Interface ITensorData
Interface for device dependent representation of Tensor data.
Syntax
public interface ITensorData : IDisposable
Methods
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.
shape is the TensorShape (and thus length) of the data to copy.
Declaration
float[] Download(TensorShape shape)
Parameters
Returns
GetMaxCount()
Return the maximum number of element this tensorData can contain.
Declaration
Returns
Reserve(Int32)
Reserve uninitialized memory.
Declaration
Parameters
| Type |
Name |
Description |
| Int32 |
count |
|
ScheduleAsyncDownload(Int32)
Schedule an asynchronous download from device memory.
count is the number of element to readback.
returns false until data from device arrives to CPU and is ready for access.
Declaration
bool ScheduleAsyncDownload(int count)
Parameters
| Type |
Name |
Description |
| Int32 |
count |
|
Returns
SharedAccess(out Int32)
Returns an array filled with the values of multiple tensors that share the same tensorData on device.
This function outputs offset from the beginning of the array to location of values for specific tensor. offset parameters is specified in float elements.
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
float[] SharedAccess(out int offset)
Parameters
| Type |
Name |
Description |
| Int32 |
offset |
|
Returns
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
void Upload(float[] data, TensorShape shape, int managedBufferStartIndex = 0)
Parameters
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