RowwiseMult
latent.layers.RowwiseMult
Performs row-wise multiplication between input vectors.
__init__(self, name=None)
special
Parameters:
Name | Type | Description | Default |
---|---|---|---|
name |
str |
String indicating the name of the layer. |
None |
call(self, inputs)
This is where the layer's logic lives.
Note here that call()
method in tf.keras
is little bit different
from keras
API. In keras
API, you can pass support masking for
layers as additional arguments. Whereas tf.keras
has compute_mask()
method to support masking.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
inputs |
|
Input tensor, or list/tuple of input tensors. |
required |
**kwargs |
|
Additional keyword arguments. Currently unused. |
required |
Returns:
Type | Description |
---|---|
|
A tensor or list/tuple of tensors. |