stream_executor

package
v2.8.0+incompatible Latest Latest
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This package is not in the latest version of its module.

 Go to latest Published: Jul 18, 2022 License: Apache-2.0, BSD-2-Clause Imports: 5 Imported by: 0

Documentation

Index

Constants

This section is empty.

Variables

View Source 
var (
	DataType_name = map[int32]string{
		0: "kFloat",
		1: "kDouble",
		2: "kHalf",
		3: "kInt8",
		4: "kInt32",
		5: "kComplexFloat",
		6: "kComplexDouble",
		7: "kBF16",
	}
	DataType_value = map[string]int32{
		"kFloat":         0,
		"kDouble":        1,
		"kHalf":          2,
		"kInt8":          3,
		"kInt32":         4,
		"kComplexFloat":  5,
		"kComplexDouble": 6,
		"kBF16":          7,
	}
)

Enum value maps for DataType.

View Source 
var (
	DataLayout_name = map[int32]string{
		0: "kYXDepthBatch",
		1: "kYXBatchDepth",
		2: "kBatchYXDepth",
		3: "kBatchDepthYX",
		4: "kBatchDepthYX4",
		5: "kBatchDepthYX32",
	}
	DataLayout_value = map[string]int32{
		"kYXDepthBatch":   0,
		"kYXBatchDepth":   1,
		"kBatchYXDepth":   2,
		"kBatchDepthYX":   3,
		"kBatchDepthYX4":  4,
		"kBatchDepthYX32": 5,
	}
)

Enum value maps for DataLayout.

View Source 
var (
	FilterLayout_name = map[int32]string{
		0: "kOutputInputYX",
		1: "kOutputYXInput",
		2: "kOutputInputYX4",
		5: "kOutputInputYX32",
		3: "kInputYXOutput",
		4: "kYXInputOutput",
	}
	FilterLayout_value = map[string]int32{
		"kOutputInputYX":   0,
		"kOutputYXInput":   1,
		"kOutputInputYX4":  2,
		"kOutputInputYX32": 5,
		"kInputYXOutput":   3,
		"kYXInputOutput":   4,
	}
)

Enum value maps for FilterLayout.

View Source 
var (
	ActivationMode_name = map[int32]string{
		0: "kNone",
		1: "kSigmoid",
		2: "kRelu",
		3: "kRelu6",
		4: "kReluX",
		5: "kTanh",
		6: "kBandPass",
	}
	ActivationMode_value = map[string]int32{
		"kNone":     0,
		"kSigmoid":  1,
		"kRelu":     2,
		"kRelu6":    3,
		"kReluX":    4,
		"kTanh":     5,
		"kBandPass": 6,
	}
)

Enum value maps for ActivationMode.

View Source 
var (
	ConvolutionMode_name = map[int32]string{
		0: "CROSS_CORRELATION",
		1: "CONVOLUTION",
	}
	ConvolutionMode_value = map[string]int32{
		"CROSS_CORRELATION": 0,
		"CONVOLUTION":       1,
	}
)

Enum value maps for ConvolutionMode.

View Source 
var (
	ConvolutionKind_name = map[int32]string{
		0: "INVALID",
		1: "FORWARD",
		2: "BACKWARD_FILTER",
		3: "BACKWARD_DATA",
		4: "FORWARD_BIAS_ACTIVATION",
	}
	ConvolutionKind_value = map[string]int32{
		"INVALID":                 0,
		"FORWARD":                 1,
		"BACKWARD_FILTER":         2,
		"BACKWARD_DATA":           3,
		"FORWARD_BIAS_ACTIVATION": 4,
	}
)

Enum value maps for ConvolutionKind.

View Source 
var (
	AlgorithmProto_MathType_name = map[int32]string{
		0: "DEFAULT_MATH",
		1: "TENSOR_OP_MATH",
	}
	AlgorithmProto_MathType_value = map[string]int32{
		"DEFAULT_MATH":   0,
		"TENSOR_OP_MATH": 1,
	}
)

Enum value maps for AlgorithmProto_MathType.

View Source 
var File_tensorflow_stream_executor_dnn_proto protoreflect.FileDescriptor

Functions

This section is empty.

Types

type ActivationMode 

type ActivationMode int32

Describes a kind of non-linearity (threshold-like mathematical function). 

const (
	ActivationMode_kNone    ActivationMode = 0
	ActivationMode_kSigmoid ActivationMode = 1
	// Rectified linear activation: f(x) = x < 0 ? 0 : x
	ActivationMode_kRelu ActivationMode = 2
	// Rectified linear activation; where upper maximum is 6.0.
	ActivationMode_kRelu6 ActivationMode = 3
	// Rectified linear activation; where upper maximum specified by
	// BatchDescriptor::value_max().
	ActivationMode_kReluX ActivationMode = 4
	ActivationMode_kTanh  ActivationMode = 5
	// Like ReluX; but passes all values in the range [-X,X].
	ActivationMode_kBandPass ActivationMode = 6
)

func (ActivationMode) Descriptor 

func (ActivationMode) Descriptor() protoreflect.EnumDescriptor

func (ActivationMode) Enum 

func (x ActivationMode) Enum() *ActivationMode

func (ActivationMode) EnumDescriptor deprecated 

func (ActivationMode) EnumDescriptor() ([]byte, []int)

Deprecated: Use ActivationMode.Descriptor instead.

func (ActivationMode) Number 

func (x ActivationMode) Number() protoreflect.EnumNumber

func (ActivationMode) String 

func (x ActivationMode) String() string

func (ActivationMode) Type 

func (ActivationMode) Type() protoreflect.EnumType

type AlgorithmConfigProto 

type AlgorithmConfigProto struct {

	// Use oneof to emulate optional semantics in proto2 since older
	// version of proto3 cannot distinguish "unset field" and "default field".
	//
	// Types that are assignable to OptionalAlgorithm:
	//	*AlgorithmConfigProto_Algorithm
	OptionalAlgorithm isAlgorithmConfigProto_OptionalAlgorithm `protobuf_oneof:"optional_algorithm"`
	// Types that are assignable to OptionalAlgorithmNoScratch:
	//	*AlgorithmConfigProto_AlgorithmNoScratch
	OptionalAlgorithmNoScratch isAlgorithmConfigProto_OptionalAlgorithmNoScratch `protobuf_oneof:"optional_algorithm_no_scratch"`
	// Types that are assignable to OptionalScratchSize:
	//	*AlgorithmConfigProto_ScratchSize
	OptionalScratchSize isAlgorithmConfigProto_OptionalScratchSize `protobuf_oneof:"optional_scratch_size"`
	// contains filtered or unexported fields
}

Proto definition of AlgorithmConfig in "dnn.h". TODO(ruochengw): After cl/380702564 is submitted, add support for algorithm configs with cuDNN Frontend APIs.

func (*AlgorithmConfigProto) Descriptor deprecated 

func (*AlgorithmConfigProto) Descriptor() ([]byte, []int)

Deprecated: Use AlgorithmConfigProto.ProtoReflect.Descriptor instead.

func (*AlgorithmConfigProto) GetAlgorithm 

func (x *AlgorithmConfigProto) GetAlgorithm() *AlgorithmProto

func (*AlgorithmConfigProto) GetAlgorithmNoScratch 

func (x *AlgorithmConfigProto) GetAlgorithmNoScratch() *AlgorithmProto

func (*AlgorithmConfigProto) GetOptionalAlgorithm 

func (m *AlgorithmConfigProto) GetOptionalAlgorithm() isAlgorithmConfigProto_OptionalAlgorithm

func (*AlgorithmConfigProto) GetOptionalAlgorithmNoScratch 

func (m *AlgorithmConfigProto) GetOptionalAlgorithmNoScratch() isAlgorithmConfigProto_OptionalAlgorithmNoScratch

func (*AlgorithmConfigProto) GetOptionalScratchSize 

func (m *AlgorithmConfigProto) GetOptionalScratchSize() isAlgorithmConfigProto_OptionalScratchSize

func (*AlgorithmConfigProto) GetScratchSize 

func (x *AlgorithmConfigProto) GetScratchSize() int64

func (*AlgorithmConfigProto) ProtoMessage 

func (*AlgorithmConfigProto) ProtoMessage()

func (*AlgorithmConfigProto) ProtoReflect 

func (x *AlgorithmConfigProto) ProtoReflect() protoreflect.Message

func (*AlgorithmConfigProto) Reset 

func (x *AlgorithmConfigProto) Reset()

func (*AlgorithmConfigProto) String 

func (x *AlgorithmConfigProto) String() string

type AlgorithmConfigProto_Algorithm 

type AlgorithmConfigProto_Algorithm struct {
	Algorithm *AlgorithmProto `protobuf:"bytes,1,opt,name=algorithm,proto3,oneof"`
}

type AlgorithmConfigProto_AlgorithmNoScratch 

type AlgorithmConfigProto_AlgorithmNoScratch struct {
	AlgorithmNoScratch *AlgorithmProto `protobuf:"bytes,2,opt,name=algorithm_no_scratch,json=algorithmNoScratch,proto3,oneof"`
}

type AlgorithmConfigProto_ScratchSize 

type AlgorithmConfigProto_ScratchSize struct {
	ScratchSize int64 `protobuf:"varint,3,opt,name=scratch_size,json=scratchSize,proto3,oneof"`
}

type AlgorithmProto 

type AlgorithmProto struct {
	AlgoId      int64                   `protobuf:"varint,1,opt,name=algo_id,json=algoId,proto3" json:"algo_id,omitempty"`
	MathType    AlgorithmProto_MathType `` /* 135-byte string literal not displayed */
	TuningKnobs map[int64]int64         `` /* 184-byte string literal not displayed */
	// Legacy algorithm enums and cuDNN Frontend engine numbers need to coexist in
	// the same proto medium-term, until we can be confident of no longer needing
	// the legacy cuDNN convolution API.  Once the migration is complete, we can
	// stop producing legacy algorithm enums and remove this field.
	IsCudnnFrontend bool `protobuf:"varint,5,opt,name=is_cudnn_frontend,json=isCudnnFrontend,proto3" json:"is_cudnn_frontend,omitempty"`
	// For ROCm only, it's impossible to re-query the required workspace size
	// after running the algorithm search, so we must store the workspace size
	// along with the choice of algorithm.  For consistency and convenience,
	// cuDNN uses this field in the same way, even though it would be possible to
	// re-query the workspace size from cuDNN at each use.
	//
	// Since this message is persisted in files, we need to be able to distinguish
	// 0 workspace size from unknown workspace size in an old message, so this is
	// a message field.
	WorkspaceSize *wrapperspb.UInt64Value `protobuf:"bytes,6,opt,name=workspace_size,json=workspaceSize,proto3" json:"workspace_size,omitempty"`
	// contains filtered or unexported fields
}

Generic algorithm representation.

func (*AlgorithmProto) Descriptor deprecated 

func (*AlgorithmProto) Descriptor() ([]byte, []int)

Deprecated: Use AlgorithmProto.ProtoReflect.Descriptor instead.

func (*AlgorithmProto) GetAlgoId 

func (x *AlgorithmProto) GetAlgoId() int64

func (*AlgorithmProto) GetIsCudnnFrontend 

func (x *AlgorithmProto) GetIsCudnnFrontend() bool

func (*AlgorithmProto) GetMathType 

func (x *AlgorithmProto) GetMathType() AlgorithmProto_MathType

func (*AlgorithmProto) GetTuningKnobs 

func (x *AlgorithmProto) GetTuningKnobs() map[int64]int64

func (*AlgorithmProto) GetWorkspaceSize 

func (x *AlgorithmProto) GetWorkspaceSize() *wrapperspb.UInt64Value

func (*AlgorithmProto) ProtoMessage 

func (*AlgorithmProto) ProtoMessage()

func (*AlgorithmProto) ProtoReflect 

func (x *AlgorithmProto) ProtoReflect() protoreflect.Message

func (*AlgorithmProto) Reset 

func (x *AlgorithmProto) Reset()

func (*AlgorithmProto) String 

func (x *AlgorithmProto) String() string

type AlgorithmProto_MathType 

type AlgorithmProto_MathType int32
const (
	AlgorithmProto_DEFAULT_MATH AlgorithmProto_MathType = 0
	// The GPU may operate 4x4 matrix FMA.
	// See cuDNN's documentation for CUDNN_TENSOR_OP_MATH.
	AlgorithmProto_TENSOR_OP_MATH AlgorithmProto_MathType = 1
)

func (AlgorithmProto_MathType) Descriptor 

func (AlgorithmProto_MathType) Descriptor() protoreflect.EnumDescriptor

func (AlgorithmProto_MathType) Enum 

func (x AlgorithmProto_MathType) Enum() *AlgorithmProto_MathType

func (AlgorithmProto_MathType) EnumDescriptor deprecated 

func (AlgorithmProto_MathType) EnumDescriptor() ([]byte, []int)

Deprecated: Use AlgorithmProto_MathType.Descriptor instead.

func (AlgorithmProto_MathType) Number 

func (x AlgorithmProto_MathType) Number() protoreflect.EnumNumber

func (AlgorithmProto_MathType) String 

func (x AlgorithmProto_MathType) String() string

func (AlgorithmProto_MathType) Type 

func (AlgorithmProto_MathType) Type() protoreflect.EnumType

type ConvolutionDescriptorProto 

type ConvolutionDescriptorProto struct {
	Paddings  []int64 `protobuf:"varint,1,rep,packed,name=paddings,proto3" json:"paddings,omitempty"`
	Strides   []int64 `protobuf:"varint,2,rep,packed,name=strides,proto3" json:"strides,omitempty"`
	Dilations []int64 `protobuf:"varint,3,rep,packed,name=dilations,proto3" json:"dilations,omitempty"`
	// The "accumulator" type. For example, use F32 as an accumulator for F16
	// convolutions.
	// See cuDNN's cudnnConvolutionMode_t.
	ComputeMode DataType `` /* 129-byte string literal not displayed */
	// See cuDNN's group count.
	GroupCount      int32           `protobuf:"varint,5,opt,name=group_count,json=groupCount,proto3" json:"group_count,omitempty"`
	ConvolutionMode ConvolutionMode `` /* 148-byte string literal not displayed */
	// Tensorflow node name, same as in NodeDef, for debugging purposes.
	Name string `protobuf:"bytes,7,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Convolution-specific parameters.

func (*ConvolutionDescriptorProto) Descriptor deprecated 

func (*ConvolutionDescriptorProto) Descriptor() ([]byte, []int)

Deprecated: Use ConvolutionDescriptorProto.ProtoReflect.Descriptor instead.

func (*ConvolutionDescriptorProto) GetComputeMode 

func (x *ConvolutionDescriptorProto) GetComputeMode() DataType

func (*ConvolutionDescriptorProto) GetConvolutionMode 

func (x *ConvolutionDescriptorProto) GetConvolutionMode() ConvolutionMode

func (*ConvolutionDescriptorProto) GetDilations 

func (x *ConvolutionDescriptorProto) GetDilations() []int64

func (*ConvolutionDescriptorProto) GetGroupCount 

func (x *ConvolutionDescriptorProto) GetGroupCount() int32

func (*ConvolutionDescriptorProto) GetName 

func (x *ConvolutionDescriptorProto) GetName() string

func (*ConvolutionDescriptorProto) GetPaddings 

func (x *ConvolutionDescriptorProto) GetPaddings() []int64

func (*ConvolutionDescriptorProto) GetStrides 

func (x *ConvolutionDescriptorProto) GetStrides() []int64

func (*ConvolutionDescriptorProto) ProtoMessage 

func (*ConvolutionDescriptorProto) ProtoMessage()

func (*ConvolutionDescriptorProto) ProtoReflect 

func (x *ConvolutionDescriptorProto) ProtoReflect() protoreflect.Message

func (*ConvolutionDescriptorProto) Reset 

func (x *ConvolutionDescriptorProto) Reset()

func (*ConvolutionDescriptorProto) String 

func (x *ConvolutionDescriptorProto) String() string

type ConvolutionKind 

type ConvolutionKind int32
const (
	ConvolutionKind_INVALID                 ConvolutionKind = 0
	ConvolutionKind_FORWARD                 ConvolutionKind = 1
	ConvolutionKind_BACKWARD_FILTER         ConvolutionKind = 2
	ConvolutionKind_BACKWARD_DATA           ConvolutionKind = 3
	ConvolutionKind_FORWARD_BIAS_ACTIVATION ConvolutionKind = 4
)

func (ConvolutionKind) Descriptor 

func (ConvolutionKind) Descriptor() protoreflect.EnumDescriptor

func (ConvolutionKind) Enum 

func (x ConvolutionKind) Enum() *ConvolutionKind

func (ConvolutionKind) EnumDescriptor deprecated 

func (ConvolutionKind) EnumDescriptor() ([]byte, []int)

Deprecated: Use ConvolutionKind.Descriptor instead.

func (ConvolutionKind) Number 

func (x ConvolutionKind) Number() protoreflect.EnumNumber

func (ConvolutionKind) String 

func (x ConvolutionKind) String() string

func (ConvolutionKind) Type 

func (ConvolutionKind) Type() protoreflect.EnumType

type ConvolutionMode 

type ConvolutionMode int32

Describe the math definition for the conv op. The popular behavior is actually called cross-correlation in math, despite the operation is often referred as convolution. See cuDNN cudnnConvolutionMode_t. 

const (
	ConvolutionMode_CROSS_CORRELATION ConvolutionMode = 0
	ConvolutionMode_CONVOLUTION       ConvolutionMode = 1
)

func (ConvolutionMode) Descriptor 

func (ConvolutionMode) Descriptor() protoreflect.EnumDescriptor

func (ConvolutionMode) Enum 

func (x ConvolutionMode) Enum() *ConvolutionMode

func (ConvolutionMode) EnumDescriptor deprecated 

func (ConvolutionMode) EnumDescriptor() ([]byte, []int)

Deprecated: Use ConvolutionMode.Descriptor instead.

func (ConvolutionMode) Number 

func (x ConvolutionMode) Number() protoreflect.EnumNumber

func (ConvolutionMode) String 

func (x ConvolutionMode) String() string

func (ConvolutionMode) Type 

func (ConvolutionMode) Type() protoreflect.EnumType

type DataLayout 

type DataLayout int32

Describes how a convolution input or output layer's data is formatted. 

const (
	// Naming convention:
	// Y <-> row or height
	// X <-> column or width
	// Batch <-> batch, or N
	// Depth <-> feature, or channel
	// TODO(timshen): turn them into cuDNN names, e.g. kNCHW.
	//
	// Note: In cudnn, kBatchDepthYX4 and kBatchDepthYX32 are the same layout
	// (namely, NCHW_VECT_C).  It differentiates between these two by using a
	// different data type (int8x4 vs int8x32).  In StreamExecutor we use
	// different layouts for these, because we don't usually pass an explicit data
	// type to StreamExecutor functions.
	DataLayout_kYXDepthBatch   DataLayout = 0
	DataLayout_kYXBatchDepth   DataLayout = 1
	DataLayout_kBatchYXDepth   DataLayout = 2 // cuDNN's NHWC layout
	DataLayout_kBatchDepthYX   DataLayout = 3 // cuDNN's NCHW layout
	DataLayout_kBatchDepthYX4  DataLayout = 4 // cuDNN's NCHW_VECT_C with 4-elem vectors (e.g. int8x4)
	DataLayout_kBatchDepthYX32 DataLayout = 5 // cuDNN's NCHW_VECT_C with 32-elem vects (e.g. int8x32)
)

func (DataLayout) Descriptor 

func (DataLayout) Descriptor() protoreflect.EnumDescriptor

func (DataLayout) Enum 

func (x DataLayout) Enum() *DataLayout

func (DataLayout) EnumDescriptor deprecated 

func (DataLayout) EnumDescriptor() ([]byte, []int)

Deprecated: Use DataLayout.Descriptor instead.

func (DataLayout) Number 

func (x DataLayout) Number() protoreflect.EnumNumber

func (DataLayout) String 

func (x DataLayout) String() string

func (DataLayout) Type 

func (DataLayout) Type() protoreflect.EnumType

type DataType 

type DataType int32

Specifies the data type used by an operation. 

const (
	DataType_kFloat         DataType = 0
	DataType_kDouble        DataType = 1
	DataType_kHalf          DataType = 2
	DataType_kInt8          DataType = 3
	DataType_kInt32         DataType = 4
	DataType_kComplexFloat  DataType = 5
	DataType_kComplexDouble DataType = 6
	DataType_kBF16          DataType = 7
)

func (DataType) Descriptor 

func (DataType) Descriptor() protoreflect.EnumDescriptor

func (DataType) Enum 

func (x DataType) Enum() *DataType

func (DataType) EnumDescriptor deprecated 

func (DataType) EnumDescriptor() ([]byte, []int)

Deprecated: Use DataType.Descriptor instead.

func (DataType) Number 

func (x DataType) Number() protoreflect.EnumNumber

func (DataType) String 

func (x DataType) String() string

func (DataType) Type 

func (DataType) Type() protoreflect.EnumType

type FilterLayout 

type FilterLayout int32

Describes how a convolution filter is laid out in the memory. 

const (
	// Naming convention:
	// Y <-> row or height
	// X <-> column or width
	// Output <-> output feature, or N
	// Input <-> input feature, or N
	// TODO(timshen): turn them into cuDNN names, e.g. kNCHW.
	FilterLayout_kOutputInputYX   FilterLayout = 0 // cuDNN's NCHW layout
	FilterLayout_kOutputYXInput   FilterLayout = 1 // cuDNN's NHWC layout
	FilterLayout_kOutputInputYX4  FilterLayout = 2 // cuDNN's NCHW_VECT_C layout with 4-elem vectors
	FilterLayout_kOutputInputYX32 FilterLayout = 5 // cuDNN's NCHW_VECT_C layout with 32-elem vectors
	FilterLayout_kInputYXOutput   FilterLayout = 3
	FilterLayout_kYXInputOutput   FilterLayout = 4
)

func (FilterLayout) Descriptor 

func (FilterLayout) Descriptor() protoreflect.EnumDescriptor

func (FilterLayout) Enum 

func (x FilterLayout) Enum() *FilterLayout

func (FilterLayout) EnumDescriptor deprecated 

func (FilterLayout) EnumDescriptor() ([]byte, []int)

Deprecated: Use FilterLayout.Descriptor instead.

func (FilterLayout) Number 

func (x FilterLayout) Number() protoreflect.EnumNumber

func (FilterLayout) String 

func (x FilterLayout) String() string

func (FilterLayout) Type 

func (FilterLayout) Type() protoreflect.EnumType

type TensorDescriptorProto 

type TensorDescriptorProto struct {
	Dimensions []int64  `protobuf:"varint,1,rep,packed,name=dimensions,proto3" json:"dimensions,omitempty"`
	DataType   DataType `protobuf:"varint,2,opt,name=data_type,json=dataType,proto3,enum=stream_executor.dnn.DataType" json:"data_type,omitempty"`
	// Types that are assignable to LayoutOneof:
	//	*TensorDescriptorProto_DataLayout
	//	*TensorDescriptorProto_FilterLayout
	LayoutOneof isTensorDescriptorProto_LayoutOneof `protobuf_oneof:"layout_oneof"`
	// contains filtered or unexported fields
}

Generic tensor representation.

func (*TensorDescriptorProto) Descriptor deprecated 

func (*TensorDescriptorProto) Descriptor() ([]byte, []int)

Deprecated: Use TensorDescriptorProto.ProtoReflect.Descriptor instead.

func (*TensorDescriptorProto) GetDataLayout 

func (x *TensorDescriptorProto) GetDataLayout() DataLayout

func (*TensorDescriptorProto) GetDataType 

func (x *TensorDescriptorProto) GetDataType() DataType

func (*TensorDescriptorProto) GetDimensions 

func (x *TensorDescriptorProto) GetDimensions() []int64

func (*TensorDescriptorProto) GetFilterLayout 

func (x *TensorDescriptorProto) GetFilterLayout() FilterLayout

func (*TensorDescriptorProto) GetLayoutOneof 

func (m *TensorDescriptorProto) GetLayoutOneof() isTensorDescriptorProto_LayoutOneof

func (*TensorDescriptorProto) ProtoMessage 

func (*TensorDescriptorProto) ProtoMessage()

func (*TensorDescriptorProto) ProtoReflect 

func (x *TensorDescriptorProto) ProtoReflect() protoreflect.Message

func (*TensorDescriptorProto) Reset 

func (x *TensorDescriptorProto) Reset()

func (*TensorDescriptorProto) String 

func (x *TensorDescriptorProto) String() string

type TensorDescriptorProto_DataLayout 

type TensorDescriptorProto_DataLayout struct {
	DataLayout DataLayout `protobuf:"varint,3,opt,name=data_layout,json=dataLayout,proto3,enum=stream_executor.dnn.DataLayout,oneof"`
}

type TensorDescriptorProto_FilterLayout 

type TensorDescriptorProto_FilterLayout struct {
	FilterLayout FilterLayout `protobuf:"varint,4,opt,name=filter_layout,json=filterLayout,proto3,enum=stream_executor.dnn.FilterLayout,oneof"`
}

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