- "[ 2, 2, 2, 1 ]",
- "[ 2, 2, 2, 1 ]",
- "QuantisedAsymm8") {}
-};
-
-BOOST_FIXTURE_TEST_CASE(EqualQuantisedAsymm8, SimpleEqualFixture)
-{
- RunTest<4, armnn::DataType::QuantisedAsymm8, armnn::DataType::Boolean>(
- 0,
- {{"InputLayer1", { 0, 1, 2, 3, 4, 5, 6, 7 }},
- {"InputLayer2", { 0, 0, 0, 3, 0, 0, 6, 7 }}},
- {{"OutputLayer", { 1, 0, 0, 1, 0, 0, 1, 1 }}});
-}
-
-BOOST_AUTO_TEST_SUITE_END()