Input objects for initializer algorithm
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| def __init__ |
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self, |
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args |
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- Variant 1
Default constructor
- Variant 2
- Copy constructor
| def check |
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self, |
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par, |
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method |
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Checks an input object for the initializer
- Parameters
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| par | Parameter of algorithm |
| method | Computation method of the algorithm |
- Returns
- Status of computations
Returns input tensor of the initializer
- Parameters
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| id | Identifier of the input tensor |
- Returns
- Input tensor that corresponds to the given identifier
| def set |
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self, |
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id, |
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ptr |
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Sets input for the initializer
- Parameters
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| id | Identifier of the input object |
| ptr | Pointer to the object |
The documentation for this class was generated from the following file:
- algorithms/neural_networks/initializers/__init__.py