https://www.emgu.com/wiki/index.php/Emgu_TF
Run the graph associated with the session starting with the supplied inputs
(inputs[0,ninputs-1] with corresponding values in input_values[0,ninputs-1]).
Namespace:
Emgu.TF
Assembly:
Emgu.TF.Netstandard (in Emgu.TF.Netstandard.dll) Version: 2.6.0.1294
Syntaxpublic Tensor[] Run(
Output[] inputs,
Tensor[] inputValues,
Output[] outputs,
Operation[] targetOperations = null,
Buffer runOptions = null,
Buffer runMetadata = null,
Status status = null
)
Public Function Run (
inputs As Output(),
inputValues As Tensor(),
outputs As Output(),
Optional targetOperations As Operation() = Nothing,
Optional runOptions As Buffer = Nothing,
Optional runMetadata As Buffer = Nothing,
Optional status As Status = Nothing
) As Tensor()
public:
array<Tensor^>^ Run(
array<Output^>^ inputs,
array<Tensor^>^ inputValues,
array<Output^>^ outputs,
array<Operation^>^ targetOperations = nullptr,
Buffer^ runOptions = nullptr,
Buffer^ runMetadata = nullptr,
Status^ status = nullptr
)
member Run :
inputs : Output[] *
inputValues : Tensor[] *
outputs : Output[] *
?targetOperations : Operation[] *
?runOptions : Buffer *
?runMetadata : Buffer *
?status : Status
(* Defaults:
let _targetOperations = defaultArg targetOperations null
let _runOptions = defaultArg runOptions null
let _runMetadata = defaultArg runMetadata null
let _status = defaultArg status null
*)
-> Tensor[]
Parameters
- inputs
- Type: Emgu.TFOutput
The input nodes - inputValues
- Type: Emgu.TFTensor
The input values - outputs
- Type: Emgu.TFOutput
The output nodes - targetOperations (Optional)
- Type: Emgu.TFOperation
Optional target operations - runOptions (Optional)
- Type: Emgu.TFBuffer
[Missing <param name="runOptions"/> documentation for "M:Emgu.TF.Session.Run(Emgu.TF.Output[],Emgu.TF.Tensor[],Emgu.TF.Output[],Emgu.TF.Operation[],Emgu.TF.Buffer,Emgu.TF.Buffer,Emgu.TF.Status)"]
- runMetadata (Optional)
- Type: Emgu.TFBuffer
May be NULL, in which case it will be ignored; or
non-NULL, in which case it must point to an empty, freshly allocated
`TF_Buffer` that may be updated to contain the serialized representation
of a `RunMetadata` protocol buffer.
- status (Optional)
- Type: Emgu.TFStatus
The status
Return Value
Type:
TensorOn success, the tensors corresponding to outputs[0,noutputs-1] are placed in the returned Tensors.
See Also