Class ArrayTensorData
Internal Tensor
data backed by managed array
Inherited Members
Namespace: Unity.Barracuda
Syntax
public class ArrayTensorData : UniqueResource, ITensorData, IDisposable, ITensorDataStatistics, IUniqueResource
Constructors
ArrayTensorData(Int32)
Create ArrayTensorData
and allocate storage for count
elements
Declaration
public ArrayTensorData(int count)
Parameters
Type | Name | Description |
---|---|---|
Int32 | count | number of elements to pre-allocate |
ArrayTensorData(TensorShape)
Create ArrayTensorData
and allocate storage for Tensor
described by shape
Declaration
public ArrayTensorData(TensorShape shape)
Parameters
Type | Name | Description |
---|---|---|
TensorShape | shape | shape |
Properties
array
Data storage array
Declaration
public float[] array { get; }
Property Value
Type | Description |
---|---|
Single[] |
inUse
Returns true if this tensor data is attached to any tensor.
Declaration
public virtual bool inUse { get; }
Property Value
Type | Description |
---|---|
Boolean |
Implements
isGPUMem
Returns true if this tensor data is reserved as GPU memory.
Declaration
public virtual bool isGPUMem { get; }
Property Value
Type | Description |
---|---|
Boolean |
Implements
maxCapacity
Returns the maximum number of element this tensorData can contain.
Declaration
public virtual int maxCapacity { get; }
Property Value
Type | Description |
---|---|
Int32 |
Implements
Methods
Dispose()
Dispose storage
Declaration
public virtual void Dispose()
Download(TensorShape)
Returns an array filled with the values of a tensor.
Depending on the implementation and underlying device this array might be a copy or direct reference to the tensor values.
This is a blocking call, unless data from device was requested via ScheduleAsyncDownload
beforehand and has already arrived.
Declaration
public virtual float[] Download(TensorShape shape)
Parameters
Type | Name | Description |
---|---|---|
TensorShape | shape | the TensorShape (and thus length) of the data to copy |
Returns
Type | Description |
---|---|
Single[] | Tensor data as |
Implements
Finalize()
Finalizer
Declaration
protected void Finalize()
Reserve(Int32)
Reserve uninitialized memory.
Declaration
public virtual void Reserve(int count)
Parameters
Type | Name | Description |
---|---|---|
Int32 | count | element count to reserve |
Implements
ScheduleAsyncDownload(Int32)
Schedule an asynchronous download from device memory.
count
is the number of element to readback.
Declaration
public virtual bool ScheduleAsyncDownload(int count)
Parameters
Type | Name | Description |
---|---|---|
Int32 | count | count of elements to download |
Returns
Type | Description |
---|---|
Boolean |
|
Implements
SharedAccess(out Int32)
Returns an array filled with the values of multiple tensors that share the same tensorData on device.
Depending on the implementation and underlying device this array might be a copy or direct reference to tensor values, no conversion from on device memory layout will occur.
This is a blocking call, unless data from device was requested via ScheduleAsyncDownload
beforehand and has already arrived.
Declaration
public virtual float[] SharedAccess(out int offset)
Parameters
Type | Name | Description |
---|---|---|
Int32 | offset | This function outputs |
Returns
Type | Description |
---|---|
Single[] | array filled with the values of multiple tensors that share the same tensorData on device |
Implements
ToString()
Storage summary as string
Declaration
public override string ToString()
Returns
Type | Description |
---|---|
String | storage summary as string |
Upload(Single[], TensorShape, Int32)
Initialize with data
.
shape
is the TensorShape (and thus length) of the data to copy.
managedBufferStartIndex
is the offset where to start the copy in the data
Declaration
public virtual void Upload(float[] data, TensorShape shape, int managedBufferStartIndex = 0)
Parameters
Type | Name | Description |
---|---|---|
Single[] | data | data as |
TensorShape | shape | Tensor shape |
Int32 | managedBufferStartIndex | managed buffer start index |