Class ComputeTensorData
Tensor
data storage for GPU backends
Inherited Members
Namespace: Unity.Barracuda
Syntax
public class ComputeTensorData : UniqueResourceId, ITensorData, IDisposable, ITensorDataStatistics, IUniqueResource
Constructors
ComputeTensorData(TensorShape, String, ComputeInfo.ChannelsOrder, Boolean)
Create ComputeTensorData
Declaration
public ComputeTensorData(TensorShape shape, string buffername, ComputeInfo.ChannelsOrder onDeviceChannelsOrder, bool clearOnInit = true)
Parameters
Type | Name | Description |
---|---|---|
TensorShape | shape | shape |
String | buffername | buffer name |
ComputeInfo.ChannelsOrder | onDeviceChannelsOrder | channel order |
Boolean | clearOnInit | clear on init |
Fields
name
Parent Tensor
name
Declaration
public string name
Field Value
Type | Description |
---|---|
String |
Properties
buffer
Data storage as ComputeBuffer
Declaration
public ComputeBuffer buffer { get; }
Property Value
Type | Description |
---|---|
ComputeBuffer |
channelsOrder
Channel order channels-first vs channels-last
Declaration
public ComputeInfo.ChannelsOrder channelsOrder { get; }
Property Value
Type | Description |
---|---|
ComputeInfo.ChannelsOrder |
dataType
Returns the type of the elements this tensorData can contain.
Declaration
public virtual DataType dataType { get; }
Property Value
Type | Description |
---|---|
DataType |
Implements
inUse
Declaration
public virtual bool inUse { get; }
Property Value
Type | Description |
---|---|
Boolean |
isGPUMem
Declaration
public virtual bool isGPUMem { get; }
Property Value
Type | Description |
---|---|
Boolean |
maxCapacity
Returns the maximum number of element this tensorData can contain.
Declaration
public virtual int maxCapacity { get; }
Property Value
Type | Description |
---|---|
Int32 |
Implements
offset
Offset in the data storage buffer
Declaration
public int offset { get; }
Property Value
Type | Description |
---|---|
Int32 |
Methods
Dispose()
Dispose internal storage
Declaration
public virtual void Dispose()
Implements
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 BarracudaArray SharedAccess(out int offset)
Parameters
Type | Name | Description |
---|---|---|
Int32 | offset | This function outputs |
Returns
Type | Description |
---|---|
BarracudaArray | array filled with the values of multiple tensors that share the same tensorData on device |
Implements
ToString()
Summary
Declaration
public override string ToString()
Returns
Type | Description |
---|---|
String | summary |
Overrides
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 |