aboutsummaryrefslogtreecommitdiff
path: root/src/backends/backendsCommon/test/layerTests/EqualTestImpl.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/EqualTestImpl.cpp')
-rw-r--r--src/backends/backendsCommon/test/layerTests/EqualTestImpl.cpp265
1 files changed, 0 insertions, 265 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/EqualTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/EqualTestImpl.cpp
deleted file mode 100644
index a3d2b2796f..0000000000
--- a/src/backends/backendsCommon/test/layerTests/EqualTestImpl.cpp
+++ /dev/null
@@ -1,265 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "EqualTestImpl.hpp"
-
-#include "ComparisonTestImpl.hpp"
-
-#include <Half.hpp>
-
-LayerTestResult<uint8_t, 4> EqualSimpleTest(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, 1, 1, 1, 3, 3, 3, 3,
- 5, 5, 5, 5, 4, 4, 4, 4 });
-
- std::vector<uint8_t> output({ 1, 1, 1, 1, 0, 0, 0, 0,
- 0, 0, 0, 0, 1, 1, 1, 1 });
-
- return ComparisonTestImpl<4, armnn::DataType::Float32>(
- workloadFactory,
- memoryManager,
- armnn::ComparisonDescriptor(armnn::ComparisonOperation::Equal),
- shape,
- input0,
- shape,
- input1,
- shape,
- output);
-}
-
-LayerTestResult<uint8_t, 4> EqualBroadcast1ElementTest(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- unsigned int shape0[] = { 1, 2, 2, 2 };
- std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8});
-
- unsigned int shape1[] = { 1, 1, 1, 1 };
- std::vector<float> input1({ 1 });
-
- std::vector<uint8_t> output({ 1, 0, 0, 0, 0, 0, 0, 0});
-
- return ComparisonTestImpl<4, armnn::DataType::Float32>(
- workloadFactory,
- memoryManager,
- armnn::ComparisonDescriptor(armnn::ComparisonOperation::Equal),
- shape0,
- input0,
- shape1,
- input1,
- shape0,
- output);
-}
-
-LayerTestResult<uint8_t, 4> EqualBroadcast1DVectorTest(
- 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, 2, 3, 4, 5, 6,
- 7, 8, 9, 10, 11, 12 });
-
- std::vector<float> input1({ 1, 2, 3});
-
- std::vector<uint8_t> output({ 1, 1, 1, 0, 0, 0,
- 0, 0, 0, 0, 0, 0 });
-
- return ComparisonTestImpl<4, armnn::DataType::Float32>(
- workloadFactory,
- memoryManager,
- armnn::ComparisonDescriptor(armnn::ComparisonOperation::Equal),
- shape0,
- input0,
- shape1,
- input1,
- shape0,
- output);
-}
-
-LayerTestResult<uint8_t, 4> EqualFloat16Test(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- using namespace half_float::literal;
-
- unsigned int shape[] = { 2, 2, 2, 2 };
-
- // See dequantized values to the right.
- std::vector<armnn::Half> input0({ 1._h, 1._h, 1._h, 1._h, 6._h, 6._h, 6._h, 6._h,
- 3._h, 3._h, 3._h, 3._h, 7._h, 7._h, 7._h, 7._h });
-
- std::vector<armnn::Half> input1({ 2._h, 2._h, 2._h, 2._h, 6._h, 6._h, 6._h, 6._h,
- 3._h, 3._h, 3._h, 3._h, 5._h, 5._h, 5._h, 5._h });
-
- std::vector<uint8_t> output({ 0, 0, 0, 0, 1, 1, 1, 1,
- 1, 1, 1, 1, 0, 0, 0, 0 });
-
- return ComparisonTestImpl<4, armnn::DataType::Float16>(
- workloadFactory,
- memoryManager,
- armnn::ComparisonDescriptor(armnn::ComparisonOperation::Equal),
- shape,
- input0,
- shape,
- input1,
- shape,
- output);
-}
-
-LayerTestResult<uint8_t, 4> EqualBroadcast1ElementFloat16Test(
- 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, 1 };
-
- std::vector<armnn::Half> input0({ 1._h, 2._h, 3._h, 4._h, 5._h, 6._h,
- 7._h, 8._h, 9._h, 10._h, 11._h, 12._h });
-
- std::vector<armnn::Half> input1({ 1._h });
-
- std::vector<uint8_t> output({ 1, 0, 0, 0, 0, 0,
- 0, 0, 0, 0, 0, 0 });
-
- return ComparisonTestImpl<4, armnn::DataType::Float16>(
- workloadFactory,
- memoryManager,
- armnn::ComparisonDescriptor(armnn::ComparisonOperation::Equal),
- shape0,
- input0,
- shape1,
- input1,
- shape0,
- output);
-}
-
-LayerTestResult<uint8_t, 4> EqualBroadcast1DVectorFloat16Test(
- 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._h, 2._h, 3._h, 4._h, 5._h, 6._h,
- 7._h, 8._h, 9._h, 10._h, 11._h, 12._h });
-
- std::vector<armnn::Half> input1({ 1._h, 1._h, 3._h });
-
- std::vector<uint8_t> output({ 1, 0, 1, 0, 0, 0,
- 0, 0, 0, 0, 0, 0 });
-
- return ComparisonTestImpl<4, armnn::DataType::Float16>(
- workloadFactory,
- memoryManager,
- armnn::ComparisonDescriptor(armnn::ComparisonOperation::Equal),
- shape0,
- input0,
- shape1,
- input1,
- shape0,
- output);
-}
-
-LayerTestResult<uint8_t, 4> EqualUint8Test(
- 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, 7, 7, 7, 7 });
-
- std::vector<uint8_t> input1({ 2, 2, 2, 2, 6, 6, 6, 6,
- 3, 3, 3, 3, 5, 5, 5, 5 });
-
- std::vector<uint8_t> output({ 0, 0, 0, 0, 1, 1, 1, 1,
- 1, 1, 1, 1, 0, 0, 0, 0 });
-
- return ComparisonTestImpl<4, armnn::DataType::QuantisedAsymm8>(
- workloadFactory,
- memoryManager,
- armnn::ComparisonDescriptor(armnn::ComparisonOperation::Equal),
- shape,
- input0,
- shape,
- input1,
- shape,
- output);
-}
-
-LayerTestResult<uint8_t, 4> EqualBroadcast1ElementUint8Test(
- 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({ 1, 0, 0, 0, 0, 0,
- 0, 0, 0, 0, 0, 0 });
-
- return ComparisonTestImpl<4, armnn::DataType::QuantisedAsymm8>(
- workloadFactory,
- memoryManager,
- armnn::ComparisonDescriptor(armnn::ComparisonOperation::Equal),
- shape0,
- input0,
- shape1,
- input1,
- shape0,
- output);
-}
-
-LayerTestResult<uint8_t, 4> EqualBroadcast1DVectorUint8Test(
- 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({ 1, 0, 1, 0, 0, 0,
- 0, 0, 0, 0, 0, 0 });
-
- return ComparisonTestImpl<4, armnn::DataType::QuantisedAsymm8>(
- workloadFactory,
- memoryManager,
- armnn::ComparisonDescriptor(armnn::ComparisonOperation::Equal),
- shape0,
- input0,
- shape1,
- input1,
- shape0,
- output);
-}