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-rw-r--r--src/backends/backendsCommon/test/layerTests/GreaterTestImpl.cpp314
1 files changed, 0 insertions, 314 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/GreaterTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/GreaterTestImpl.cpp
deleted file mode 100644
index 271bc235a9..0000000000
--- a/src/backends/backendsCommon/test/layerTests/GreaterTestImpl.cpp
+++ /dev/null
@@ -1,314 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "GreaterTestImpl.hpp"
-
-#include "ComparisonTestImpl.hpp"
-
-#include <Half.hpp>
-
-LayerTestResult<uint8_t, 4> GreaterSimpleTest(armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- const unsigned int width = 2u;
- const unsigned int height = 2u;
- const unsigned int channelCount = 2u;
- const unsigned int batchSize = 2u;
-
- unsigned int shape[] = { batchSize, channelCount, height, width };
-
- std::vector<float> input0 =
- {
- 1.f, 1.f, 1.f, 1.f, 5.f, 5.f, 5.f, 5.f,
- 3.f, 3.f, 3.f, 3.f, 4.f, 4.f, 4.f, 4.f
- };
-
- std::vector<float> input1 =
- {
- 1.f, 1.f, 1.f, 1.f, 3.f, 3.f, 3.f, 3.f,
- 5.f, 5.f, 5.f, 5.f, 4.f, 4.f, 4.f, 4.f
- };
-
- std::vector<uint8_t> output =
- {
- 0, 0, 0, 0, 1, 1, 1, 1,
- 0, 0, 0, 0, 0, 0, 0, 0
- };
-
- return ComparisonTestImpl<4, armnn::DataType::Float32>(
- workloadFactory,
- memoryManager,
- armnn::ComparisonDescriptor(armnn::ComparisonOperation::Greater),
- shape,
- input0,
- shape,
- input1,
- shape,
- output);
-}
-
-LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementTest(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- unsigned int shape0[] = { 1, 2, 2, 2 };
- unsigned int shape1[] = { 1, 1, 1, 1 };
-
- std::vector<float> input0 = { 1, 2, 3, 4, 5, 6, 7, 8};
- std::vector<float> input1 = { 1 };
-
- std::vector<uint8_t> output = { 0, 1, 1, 1, 1, 1, 1, 1};
-
- return ComparisonTestImpl<4, armnn::DataType::Float32>(
- workloadFactory,
- memoryManager,
- armnn::ComparisonDescriptor(armnn::ComparisonOperation::Greater),
- shape0,
- input0,
- shape1,
- input1,
- shape0,
- output);
-}
-
-LayerTestResult<uint8_t, 4> GreaterBroadcast1DVectorTest(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- const unsigned int shape0[] = { 1, 2, 2, 3 };
- const unsigned int shape1[] = { 1, 1, 1, 3 };
-
- std::vector<float> input0 =
- {
- 1.0f, 2.9f, 2.1f, 4.0f, 5.0f, 6.0f,
- 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f
- };
-
- std::vector<float> input1 = { 1.f, 3.f, 2.f };
-
- std::vector<uint8_t> output =
- {
- 0, 0, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1
- };
-
- return ComparisonTestImpl<4, armnn::DataType::Float32>(
- workloadFactory,
- memoryManager,
- armnn::ComparisonDescriptor(armnn::ComparisonOperation::Greater),
- shape0,
- input0,
- shape1,
- input1,
- shape0,
- output);
-}
-
-LayerTestResult<uint8_t, 4> GreaterFloat16Test(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- using namespace half_float::literal;
-
- const unsigned int width = 2u;
- const unsigned int height = 2u;
- const unsigned int channelCount = 2u;
- const unsigned int batchSize = 2u;
-
- unsigned int shape[] = { batchSize, channelCount, height, width };
-
- std::vector<armnn::Half> input0 =
- {
- 1._h, 1._h, 1._h, 1._h, 5._h, 5._h, 5._h, 5._h,
- 3._h, 3._h, 3._h, 3._h, 4._h, 4._h, 4._h, 4._h
- };
-
- std::vector<armnn::Half> input1 =
- {
- 1._h, 1._h, 1._h, 1._h, 3._h, 3._h, 3._h, 3._h,
- 5._h, 5._h, 5._h, 5._h, 4._h, 4._h, 4._h, 4._h
- };
-
- std::vector<uint8_t> output =
- {
- 0, 0, 0, 0, 1, 1, 1, 1,
- 0, 0, 0, 0, 0, 0, 0, 0
- };
-
- return ComparisonTestImpl<4,armnn::DataType::Float16>(
- workloadFactory,
- memoryManager,
- armnn::ComparisonDescriptor(armnn::ComparisonOperation::Greater),
- shape,
- input0,
- shape,
- input1,
- shape,
- output);
-}
-
-LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementFloat16Test(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- using namespace half_float::literal;
-
- unsigned int shape0[] = { 1, 2, 2, 2 };
- unsigned int shape1[] = { 1, 1, 1, 1 };
-
- std::vector<armnn::Half> input0 = { 1._h, 2._h, 3._h, 4._h, 5._h, 6._h, 7._h, 8._h };
- std::vector<armnn::Half> input1 = { 1._h };
-
- std::vector<uint8_t> output = { 0, 1, 1, 1, 1, 1, 1, 1};
-
- return ComparisonTestImpl<4, armnn::DataType::Float16>(
- workloadFactory,
- memoryManager,
- armnn::ComparisonDescriptor(armnn::ComparisonOperation::Greater),
- shape0,
- input0,
- shape1,
- input1,
- shape0,
- output);
-}
-
-LayerTestResult<uint8_t, 4> GreaterBroadcast1DVectorFloat16Test(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- using namespace half_float::literal;
-
- const unsigned int shape0[] = { 1, 2, 2, 3 };
- const unsigned int shape1[] = { 1, 1, 1, 3 };
-
- std::vector<armnn::Half> input0 =
- {
- 1.0_h, 2.9_h, 2.1_h, 4.0_h, 5.0_h, 6.0_h,
- 7.0_h, 8.0_h, 9.0_h, 10.0_h, 11.0_h, 12.0_h
- };
-
- std::vector<armnn::Half> input1 = { 1._h, 3._h, 2._h };
-
- std::vector<uint8_t> output =
- {
- 0, 0, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1
- };
-
- return ComparisonTestImpl<4, armnn::DataType::Float16>(
- workloadFactory,
- memoryManager,
- armnn::ComparisonDescriptor(armnn::ComparisonOperation::Greater),
- shape0,
- input0,
- shape1,
- input1,
- shape0,
- output);
-}
-
-LayerTestResult<uint8_t, 4> GreaterUint8Test(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- unsigned int shape[] = { 2, 2, 2, 2 };
-
- // See dequantized values to the right.
- std::vector<uint8_t> input0 =
- {
- 1, 1, 1, 1, 6, 6, 6, 6,
- 3, 3, 3, 3, 5, 5, 5, 5
- };
-
- std::vector<uint8_t> input1 =
- {
- 2, 2, 2, 2, 6, 6, 6, 6,
- 2, 2, 2, 2, 5, 5, 5, 5
- };
-
- std::vector<uint8_t> output =
- {
- 0, 0, 0, 0, 0, 0, 0, 0,
- 1, 1, 1, 1, 0, 0, 0, 0
- };
-
- return ComparisonTestImpl<4, armnn::DataType::QuantisedAsymm8>(
- workloadFactory,
- memoryManager,
- armnn::ComparisonDescriptor(armnn::ComparisonOperation::Greater),
- shape,
- input0,
- shape,
- input1,
- shape,
- output);
-}
-
-LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementUint8Test(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- const unsigned int shape0[] = { 1, 2, 2, 3 };
- const unsigned int shape1[] = { 1, 1, 1, 1 };
-
- std::vector<uint8_t> input0 =
- {
- 1, 2, 3, 4, 5, 6,
- 7, 8, 9, 10, 11, 12
- };
-
- std::vector<uint8_t> input1 = { 1 };
-
- std::vector<uint8_t> output =
- {
- 0, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1
- };
-
- return ComparisonTestImpl<4, armnn::DataType::QuantisedAsymm8>(
- workloadFactory,
- memoryManager,
- armnn::ComparisonDescriptor(armnn::ComparisonOperation::Greater),
- shape0,
- input0,
- shape1,
- input1,
- shape0,
- output);
-}
-
-LayerTestResult<uint8_t, 4> GreaterBroadcast1DVectorUint8Test(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- const unsigned int shape0[] = { 1, 2, 2, 3 };
- const unsigned int shape1[] = { 1, 1, 1, 3 };
-
- std::vector<uint8_t> input0 =
- {
- 1, 2, 3, 4, 5, 6,
- 7, 8, 9, 10, 11, 12
- };
-
- std::vector<uint8_t> input1 = { 1, 1, 3 };
-
- std::vector<uint8_t> output =
- {
- 0, 1, 0, 1, 1, 1,
- 1, 1, 1, 1, 1, 1
- };
-
- return ComparisonTestImpl<4, armnn::DataType::QuantisedAsymm8>(
- workloadFactory,
- memoryManager,
- armnn::ComparisonDescriptor(armnn::ComparisonOperation::Greater),
- shape0,
- input0,
- shape1,
- input1,
- shape0,
- output);
-}
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