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|
//
// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include <armnn/Deprecated.hpp>
#include <armnn/Descriptors.hpp>
#include <armnn/Exceptions.hpp>
#include <armnn/Types.hpp>
#include <backendsCommon/LayerSupportBase.hpp>
#include <armnn/utility/IgnoreUnused.hpp>
namespace
{
bool DefaultLayerSupport(const char* func,
const char* file,
unsigned int line,
armnn::Optional<std::string&> reasonIfUnsupported)
{
// NOTE: We only need to return the reason if the optional parameter is not empty
if (reasonIfUnsupported)
{
std::stringstream message;
message << func << " is not implemented [" << file << ":" << line << "]";
reasonIfUnsupported.value() = message.str();
}
return false;
}
} // anonymous namespace
namespace armnn
{
bool LayerSupportBase::IsAbsSupported(const TensorInfo&, // input
const TensorInfo&, // output
Optional<std::string &> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsActivationSupported(const TensorInfo&, // input
const TensorInfo&, //output
const ActivationDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsAdditionSupported(const TensorInfo&, // input0
const TensorInfo&, // input1
const TensorInfo&, // output
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsArgMinMaxSupported(const armnn::TensorInfo&, // input
const armnn::TensorInfo&, // output
const armnn::ArgMinMaxDescriptor&, // descriptor
armnn::Optional<std::string &> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsBatchNormalizationSupported(const TensorInfo&, //input
const TensorInfo&, // output
const TensorInfo&, //mean
const TensorInfo&, //var
const TensorInfo&, //beta
const TensorInfo&, //gamma
const BatchNormalizationDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsBatchToSpaceNdSupported(const TensorInfo&, // input
const TensorInfo&, // output
const BatchToSpaceNdDescriptor&, //descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsComparisonSupported(const TensorInfo&, // input0
const TensorInfo&, // input1
const TensorInfo&, // output
const ComparisonDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsConcatSupported(const std::vector<const TensorInfo*>, // inputs
const TensorInfo&, // output
const OriginsDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsConstantSupported(const TensorInfo&, // output
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsConvertBf16ToFp32Supported(const TensorInfo&, // input
const TensorInfo&, // output
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsConvertFp16ToFp32Supported(const TensorInfo&, // input
const TensorInfo&, // output
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsConvertFp32ToBf16Supported(const TensorInfo&, // input
const TensorInfo&, // output
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsConvertFp32ToFp16Supported(const TensorInfo&, // input
const TensorInfo&, // output
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsConvolution2dSupported(const TensorInfo&, // input
const TensorInfo&, // output
const Convolution2dDescriptor&, // descriptor
const TensorInfo&, // weights
const Optional<TensorInfo>&, // biases
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsDebugSupported(const TensorInfo&, // input
const TensorInfo&, // output
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsDepthToSpaceSupported(const TensorInfo&, // input
const TensorInfo&, // output
const DepthToSpaceDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsDepthwiseConvolutionSupported(const TensorInfo&, //input
const TensorInfo&, //output
const DepthwiseConvolution2dDescriptor&, // descriptor
const TensorInfo&, // weights
const Optional<TensorInfo>&, // biases
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsDequantizeSupported(const TensorInfo&, // input
const TensorInfo&, // output
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsDetectionPostProcessSupported(const TensorInfo&, // boxEncodings
const TensorInfo&, // scores
const TensorInfo&, // anchors
const TensorInfo&, // detectionBoxes
const TensorInfo&, // detectionClasses
const TensorInfo&, // detectionScores
const TensorInfo&, // numDetections
const DetectionPostProcessDescriptor&, //descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsDilatedDepthwiseConvolutionSupported(const TensorInfo&, // input
const TensorInfo&, // output
const DepthwiseConvolution2dDescriptor&, // descriptor
const TensorInfo&,// weights
const Optional<TensorInfo>&, // biases
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsDivisionSupported(const TensorInfo&, // input0
const TensorInfo&, // input1
const TensorInfo&, // output
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsElementwiseUnarySupported(const TensorInfo& input,
const TensorInfo& output,
const ElementwiseUnaryDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
if (descriptor.m_Operation == UnaryOperation::Abs)
{
ARMNN_NO_DEPRECATE_WARN_BEGIN
return IsAbsSupported(input, output, reasonIfUnsupported);
ARMNN_NO_DEPRECATE_WARN_END
}
else if (descriptor.m_Operation == UnaryOperation::Rsqrt)
{
ARMNN_NO_DEPRECATE_WARN_BEGIN
return IsRsqrtSupported(input, output, reasonIfUnsupported);
ARMNN_NO_DEPRECATE_WARN_END
}
return false;
}
bool LayerSupportBase::IsEqualSupported(const armnn::TensorInfo&, // input0
const armnn::TensorInfo&, // input1
const armnn::TensorInfo&, // output
armnn::Optional<std::string &> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsFakeQuantizationSupported(const TensorInfo&, // input
const FakeQuantizationDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsFillSupported(const TensorInfo&, // input
const TensorInfo&, // output
const FillDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsFloorSupported(const TensorInfo&, // input
const TensorInfo&, // output
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsFullyConnectedSupported(const TensorInfo&, // input
const TensorInfo&, // output
const TensorInfo&, // weights
const TensorInfo&, // biases
const FullyConnectedDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsGatherSupported(const armnn::TensorInfo&, // input0
const armnn::TensorInfo&, // input1
const armnn::TensorInfo&, // output
armnn::Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsGatherSupported(const armnn::TensorInfo&, // input0
const armnn::TensorInfo&, // input1
const armnn::TensorInfo&, // output
const GatherDescriptor&, // descriptor
armnn::Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsGreaterSupported(const TensorInfo&, // input0
const TensorInfo&, // input1
const TensorInfo&, // output
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsInputSupported(const TensorInfo&, // input
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsInstanceNormalizationSupported(const TensorInfo&, // input
const TensorInfo&, // output
const InstanceNormalizationDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsL2NormalizationSupported(const TensorInfo&, // input
const TensorInfo&, // output
const L2NormalizationDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsLogSoftmaxSupported(const TensorInfo&, // input
const TensorInfo&, // output
const LogSoftmaxDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsLstmSupported(const TensorInfo&, // input
const TensorInfo&, // outputStateIn
const TensorInfo&, // cellStateIn
const TensorInfo&, // scratchBuffer
const TensorInfo&, // outputStateOut
const TensorInfo&, // cellStateOut
const TensorInfo&, // output
const LstmDescriptor&, // descriptor
const LstmInputParamsInfo&, // paramsInfo
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsMaximumSupported(const TensorInfo&, // input0
const TensorInfo&, // input1
const TensorInfo&, // output
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsMeanSupported(const TensorInfo&, // input
const TensorInfo&, // output
const MeanDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsMemCopySupported(const armnn::TensorInfo&, // input
const armnn::TensorInfo&, // output
armnn::Optional<std::string &> ) const // reasonIfUnsupported
{
return true;
}
bool LayerSupportBase::IsMemImportSupported(const armnn::TensorInfo&, // input
const armnn::TensorInfo&, // output
armnn::Optional<std::string &> ) const // reasonIfUnsupported
{
return true;
}
bool LayerSupportBase::IsMergeSupported(const TensorInfo&, // input0
const TensorInfo&, // input1
const TensorInfo&, // output
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsMergerSupported(const std::vector<const TensorInfo*> inputs,
const TensorInfo& output,
const OriginsDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
return IsConcatSupported(inputs, output, descriptor, reasonIfUnsupported);
}
bool LayerSupportBase::IsMinimumSupported(const TensorInfo&, // input0
const TensorInfo&, // input1
const TensorInfo&, // output
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsMultiplicationSupported(const TensorInfo&, // input0
const TensorInfo&, // input1
const TensorInfo&, // output
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsNormalizationSupported(const TensorInfo&, // input
const TensorInfo&, // output
const NormalizationDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsOutputSupported(const TensorInfo&, // output
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsPadSupported(const TensorInfo&, // input
const TensorInfo&, // output
const PadDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsPermuteSupported(const TensorInfo&, // input
const TensorInfo&, // output
const PermuteDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsPooling2dSupported(const TensorInfo&, // input
const TensorInfo&, // output
const Pooling2dDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsPreCompiledSupported(const TensorInfo&, // input
const PreCompiledDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsPreluSupported(const TensorInfo&, // input
const TensorInfo&, // alpha
const TensorInfo&, // output
Optional<std::string &> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsQuantizeSupported(const armnn::TensorInfo&, // input
const armnn::TensorInfo&, // output
armnn::Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsQLstmSupported(const TensorInfo&, // input
const TensorInfo&, // previousOutputIn
const TensorInfo&, // previousCellStateIn
const TensorInfo&, // outputStateOut
const TensorInfo&, // cellStateOut
const TensorInfo&, // output
const QLstmDescriptor&, // descriptor
const LstmInputParamsInfo&, // paramsInfo
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsQuantizedLstmSupported(const TensorInfo&, // input
const TensorInfo&, // previousCellStateIn
const TensorInfo&, // previousOutputIn
const TensorInfo&, // cellStateOut
const TensorInfo&, // output
const QuantizedLstmInputParamsInfo&, // paramsInfo
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsRankSupported(const TensorInfo&, // input
const TensorInfo&, // output
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsReshapeSupported(const TensorInfo&, // input
const TensorInfo&, // output
const ReshapeDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsResizeBilinearSupported(const TensorInfo&, // input
const TensorInfo&, // output
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsResizeSupported(const TensorInfo&, // input
const TensorInfo&, // output
const ResizeDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsRsqrtSupported(const TensorInfo&, // input
const TensorInfo&, // output
Optional<std::string &> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsSliceSupported(const TensorInfo&, // input
const TensorInfo&, // output
const SliceDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsSoftmaxSupported(const TensorInfo&, // input
const TensorInfo&, // output
const SoftmaxDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
/**/
bool LayerSupportBase::IsSpaceToBatchNdSupported(const TensorInfo&, // input
const TensorInfo&, // output
const SpaceToBatchNdDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsSpaceToDepthSupported(const TensorInfo&, // input
const TensorInfo&, // output
const SpaceToDepthDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsSplitterSupported(const TensorInfo&, // input
const ViewsDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsSplitterSupported(const TensorInfo&, // input
const std::vector<std::reference_wrapper<TensorInfo>>&, // outputs
const ViewsDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsStackSupported(const std::vector<const TensorInfo*>&, // inputs
const TensorInfo&, // output
const StackDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsStandInSupported(const std::vector<const TensorInfo*>&, // inputs
const std::vector<const TensorInfo*>&, // outputs
const StandInDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
if (reasonIfUnsupported)
{
std::stringstream message;
message << "StandIn layer is not executable via backends";
reasonIfUnsupported.value() = message.str();
}
return false;
}
bool LayerSupportBase::IsStridedSliceSupported(const TensorInfo&, // input
const TensorInfo&, // output
const StridedSliceDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsSubtractionSupported(const TensorInfo&, // input0
const TensorInfo&, // input1
const TensorInfo&, // output
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsSwitchSupported(const TensorInfo&, // input0
const TensorInfo&, // input1
const TensorInfo&, // output0
const TensorInfo&, // output1
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsTransposeConvolution2dSupported(const TensorInfo&, // input
const TensorInfo&, // output
const TransposeConvolution2dDescriptor&, // descriptor
const TensorInfo&, // weights
const Optional<TensorInfo>&, // biases
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
bool LayerSupportBase::IsTransposeSupported(const TensorInfo&, // input
const TensorInfo&, // output
const TransposeDescriptor&, // descriptor
Optional<std::string&> reasonIfUnsupported) const
{
return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
} // namespace armnn
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