Input node into the AI graph. Allows for specifying a tensor input. More...
Inheritance diagram for SmartEngine.NeuralNetworks.BufferInput:
Classes | |
| class | CInfo |
| BufferInput constructor info More... | |
Public Member Functions | |
| BufferInput (CInfo cinfo) | |
| unsafe void | SetValues (float[] data) |
| Sets the data of the tensor, specified in row major order. More... | |
 Public Member Functions inherited from SmartEngine.NeuralNetworks.GraphNode | |
| Matrix | Execute () |
| Synchronously execute the graph. The returned matrix is read-only. More... | |
| IEnumerator | RetrieveOutputAsync () |
| Asynchronously execute the graph. The output of the graph can be retrieved with the LastExecutionResult property when the returned enumerator completes. More... | |
| Public Member Functions inherited from SmartEngine.Object | |
| void | AddRef () |
| Increments the internal reference count on this object. It is not common to use this method directly. More... | |
| void | Release () |
| Decrements the internal reference count on this object. It is not common to use this method directly. More... | |
| Public Member Functions inherited from SmartEngine.Disposable | |
| void | Dispose () |
| Cleans up any internal state. It is not safe to use an object after it has been disposed. More... | |
Additional Inherited Members | |
| Properties inherited from SmartEngine.NeuralNetworks.GraphNode | |
| string | Name [get] |
| Returns the name of the graph node. More... | |
| Matrix | LastExecutionResult [get] |
| Get the results of last execution of the graph. The returned matrix is read-only. More... | |
| int | OutputDimension [get] |
| Returns the dimension of a single row of this node's output. The Output property's length will be a multiple of this value. More... | |
Detailed Description
Input node into the AI graph. Allows for specifying a tensor input.
Member Function Documentation
◆ SetValues()
| unsafe void SmartEngine.NeuralNetworks.BufferInput.SetValues | ( | float[] | data | ) |
Sets the data of the tensor, specified in row major order.
- Parameters
-
data The length of data must be a multiple of the dimension of this node. If the node dimension is 5 and there are 10 values in data, then a tensor of 2 rows and 5 columns will be constructed.
