BackendTensorStatics (dfx)

BackendTensorStatics Type

Namespace: Dfx.Backends
Assembly: Dfx.Core.dll
Base Type: obj

Represents the static functionality for tensors implemented by a dfx backend.

Constructors

Constructor	Description
`BackendTensorStatics()` Full Usage: `BackendTensorStatics()` Returns: `BackendTensorStatics`	Returns: `BackendTensorStatics`

Instance members

Instance member	Description
`this.CreateFromFlatArray` Full Usage: `this.CreateFromFlatArray` Parameters: data : `Array` shape : `Shape` dtype : `Dtype` device : `Device` Returns: `RawTensor` Modifiers: abstract	Create a tensor of appropriate dtype from a scalar or array of appropriate values. A backend type is delivered consistent with in-memory data - a type for dtype Int32 gets int32 data etc. data : `Array` shape : `Shape` dtype : `Dtype` device : `Device` Returns: `RawTensor`
`this.Empty` Full Usage: `this.Empty` Parameters: shape : `Shape` dtype : `Dtype` device : `Device` Returns: `RawTensor` Modifiers: abstract	Gets a tensor filled with arbitrary values for the given shape and device shape : `Shape` dtype : `Dtype` device : `Device` Returns: `RawTensor`
`this.Full` Full Usage: `this.Full` Parameters: shape : `Shape` value : `scalar` dtype : `Dtype` device : `Device` Returns: `RawTensor` Modifiers: abstract	Gets a tensor filled with the given value for the given shape and device shape : `Shape` value : `scalar` dtype : `Dtype` device : `Device` Returns: `RawTensor`
`this.GetDevices` Full Usage: `this.GetDevices` Parameters: ?deviceType : `DeviceType` Returns: `Device list` Modifiers: abstract	Gets the devices supported by this backend ?deviceType : `DeviceType` Returns: `Device list`
`this.IsDeviceTypeAvailable` Full Usage: `this.IsDeviceTypeAvailable` Parameters: deviceType : `DeviceType` Returns: `bool` Modifiers: abstract	Indicates if a device type is supported by this backend deviceType : `DeviceType` Returns: `bool`
`this.One` Full Usage: `this.One` Parameters: dtype : `Dtype` device : `Device` Returns: `RawTensor` Modifiers: abstract	Gets the scalar 1 tensor for the given device dtype : `Dtype` device : `Device` Returns: `RawTensor`
`this.Ones` Full Usage: `this.Ones` Parameters: shape : `Shape` dtype : `Dtype` device : `Device` Returns: `RawTensor` Modifiers: abstract	Gets a tensor filled with ones for the given shape and device shape : `Shape` dtype : `Dtype` device : `Device` Returns: `RawTensor`
`this.Random` Full Usage: `this.Random` Parameters: shape : `Shape` dtype : `Dtype` device : `Device` Returns: `RawTensor` Modifiers: abstract	Gets a tensor filled with random values for the given shape and device shape : `Shape` dtype : `Dtype` device : `Device` Returns: `RawTensor`
`this.RandomInt` Full Usage: `this.RandomInt` Parameters: shape : `Shape` low : `int` high : `int` dtype : `Dtype` device : `Device` Returns: `RawTensor` Modifiers: abstract	Gets a tensor filled with random integers from the given range for the given shape and device shape : `Shape` low : `int` high : `int` dtype : `Dtype` device : `Device` Returns: `RawTensor`
`this.RandomNormal` Full Usage: `this.RandomNormal` Parameters: shape : `Shape` dtype : `Dtype` device : `Device` Returns: `RawTensor` Modifiers: abstract	Gets a tensor filled with random values from the normal distribution for the given shape and device shape : `Shape` dtype : `Dtype` device : `Device` Returns: `RawTensor`
`this.Seed` Full Usage: `this.Seed` Parameters: seed : `int` Modifiers: abstract	Sets the seed for the default random number generator of the backend seed : `int`
`this.Zero` Full Usage: `this.Zero` Parameters: dtype : `Dtype` device : `Device` Returns: `RawTensor` Modifiers: abstract	Gets the scalar 0 tensor for the given device dtype : `Dtype` device : `Device` Returns: `RawTensor`
`this.Zeros` Full Usage: `this.Zeros` Parameters: shape : `Shape` dtype : `Dtype` device : `Device` Returns: `RawTensor` Modifiers: abstract	Gets a tensor filled with zeros for the given shape and device shape : `Shape` dtype : `Dtype` device : `Device` Returns: `RawTensor`

Static members

Static member	Description
`BackendTensorStatics.Get(?backend)` Full Usage: `BackendTensorStatics.Get(?backend)` Parameters: ?backend : `Backend` Returns: `BackendTensorStatics`	Get the backend implementation for the given tensor element type and backend. ?backend : `Backend` Returns: `BackendTensorStatics`
`BackendTensorStatics.Seed(?seed)` Full Usage: `BackendTensorStatics.Seed(?seed)` Parameters: ?seed : `int`	Seed all backends with the given random seed, or a new seed based on the current time if no seed is specified. ?seed : `int`

© Copyright 2021, DiffSharp and dfx Contributors.