Create an activation layer instance. For example, to create activation layers: .. code-block:: python from monai.networks.layers import get_act_layer s_layer = get_act_layer(name="swish") p_layer = get_act_layer(name=("prelu", {"num_parameters": 1, "init": 0.
(name: tuple | str)
| 51 | |
| 52 | |
| 53 | def get_act_layer(name: tuple | str): |
| 54 | """ |
| 55 | Create an activation layer instance. |
| 56 | |
| 57 | For example, to create activation layers: |
| 58 | |
| 59 | .. code-block:: python |
| 60 | |
| 61 | from monai.networks.layers import get_act_layer |
| 62 | |
| 63 | s_layer = get_act_layer(name="swish") |
| 64 | p_layer = get_act_layer(name=("prelu", {"num_parameters": 1, "init": 0.25})) |
| 65 | |
| 66 | Args: |
| 67 | name: an activation type string or a tuple of type string and parameters. |
| 68 | """ |
| 69 | if name == "": |
| 70 | return torch.nn.Identity() |
| 71 | act_name, act_args = split_args(name) |
| 72 | act_type = Act[act_name] |
| 73 | return act_type(**act_args) |
| 74 | |
| 75 | |
| 76 | def get_dropout_layer(name: tuple | str | float | int, dropout_dim: int | None = 1): |
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