tensor_shape_go_proto

Documentation

Index

• Variables
• type TensorShapeProto
  • func (*TensorShapeProto) Descriptor() ([]byte, []int)
  • func (x *TensorShapeProto) GetDim() []*TensorShapeProto_Dim
  • func (x *TensorShapeProto) GetUnknownRank() bool
  • func (*TensorShapeProto) ProtoMessage()
  • func (x *TensorShapeProto) ProtoReflect() protoreflect.Message
  • func (x *TensorShapeProto) Reset()
  • func (x *TensorShapeProto) String() string
• type TensorShapeProto_Dim
  • func (*TensorShapeProto_Dim) Descriptor() ([]byte, []int)
  • func (x *TensorShapeProto_Dim) GetName() string
  • func (x *TensorShapeProto_Dim) GetSize() int64
  • func (*TensorShapeProto_Dim) ProtoMessage()
  • func (x *TensorShapeProto_Dim) ProtoReflect() protoreflect.Message
  • func (x *TensorShapeProto_Dim) Reset()
  • func (x *TensorShapeProto_Dim) String() string

Variables

var File_tensorflow_core_framework_tensor_shape_proto protoreflect.FileDescriptor

Types

type TensorShapeProto

type TensorShapeProto struct {

	// Dimensions of the tensor, such as {"input", 30}, {"output", 40}
	// for a 30 x 40 2D tensor.  If an entry has size -1, this
	// corresponds to a dimension of unknown size. The names are
	// optional.
	//
	// The order of entries in "dim" matters: It indicates the layout of the
	// values in the tensor in-memory representation.
	//
	// The first entry in "dim" is the outermost dimension used to layout the
	// values, the last entry is the innermost dimension.  This matches the
	// in-memory layout of RowMajor Eigen tensors.
	//
	// If "dim.size()" > 0, "unknown_rank" must be false.
	Dim []*TensorShapeProto_Dim `protobuf:"bytes,2,rep,name=dim,proto3" json:"dim,omitempty"`
	// If true, the number of dimensions in the shape is unknown.
	//
	// If true, "dim.size()" must be 0.
	UnknownRank bool `protobuf:"varint,3,opt,name=unknown_rank,json=unknownRank,proto3" json:"unknown_rank,omitempty"`
	// contains filtered or unexported fields
}

Dimensions of a tensor.

func (*TensorShapeProto) Descriptor

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

Deprecated: Use TensorShapeProto.ProtoReflect.Descriptor instead.

func (*TensorShapeProto) GetDim

func (x *TensorShapeProto) GetDim() []*TensorShapeProto_Dim

func (*TensorShapeProto) GetUnknownRank

func (x *TensorShapeProto) GetUnknownRank() bool

func (*TensorShapeProto) ProtoMessage

func (*TensorShapeProto) ProtoMessage()

func (*TensorShapeProto) ProtoReflect

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

func (*TensorShapeProto) Reset

func (x *TensorShapeProto) Reset()

func (*TensorShapeProto) String

func (x *TensorShapeProto) String() string

type TensorShapeProto_Dim

type TensorShapeProto_Dim struct {

	// Size of the tensor in that dimension.
	// This value must be >= -1, but values of -1 are reserved for "unknown"
	// shapes (values of -1 mean "unknown" dimension).  Certain wrappers
	// that work with TensorShapeProto may fail at runtime when deserializing
	// a TensorShapeProto containing a dim value of -1.
	Size int64 `protobuf:"varint,1,opt,name=size,proto3" json:"size,omitempty"`
	// Optional name of the tensor dimension.
	Name string `protobuf:"bytes,2,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

One dimension of the tensor.

func (*TensorShapeProto_Dim) Descriptor

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

Deprecated: Use TensorShapeProto_Dim.ProtoReflect.Descriptor instead.

func (*TensorShapeProto_Dim) GetName

func (x *TensorShapeProto_Dim) GetName() string

func (*TensorShapeProto_Dim) GetSize

func (x *TensorShapeProto_Dim) GetSize() int64

func (*TensorShapeProto_Dim) ProtoMessage

func (*TensorShapeProto_Dim) ProtoMessage()

func (*TensorShapeProto_Dim) ProtoReflect

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

func (*TensorShapeProto_Dim) Reset

func (x *TensorShapeProto_Dim) Reset()

func (*TensorShapeProto_Dim) String

func (x *TensorShapeProto_Dim) String() string