Provides methods for the backward batch normalization layer in the batch processing mode.
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- Parameters
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fptype | Data type to use in intermediate computations for the backward batch normalization layer, double or float |
method | Backward batch normalization layer computation method of the layer, Method |
- Enumerations
- Method Computation methods for the backward batch normalizationlayer
- backward.InputId Identifiers of input objects for the backward batch normalization layer
- LayerDataId Identifiers of collection in input objects for the backward batch normalization layer
- backward.InputLayerDataId Identifiers of extra results computed by the forward batch normalization layer
- backward.ResultId Identifiers of result objects for the backward batch normalization layer
- References
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- Deprecated:
- This item will be removed in a future release.
- Aliases
Batch_Float64DefaultDense
is an alias of Batch(fptype=float64, method=daal.algorithms.neural_networks.layers.batch_normalization.defaultDense)
Batch_Float32DefaultDense
is an alias of Batch(fptype=float32, method=daal.algorithms.neural_networks.layers.batch_normalization.defaultDense)
def __init__ |
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- Variant 1
Default constructor
- Deprecated:
- This item will be removed in a future release.
- Variant 2
Constructs a backward batch normalization layer in the batch processing mode and initializes its parameter with the provided parameter
- Parameters
-
parameter | Parameter to initialize the parameter of the layer |
- Deprecated:
- This item will be removed in a future release.
- Variant 3
Constructs a backward batch normalization layer by copying input objects and parameters of another backward batch normalization layer in the batch processing mode
- Parameters
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other | Algorithm to use as the source to initialize the input objects and parameters of the layer |
- Deprecated:
- This item will be removed in a future release.
def allocateResult |
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Allocates memory to store the result of backward batch normalization layer
- Returns
- Status of computations
- Deprecated:
- This item will be removed in a future release.
Returns a pointer to a newly allocated backward batch normalization layer with a copy of the input objects and parameters for this backward batch normalization layer in the batch processing mode
- Returns
- Pointer to the newly allocated layer
- Deprecated:
- This item will be removed in a future release.
def getLayerInput |
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Returns the structure that contains the input objects of backward batch normalization layer
- Returns
- Structure that contains the input objects of backward batch normalization layer
- Deprecated:
- This item will be removed in a future release.
def getLayerParameter |
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Returns the structure that contains the parameters of the backward batch normalization layer
- Returns
- Structure that contains the parameters of the backward batch normalization layer
- Deprecated:
- This item will be removed in a future release.
def getLayerResult |
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Returns the structure that contains result of the backward batch normalization layer
- Returns
- Structure that contains result of the backward batch normalization layer
- Deprecated:
- This item will be removed in a future release.
Returns computation method of the layer
- Returns
- Computation method of the layer
- Deprecated:
- This item will be removed in a future release.
Returns the structure that contains the result of the backward batch normalization layer
- Returns
- Structure that contains the result of the backward batch normalization layer
- Deprecated:
- This item will be removed in a future release.
def setResult |
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result |
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Registers user-allocated memory to store the result of the backward batch normalization layer
- Parameters
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result | Structure to store the result of the backward batch normalization layer |
- Returns
- Status of computations
- Deprecated:
- This item will be removed in a future release.
Backward batch normalization layer input
The documentation for this class was generated from the following file:
- batch_normalization/backward.py