Input objects for the forward batch normalization layer.
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| def __init__ |
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- Variant 1
- Default constructor
- Variant 2
- Copy constructor
| def allocate_{Float64|Float32} |
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Allocates memory to store input objects of forward batch normalization layer
- Parameters
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| parameter | Parameter of forward batch normalization layer |
| method | Computation method for the layer |
- Returns
- Status of computations
- Full Names
allocate_Float64 is for float64
allocate_Float32 is for float32
| def check |
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Checks input object of the forward batch normalization layer
- Parameters
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| parameter | Parameter of layer |
| method | Computation method of the layer |
- Returns
- Status of computations
| def getBiasesSizes |
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Returns dimensions of biases tensor
- Returns
- Dimensions of biases tensor
| def getInputLayerData |
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id |
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Returns an input object for forward batch normalization layer
- Parameters
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| id | Identifier of the input object |
- Returns
- Input object that corresponds to the given identifier
| def getWeightsSizes |
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Returns dimensions of weights tensor
- Returns
- Dimensions of weights tensor
| def setInputLayerData |
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Sets input for the forward batch normalization layer
- Parameters
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| id | Identifier of the input object |
| ptr | Input object to set |
The documentation for this class was generated from the following file:
- batch_normalization/forward.py