v5 release with triple architecture support and prompt enhancer
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23
hyvideo/modules/activation_layers.py
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23
hyvideo/modules/activation_layers.py
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import torch.nn as nn
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def get_activation_layer(act_type):
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"""get activation layer
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Args:
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act_type (str): the activation type
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Returns:
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torch.nn.functional: the activation layer
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"""
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if act_type == "gelu":
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return lambda: nn.GELU()
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elif act_type == "gelu_tanh":
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# Approximate `tanh` requires torch >= 1.13
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return lambda: nn.GELU(approximate="tanh")
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elif act_type == "relu":
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return nn.ReLU
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elif act_type == "silu":
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return nn.SiLU
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else:
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raise ValueError(f"Unknown activation type: {act_type}")
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