blob: a93d986e4d07772163767b4103c8cb1dc5824574 [file] [log] [blame]
//
// Copyright © 2021-2024 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include "TensorHandle.hpp"
#include <armnn/Deprecated.hpp>
#include <armnn/Descriptors.hpp>
#include <armnn/Exceptions.hpp>
#include <armnn/Types.hpp>
#include <armnn/Tensor.hpp>
#include <common/include/ProfilingGuid.hpp>
namespace armnn
{
//A helper function that returns the bias data type required for given input data type.
DataType GetBiasDataType(DataType inputDataType);
struct WorkloadInfo;
struct QueueDescriptor
{
std::vector<ITensorHandle*> m_Inputs;
std::vector<ITensorHandle*> m_Outputs;
void* m_AdditionalInfoObject;
virtual ~QueueDescriptor() = default;
void ValidateTensorNumDimensions(const TensorInfo& tensor,
std::string const& descName,
unsigned int numDimensions,
std::string const& tensorName) const;
void ValidateTensorNumDimNumElem(const TensorInfo& tensorInfo,
unsigned int numDimension,
unsigned int numElements,
std::string const& tensorName) const;
void ValidateInputsOutputs(const std::string& descName,
unsigned int numExpectedIn,
unsigned int numExpectedOut) const;
template<typename T>
const T* GetAdditionalInformation() const
{
return static_cast<T*>(m_AdditionalInfoObject);
}
bool m_AllowExpandedDims = false;
protected:
QueueDescriptor()
: m_AdditionalInfoObject(nullptr)
{}
QueueDescriptor(QueueDescriptor const&) = default;
QueueDescriptor& operator=(QueueDescriptor const&) = default;
};
// Base class for queue descriptors which contain parameters.
template <typename LayerDescriptor>
struct QueueDescriptorWithParameters : public QueueDescriptor
{
LayerDescriptor m_Parameters;
virtual ~QueueDescriptorWithParameters() = default;
protected:
QueueDescriptorWithParameters() = default;
QueueDescriptorWithParameters(QueueDescriptorWithParameters const&) = default;
QueueDescriptorWithParameters& operator=(QueueDescriptorWithParameters const&) = default;
};
struct MapQueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct UnmapQueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct MemCopyQueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
using InputQueueDescriptor = MemCopyQueueDescriptor;
using OutputQueueDescriptor = MemCopyQueueDescriptor;
struct MemImportQueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct MemSyncQueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
// Softmax layer workload data.
struct SoftmaxQueueDescriptor : QueueDescriptorWithParameters<SoftmaxDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
// Splitter layer workload data.
struct SplitterQueueDescriptor : QueueDescriptorWithParameters<ViewsDescriptor>
{
struct ViewOrigin
{
ViewOrigin() {}
ViewOrigin(std::vector<unsigned int> const& origin) : m_Origin(origin) {}
//View origin (size of the vector is the same as number of dimensions of the view).
std::vector<unsigned int> m_Origin;
};
//View defines a tensor that will be carved from the input tensor.
//View origins are stored here, the extents are defined by sizes of the output tensors.
std::vector<ViewOrigin> m_ViewOrigins;
void Validate(const WorkloadInfo& workloadInfo) const;
};
// Concat layer workload data.
struct ConcatQueueDescriptor : QueueDescriptorWithParameters<OriginsDescriptor>
{
struct ViewOrigin
{
ViewOrigin() {}
ViewOrigin(const std::vector<unsigned int>& origin) : m_Origin(origin) {}
//View origin (size of the vector is the same as number of dimensions of the view).
std::vector<unsigned int> m_Origin;
};
//View defines a sub-area of the output tensor that will be filled with the corresponding input tensor.
//View origins are stored here, the extents are defined by sizes of the input tensors.
std::vector<ViewOrigin> m_ViewOrigins;
void Validate(const WorkloadInfo& workloadInfo) const;
};
// Deprecated. Use ConcatQueueDescriptor instead
using MergerQueueDescriptor = ConcatQueueDescriptor;
// Stack layer workload data.
struct StackQueueDescriptor : QueueDescriptorWithParameters<StackDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
// Activation layer workload data.
struct ActivationQueueDescriptor : QueueDescriptorWithParameters<ActivationDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct ArgMinMaxQueueDescriptor : QueueDescriptorWithParameters<ArgMinMaxDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct CastQueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
// Fill layer workload data.
struct FillQueueDescriptor : QueueDescriptorWithParameters<FillDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
// Fully connected layer workload data.
struct FullyConnectedQueueDescriptor : QueueDescriptorWithParameters<FullyConnectedDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct FusedQueueDescriptor : QueueDescriptorWithParameters<FusedDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
// Permute layer workload data.
struct PermuteQueueDescriptor : QueueDescriptorWithParameters<PermuteDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
// Pooling 2D layer workload data.
struct Pooling2dQueueDescriptor : QueueDescriptorWithParameters<Pooling2dDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
// Pooling 3D layer workload data.
struct Pooling3dQueueDescriptor : QueueDescriptorWithParameters<Pooling3dDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
// Convolution 2D layer workload data.
struct Convolution2dQueueDescriptor : QueueDescriptorWithParameters<Convolution2dDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
// Convolution 3D layer workload data.
struct Convolution3dQueueDescriptor : QueueDescriptorWithParameters<Convolution3dDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
/// Depthwise Convolution 2D layer workload data.
///
/// @note
/// The weights are in the format [1, H, W, I*M]. Where I is the input channel size, M the depthwise mutliplier and
/// H, W is the height and width of the filter kernel. If per channel quantization is applied
/// the weights will be quantized along the last dimension/axis (I*M) which corresponds to the output channel size.
/// If per channel quantization is applied the weights tensor will have I*M scales, one for each dimension
/// of the quantization axis. You have to be aware of this when reshaping the weights tensor.
/// Splitting the I*M axis, e.g. [1, H, W, I*M] --> [H, W, I, M], won't work without taking care of the
/// corresponding quantization scales.
/// If there is no per channel quantization applied reshaping the weights tensor won't cause any issues. There are
/// preconfigured permutation functions available @link WorkloadUtils.hpp here.
///
struct DepthwiseConvolution2dQueueDescriptor : QueueDescriptorWithParameters<DepthwiseConvolution2dDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct DetectionPostProcessQueueDescriptor : QueueDescriptorWithParameters<DetectionPostProcessDescriptor>
{
DetectionPostProcessQueueDescriptor()
: m_Anchors(nullptr)
{
}
const ConstTensorHandle* m_Anchors;
void Validate(const WorkloadInfo& workloadInfo) const;
};
// Normalization layer workload data.
struct NormalizationQueueDescriptor : QueueDescriptorWithParameters<NormalizationDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
// Add layer workload data.
struct AdditionQueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
// Multiplication layer workload data.
struct MultiplicationQueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
// Division layer workload data.
struct DivisionQueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
// Subtraction layer workload data.
struct SubtractionQueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
// Maximum layer workload data.
struct MaximumQueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
// Mean layer workload data.
struct MeanQueueDescriptor : QueueDescriptorWithParameters<MeanDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
// Pad layer workload data
struct PadQueueDescriptor : QueueDescriptorWithParameters<PadDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct QuantizeQueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
// Deprecated use ComparisonQueueDescriptor instead
struct EqualQueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
// Batch norm layer workload data.
struct BatchNormalizationQueueDescriptor : QueueDescriptorWithParameters<BatchNormalizationDescriptor>
{
BatchNormalizationQueueDescriptor()
: m_Mean(nullptr)
, m_Variance(nullptr)
, m_Beta(nullptr)
, m_Gamma(nullptr)
{
}
const ConstTensorHandle* m_Mean;
const ConstTensorHandle* m_Variance;
const ConstTensorHandle* m_Beta;
const ConstTensorHandle* m_Gamma;
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct RankQueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct ResizeQueueDescriptor : QueueDescriptorWithParameters<ResizeDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct FakeQuantizationQueueDescriptor : QueueDescriptorWithParameters<FakeQuantizationDescriptor>
{
FakeQuantizationQueueDescriptor()
: m_Min(nullptr)
, m_Max(nullptr)
{
}
const ConstTensorHandle* m_Min;
const ConstTensorHandle* m_Max;
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct InstanceNormalizationQueueDescriptor : QueueDescriptorWithParameters<InstanceNormalizationDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct L2NormalizationQueueDescriptor : QueueDescriptorWithParameters<L2NormalizationDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct LogSoftmaxQueueDescriptor : QueueDescriptorWithParameters<LogSoftmaxDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct ConstantQueueDescriptor : QueueDescriptor
{
ConstantQueueDescriptor()
: m_LayerOutput(nullptr)
{
}
const ConstTensorHandle* m_LayerOutput;
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct ReshapeQueueDescriptor : QueueDescriptorWithParameters<ReshapeDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct SpaceToBatchNdQueueDescriptor : QueueDescriptorWithParameters<SpaceToBatchNdDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct SpaceToDepthQueueDescriptor : QueueDescriptorWithParameters<SpaceToDepthDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct FloorQueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct LstmQueueDescriptor : QueueDescriptorWithParameters<LstmDescriptor>
{
LstmQueueDescriptor()
: m_InputToInputWeights(nullptr)
, m_InputToForgetWeights(nullptr)
, m_InputToCellWeights(nullptr)
, m_InputToOutputWeights(nullptr)
, m_RecurrentToInputWeights(nullptr)
, m_RecurrentToForgetWeights(nullptr)
, m_RecurrentToCellWeights(nullptr)
, m_RecurrentToOutputWeights(nullptr)
, m_CellToInputWeights(nullptr)
, m_CellToForgetWeights(nullptr)
, m_CellToOutputWeights(nullptr)
, m_InputGateBias(nullptr)
, m_ForgetGateBias(nullptr)
, m_CellBias(nullptr)
, m_OutputGateBias(nullptr)
, m_ProjectionWeights(nullptr)
, m_ProjectionBias(nullptr)
, m_InputLayerNormWeights(nullptr)
, m_ForgetLayerNormWeights(nullptr)
, m_CellLayerNormWeights(nullptr)
, m_OutputLayerNormWeights(nullptr)
{
}
const ConstTensorHandle* m_InputToInputWeights;
const ConstTensorHandle* m_InputToForgetWeights;
const ConstTensorHandle* m_InputToCellWeights;
const ConstTensorHandle* m_InputToOutputWeights;
const ConstTensorHandle* m_RecurrentToInputWeights;
const ConstTensorHandle* m_RecurrentToForgetWeights;
const ConstTensorHandle* m_RecurrentToCellWeights;
const ConstTensorHandle* m_RecurrentToOutputWeights;
const ConstTensorHandle* m_CellToInputWeights;
const ConstTensorHandle* m_CellToForgetWeights;
const ConstTensorHandle* m_CellToOutputWeights;
const ConstTensorHandle* m_InputGateBias;
const ConstTensorHandle* m_ForgetGateBias;
const ConstTensorHandle* m_CellBias;
const ConstTensorHandle* m_OutputGateBias;
const ConstTensorHandle* m_ProjectionWeights;
const ConstTensorHandle* m_ProjectionBias;
const ConstTensorHandle* m_InputLayerNormWeights;
const ConstTensorHandle* m_ForgetLayerNormWeights;
const ConstTensorHandle* m_CellLayerNormWeights;
const ConstTensorHandle* m_OutputLayerNormWeights;
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct ConvertFp16ToFp32QueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct ConvertFp32ToFp16QueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct BatchToSpaceNdQueueDescriptor : QueueDescriptorWithParameters<BatchToSpaceNdDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct StridedSliceQueueDescriptor : QueueDescriptorWithParameters<StridedSliceDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
// Minimum layer workload data.
struct MinimumQueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
// Deprecated use ComparisonQueueDescriptor instead
struct GreaterQueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct DebugQueueDescriptor : QueueDescriptor
{
DebugQueueDescriptor() : m_Guid(0) {}
void Validate(const WorkloadInfo& workloadInfo) const;
LayerGuid m_Guid;
std::string m_LayerName;
unsigned int m_SlotIndex;
bool m_LayerOutputToFile = false;
};
struct RsqrtQueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct GatherNdQueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct GatherQueueDescriptor : QueueDescriptorWithParameters<GatherDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct PreCompiledQueueDescriptor : QueueDescriptorWithParameters<PreCompiledDescriptor>
{
PreCompiledQueueDescriptor()
: m_PreCompiledObject(nullptr)
{
}
void* m_PreCompiledObject;
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct DequantizeQueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct MergeQueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct SwitchQueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct PreluQueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct TransposeConvolution2dQueueDescriptor : QueueDescriptorWithParameters<TransposeConvolution2dDescriptor>
{
TransposeConvolution2dQueueDescriptor() :
m_Weight(nullptr),
m_Bias(nullptr)
{}
const ConstTensorHandle* m_Weight;
const ConstTensorHandle* m_Bias;
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct TransposeQueueDescriptor : QueueDescriptorWithParameters<TransposeDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct QLstmQueueDescriptor : QueueDescriptorWithParameters<QLstmDescriptor>
{
QLstmQueueDescriptor()
: m_InputToInputWeights(nullptr)
, m_InputToForgetWeights(nullptr)
, m_InputToCellWeights(nullptr)
, m_InputToOutputWeights(nullptr)
, m_RecurrentToInputWeights(nullptr)
, m_RecurrentToForgetWeights(nullptr)
, m_RecurrentToCellWeights(nullptr)
, m_RecurrentToOutputWeights(nullptr)
, m_CellToInputWeights(nullptr)
, m_CellToForgetWeights(nullptr)
, m_CellToOutputWeights(nullptr)
, m_InputGateBias(nullptr)
, m_ForgetGateBias(nullptr)
, m_CellBias(nullptr)
, m_OutputGateBias(nullptr)
, m_ProjectionWeights(nullptr)
, m_ProjectionBias(nullptr)
, m_InputLayerNormWeights(nullptr)
, m_ForgetLayerNormWeights(nullptr)
, m_CellLayerNormWeights(nullptr)
, m_OutputLayerNormWeights(nullptr)
{
}
const ConstTensorHandle* m_InputToInputWeights;
const ConstTensorHandle* m_InputToForgetWeights;
const ConstTensorHandle* m_InputToCellWeights;
const ConstTensorHandle* m_InputToOutputWeights;
const ConstTensorHandle* m_RecurrentToInputWeights;
const ConstTensorHandle* m_RecurrentToForgetWeights;
const ConstTensorHandle* m_RecurrentToCellWeights;
const ConstTensorHandle* m_RecurrentToOutputWeights;
const ConstTensorHandle* m_CellToInputWeights;
const ConstTensorHandle* m_CellToForgetWeights;
const ConstTensorHandle* m_CellToOutputWeights;
const ConstTensorHandle* m_InputGateBias;
const ConstTensorHandle* m_ForgetGateBias;
const ConstTensorHandle* m_CellBias;
const ConstTensorHandle* m_OutputGateBias;
const ConstTensorHandle* m_ProjectionWeights;
const ConstTensorHandle* m_ProjectionBias;
const ConstTensorHandle* m_InputLayerNormWeights;
const ConstTensorHandle* m_ForgetLayerNormWeights;
const ConstTensorHandle* m_CellLayerNormWeights;
const ConstTensorHandle* m_OutputLayerNormWeights;
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct QuantizedLstmQueueDescriptor : QueueDescriptor
{
QuantizedLstmQueueDescriptor()
: m_InputToInputWeights(nullptr)
, m_InputToForgetWeights(nullptr)
, m_InputToCellWeights(nullptr)
, m_InputToOutputWeights(nullptr)
, m_RecurrentToInputWeights(nullptr)
, m_RecurrentToForgetWeights(nullptr)
, m_RecurrentToCellWeights(nullptr)
, m_RecurrentToOutputWeights(nullptr)
, m_InputGateBias(nullptr)
, m_ForgetGateBias(nullptr)
, m_CellBias(nullptr)
, m_OutputGateBias(nullptr)
{}
const ConstTensorHandle* m_InputToInputWeights;
const ConstTensorHandle* m_InputToForgetWeights;
const ConstTensorHandle* m_InputToCellWeights;
const ConstTensorHandle* m_InputToOutputWeights;
const ConstTensorHandle* m_RecurrentToInputWeights;
const ConstTensorHandle* m_RecurrentToForgetWeights;
const ConstTensorHandle* m_RecurrentToCellWeights;
const ConstTensorHandle* m_RecurrentToOutputWeights;
const ConstTensorHandle* m_InputGateBias;
const ConstTensorHandle* m_ForgetGateBias;
const ConstTensorHandle* m_CellBias;
const ConstTensorHandle* m_OutputGateBias;
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct AbsQueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct SliceQueueDescriptor : QueueDescriptorWithParameters<SliceDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct DepthToSpaceQueueDescriptor : QueueDescriptorWithParameters<DepthToSpaceDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct ComparisonQueueDescriptor : QueueDescriptorWithParameters<ComparisonDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct ElementwiseBinaryQueueDescriptor : QueueDescriptorWithParameters<ElementwiseBinaryDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct ElementwiseUnaryQueueDescriptor : QueueDescriptorWithParameters<ElementwiseUnaryDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct LogicalBinaryQueueDescriptor : QueueDescriptorWithParameters<LogicalBinaryDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct ReduceQueueDescriptor : QueueDescriptorWithParameters<ReduceDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct ShapeQueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct UnidirectionalSequenceLstmQueueDescriptor : QueueDescriptorWithParameters<LstmDescriptor>
{
UnidirectionalSequenceLstmQueueDescriptor()
: m_InputToInputWeights(nullptr)
, m_InputToForgetWeights(nullptr)
, m_InputToCellWeights(nullptr)
, m_InputToOutputWeights(nullptr)
, m_RecurrentToInputWeights(nullptr)
, m_RecurrentToForgetWeights(nullptr)
, m_RecurrentToCellWeights(nullptr)
, m_RecurrentToOutputWeights(nullptr)
, m_CellToInputWeights(nullptr)
, m_CellToForgetWeights(nullptr)
, m_CellToOutputWeights(nullptr)
, m_InputGateBias(nullptr)
, m_ForgetGateBias(nullptr)
, m_CellBias(nullptr)
, m_OutputGateBias(nullptr)
, m_ProjectionWeights(nullptr)
, m_ProjectionBias(nullptr)
, m_InputLayerNormWeights(nullptr)
, m_ForgetLayerNormWeights(nullptr)
, m_CellLayerNormWeights(nullptr)
, m_OutputLayerNormWeights(nullptr)
{
}
const ConstTensorHandle* m_InputToInputWeights;
const ConstTensorHandle* m_InputToForgetWeights;
const ConstTensorHandle* m_InputToCellWeights;
const ConstTensorHandle* m_InputToOutputWeights;
const ConstTensorHandle* m_RecurrentToInputWeights;
const ConstTensorHandle* m_RecurrentToForgetWeights;
const ConstTensorHandle* m_RecurrentToCellWeights;
const ConstTensorHandle* m_RecurrentToOutputWeights;
const ConstTensorHandle* m_CellToInputWeights;
const ConstTensorHandle* m_CellToForgetWeights;
const ConstTensorHandle* m_CellToOutputWeights;
const ConstTensorHandle* m_InputGateBias;
const ConstTensorHandle* m_ForgetGateBias;
const ConstTensorHandle* m_CellBias;
const ConstTensorHandle* m_OutputGateBias;
const ConstTensorHandle* m_ProjectionWeights;
const ConstTensorHandle* m_ProjectionBias;
const ConstTensorHandle* m_InputLayerNormWeights;
const ConstTensorHandle* m_ForgetLayerNormWeights;
const ConstTensorHandle* m_CellLayerNormWeights;
const ConstTensorHandle* m_OutputLayerNormWeights;
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct ChannelShuffleQueueDescriptor : QueueDescriptorWithParameters<ChannelShuffleDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct BatchMatMulQueueDescriptor : QueueDescriptorWithParameters<BatchMatMulDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct ReverseV2QueueDescriptor : QueueDescriptor
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct TileQueueDescriptor : QueueDescriptorWithParameters<TileDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct BroadcastToQueueDescriptor : QueueDescriptorWithParameters<BroadcastToDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
struct ScatterNdQueueDescriptor : QueueDescriptorWithParameters<ScatterNdDescriptor>
{
void Validate(const WorkloadInfo& workloadInfo) const;
};
} // namespace armnn