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authornarpra01 <narumol.prangnawarat@arm.com>2019-01-23 15:23:11 +0000
committerNarumol Prangnawarat <narumol.prangnawarat@arm.com>2019-01-23 17:13:15 +0000
commitdb2b160bf9e7759d0157dfa57ee940290f5170e3 (patch)
tree536fa36ebc9eb8442b96b486a10cadab28d32647 /src/backends/backendsCommon
parentc625f000198218fc8d03130ee5658f73b94b2683 (diff)
downloadarmnn-db2b160bf9e7759d0157dfa57ee940290f5170e3.tar.gz
IVGCVSW-2511 Add end to end Gather layer test
* Add end to end test for Gather operator * Add Support for int32 to Constant layer for Ref * Add Int32Workload * Add RefConstantWorkload as template for float, uint8, int32 * Remove unused RefBaseConstantWorkload * Remove unused RefConstantFloat32Workload * Remove unused RefConstantUint8Workload * Add support check for int32 in LayerSupport functions Change-Id: Ic970588a49ebe2aafb12be8adef52371feacaa7b
Diffstat (limited to 'src/backends/backendsCommon')
-rw-r--r--src/backends/backendsCommon/MakeWorkloadHelper.hpp9
-rw-r--r--src/backends/backendsCommon/Workload.hpp3
-rw-r--r--src/backends/backendsCommon/test/CMakeLists.txt2
-rw-r--r--src/backends/backendsCommon/test/GatherEndToEndTestImpl.hpp124
4 files changed, 134 insertions, 4 deletions
diff --git a/src/backends/backendsCommon/MakeWorkloadHelper.hpp b/src/backends/backendsCommon/MakeWorkloadHelper.hpp
index 78a9669530..7784cc6d4d 100644
--- a/src/backends/backendsCommon/MakeWorkloadHelper.hpp
+++ b/src/backends/backendsCommon/MakeWorkloadHelper.hpp
@@ -37,8 +37,8 @@ struct MakeWorkloadForType<NullWorkload>
// Makes a workload for one the specified types based on the data type requirements of the tensorinfo.
// Specify type void as the WorkloadType for unsupported DataType/WorkloadType combos.
-template <typename Float16Workload, typename Float32Workload, typename Uint8Workload, typename QueueDescriptorType,
- typename... Args>
+template <typename Float16Workload, typename Float32Workload, typename Uint8Workload, typename Int32Workload,
+ typename QueueDescriptorType, typename... Args>
std::unique_ptr<IWorkload> MakeWorkloadHelper(const QueueDescriptorType& descriptor,
const WorkloadInfo& info,
Args&&... args)
@@ -58,6 +58,8 @@ std::unique_ptr<IWorkload> MakeWorkloadHelper(const QueueDescriptorType& descrip
return MakeWorkloadForType<Float32Workload>::Func(descriptor, info, std::forward<Args>(args)...);
case DataType::QuantisedAsymm8:
return MakeWorkloadForType<Uint8Workload>::Func(descriptor, info, std::forward<Args>(args)...);
+ case DataType::Signed32:
+ return MakeWorkloadForType<Int32Workload>::Func(descriptor, info, std::forward<Args>(args)...);
default:
BOOST_ASSERT_MSG(false, "Unknown DataType.");
return nullptr;
@@ -73,10 +75,9 @@ std::unique_ptr<IWorkload> MakeWorkloadHelper(const QueueDescriptorType& descrip
const WorkloadInfo& info,
Args&&... args)
{
- return MakeWorkloadHelper<FloatWorkload, FloatWorkload, Uint8Workload>(descriptor, info,
+ return MakeWorkloadHelper<FloatWorkload, FloatWorkload, Uint8Workload, NullWorkload>(descriptor, info,
std::forward<Args>(args)...);
}
-
} //namespace
} //namespace armnn
diff --git a/src/backends/backendsCommon/Workload.hpp b/src/backends/backendsCommon/Workload.hpp
index 65392194a2..34d13635ba 100644
--- a/src/backends/backendsCommon/Workload.hpp
+++ b/src/backends/backendsCommon/Workload.hpp
@@ -162,6 +162,9 @@ template <typename QueueDescriptor>
using Uint8Workload = TypedWorkload<QueueDescriptor, armnn::DataType::QuantisedAsymm8>;
template <typename QueueDescriptor>
+using Int32Workload = TypedWorkload<QueueDescriptor, armnn::DataType::Signed32>;
+
+template <typename QueueDescriptor>
using Float16ToFloat32Workload = MultiTypedWorkload<QueueDescriptor,
armnn::DataType::Float16,
armnn::DataType::Float32>;
diff --git a/src/backends/backendsCommon/test/CMakeLists.txt b/src/backends/backendsCommon/test/CMakeLists.txt
index 8107176210..80a9cfeaa9 100644
--- a/src/backends/backendsCommon/test/CMakeLists.txt
+++ b/src/backends/backendsCommon/test/CMakeLists.txt
@@ -16,6 +16,8 @@ list(APPEND armnnBackendsCommonUnitTests_sources
DebugTestImpl.hpp
EndToEndTestImpl.hpp
FullyConnectedTestImpl.hpp
+ GatherTestImpl.hpp
+ GatherEndToEndTestImpl.hpp
IsLayerSupportedTestImpl.hpp
JsonPrinterTestImpl.cpp
JsonPrinterTestImpl.hpp
diff --git a/src/backends/backendsCommon/test/GatherEndToEndTestImpl.hpp b/src/backends/backendsCommon/test/GatherEndToEndTestImpl.hpp
new file mode 100644
index 0000000000..d30da549df
--- /dev/null
+++ b/src/backends/backendsCommon/test/GatherEndToEndTestImpl.hpp
@@ -0,0 +1,124 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include <armnn/INetwork.hpp>
+#include <backendsCommon/test/CommonTestUtils.hpp>
+#include <TypeUtils.hpp>
+
+namespace{
+
+armnn::INetworkPtr CreateGatherNetwork(const armnn::TensorInfo& paramsInfo,
+ const armnn::TensorInfo& indicesInfo,
+ const armnn::TensorInfo& outputInfo,
+ const std::vector<int32_t>& indicesData)
+{
+ armnn::INetworkPtr net(armnn::INetwork::Create());
+
+ armnn::IConnectableLayer* paramsLayer = net->AddInputLayer(0);
+ armnn::IConnectableLayer* indicesLayer = net->AddConstantLayer(armnn::ConstTensor(indicesInfo, indicesData));
+ armnn::IConnectableLayer* gatherLayer = net->AddGatherLayer("gather");
+ armnn::IConnectableLayer* outputLayer = net->AddOutputLayer(0, "output");
+ Connect(paramsLayer, gatherLayer, paramsInfo, 0, 0);
+ Connect(indicesLayer, gatherLayer, indicesInfo, 0, 1);
+ Connect(gatherLayer, outputLayer, outputInfo, 0, 0);
+
+ return net;
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+void GatherEndToEnd(const std::vector<BackendId>& backends)
+{
+ armnn::TensorInfo paramsInfo({ 8 }, ArmnnType);
+ armnn::TensorInfo indicesInfo({ 3 }, armnn::DataType::Signed32);
+ armnn::TensorInfo outputInfo({ 3 }, ArmnnType);
+
+ paramsInfo.SetQuantizationScale(1.0f);
+ paramsInfo.SetQuantizationOffset(0);
+ outputInfo.SetQuantizationScale(1.0f);
+ outputInfo.SetQuantizationOffset(0);
+
+ // Creates structures for input & output.
+ std::vector<T> paramsData{
+ 1, 2, 3, 4, 5, 6, 7, 8
+ };
+
+ std::vector<int32_t> indicesData{
+ 7, 6, 5
+ };
+
+ std::vector<T> expectedOutput{
+ 8, 7, 6
+ };
+
+ // Builds up the structure of the network
+ armnn::INetworkPtr net = CreateGatherNetwork(paramsInfo, indicesInfo, outputInfo, indicesData);
+
+ BOOST_TEST_CHECKPOINT("create a network");
+
+ std::map<int, std::vector<T>> inputTensorData = {{ 0, paramsData }};
+ std::map<int, std::vector<T>> expectedOutputData = {{ 0, expectedOutput }};
+
+ EndToEndLayerTestImpl<T>(move(net), inputTensorData, expectedOutputData, backends);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+void GatherMultiDimEndToEnd(const std::vector<BackendId>& backends)
+{
+ armnn::TensorInfo paramsInfo({ 3, 2, 3}, ArmnnType);
+ armnn::TensorInfo indicesInfo({ 2, 3 }, armnn::DataType::Signed32);
+ armnn::TensorInfo outputInfo({ 2, 3, 2, 3 }, ArmnnType);
+
+ paramsInfo.SetQuantizationScale(1.0f);
+ paramsInfo.SetQuantizationOffset(0);
+ outputInfo.SetQuantizationScale(1.0f);
+ outputInfo.SetQuantizationOffset(0);
+
+ // Creates structures for input & output.
+ std::vector<T> paramsData{
+ 1, 2, 3,
+ 4, 5, 6,
+
+ 7, 8, 9,
+ 10, 11, 12,
+
+ 13, 14, 15,
+ 16, 17, 18
+ };
+
+ std::vector<int32_t> indicesData{
+ 1, 2, 1,
+ 2, 1, 0
+ };
+
+ std::vector<T> expectedOutput{
+ 7, 8, 9,
+ 10, 11, 12,
+ 13, 14, 15,
+ 16, 17, 18,
+ 7, 8, 9,
+ 10, 11, 12,
+
+ 13, 14, 15,
+ 16, 17, 18,
+ 7, 8, 9,
+ 10, 11, 12,
+ 1, 2, 3,
+ 4, 5, 6
+ };
+
+ // Builds up the structure of the network
+ armnn::INetworkPtr net = CreateGatherNetwork(paramsInfo, indicesInfo, outputInfo, indicesData);
+
+ BOOST_TEST_CHECKPOINT("create a network");
+
+ std::map<int, std::vector<T>> inputTensorData = {{ 0, paramsData }};
+ std::map<int, std::vector<T>> expectedOutputData = {{ 0, expectedOutput }};
+
+ EndToEndLayerTestImpl<T>(move(net), inputTensorData, expectedOutputData, backends);
+}
+
+} // anonymous namespace \ No newline at end of file