Input objects of the neural network training algorithm.
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◆ add()
void add |
( |
InputCollectionId |
id, |
|
|
size_t |
key, |
|
|
const data_management::TensorPtr & |
value |
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) |
| |
Sets input object for the neural network training algorithm
- Parameters
-
[in] | id | Identifier of the input object |
[in] | key | Key to use to retrieve data |
[in] | value | Pointer to the input object |
◆ check()
Checks input object for the neural network algorithm
- Parameters
-
[in] | par | Algorithm parameter |
[in] | method | Computatiom method |
- Returns
- Status of computations
Reimplemented from Input.
Reimplemented in DistributedInput< step1Local >.
◆ get() [1/3]
data_management::TensorPtr get |
( |
InputId |
id | ) |
const |
Returns input object for the neural network training algorithm
- Parameters
-
[in] | id | Identifier of the input object |
- Returns
- Input object that corresponds to the given identifier
◆ get() [2/3]
Returns input object for the neural network training algorithm
- Parameters
-
[in] | id | Identifier of the input object |
- Returns
- Input object that corresponds to the given identifier
◆ get() [3/3]
Returns input object for the neural network training algorithm
- Parameters
-
[in] | id | Identifier of the input object |
[in] | key | Key to use to retrieve data |
- Returns
- Input object that corresponds to the given identifier
◆ set() [1/2]
void set |
( |
InputId |
id, |
|
|
const data_management::TensorPtr & |
value |
|
) |
| |
Sets input object for the neural network training algorithm
- Parameters
-
[in] | id | Identifier of the input object |
[in] | value | Pointer to the input object |
◆ set() [2/2]
void set |
( |
InputCollectionId |
id, |
|
|
const data_management::KeyValueDataCollectionPtr & |
value |
|
) |
| |
Sets input object for the neural network training algorithm
- Parameters
-
[in] | id | Identifier of the input object |
[in] | value | Pointer to the input object |
The documentation for this class was generated from the following file: