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.