implementations

Documentation

Index

• type AIModel
  • func NewEmptyModel() *AIModel
  • func NewModel(backend string, device string) *AIModel
  • func (m *AIModel) Backend() string
  • func (m *AIModel) Blob() []byte
  • func (m *AIModel) Device() string
  • func (m *AIModel) Inputs() []string
  • func (m *AIModel) Outputs() []string
  • func (m *AIModel) SetBackend(backend string)
  • func (m *AIModel) SetBlob(blob []byte)
  • func (m *AIModel) SetBlobFromFile(path string) (err error)
  • func (m *AIModel) SetDevice(device string)
  • func (m *AIModel) SetInputs(inputs []string)
  • func (m *AIModel) SetOutputs(outputs []string)
  • func (m *AIModel) SetTag(tag string)
  • func (m *AIModel) Tag() string
• type AITensor
  • func NewAiTensor() *AITensor
  • func NewAiTensorWithData(typestr string, shape []int64, data interface{}) *AITensor
  • func NewAiTensorWithShape(shape []int64) *AITensor
  • func (m *AITensor) Data() interface{}
  • func (t *AITensor) Dtype() reflect.Type
  • func (t *AITensor) Len() int64
  • func (t *AITensor) NumDims() int64
  • func (m *AITensor) SetData(data interface{})
  • func (m *AITensor) SetShape(shape []int64)
  • func (m *AITensor) Shape() []int64

Types

type AIModel

type AIModel struct {
	// contains filtered or unexported fields
}

func NewEmptyModel

func NewEmptyModel() *AIModel

func NewModel

func NewModel(backend string, device string) *AIModel

func (*AIModel) Backend

func (m *AIModel) Backend() string

func (*AIModel) Blob

func (m *AIModel) Blob() []byte

func (*AIModel) Device

func (m *AIModel) Device() string

func (*AIModel) Inputs

func (m *AIModel) Inputs() []string

func (*AIModel) Outputs

func (m *AIModel) Outputs() []string

func (*AIModel) SetBackend

func (m *AIModel) SetBackend(backend string)

func (*AIModel) SetBlob

func (m *AIModel) SetBlob(blob []byte)

func (*AIModel) SetBlobFromFile

func (m *AIModel) SetBlobFromFile(path string) (err error)

func (*AIModel) SetDevice

func (m *AIModel) SetDevice(device string)

func (*AIModel) SetInputs

func (m *AIModel) SetInputs(inputs []string)

func (*AIModel) SetOutputs

func (m *AIModel) SetOutputs(outputs []string)

func (*AIModel) SetTag

func (m *AIModel) SetTag(tag string)

func (*AIModel) Tag

func (m *AIModel) Tag() string

type AITensor

type AITensor struct {
	// contains filtered or unexported fields
}

TensorInterface is an interface that represents the skeleton of a tensor ( n-dimensional array of numerical data ) needed to map it to a RedisAI Model with the proper operations

func NewAiTensor

func NewAiTensor() *AITensor

func NewAiTensorWithData

func NewAiTensorWithData(typestr string, shape []int64, data interface{}) *AITensor

func NewAiTensorWithShape

func NewAiTensorWithShape(shape []int64) *AITensor

func (*AITensor) Data

func (m *AITensor) Data() interface{}

func (*AITensor) Dtype

func (t *AITensor) Dtype() reflect.Type

func (*AITensor) Len

func (t *AITensor) Len() int64

func (*AITensor) NumDims

func (t *AITensor) NumDims() int64

func (*AITensor) SetData

func (m *AITensor) SetData(data interface{})

func (*AITensor) SetShape

func (m *AITensor) SetShape(shape []int64)

func (*AITensor) Shape

func (m *AITensor) Shape() []int64