IVGCVSW-2872 Unit tests for Quantize layer and reference workload
Change-Id: I291c08cb6e359453978b398255cf8ff051ed2686
Signed-off-by: Nattapat Chaimanowong <nattapat.chaimanowong@arm.com>
diff --git a/src/backends/backendsCommon/test/CMakeLists.txt b/src/backends/backendsCommon/test/CMakeLists.txt
index 47d5231..bc190dd 100644
--- a/src/backends/backendsCommon/test/CMakeLists.txt
+++ b/src/backends/backendsCommon/test/CMakeLists.txt
@@ -34,6 +34,7 @@
PermuteTestImpl.hpp
Pooling2dTestImpl.hpp
QuantizeHelper.hpp
+ QuantizeTestImpl.hpp
ReshapeTestImpl.hpp
RuntimeTestImpl.hpp
SoftmaxTestImpl.hpp
diff --git a/src/backends/backendsCommon/test/LayerTests.cpp b/src/backends/backendsCommon/test/LayerTests.cpp
index be1d435..e8fb84f 100644
--- a/src/backends/backendsCommon/test/LayerTests.cpp
+++ b/src/backends/backendsCommon/test/LayerTests.cpp
@@ -44,6 +44,7 @@
#include "ConvertFp32ToFp16TestImpl.hpp"
#include "DebugTestImpl.hpp"
#include "DequantizeTestImpl.hpp"
+#include "QuantizeTestImpl.hpp"
// 3-channel 16x8 image used as common input data for a number of Conv2d tests.
static std::vector<float> ConvInput3x8x16({
@@ -8977,3 +8978,24 @@
{
return DequantizeSimpleTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager);
}
+
+LayerTestResult<uint8_t, 4> QuantizeSimpleUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return QuantizeSimpleTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<uint8_t, 4> QuantizeClampUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return QuantizeClampTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<int16_t, 4> QuantizeClampInt16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return QuantizeClampTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager);
+}
diff --git a/src/backends/backendsCommon/test/LayerTests.hpp b/src/backends/backendsCommon/test/LayerTests.hpp
index c14ba7b..b9f73a4 100644
--- a/src/backends/backendsCommon/test/LayerTests.hpp
+++ b/src/backends/backendsCommon/test/LayerTests.hpp
@@ -1443,3 +1443,15 @@
LayerTestResult<float, 4> DequantizeUint8Test(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+
+LayerTestResult<uint8_t, 4> QuantizeSimpleUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+
+LayerTestResult<uint8_t, 4> QuantizeClampUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+
+LayerTestResult<int16_t, 4> QuantizeClampInt16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
diff --git a/src/backends/backendsCommon/test/QuantizeTestImpl.hpp b/src/backends/backendsCommon/test/QuantizeTestImpl.hpp
new file mode 100644
index 0000000..fee68f0
--- /dev/null
+++ b/src/backends/backendsCommon/test/QuantizeTestImpl.hpp
@@ -0,0 +1,126 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#pragma once
+
+#include "WorkloadTestUtils.hpp"
+
+#include <test/TensorHelpers.hpp>
+
+#include <armnn/ArmNN.hpp>
+#include <armnn/Tensor.hpp>
+#include <armnn/TypesUtils.hpp>
+
+#include <backendsCommon/CpuTensorHandle.hpp>
+#include <backendsCommon/IBackendInternal.hpp>
+#include <backendsCommon/WorkloadFactory.hpp>
+
+
+namespace
+{
+
+template<typename T, std::size_t Dim>
+LayerTestResult<T, Dim> QuantizeTestImpl(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::TensorInfo& inputTensorInfo,
+ const armnn::TensorInfo& outputTensorInfo,
+ const std::vector<float>& inputData,
+ const std::vector<T>& expectedOutputData,
+ armnn::QuantizeQueueDescriptor descriptor)
+{
+ boost::multi_array<float, Dim> input = MakeTensor<float, Dim>(inputTensorInfo, inputData);
+
+ LayerTestResult<T, Dim> ret(outputTensorInfo);
+ ret.outputExpected = MakeTensor<T, Dim>(outputTensorInfo, expectedOutputData);
+
+ std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
+ std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
+
+ armnn::WorkloadInfo info;
+ AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());
+ AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());
+
+ std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateQuantize(descriptor, info);
+
+ inputHandle->Allocate();
+ outputHandle->Allocate();
+
+ CopyDataToITensorHandle(inputHandle.get(), input.data());
+
+ ExecuteWorkload(*workload, memoryManager);
+
+ CopyDataFromITensorHandle(ret.output.data(), outputHandle.get());
+
+ return ret;
+}
+
+template <armnn::DataType ArmnnOutputType, typename T = armnn::ResolveType<ArmnnOutputType>>
+LayerTestResult<T, 4> QuantizeSimpleTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ armnn::QuantizeQueueDescriptor desc;
+
+ const armnn::TensorInfo inputTensorInfo({1, 2, 2, 3}, armnn::DataType::Float32);
+ const armnn::TensorInfo outputTensorInfo({1, 2, 2, 3}, ArmnnOutputType, 0.5f, 1);
+
+ std::vector<float> inputData = std::vector<float>(
+ {
+ 1.0f, 2.0f, 3.0f,
+ 4.0f, 5.0f, 6.0f,
+ 7.0f, 8.0f, 9.0f,
+ 10.0f, 11.0f, 12.0f,
+ });
+
+ std::vector<T> expectedOutputData = std::vector<T>(
+ {
+ 3, 5, 7,
+ 9, 11, 13,
+ 15, 17, 19,
+ 21, 23, 25,
+ });
+
+ return QuantizeTestImpl<T, 4>(workloadFactory,
+ memoryManager,
+ inputTensorInfo,
+ outputTensorInfo,
+ inputData,
+ expectedOutputData,
+ desc);
+}
+
+template <armnn::DataType ArmnnOutputType, typename T = armnn::ResolveType<ArmnnOutputType>>
+LayerTestResult<T, 4> QuantizeClampTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ armnn::QuantizeQueueDescriptor desc;
+
+ const armnn::TensorInfo inputTensorInfo({1, 1, 2, 1}, armnn::DataType::Float32);
+ const armnn::TensorInfo outputTensorInfo({1, 1, 2, 1}, ArmnnOutputType, 0.0001f, 0);
+
+ const T max = std::numeric_limits<T>::max();
+ const T min = std::numeric_limits<T>::lowest();
+
+ std::vector<float> inputData = std::vector<float>(
+ {
+ -100.0f, 100.0f
+ });
+
+ std::vector<T> expectedOutputData = std::vector<T>(
+ {
+ min, max
+ });
+
+ return QuantizeTestImpl<T, 4>(workloadFactory,
+ memoryManager,
+ inputTensorInfo,
+ outputTensorInfo,
+ inputData,
+ expectedOutputData,
+ desc);
+}
+
+} // anonymous namespace
diff --git a/src/backends/reference/test/RefLayerTests.cpp b/src/backends/reference/test/RefLayerTests.cpp
index c0e2e78..5149b9f 100644
--- a/src/backends/reference/test/RefLayerTests.cpp
+++ b/src/backends/reference/test/RefLayerTests.cpp
@@ -533,4 +533,9 @@
// Dequantize
ARMNN_AUTO_TEST_CASE(DequantizeUint8, DequantizeUint8Test)
+// Quantize
+ARMNN_AUTO_TEST_CASE(QuantizeSimpleUint8, QuantizeSimpleUint8Test)
+ARMNN_AUTO_TEST_CASE(QuantizeClampUint8, QuantizeClampUint8Test)
+ARMNN_AUTO_TEST_CASE(QuantizeClampInt16, QuantizeClampInt16Test)
+
BOOST_AUTO_TEST_SUITE_END()