IVGCVSW-3734 Add NEON workload for DepthToSpace
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I4fa8cba57f3a2277112c02062f4d2790089d1eb5
diff --git a/src/backends/neon/NeonLayerSupport.cpp b/src/backends/neon/NeonLayerSupport.cpp
index 0d4d4c3..b713aba 100644
--- a/src/backends/neon/NeonLayerSupport.cpp
+++ b/src/backends/neon/NeonLayerSupport.cpp
@@ -23,6 +23,7 @@
#include "workloads/NeonActivationWorkload.hpp"
#include "workloads/NeonBatchNormalizationWorkload.hpp"
#include "workloads/NeonConvolution2dWorkload.hpp"
+#include "workloads/NeonDepthToSpaceWorkload.hpp"
#include "workloads/NeonDepthwiseConvolutionWorkload.hpp"
#include "workloads/NeonDequantizeWorkload.hpp"
#include "workloads/NeonGreaterWorkload.hpp"
@@ -249,6 +250,18 @@
biases);
}
+bool NeonLayerSupport::IsDepthToSpaceSupported(const TensorInfo& input,
+ const TensorInfo& output,
+ const DepthToSpaceDescriptor& descriptor,
+ Optional<std::string&> reasonIfUnsupported) const
+{
+ FORWARD_WORKLOAD_VALIDATE_FUNC(NeonDepthToSpaceWorkloadValidate,
+ reasonIfUnsupported,
+ input,
+ output,
+ descriptor);
+}
+
bool NeonLayerSupport::IsDepthwiseConvolutionSupported(const TensorInfo& input,
const TensorInfo& output,
const DepthwiseConvolution2dDescriptor& descriptor,
diff --git a/src/backends/neon/NeonLayerSupport.hpp b/src/backends/neon/NeonLayerSupport.hpp
index cc4798e..31f9e57 100644
--- a/src/backends/neon/NeonLayerSupport.hpp
+++ b/src/backends/neon/NeonLayerSupport.hpp
@@ -58,6 +58,12 @@
const Optional<TensorInfo>& biases,
Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+ bool IsDepthToSpaceSupported(const TensorInfo& input,
+ const TensorInfo& output,
+ const DepthToSpaceDescriptor& descriptor,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+
bool IsDepthwiseConvolutionSupported(const TensorInfo& input,
const TensorInfo& output,
const DepthwiseConvolution2dDescriptor& descriptor,
diff --git a/src/backends/neon/NeonWorkloadFactory.cpp b/src/backends/neon/NeonWorkloadFactory.cpp
index fb81008..f0b738c 100644
--- a/src/backends/neon/NeonWorkloadFactory.cpp
+++ b/src/backends/neon/NeonWorkloadFactory.cpp
@@ -170,6 +170,12 @@
m_MemoryManager->GetIntraLayerManager());
}
+std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateDepthToSpace(const DepthToSpaceQueueDescriptor& descriptor,
+ const WorkloadInfo& info) const
+{
+ return std::make_unique<NeonDepthToSpaceWorkload>(descriptor, info);
+}
+
std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateDepthwiseConvolution2d(
const DepthwiseConvolution2dQueueDescriptor& descriptor, const WorkloadInfo& info) const
{
diff --git a/src/backends/neon/NeonWorkloadFactory.hpp b/src/backends/neon/NeonWorkloadFactory.hpp
index 0bee365..4bdbc8e 100644
--- a/src/backends/neon/NeonWorkloadFactory.hpp
+++ b/src/backends/neon/NeonWorkloadFactory.hpp
@@ -76,6 +76,9 @@
std::unique_ptr<IWorkload> CreateConvolution2d(const Convolution2dQueueDescriptor& descriptor,
const WorkloadInfo& info) const override;
+ std::unique_ptr<IWorkload> CreateDepthToSpace(const DepthToSpaceQueueDescriptor& descriptor,
+ const WorkloadInfo& info) const override;
+
std::unique_ptr<IWorkload> CreateDepthwiseConvolution2d(const DepthwiseConvolution2dQueueDescriptor& descriptor,
const WorkloadInfo& info) const override;
diff --git a/src/backends/neon/backend.mk b/src/backends/neon/backend.mk
index 5eae9e5..3e46387 100644
--- a/src/backends/neon/backend.mk
+++ b/src/backends/neon/backend.mk
@@ -30,6 +30,7 @@
workloads/NeonConvertFp16ToFp32Workload.cpp \
workloads/NeonConvertFp32ToFp16Workload.cpp \
workloads/NeonConvolution2dWorkload.cpp \
+ workloads/NeonDepthToSpaceWorkload.cpp \
workloads/NeonDepthwiseConvolutionWorkload.cpp \
workloads/NeonDequantizeWorkload.cpp \
workloads/NeonFloorFloatWorkload.cpp \
diff --git a/src/backends/neon/test/NeonLayerTests.cpp b/src/backends/neon/test/NeonLayerTests.cpp
index dbd2d32..745d2ce 100644
--- a/src/backends/neon/test/NeonLayerTests.cpp
+++ b/src/backends/neon/test/NeonLayerTests.cpp
@@ -110,6 +110,37 @@
false,
armnn::DataLayout::NCHW)
+// DepthToSpace
+ARMNN_AUTO_TEST_CASE(DepthToSpaceNchwFloat32_1, DepthToSpaceTest1<DataType::Float32>, DataLayout::NCHW);
+ARMNN_AUTO_TEST_CASE(DepthToSpaceNchwFloat32_2, DepthToSpaceTest2<DataType::Float32>, DataLayout::NCHW);
+ARMNN_AUTO_TEST_CASE(DepthToSpaceNchwFloat32_3, DepthToSpaceTest3<DataType::Float32>, DataLayout::NCHW);
+ARMNN_AUTO_TEST_CASE(DepthToSpaceNchwFloat32_4, DepthToSpaceTest4<DataType::Float32>, DataLayout::NCHW);
+
+ARMNN_AUTO_TEST_CASE(DepthToSpaceNchwUint8_1, DepthToSpaceTest1<DataType::QuantisedAsymm8>, DataLayout::NCHW);
+ARMNN_AUTO_TEST_CASE(DepthToSpaceNchwUint8_2, DepthToSpaceTest2<DataType::QuantisedAsymm8>, DataLayout::NCHW);
+ARMNN_AUTO_TEST_CASE(DepthToSpaceNchwUint8_3, DepthToSpaceTest3<DataType::QuantisedAsymm8>, DataLayout::NCHW);
+ARMNN_AUTO_TEST_CASE(DepthToSpaceNchwUint8_4, DepthToSpaceTest4<DataType::QuantisedAsymm8>, DataLayout::NCHW);
+
+ARMNN_AUTO_TEST_CASE(DepthToSpaceNchwInt16_1, DepthToSpaceTest1<DataType::QuantisedSymm16>, DataLayout::NCHW);
+ARMNN_AUTO_TEST_CASE(DepthToSpaceNchwInt16_2, DepthToSpaceTest2<DataType::QuantisedSymm16>, DataLayout::NCHW);
+ARMNN_AUTO_TEST_CASE(DepthToSpaceNchwInt16_3, DepthToSpaceTest3<DataType::QuantisedSymm16>, DataLayout::NCHW);
+ARMNN_AUTO_TEST_CASE(DepthToSpaceNchwInt16_4, DepthToSpaceTest4<DataType::QuantisedSymm16>, DataLayout::NCHW);
+
+ARMNN_AUTO_TEST_CASE(DepthToSpaceNhwcFloat32_1, DepthToSpaceTest1<DataType::Float32>, DataLayout::NHWC);
+ARMNN_AUTO_TEST_CASE(DepthToSpaceNhwcFloat32_2, DepthToSpaceTest2<DataType::Float32>, DataLayout::NHWC);
+ARMNN_AUTO_TEST_CASE(DepthToSpaceNhwcFloat32_3, DepthToSpaceTest3<DataType::Float32>, DataLayout::NHWC);
+ARMNN_AUTO_TEST_CASE(DepthToSpaceNhwcFloat32_4, DepthToSpaceTest4<DataType::Float32>, DataLayout::NHWC);
+
+ARMNN_AUTO_TEST_CASE(DepthToSpaceNhwcUint8_1, DepthToSpaceTest1<DataType::QuantisedAsymm8>, DataLayout::NHWC);
+ARMNN_AUTO_TEST_CASE(DepthToSpaceNhwcUint8_2, DepthToSpaceTest2<DataType::QuantisedAsymm8>, DataLayout::NHWC);
+ARMNN_AUTO_TEST_CASE(DepthToSpaceNhwcUint8_3, DepthToSpaceTest3<DataType::QuantisedAsymm8>, DataLayout::NHWC);
+ARMNN_AUTO_TEST_CASE(DepthToSpaceNhwcUint8_4, DepthToSpaceTest4<DataType::QuantisedAsymm8>, DataLayout::NHWC);
+
+ARMNN_AUTO_TEST_CASE(DepthToSpaceNhwcInt16_1, DepthToSpaceTest1<DataType::QuantisedSymm16>, DataLayout::NHWC);
+ARMNN_AUTO_TEST_CASE(DepthToSpaceNhwcInt16_2, DepthToSpaceTest2<DataType::QuantisedSymm16>, DataLayout::NHWC);
+ARMNN_AUTO_TEST_CASE(DepthToSpaceNhwcInt16_3, DepthToSpaceTest3<DataType::QuantisedSymm16>, DataLayout::NHWC);
+ARMNN_AUTO_TEST_CASE(DepthToSpaceNhwcInt16_4, DepthToSpaceTest4<DataType::QuantisedSymm16>, DataLayout::NHWC);
+
// Depthwise Convolution
ARMNN_AUTO_TEST_CASE(DepthwiseConvolution2dDepthMul1,
DepthwiseConvolution2dDepthMul1Test, true, DataLayout::NCHW)
diff --git a/src/backends/neon/workloads/CMakeLists.txt b/src/backends/neon/workloads/CMakeLists.txt
index 9004391..42ac641 100644
--- a/src/backends/neon/workloads/CMakeLists.txt
+++ b/src/backends/neon/workloads/CMakeLists.txt
@@ -22,6 +22,8 @@
NeonConvertFp32ToFp16Workload.hpp
NeonConvolution2dWorkload.cpp
NeonConvolution2dWorkload.hpp
+ NeonDepthToSpaceWorkload.cpp
+ NeonDepthToSpaceWorkload.hpp
NeonDepthwiseConvolutionWorkload.cpp
NeonDepthwiseConvolutionWorkload.hpp
NeonDequantizeWorkload.cpp
diff --git a/src/backends/neon/workloads/NeonDepthToSpaceWorkload.cpp b/src/backends/neon/workloads/NeonDepthToSpaceWorkload.cpp
new file mode 100644
index 0000000..b30dfcd
--- /dev/null
+++ b/src/backends/neon/workloads/NeonDepthToSpaceWorkload.cpp
@@ -0,0 +1,61 @@
+//
+// Copyright © 2019 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "NeonDepthToSpaceWorkload.hpp"
+
+#include "NeonWorkloadUtils.hpp"
+
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+
+#include <boost/numeric/conversion/cast.hpp>
+#include <boost/polymorphic_pointer_cast.hpp>
+
+namespace armnn
+{
+
+using namespace armcomputetensorutils;
+
+arm_compute::Status NeonDepthToSpaceWorkloadValidate(const TensorInfo& input,
+ const TensorInfo& output,
+ const DepthToSpaceDescriptor& descriptor)
+{
+ DataLayout dataLayout = descriptor.m_DataLayout;
+ const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input, dataLayout);
+ const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output, dataLayout);
+
+ int32_t blockSize = boost::numeric_cast<int32_t>(descriptor.m_BlockSize);
+
+ return arm_compute::NEDepthToSpaceLayer::validate(&aclInput, &aclOutput, blockSize);
+}
+
+NeonDepthToSpaceWorkload::NeonDepthToSpaceWorkload(const DepthToSpaceQueueDescriptor& desc,
+ const WorkloadInfo& info)
+ : BaseWorkload<DepthToSpaceQueueDescriptor>(desc, info)
+{
+ m_Data.ValidateInputsOutputs("NeonDepthToSpaceWorkload", 1, 1);
+
+ arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
+
+ arm_compute::ITensor& input =
+ boost::polymorphic_pointer_downcast<IAclTensorHandle>(m_Data.m_Inputs[0])->GetTensor();
+ input.info()->set_data_layout(aclDataLayout);
+
+ int32_t blockSize = boost::numeric_cast<int32_t>(desc.m_Parameters.m_BlockSize);
+
+ arm_compute::ITensor& output =
+ boost::polymorphic_pointer_downcast<IAclTensorHandle>(m_Data.m_Outputs[0])->GetTensor();
+ output.info()->set_data_layout(aclDataLayout);
+
+ m_Layer.configure(&input, &output, blockSize);
+ m_Layer.prepare();
+}
+
+void NeonDepthToSpaceWorkload::Execute() const
+{
+ ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonDepthToSpaceWorkload_Execute");
+ m_Layer.run();
+}
+
+} // namespace armnn
diff --git a/src/backends/neon/workloads/NeonDepthToSpaceWorkload.hpp b/src/backends/neon/workloads/NeonDepthToSpaceWorkload.hpp
new file mode 100644
index 0000000..95b5e44
--- /dev/null
+++ b/src/backends/neon/workloads/NeonDepthToSpaceWorkload.hpp
@@ -0,0 +1,31 @@
+//
+// Copyright © 2019 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include <armnn/Descriptors.hpp>
+
+#include <backendsCommon/Workload.hpp>
+
+#include <arm_compute/runtime/NEON/functions/NEDepthToSpaceLayer.h>
+
+namespace armnn
+{
+
+arm_compute::Status NeonDepthToSpaceWorkloadValidate(const TensorInfo& input,
+ const TensorInfo& output,
+ const DepthToSpaceDescriptor& descriptor);
+
+class NeonDepthToSpaceWorkload : public BaseWorkload<DepthToSpaceQueueDescriptor>
+{
+public:
+ NeonDepthToSpaceWorkload(const DepthToSpaceQueueDescriptor& descriptor, const WorkloadInfo& info);
+ void Execute() const override;
+
+private:
+ mutable arm_compute::NEDepthToSpaceLayer m_Layer;
+};
+
+} // namespace armnn
diff --git a/src/backends/neon/workloads/NeonWorkloads.hpp b/src/backends/neon/workloads/NeonWorkloads.hpp
index 4f30f33..9d35ed4 100644
--- a/src/backends/neon/workloads/NeonWorkloads.hpp
+++ b/src/backends/neon/workloads/NeonWorkloads.hpp
@@ -12,6 +12,7 @@
#include "NeonConvertFp16ToFp32Workload.hpp"
#include "NeonConvertFp32ToFp16Workload.hpp"
#include "NeonConvolution2dWorkload.hpp"
+#include "NeonDepthToSpaceWorkload.hpp"
#include "NeonDepthwiseConvolutionWorkload.hpp"
#include "NeonDequantizeWorkload.hpp"
#include "NeonFloorFloatWorkload.hpp"