aboutsummaryrefslogtreecommitdiff
path: root/src/backends/backendsCommon/test/layerTests/MaximumTestImpl.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/MaximumTestImpl.cpp')
-rw-r--r--src/backends/backendsCommon/test/layerTests/MaximumTestImpl.cpp301
1 files changed, 301 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/MaximumTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/MaximumTestImpl.cpp
new file mode 100644
index 0000000000..d0e624d655
--- /dev/null
+++ b/src/backends/backendsCommon/test/layerTests/MaximumTestImpl.cpp
@@ -0,0 +1,301 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "MaximumTestImpl.hpp"
+
+#include "ElementwiseTestImpl.hpp"
+
+template<>
+std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::MaximumQueueDescriptor>(
+ const armnn::IWorkloadFactory& workloadFactory,
+ const armnn::WorkloadInfo& info,
+ const armnn::MaximumQueueDescriptor& descriptor)
+{
+ return workloadFactory.CreateMaximum(descriptor, info);
+}
+
+LayerTestResult<float, 4> MaximumSimpleTest(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 =
+ {
+ 2.f, 2.f, 2.f, 2.f, 3.f, 3.f, 3.f, 3.f,
+ 4.f, 4.f, 4.f, 4.f, 5.f, 5.f, 5.f, 5.f
+ };
+
+ std::vector<float> output =
+ {
+ 2.f, 2.f, 2.f, 2.f, 5.f, 5.f, 5.f, 5.f,
+ 4.f, 4.f, 4.f, 4.f, 5.f, 5.f, 5.f, 5.f
+ };
+
+ return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::Float32>(
+ workloadFactory,
+ memoryManager,
+ shape,
+ input0,
+ shape,
+ input1,
+ shape,
+ output);
+}
+
+LayerTestResult<float, 4> MaximumBroadcast1ElementTest(
+ 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.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f };
+
+ std::vector<float> input1 = { 2.f };
+
+ std::vector<float> output = { 2.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f };
+
+ return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::Float32>(
+ workloadFactory,
+ memoryManager,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output);
+}
+
+LayerTestResult<float, 4> MaximumBroadcast1DVectorTest(
+ 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.f, 2.f, 3.f, 4.f, 5.f, 6.f,
+ 7.f, 8.f, 9.f, 10.f, 11.f, 12.f
+ };
+
+ std::vector<float> input1 = { 1.f, 2.f, 3.f };
+
+ std::vector<float> output =
+ {
+ 1.f, 2.f, 3.f, 4.f, 5.f, 6.f,
+ 7.f, 8.f, 9.f, 10.f, 11.f, 12.f
+ };
+
+ return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::Float32>(
+ workloadFactory,
+ memoryManager,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output);
+}
+
+LayerTestResult<uint8_t, 4> MaximumUint8Test(
+ 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, 4, 4, 4, 4
+ };
+
+ std::vector<uint8_t> input1 =
+ {
+ 2, 2, 2, 2, 3, 3, 3, 3,
+ 4, 4, 4, 4, 5, 5, 5, 5
+ };
+
+ std::vector<uint8_t> output =
+ {
+ 2, 2, 2, 2, 6, 6, 6, 6,
+ 4, 4, 4, 4, 5, 5, 5, 5
+ };
+
+ return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedAsymm8>(
+ workloadFactory,
+ memoryManager,
+ shape,
+ input0,
+ shape,
+ input1,
+ shape,
+ output);
+}
+
+LayerTestResult<uint8_t, 4> MaximumBroadcast1ElementUint8Test(
+ 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 = { 2 };
+
+ std::vector<uint8_t> output =
+ {
+ 2, 2, 3, 4, 5, 6,
+ 7, 8, 9, 10, 11, 12
+ };
+
+ return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedAsymm8>(
+ workloadFactory,
+ memoryManager,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output);
+}
+
+LayerTestResult<uint8_t, 4> MaximumBroadcast1DVectorUint8Test(
+ 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, 10, 3 };
+
+ std::vector<uint8_t> output = {
+ 1, 10, 3, 4, 10, 6,
+ 7, 10, 9, 10, 11, 12
+ };
+
+ return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedAsymm8>(
+ workloadFactory,
+ memoryManager,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output);
+}
+
+LayerTestResult<int16_t, 4> MaximumInt16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ unsigned int shape[] = { 2, 2, 2, 2 };
+
+ std::vector<int16_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6,
+ 3, 3, 3, 3, 4, 4, 4, 4 });
+
+ std::vector<int16_t> input1({ 2, 2, 2, 2, 3, 3, 3, 3,
+ 4, 4, 4, 4, 5, 5, 5, 5 });
+
+ std::vector<int16_t> output({ 2, 2, 2, 2, 6, 6, 6, 6,
+ 4, 4, 4, 4, 5, 5, 5, 5 });
+
+ return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedSymm16>(
+ workloadFactory,
+ memoryManager,
+ shape,
+ input0,
+ shape,
+ input1,
+ shape,
+ output);
+}
+
+LayerTestResult<int16_t, 4> MaximumBroadcast1ElementInt16Test(
+ 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<int16_t> input0 =
+ {
+ 1, 2, 3, 4, 5, 6,
+ 7, 8, 9, 10, 11, 12
+ };
+
+ std::vector<int16_t> input1 = { 2 };
+
+ std::vector<int16_t> output =
+ {
+ 2, 2, 3, 4, 5, 6,
+ 7, 8, 9, 10, 11, 12
+ };
+
+ return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedSymm16>(
+ workloadFactory,
+ memoryManager,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output);
+}
+
+LayerTestResult<int16_t, 4> MaximumBroadcast1DVectorInt16Test(
+ 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<int16_t> input0 =
+ {
+ 1, 2, 3, 4, 5, 6,
+ 7, 8, 9, 10, 11, 12
+ };
+
+ std::vector<int16_t> input1 = { 1, 10, 3 };
+
+ std::vector<int16_t> output =
+ {
+ 1, 10, 3, 4, 10, 6,
+ 7, 10, 9, 10, 11, 12
+ };
+
+ return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedSymm16>(
+ workloadFactory,
+ memoryManager,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output);
+}
generated by cgit v1.2.1 (git 2.23.0) at 2024-07-06 11:15:28 +0000