blob: 80997827501388be589349a3b673a0013d1dadd8 [file] [log] [blame]
//
// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include <armnn/Types.hpp>
#include <armnn/utility/PolymorphicDowncast.hpp>
#include <armnn/Tensor.hpp>
#include <armnn/backends/ILayerSupport.hpp>
#include <armnn/utility/IgnoreUnused.hpp>
namespace armnn
{
ARMNN_NO_DEPRECATE_WARN_BEGIN
// IsLayerSupported() forwards to the deprecated virtual methods depending on input LayerType.
// Allows backends continue to behave as before maintaining backward compatibility.
bool ILayerSupport::IsLayerSupported(const LayerType& type,
const std::vector<TensorInfo>& infos,
const BaseDescriptor& descriptor,
const Optional<LstmInputParamsInfo>& lstmParamsInfo,
const Optional<QuantizedLstmInputParamsInfo>& quantizedLstmParamsInfo,
Optional<std::string&> reasonIfUnsupported) const
{
switch (type)
{
case LayerType::Activation:
return IsActivationSupported(infos[0],
infos[1],
*(PolymorphicDowncast<const ActivationDescriptor*>(&descriptor)),
reasonIfUnsupported);
case LayerType::Addition:
return IsAdditionSupported(infos[0],
infos[1],
infos[2],
reasonIfUnsupported);
case LayerType::ArgMinMax:
return IsArgMinMaxSupported(infos[0],
infos[1],
*(PolymorphicDowncast<const ArgMinMaxDescriptor*>(&descriptor)),
reasonIfUnsupported);
case LayerType::BatchNormalization:
return IsBatchNormalizationSupported(infos[0],
infos[1],
infos[2],
infos[3],
infos[4],
infos[5],
*(PolymorphicDowncast<const BatchNormalizationDescriptor*>
(&descriptor)),
reasonIfUnsupported);
case LayerType::BatchToSpaceNd:
return IsBatchToSpaceNdSupported(infos[0],
infos[1],
*(PolymorphicDowncast<const BatchToSpaceNdDescriptor*>(&descriptor)),
reasonIfUnsupported);
case LayerType::Comparison:
{
return IsComparisonSupported(infos[0],
infos[1],
infos[2],
*(PolymorphicDowncast<const ComparisonDescriptor*>(&descriptor)),
reasonIfUnsupported);
}
case LayerType::Concat:
{
std::vector<const TensorInfo*> inputInfos;
for (uint32_t i = 0; i < (infos.size() - 1); i++)
{
inputInfos.push_back(&infos[i]);
}
return IsConcatSupported(inputInfos,
infos[infos.size() - 1],
*(PolymorphicDowncast<const OriginsDescriptor*>(&descriptor)),
reasonIfUnsupported);
}
case LayerType::Constant:
return IsConstantSupported(infos[0],
reasonIfUnsupported);
case LayerType::ConvertBf16ToFp32:
return IsConvertBf16ToFp32Supported(infos[0],
infos[1],
reasonIfUnsupported);
case LayerType::ConvertFp16ToFp32:
return IsConvertFp16ToFp32Supported(infos[0],
infos[1],
reasonIfUnsupported);
case LayerType::ConvertFp32ToBf16:
return IsConvertFp32ToBf16Supported(infos[0],
infos[1],
reasonIfUnsupported);
case LayerType::ConvertFp32ToFp16:
return IsConvertFp32ToFp16Supported(infos[0],
infos[1],
reasonIfUnsupported);
case LayerType::Convolution2d:
{
if (infos.size() != 4)
{
throw InvalidArgumentException("Invalid number of Convolution2d "
"TensorInfos. TensorInfos should be of format: "
"{input, output, weights, biases}.");
}
auto desc = *(PolymorphicDowncast<const Convolution2dDescriptor*>(&descriptor));
if (infos[3] == TensorInfo())
{
return IsConvolution2dSupported(infos[0],
infos[1],
desc,
infos[2],
EmptyOptional(),
reasonIfUnsupported);
}
else
{
return IsConvolution2dSupported(infos[0],
infos[1],
desc,
infos[2],
infos[3],
reasonIfUnsupported);
}
}
case LayerType::Debug:
return IsDebugSupported(infos[0],
infos[1],
reasonIfUnsupported);
case LayerType::DepthToSpace:
return IsDepthToSpaceSupported(infos[0],
infos[1],
*(PolymorphicDowncast<const DepthToSpaceDescriptor*>(&descriptor)),
reasonIfUnsupported);
case LayerType::DepthwiseConvolution2d:
{
if (infos.size() != 4)
{
throw InvalidArgumentException("Invalid number of DepthwiseConvolution2d "
"TensorInfos. TensorInfos should be of format: "
"{input, output, weights, biases}.");
}
auto desc = *(PolymorphicDowncast<const DepthwiseConvolution2dDescriptor*>(&descriptor));
if (infos[3] == TensorInfo())
{
return IsDepthwiseConvolutionSupported(infos[0],
infos[1],
desc,
infos[2],
EmptyOptional(),
reasonIfUnsupported);
}
else
{
return IsDepthwiseConvolutionSupported(infos[0],
infos[1],
desc,
infos[2],
infos[3],
reasonIfUnsupported);
}
}
case LayerType::Dequantize:
return IsDequantizeSupported(infos[0],
infos[1],
reasonIfUnsupported);
case LayerType::DetectionPostProcess:
return IsDetectionPostProcessSupported(infos[0],
infos[1],
infos[2],
infos[3],
infos[4],
infos[5],
infos[6],
*(PolymorphicDowncast<const DetectionPostProcessDescriptor*>
(&descriptor)),
reasonIfUnsupported);
case LayerType::Division:
return IsDivisionSupported(infos[0],
infos[1],
infos[2],
reasonIfUnsupported);
case LayerType::ElementwiseUnary:
return IsElementwiseUnarySupported(infos[0],
infos[1],
*(PolymorphicDowncast<const ElementwiseUnaryDescriptor*>
(&descriptor)),
reasonIfUnsupported);
case LayerType::FakeQuantization:
return IsFakeQuantizationSupported(infos[0],
*(PolymorphicDowncast<const FakeQuantizationDescriptor*>
(&descriptor)),
reasonIfUnsupported);
case LayerType::Fill:
return IsFillSupported(infos[0],
infos[1],
*(PolymorphicDowncast<const FillDescriptor*>(&descriptor)),
reasonIfUnsupported);
case LayerType::Floor:
return IsFloorSupported(infos[0], infos[1], reasonIfUnsupported);
case LayerType::FullyConnected:
return IsFullyConnectedSupported(infos[0],
infos[1],
infos[2],
infos[3],
*(PolymorphicDowncast<const FullyConnectedDescriptor*>(&descriptor)),
reasonIfUnsupported);
case LayerType::Gather:
return IsGatherSupported(infos[0],
infos[1],
infos[2],
*(PolymorphicDowncast<const GatherDescriptor*>(&descriptor)),
reasonIfUnsupported);
case LayerType::Input:
return IsInputSupported(infos[0], reasonIfUnsupported);
case LayerType::InstanceNormalization:
return IsInstanceNormalizationSupported(infos[0],
infos[1],
*(PolymorphicDowncast<const InstanceNormalizationDescriptor*>
(&descriptor)),
reasonIfUnsupported);
case LayerType::L2Normalization:
return IsL2NormalizationSupported(infos[0],
infos[1],
*(PolymorphicDowncast<const L2NormalizationDescriptor*>
(&descriptor)),
reasonIfUnsupported);
case LayerType::LogicalBinary:
return IsLogicalBinarySupported(infos[0],
infos[1],
infos[2],
*(PolymorphicDowncast<const LogicalBinaryDescriptor*>(&descriptor)),
reasonIfUnsupported);
case LayerType::LogSoftmax:
return IsLogSoftmaxSupported(infos[0],
infos[1],
*(PolymorphicDowncast<const LogSoftmaxDescriptor*>(&descriptor)),
reasonIfUnsupported);
case LayerType::Lstm:
return IsLstmSupported(infos[0],
infos[1],
infos[2],
infos[3],
infos[4],
infos[5],
infos[6],
*(PolymorphicDowncast<const LstmDescriptor*>(&descriptor)),
lstmParamsInfo.value(),
reasonIfUnsupported);
case LayerType::QLstm:
return IsQLstmSupported(infos[0],
infos[1],
infos[2],
infos[3],
infos[4],
infos[5],
*(PolymorphicDowncast<const QLstmDescriptor*>(&descriptor)),
lstmParamsInfo.value(),
reasonIfUnsupported);
case LayerType::Map:
return true;
case LayerType::Maximum:
return IsMaximumSupported(infos[0],
infos[1],
infos[2],
reasonIfUnsupported);
case LayerType::Mean:
return IsMeanSupported(infos[0],
infos[1],
*(PolymorphicDowncast<const MeanDescriptor*>(&descriptor)),
reasonIfUnsupported);
case LayerType::MemCopy:
return IsMemCopySupported(std::move(infos[0]),
std::move(infos[1]),
reasonIfUnsupported);
case LayerType::MemImport:
return IsMemImportSupported(infos[0],
infos[1],
reasonIfUnsupported);
case LayerType::Merge:
return IsMergeSupported(infos[0],
infos[1],
infos[2],
reasonIfUnsupported);
case LayerType::Minimum:
return IsMinimumSupported(infos[0],
infos[1],
infos[2],
reasonIfUnsupported);
case LayerType::Multiplication:
return IsMultiplicationSupported(infos[0],
infos[1],
infos[2],
reasonIfUnsupported);
case LayerType::Normalization:
return IsNormalizationSupported(infos[0],
infos[1],
*(PolymorphicDowncast<const NormalizationDescriptor*>(&descriptor)),
reasonIfUnsupported);
case LayerType::Output:
return IsOutputSupported(infos[0], reasonIfUnsupported);
case LayerType::Pad:
return IsPadSupported(infos[0],
infos[1],
*(PolymorphicDowncast<const PadDescriptor*>(&descriptor)),
reasonIfUnsupported);
case LayerType::Permute:
return IsPermuteSupported(infos[0],
infos[1],
*(PolymorphicDowncast<const PermuteDescriptor*>(&descriptor)),
reasonIfUnsupported);
case LayerType::Pooling2d:
return IsPooling2dSupported(infos[0],
infos[1],
*(PolymorphicDowncast<const Pooling2dDescriptor*>(&descriptor)),
reasonIfUnsupported);
case LayerType::PreCompiled:
return IsPreCompiledSupported(infos[0],
*(PolymorphicDowncast<const PreCompiledDescriptor*>(&descriptor)),
reasonIfUnsupported);
case LayerType::Prelu:
return IsPreluSupported(infos[0],
infos[1],
infos[2],
reasonIfUnsupported);
case LayerType::Quantize:
return IsQuantizeSupported(infos[0],
infos[1],
reasonIfUnsupported);
case LayerType::QuantizedLstm:
return IsQuantizedLstmSupported(infos[0],
infos[1],
infos[2],
infos[3],
infos[4],
quantizedLstmParamsInfo.value(),
reasonIfUnsupported);
case LayerType::Reshape:
return IsReshapeSupported(infos[0],
infos[1],
*(PolymorphicDowncast<const ReshapeDescriptor*>(&descriptor)),
reasonIfUnsupported);
case LayerType::Rank:
return IsRankSupported(infos[0], infos[1], reasonIfUnsupported);
case LayerType::Resize:
return IsResizeSupported(infos[0],
infos[1],
*(PolymorphicDowncast<const ResizeDescriptor*>(&descriptor)),
reasonIfUnsupported);
case LayerType::Reduce:
return IsReduceSupported(infos[0],
infos[1],
*(PolymorphicDowncast<const ReduceDescriptor*>(&descriptor)),
reasonIfUnsupported);
case LayerType::Slice:
return IsSliceSupported(infos[0],
infos[1],
*(PolymorphicDowncast<const SliceDescriptor*>(&descriptor)),
reasonIfUnsupported);
case LayerType::Softmax:
return IsSoftmaxSupported(infos[0],
infos[1],
*(PolymorphicDowncast<const SoftmaxDescriptor*>(&descriptor)),
reasonIfUnsupported);
case LayerType::SpaceToBatchNd:
return IsSpaceToBatchNdSupported(infos[0],
infos[1],
*(PolymorphicDowncast<const SpaceToBatchNdDescriptor*>(&descriptor)),
reasonIfUnsupported);
case LayerType::SpaceToDepth:
return IsSpaceToDepthSupported(infos[0],
infos[1],
*(PolymorphicDowncast<const SpaceToDepthDescriptor*>(&descriptor)),
reasonIfUnsupported);
case LayerType::Splitter:
{
std::vector<TensorInfo> outputInfos;
for (uint32_t i = 1; i < infos.size(); i++)
{
outputInfos.push_back(infos[i]);
}
return IsSplitterSupported(infos[0],
{outputInfos.begin(), outputInfos.end()},
*(PolymorphicDowncast<const ViewsDescriptor*>(&descriptor)),
reasonIfUnsupported);
}
case LayerType::Stack:
{
std::vector<const TensorInfo*> inputInfos;
for (uint32_t i = 0; i < infos.size() - 1; i++)
{
inputInfos.push_back(&infos[i]);
}
return IsStackSupported(inputInfos,
infos[infos.size() - 1],
*(PolymorphicDowncast<const StackDescriptor*>(&descriptor)),
reasonIfUnsupported);
}
case LayerType::StandIn:
{
auto desc = *(PolymorphicDowncast<const StandInDescriptor*>(&descriptor));
if (infos.size() != (desc.m_NumInputs + desc.m_NumOutputs))
{
throw InvalidArgumentException("Number of StandIn layer TensorInfos does not equal "
"the combined number of input and output slots assigned "
"to the StandIn descriptor");
}
std::vector<const TensorInfo*> inputInfos;
for (uint32_t i = 0; i < desc.m_NumInputs; i++)
{
inputInfos.push_back(&infos[i]);
}
std::vector<const TensorInfo*> outputInfos;
for (uint32_t i = desc.m_NumInputs; i < infos.size(); i++)
{
outputInfos.push_back(&infos[i]);
}
return IsStandInSupported(inputInfos,
outputInfos,
desc,
reasonIfUnsupported);
}
case LayerType::StridedSlice:
return IsStridedSliceSupported(infos[0],
infos[1],
*(PolymorphicDowncast<const StridedSliceDescriptor*>(&descriptor)),
reasonIfUnsupported);
case LayerType::Subtraction:
return IsSubtractionSupported(infos[0],
infos[1],
infos[2],
reasonIfUnsupported);
case LayerType::Switch:
return IsSwitchSupported(infos[0],
infos[1],
infos[2],
infos[3],
reasonIfUnsupported);
case LayerType::Transpose:
return IsTransposeSupported(infos[0],
infos[1],
*(PolymorphicDowncast<const TransposeDescriptor*>(&descriptor)),
reasonIfUnsupported);
case LayerType::TransposeConvolution2d:
{
if (infos.size() != 4)
{
throw InvalidArgumentException("Invalid number of TransposeConvolution2d "
"TensorInfos. TensorInfos should be of format: "
"{input, output, weights, biases}.");
}
auto desc = *(PolymorphicDowncast<const TransposeConvolution2dDescriptor*>(&descriptor));
if (infos[3] == TensorInfo())
{
return IsTransposeConvolution2dSupported(infos[0],
infos[1],
desc,
infos[2],
EmptyOptional(),
reasonIfUnsupported);
}
else
{
return IsTransposeConvolution2dSupported(infos[0],
infos[1],
desc,
infos[2],
infos[3],
reasonIfUnsupported);
}
}
case LayerType::Unmap:
return true;
case LayerType::Cast:
return IsCastSupported(infos[0], infos[1], reasonIfUnsupported);
case LayerType::Shape:
return IsShapeSupported(infos[0], infos[1], reasonIfUnsupported);
case LayerType::UnidirectionalSequenceLstm:
{
if (infos.size() != 6)
{
throw InvalidArgumentException("Invalid number of TransposeConvolution2d TensorInfos. TensorInfos "
"should be of format: {input, outputStateIn, cellStateIn, "
"hiddenStateOutputVal, cellStateOutputVal, output}");
}
auto desc = *(PolymorphicDowncast<const UnidirectionalSequenceLstmDescriptor*>(&descriptor));
return IsUnidirectionalSequenceLstmSupported(infos[0],
infos[1],
infos[2],
infos[3],
infos[4],
infos[5],
desc,
lstmParamsInfo.value(),
reasonIfUnsupported);
}
case LayerType::ChannelShuffle:
return IsChannelShuffleSupported(infos[0],
infos[1],
*(PolymorphicDowncast<const ChannelShuffleDescriptor*>(&descriptor)),
reasonIfUnsupported);
case LayerType::Convolution3d:
{
if (infos.size() != 4)
{
throw InvalidArgumentException("Invalid number of Convolution3d "
"TensorInfos. TensorInfos should be of format: "
"{input, output, weights, biases}.");
}
auto desc = *(PolymorphicDowncast<const Convolution3dDescriptor*>(&descriptor));
if (infos[3] == TensorInfo())
{
return IsConvolution3dSupported(infos[0],
infos[1],
desc,
infos[2],
EmptyOptional(),
reasonIfUnsupported);
}
else
{
return IsConvolution3dSupported(infos[0],
infos[1],
desc,
infos[2],
infos[3],
reasonIfUnsupported);
}
}
case LayerType::Pooling3d:
return IsPooling3dSupported(infos[0],
infos[1],
*(PolymorphicDowncast<const Pooling3dDescriptor*>(&descriptor)),
reasonIfUnsupported);
default:
return false;
}
}
bool ILayerSupport::IsActivationSupported(const TensorInfo& input,
const TensorInfo& output,
const ActivationDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsAdditionSupported(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input0, input1, output, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsArgMinMaxSupported(const TensorInfo& input,
const TensorInfo& output,
const ArgMinMaxDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::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
{
IgnoreUnused(input, output, mean, var, beta, gamma, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsBatchToSpaceNdSupported(const TensorInfo& input,
const TensorInfo& output,
const BatchToSpaceNdDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsCastSupported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsChannelShuffleSupported(const TensorInfo& input,
const TensorInfo& output,
const ChannelShuffleDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsComparisonSupported(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
const ComparisonDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input0, input1, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsConcatSupported(const std::vector<const TensorInfo*> inputs,
const TensorInfo& output,
const OriginsDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(inputs, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsConstantSupported(const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(output, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsConvertBf16ToFp32Supported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsConvertFp32ToBf16Supported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsConvertFp16ToFp32Supported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsConvertFp32ToFp16Supported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsConvolution2dSupported(const TensorInfo& input,
const TensorInfo& output,
const Convolution2dDescriptor& descriptor,
const TensorInfo& weights,
const Optional<TensorInfo>& biases,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, weights, biases, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsConvolution3dSupported(const TensorInfo& input,
const TensorInfo& output,
const Convolution3dDescriptor& descriptor,
const TensorInfo& weights,
const Optional<TensorInfo>& biases,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, weights, biases, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsDebugSupported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsDepthToSpaceSupported(const TensorInfo& input,
const TensorInfo& output,
const DepthToSpaceDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsDepthwiseConvolutionSupported(
const TensorInfo& input,
const TensorInfo& output,
const DepthwiseConvolution2dDescriptor& descriptor,
const TensorInfo& weights,
const Optional<TensorInfo>& biases,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input,
output,
descriptor,
weights,
biases,
reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsDequantizeSupported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, reasonIfUnsupported);
return false;
}
bool ILayerSupport::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
{
IgnoreUnused(boxEncodings,
scores,
anchors,
detectionBoxes,
detectionClasses,
detectionScores,
numDetections,
descriptor,
reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsDilatedDepthwiseConvolutionSupported(
const TensorInfo& input,
const TensorInfo& output,
const DepthwiseConvolution2dDescriptor& descriptor,
const TensorInfo& weights,
const Optional<TensorInfo>& biases,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, weights, biases, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsDivisionSupported(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input0, input1, output, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsElementwiseUnarySupported(const TensorInfo& input,
const TensorInfo& output,
const ElementwiseUnaryDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsFakeQuantizationSupported(const TensorInfo& input,
const FakeQuantizationDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsFillSupported(const TensorInfo& input,
const TensorInfo& output,
const FillDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsFloorSupported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsFullyConnectedSupported(const TensorInfo& input,
const TensorInfo& output,
const TensorInfo& weights,
const TensorInfo& biases,
const FullyConnectedDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, weights, biases, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsGatherSupported(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
const GatherDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input0, input1, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsInputSupported(const TensorInfo& input,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsInstanceNormalizationSupported(
const TensorInfo& input,
const TensorInfo& output,
const InstanceNormalizationDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsL2NormalizationSupported(const TensorInfo& input,
const TensorInfo& output,
const L2NormalizationDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsLogicalBinarySupported(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
const LogicalBinaryDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input0, input1, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsLogicalUnarySupported(const TensorInfo& input,
const TensorInfo& output,
const ElementwiseUnaryDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsLogSoftmaxSupported(const TensorInfo& input,
const TensorInfo& output,
const LogSoftmaxDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::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
{
IgnoreUnused(input,
outputStateIn,
cellStateIn,
scratchBuffer,
outputStateOut,
cellStateOut,
output,
descriptor,
paramsInfo,
reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsMaximumSupported(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input0, input1, output, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsMeanSupported(const TensorInfo& input,
const TensorInfo& output,
const MeanDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsMemCopySupported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsMemImportSupported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsMergeSupported(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input0, input1, output, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsMinimumSupported(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input0, input1, output, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsMultiplicationSupported(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input0, input1, output, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsNormalizationSupported(const TensorInfo& input,
const TensorInfo& output,
const NormalizationDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsOutputSupported(const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(output, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsPadSupported(const TensorInfo& input,
const TensorInfo& output,
const PadDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsPermuteSupported(const TensorInfo& input,
const TensorInfo& output,
const PermuteDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsPooling2dSupported(const TensorInfo& input,
const TensorInfo& output,
const Pooling2dDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsPooling3dSupported(const TensorInfo& input,
const TensorInfo& output,
const Pooling3dDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsPreCompiledSupported(const TensorInfo& input,
const PreCompiledDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsPreluSupported(const TensorInfo& input,
const TensorInfo& alpha,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, alpha, output, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsQuantizeSupported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, reasonIfUnsupported);
return false;
}
bool ILayerSupport::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
{
IgnoreUnused(input,
previousOutputIn,
previousCellStateIn,
outputStateOut,
cellStateOut,
output,
descriptor,
paramsInfo,
reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsQuantizedLstmSupported(const TensorInfo& input,
const TensorInfo& previousCellStateIn,
const TensorInfo& previousOutputIn,
const TensorInfo& cellStateOut,
const TensorInfo& output,
const QuantizedLstmInputParamsInfo& paramsInfo,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input,
previousCellStateIn,
previousOutputIn,
cellStateOut,
output,
paramsInfo,
reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsRankSupported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsReduceSupported(const TensorInfo& input,
const TensorInfo& output,
const ReduceDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsReshapeSupported(const TensorInfo& input,
const TensorInfo& output,
const ReshapeDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsResizeSupported(const TensorInfo& input,
const TensorInfo& output,
const ResizeDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsShapeSupported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsSliceSupported(const TensorInfo& input,
const TensorInfo& output,
const SliceDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsSoftmaxSupported(const TensorInfo& input,
const TensorInfo& output,
const SoftmaxDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsSpaceToBatchNdSupported(const TensorInfo& input,
const TensorInfo& output,
const SpaceToBatchNdDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsSpaceToDepthSupported(const TensorInfo& input,
const TensorInfo& output,
const SpaceToDepthDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsSplitterSupported(const TensorInfo& input,
const std::vector<std::reference_wrapper<TensorInfo>>& outputs,
const ViewsDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, outputs, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsStackSupported(const std::vector<const TensorInfo*>& inputs,
const TensorInfo& output,
const StackDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(inputs, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsStandInSupported(const std::vector<const TensorInfo*>& inputs,
const std::vector<const TensorInfo*>& outputs,
const StandInDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(inputs, outputs, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsStridedSliceSupported(const TensorInfo& input,
const TensorInfo& output,
const StridedSliceDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsSubtractionSupported(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input0, input1, output, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsSwitchSupported(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output0,
const TensorInfo& output1,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input0, input1, output0, output1, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsTransposeConvolution2dSupported(
const TensorInfo& input,
const TensorInfo& output,
const TransposeConvolution2dDescriptor& descriptor,
const TensorInfo& weights,
const Optional<TensorInfo>& biases,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, weights, biases, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsTransposeSupported(const TensorInfo& input,
const TensorInfo& output,
const TransposeDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input, output, descriptor, reasonIfUnsupported);
return false;
}
bool ILayerSupport::IsUnidirectionalSequenceLstmSupported(
const TensorInfo& input,
const TensorInfo& outputStateIn,
const TensorInfo& cellStateIn,
const TensorInfo& outputStateOut,
const TensorInfo& cellStateOut,
const TensorInfo& output,
const LstmDescriptor& descriptor,
const LstmInputParamsInfo& paramsInfo,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(input,
outputStateIn,
cellStateIn,
outputStateOut,
cellStateOut,
output,
descriptor,
paramsInfo,
reasonIfUnsupported);
return false;
}
ARMNN_NO_DEPRECATE_WARN_END
}