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add doctstring

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junwoo-yun 2023-12-27 02:15:24 +08:00
parent 88a94b9db8
commit bee11e79d9
1 changed files with 12 additions and 13 deletions
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23
python/mlx/nn/layers/transformer.py
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@ -147,7 +147,6 @@ class TransformerEncoderLayer(Module):
return y
class TransformerEncoder(Module):
def __init__(
self,
@ -275,18 +274,18 @@ class Transformer(Module):
between encoder and decoder happens through the attention mechanism.
Args:
dims (int): The number of expected features in the encoder/decoder inputs.
num_heads (int): The number of heads in the multi-head attention models.
num_encoder_layers (int): The number of sub-encoder-layers in the Transformer encoder.
num_decoder_layers (int): The number of sub-decoder-layers in the Transformer decoder.
mlp_dims (Optional[int]): The dimensionality of the feedforward network model in each Transformer layer.
Defaults to 4*dims if not provided.
dropout (float): The dropout value for Transformer encoder/decoder.
activation (Callable[[Any], Any]): the activation function of encoder/decoder intermediate layer
custom_encoder (Optional[Any]): A custom encoder to replace the standard Transformer encoder.
custom_decoder (Optional[Any]): A custom decoder to replace the standard Transformer decoder.
dims (int): The number of expected features in the encoder/decoder inputs (default: 512)
num_heads (int): The number of heads in the multi-head attention models (default: 8)
num_encoder_layers (int): The number of sub-encoder-layers in the Transformer encoder (default: 6)
num_decoder_layers (int): The number of sub-decoder-layers in the Transformer decoder (default: 6)
mlp_dims (Optional[int]): The dimensionality of the feedforward network model in each Transformer layer,
Defaults to 4*dims if not provided (default: None).
dropout (float): The dropout value for Transformer encoder/decoder (default: 0.0)
activation (Callable[[Any], Any]): the activation function of encoder/decoder intermediate layer (default: relu)
custom_encoder (Optional[Any]): A custom encoder to replace the standard Transformer encoder (default: None)
custom_decoder (Optional[Any]): A custom decoder to replace the standard Transformer decoder (default: None)
norm_first (bool): if ``True``, encoder and decoder layers will perform LayerNorms before
other attention and feedforward operations, otherwise after. Default is``False``.
other attention and feedforward operations, otherwise after. (default: False)
"""
def __init__(