From b392e9845b7f40ab0c389f29f13f6ec84dd814d1 Mon Sep 17 00:00:00 2001
From: mathad01 <matthew.haddon@arm.com>
Date: Wed, 7 Apr 2021 12:07:30 +0100
Subject: IVGCVSW-5410 Add front-end support for CAST IVGCVSW-5415 Add
 TfLiteParser support for CAST

 * Added front end support for CAST, including support in the
Reference workload, Serialization, Deserializtion, Unit tests, and
TfLiteParser.

Signed-off-by: mathad01 <matthew.haddon@arm.com>
Change-Id: Iaf670ca5912a21ed6bc84f7f83a68b42154846bb
---
 src/backends/backendsCommon/test/CMakeLists.txt    |   2 +
 .../test/IsLayerSupportedTestImpl.hpp              |   2 +
 src/backends/backendsCommon/test/LayerTests.hpp    |   1 +
 .../test/layerTests/CastTestImpl.cpp               | 229 +++++++++++++++++++++
 .../test/layerTests/CastTestImpl.hpp               |  84 ++++++++
 5 files changed, 318 insertions(+)
 create mode 100644 src/backends/backendsCommon/test/layerTests/CastTestImpl.cpp
 create mode 100644 src/backends/backendsCommon/test/layerTests/CastTestImpl.hpp

(limited to 'src/backends/backendsCommon/test')

diff --git a/src/backends/backendsCommon/test/CMakeLists.txt b/src/backends/backendsCommon/test/CMakeLists.txt
index 248ada92a2..98b800bda2 100644
--- a/src/backends/backendsCommon/test/CMakeLists.txt
+++ b/src/backends/backendsCommon/test/CMakeLists.txt
@@ -68,6 +68,8 @@ list(APPEND armnnBackendsCommonUnitTests_sources
     layerTests/BatchNormalizationTestImpl.cpp
     layerTests/BatchNormalizationTestImpl.hpp
     layerTests/BatchToSpaceNdTestImpl.hpp
+    layerTests/CastTestImpl.cpp
+    layerTests/CastTestImpl.hpp
     layerTests/ComparisonTestImpl.cpp
     layerTests/ComparisonTestImpl.hpp
     layerTests/ConcatTestImpl.cpp
diff --git a/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp b/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp
index c7d1dd2182..b73efbe26c 100644
--- a/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp
+++ b/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp
@@ -566,6 +566,8 @@ DECLARE_LAYER_POLICY_2_PARAM(BatchNormalization)
 
 DECLARE_LAYER_POLICY_2_PARAM(BatchToSpaceNd)
 
+DECLARE_LAYER_POLICY_1_PARAM(Cast)
+
 DECLARE_LAYER_POLICY_2_PARAM(Comparison)
 
 DECLARE_LAYER_POLICY_2_PARAM(Concat)
diff --git a/src/backends/backendsCommon/test/LayerTests.hpp b/src/backends/backendsCommon/test/LayerTests.hpp
index a7dcb9988f..c1b4b46863 100644
--- a/src/backends/backendsCommon/test/LayerTests.hpp
+++ b/src/backends/backendsCommon/test/LayerTests.hpp
@@ -11,6 +11,7 @@
 #include <backendsCommon/test/layerTests/ArgMinMaxTestImpl.hpp>
 #include <backendsCommon/test/layerTests/BatchNormalizationTestImpl.hpp>
 #include <backendsCommon/test/layerTests/BatchToSpaceNdTestImpl.hpp>
+#include <backendsCommon/test/layerTests/CastTestImpl.hpp>
 #include <backendsCommon/test/layerTests/ComparisonTestImpl.hpp>
 #include <backendsCommon/test/layerTests/ConcatTestImpl.hpp>
 #include <backendsCommon/test/layerTests/ConvertBf16ToFp32TestImpl.hpp>
diff --git a/src/backends/backendsCommon/test/layerTests/CastTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/CastTestImpl.cpp
new file mode 100644
index 0000000000..ad23b8c767
--- /dev/null
+++ b/src/backends/backendsCommon/test/layerTests/CastTestImpl.cpp
@@ -0,0 +1,229 @@
+//
+// Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "CastTestImpl.hpp"
+#include "ElementwiseUnaryTestImpl.hpp"
+
+
+template<armnn::DataType inputDataType, armnn::DataType outputDataType, typename TInput, typename TOutput>
+LayerTestResult<TOutput, 4> CastTest(armnn::IWorkloadFactory& workloadFactory,
+                                     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+                                     const armnn::ITensorHandleFactory& tensorHandleFactory,
+                                     const std::vector<TInput>& inputValues,
+                                     const std::vector<TOutput>& outputValues)
+{
+    IgnoreUnused(memoryManager);
+    armnn::TensorInfo inputTensorInfo({1, 3, 2, 3}, inputDataType);
+    armnn::TensorInfo outputTensorInfo({1, 3, 2, 3}, outputDataType);
+    float quantizationScale = 1.0f;
+    int32_t quantizationOffset = 0;
+
+    if(armnn::IsQuantizedType<TInput>())
+    {
+        inputTensorInfo.SetQuantizationScale(quantizationScale);
+        inputTensorInfo.SetQuantizationOffset(quantizationOffset);
+    }
+    if(armnn::IsQuantizedType<TOutput>())
+    {
+        outputTensorInfo.SetQuantizationScale(quantizationScale);
+        outputTensorInfo.SetQuantizationOffset(quantizationOffset);
+    }
+
+    auto input = MakeTensor<TInput, 4>(inputTensorInfo, inputValues);
+
+    LayerTestResult<TOutput, 4> ret(outputTensorInfo);
+    ret.outputExpected = MakeTensor<TOutput, 4>(outputTensorInfo, outputValues);
+
+    std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
+    std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
+
+    armnn::CastQueueDescriptor data;
+    armnn::WorkloadInfo info;
+    AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());
+    AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());
+
+    std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateCast(data, info);
+
+    inputHandle->Allocate();
+    outputHandle->Allocate();
+
+    CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]);
+
+    workload->Execute();
+
+    CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get());
+
+    return ret;
+}
+
+LayerTestResult<float, 4> CastInt32ToFloat2dTest(armnn::IWorkloadFactory& workloadFactory,
+                                 const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+                                 const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    std::vector<int32_t> inputValues = { -1, -3, -1, -3, -1, -3, -1, -3, 1,
+                                         3, 1, 3, 1, 2, 1, 3, 1, 3 };
+    std::vector<float> outputValues  = { -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, 1.0f,
+                                        3.0f, 1.0f, 3.0f, 1.0f, 2.0f, 1.0f, 3.0f, 1.0f, 3.0f };
+    return CastTest<armnn::DataType::Signed32, armnn::DataType::Float32>(workloadFactory, memoryManager,
+                                                                         tensorHandleFactory, inputValues,
+                                                                         outputValues);
+}
+
+LayerTestResult<float, 4> CastInt16ToFloat2dTest(armnn::IWorkloadFactory& workloadFactory,
+                                               const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+                                               const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    std::vector<int16_t> inputValues = { -1, -3, -1, -3, -1, -3, -1, -3, 1,
+                                         3, 1, 3, 1, 2, 1, 3, 1, 3 };
+    std::vector<float> outputValues  = { -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, 1.0f,
+                                         3.0f, 1.0f, 3.0f, 1.0f, 2.0f, 1.0f, 3.0f, 1.0f, 3.0f };
+    return CastTest<armnn::DataType::QSymmS16, armnn::DataType::Float32>(workloadFactory, memoryManager,
+                                                                         tensorHandleFactory, inputValues,
+                                                                         outputValues);
+}
+
+LayerTestResult<float, 4> CastInt8ToFloat2dTest(armnn::IWorkloadFactory& workloadFactory,
+                                                 const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+                                                 const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    std::vector<int8_t> inputValues = { -1, -3, -1, -3, -1, -3, -1, -3, 1,
+                                         3, 1, 3, 1, 2, 1, 3, 1, 3 };
+    std::vector<float> outputValues  = { -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, 1.0f,
+                                         3.0f, 1.0f, 3.0f, 1.0f, 2.0f, 1.0f, 3.0f, 1.0f, 3.0f };
+    return CastTest<armnn::DataType::QSymmS8, armnn::DataType::Float32>(workloadFactory, memoryManager,
+                                                                         tensorHandleFactory, inputValues,
+                                                                        outputValues);
+}
+
+LayerTestResult<float, 4> CastInt8AsymmToFloat2dTest(armnn::IWorkloadFactory& workloadFactory,
+                                                const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+                                                const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    std::vector<int8_t> inputValues = { -1, -3, -1, -3, -1, -3, -1, -3, 1,
+                                        3, 1, 3, 1, 2, 1, 3, 1, 3 };
+    std::vector<float> outputValues  = { -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, 1.0f,
+                                         3.0f, 1.0f, 3.0f, 1.0f, 2.0f, 1.0f, 3.0f, 1.0f, 3.0f };
+    return CastTest<armnn::DataType::QAsymmS8, armnn::DataType::Float32>(workloadFactory, memoryManager,
+                                                                        tensorHandleFactory, inputValues, outputValues);
+}
+
+LayerTestResult<float, 4> CastUInt8ToFloat2dTest(armnn::IWorkloadFactory& workloadFactory,
+                                               const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+                                               const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    std::vector<u_int8_t> inputValues = { 1, 3, 1, 3, 1, 3, 1, 3, 1,
+                                         3, 1, 3, 1, 2, 1, 3, 1, 3 };
+    std::vector<float> outputValues  = { 1.0f, 3.0f, 1.0f, 3.0f, 1.0f, 3.0f, 1.0f, 3.0f, 1.0f,
+                                         3.0f, 1.0f, 3.0f, 1.0f, 2.0f, 1.0f, 3.0f, 1.0f, 3.0f };
+    return CastTest<armnn::DataType::QAsymmU8, armnn::DataType::Float32>(workloadFactory, memoryManager,
+                                                                         tensorHandleFactory, inputValues,
+                                                                         outputValues);
+}
+
+LayerTestResult<uint8_t, 4> CastInt8ToUInt82dTest(armnn::IWorkloadFactory& workloadFactory,
+                                                  const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+                                                  const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    std::vector<int8_t> inputValues  = { -1, -3, -1, -3, -1, -3, -1, -3, -1,
+                                         3, 1, 3, 1, 2, 1, 3, 1, 3 };
+    std::vector<uint8_t> outputValues = { 0, 0, 0, 0, 0, 0, 0, 0, 0,
+                                          3, 1, 3, 1, 2, 1, 3, 1, 3 };
+    return CastTest<armnn::DataType::QSymmS8, armnn::DataType::QAsymmU8>(workloadFactory, memoryManager,
+                                                                         tensorHandleFactory, inputValues,
+                                                                         outputValues);
+}
+
+LayerTestResult<uint8_t, 4> CastInt8AsymmToUInt82dTest(armnn::IWorkloadFactory& workloadFactory,
+                                               const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+                                               const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    std::vector<int8_t> inputValues  = { -1, -3, -1, -3, -1, -3, -1, -3, -1,
+                                         3, 1, 3, 1, 2, 1, 3, 1, 3 };
+    std::vector<uint8_t> outputValues = { 0, 0, 0, 0, 0, 0, 0, 0, 0,
+                                          3, 1, 3, 1, 2, 1, 3, 1, 3 };
+    return CastTest<armnn::DataType::QAsymmS8, armnn::DataType::QAsymmU8>(workloadFactory, memoryManager,
+                                                                         tensorHandleFactory, inputValues,
+                                                                          outputValues);
+}
+
+LayerTestResult<float, 4> CastFloat16ToFloat322dTest(armnn::IWorkloadFactory& workloadFactory,
+                                               const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+                                               const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    using namespace half_float::literal;
+
+    std::vector<armnn::Half> inputValues = { -1.10_h, -3._h, -1.30_h, -3._h, -1._h, -3._h, -1._h, -3._h, 1._h,
+                                         3.10_h, 1._h, 3.30_h, 1._h, 2._h, 1._h, 3._h, 1._h, 3._h };
+    std::vector<float> outputValues  = { -1.1f, -3.0f, -1.3f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, 1.0f,
+                                       3.1f, 1.0f, 3.3f, 1.0f, 2.0f, 1.0f, 3.0f, 1.0f, 3.0f };
+    return CastTest<armnn::DataType::Float16, armnn::DataType::Float32>(workloadFactory, memoryManager,
+                                                                        tensorHandleFactory, inputValues,
+                                                                        outputValues);
+}
+
+LayerTestResult<float, 4> CastBFloat16ToFloat322dTest(armnn::IWorkloadFactory& workloadFactory,
+                                              const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+                                              const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+
+    std::vector<armnn::BFloat16> inputValues = armnnUtils::QuantizedVector<armnn::BFloat16>(
+            {
+                    -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f,
+                    1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f
+            },
+            1.0f, 0);
+
+
+    std::vector<float> outputValues = { -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f,
+                                                1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f };
+
+    return CastTest<armnn::DataType::BFloat16, armnn::DataType::Float32>(workloadFactory, memoryManager,
+                                                                        tensorHandleFactory, inputValues, outputValues);
+}
+
+LayerTestResult<armnn::Half, 4> CastFloat32ToFloat162dTest(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    using namespace half_float::literal;
+
+    std::vector<float> inputValues = { -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f,
+                                       0.00000004f, 3.4E38f, 300.0f, 0.5f, 1.3f, 1.5f, 2.1E4f, 8.76f, 15.2f, 37.5f };
+    std::vector<armnn::Half> outputValues = {-37.50_h, -15.20_h, -8.76_h, -2._h, -1.50_h, -1.30_h, -0.50_h, -0.40_h,
+                                     0._h, 6.55E4_h, 300._h, 0.50_h, 1.30_h, 1.50_h, 2.1E4_h, 8.76_h, 15.20_h, 37.50_h};
+
+    return CastTest<armnn::DataType::Float32, armnn::DataType::Float16>(workloadFactory, memoryManager,
+                                                                         tensorHandleFactory, inputValues,
+                                                                         outputValues);
+}
+
+LayerTestResult<int8_t , 4> CastFloat32ToInt82dTest(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    std::vector<float> inputValues  = { -1.0f, -3.5f, -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, 1.0f,
+                                         3.1f, 1.5f, 3.9f, 1.0f, 2.0f, 1.0f, 3.0f, 1.0f, 3.0f };
+    std::vector<int8_t> outputValues = { -1, -3, -1, -3, -1, -3, -1, -3, 1,
+                                        3, 1, 3, 1, 2, 1, 3, 1, 3 };
+    return CastTest<armnn::DataType::Float32, armnn::DataType::QAsymmS8>(workloadFactory, memoryManager,
+                                                                         tensorHandleFactory, inputValues,
+                                                                         outputValues);
+}
+
+LayerTestResult<uint8_t , 4> CastFloat32ToUInt82dTest(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    std::vector<float> inputValues  = { -1.0f, -3.5f, -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, 1.0f,
+                                        3.1f, 1.5f, 3.9f, 1.0f, 2.0f, 1.0f, 3.0f, 1.0f, 3.0f };
+    std::vector<uint8_t> outputValues = { 0, 0, 0, 0, 0, 0, 0, 0, 1,
+                                         3, 1, 3, 1, 2, 1, 3, 1, 3 };
+    return CastTest<armnn::DataType::Float32, armnn::DataType::QAsymmU8>(workloadFactory, memoryManager,
+                                                                         tensorHandleFactory, inputValues,
+                                                                         outputValues);
+}
diff --git a/src/backends/backendsCommon/test/layerTests/CastTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/CastTestImpl.hpp
new file mode 100644
index 0000000000..bf8d5a4e24
--- /dev/null
+++ b/src/backends/backendsCommon/test/layerTests/CastTestImpl.hpp
@@ -0,0 +1,84 @@
+//
+// Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include "LayerTestResult.hpp"
+
+#include <ResolveType.hpp>
+
+#include <armnn/backends/IBackendInternal.hpp>
+#include <backendsCommon/WorkloadFactory.hpp>
+#include <Half.hpp>
+
+template<armnn::DataType inputDataType, armnn::DataType outputDataType,
+        typename TInput=armnn::ResolveType<inputDataType>,
+        typename TOutput=armnn::ResolveType<outputDataType>>
+LayerTestResult<TOutput, 4> CastTest(armnn::IWorkloadFactory& workloadFactory,
+                                     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+                                     const armnn::ITensorHandleFactory& tensorHandleFactory,
+                                     const std::vector<TInput>& inputTensor,
+                                     const std::vector<TOutput>& outputTensor);
+
+
+LayerTestResult<float, 4> CastInt32ToFloat2dTest(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<float, 4> CastInt16ToFloat2dTest(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<float, 4> CastInt8ToFloat2dTest(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<float, 4> CastInt8AsymmToFloat2dTest(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<float, 4> CastUInt8ToFloat2dTest(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<uint8_t, 4> CastInt8ToUInt82dTest(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<uint8_t, 4> CastInt8AsymmToUInt82dTest(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<float, 4> CastFloat16ToFloat322dTest(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<float, 4> CastBFloat16ToFloat322dTest(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<armnn::Half, 4> CastFloat32ToFloat162dTest(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<int8_t , 4> CastFloat32ToInt82dTest(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<uint8_t , 4> CastFloat32ToUInt82dTest(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory);
-- 
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