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BackendTensorStatics Type

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

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

Constructors

Constructor	Description
`BackendTensorStatics()` Full Usage: `BackendTensorStatics()` Returns: `BackendTensorStatics`	[copy-md.png] [copy-md-hover.png] [copy-xml.png] [copy-xml-hover.png] [github.png] [github-hover.png] 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	[copy-md.png] [copy-md-hover.png] [copy-xml.png] [copy-xml-hover.png] [github.png] [github-hover.png] 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	[copy-md.png] [copy-md-hover.png] [copy-xml.png] [copy-xml-hover.png] [github.png] [github-hover.png] 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	[copy-md.png] [copy-md-hover.png] [copy-xml.png] [copy-xml-hover.png] [github.png] [github-hover.png] 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	[copy-md.png] [copy-md-hover.png] [copy-xml.png] [copy-xml-hover.png] [github.png] [github-hover.png] 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	[copy-md.png] [copy-md-hover.png] [copy-xml.png] [copy-xml-hover.png] [github.png] [github-hover.png] 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	[copy-md.png] [copy-md-hover.png] [copy-xml.png] [copy-xml-hover.png] [github.png] [github-hover.png] 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	[copy-md.png] [copy-md-hover.png] [copy-xml.png] [copy-xml-hover.png] [github.png] [github-hover.png] 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	[copy-md.png] [copy-md-hover.png] [copy-xml.png] [copy-xml-hover.png] [github.png] [github-hover.png] 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	[copy-md.png] [copy-md-hover.png] [copy-xml.png] [copy-xml-hover.png] [github.png] [github-hover.png] 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	[copy-md.png] [copy-md-hover.png] [copy-xml.png] [copy-xml-hover.png] [github.png] [github-hover.png] 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	[copy-md.png] [copy-md-hover.png] [copy-xml.png] [copy-xml-hover.png] [github.png] [github-hover.png] 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	[copy-md.png] [copy-md-hover.png] [copy-xml.png] [copy-xml-hover.png] [github.png] [github-hover.png] 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	[copy-md.png] [copy-md-hover.png] [copy-xml.png] [copy-xml-hover.png] [github.png] [github-hover.png] 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

Static member	Description
`BackendTensorStatics.Get(?backend)` Full Usage: `BackendTensorStatics.Get(?backend)` Parameters: ?backend : `Backend` Returns: `BackendTensorStatics`	[copy-md.png] [copy-md-hover.png] [copy-xml.png] [copy-xml-hover.png] [github.png] [github-hover.png] 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`	[copy-md.png] [copy-md-hover.png] [copy-xml.png] [copy-xml-hover.png] [github.png] [github-hover.png] Seed all backends with the given random seed, or a new seed based on the current time if no seed is specified. ?seed : `int`


                
                  
                    
                      BackendTensorStatics.Get(?backend)

Full Usage: BackendTensorStatics.Get(?backend)

Parameters:

?backend : Backend

Returns: BackendTensorStatics

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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