Class BurstTensorData

Represents Burst-specific internal data storage for a Tensor.

Inheritance

object

BurstTensorData

Implements

ITensorData

IDisposable

IDependableMemoryResource

IConvertibleToComputeTensorData

IConvertibleToArrayTensorData

IReadableTensorData

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.ReferenceEquals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

Namespace: Unity.Sentis

Assembly: solution.dll

Syntax

public class BurstTensorData : ITensorData, IDisposable, IDependableMemoryResource, IConvertibleToComputeTensorData, IConvertibleToArrayTensorData, IReadableTensorData

Constructors

Name	Description
BurstTensorData(ArrayTensorData)	Initializes and returns an instance of BurstTensorData from an ArrayTensorData.
BurstTensorData(SharedArrayTensorData)	Initializes and returns an instance of BurstTensorData from a SharedArrayTensorData.
BurstTensorData(TensorShape, Array)	Initializes and returns an instance of BurstTensorData from a TensorShape and an Array.
BurstTensorData(TensorShape, bool)	Initializes and returns an instance of BurstTensorData, and allocates storage for a tensor with the shape of shape.
BurstTensorData(TensorShape, NativeTensorArray, int)	Initializes and returns an instance of BurstTensorData from a NativeTensorArray and an offset.

Properties

Name	Description
array	The NativeTensorArray managed array containing the Tensor data.
count	The length of the tensor using this data.
deviceType	On what device backend are the data elements stored.
fence	A read fence job handle. You can use fence as a dependsOn argument when you schedule a job that reads data. The job will start when the tensor data is ready for read access.
maxCapacity	The maximum count of the stored data elements.
offset	The integer offset for the backing data.
rawPtr	The raw memory pointer for the resource.
reuse	A write fence job handle. You can use reuse as a dependsOn argument when you schedule a job that reads data. The job will start when the tensor data is ready for write access.
shape	The shape of the tensor using this data as a TensorShape.

Methods

Name	Description
Clone()	Returns a deep copy of the internal storage.
CompleteAllPendingOperations()	Blocking call to make sure that internal data is correctly written to and available for CPU read back.
ConvertToArrayTensorData(TensorShape)	Implement this method to convert to ArrayTensorData.
ConvertToComputeTensorData(TensorShape)	Implement this method to convert to ComputeTensorData.
Dispose()	Disposes of the BurstTensorData and any associated memory.
Download<T>(int, int)	Returns data from internal storage.
~BurstTensorData()	Finalizes the BurstTensorData.
GetReadOnlyNativeArrayHandle<T>(int, int)	Returns a ReadOnlyNativeArray handle on the linear memory data.
Get<T>(int)	Returns a data element.
IsReadbackRequestDone()	Checks if asynchronous readback request is done.
Pin(Tensor, bool)	Moves a tensor into memory on the CPU backend device.
ReadbackRequest(Action<bool>)	Schedules asynchronous readback of the internal data.
ReadbackRequestAsync()	Schedules awaitable asynchronous readback of the internal data. See AsyncReadbackRequest for more info
Reserve(int)	Reserves storage for count elements.
Set<T>(int, T)	Sets value data element at index.
ToArray<T>(int, int)	Returns an array that is a copy of the linear memory data.
ToReadOnlySpan<T>(int, int)	Returns a ReadOnlySpan on the linear memory data.
ToString()	Returns a string that represents the BurstTensorData.
Upload<T>(NativeArray<T>, int, int)	Uploads data to internal storage.