35 lines
1.4 KiB
Markdown
35 lines
1.4 KiB
Markdown
# Ptn LSTM
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A long short-term memory (LSTM) model consisting of one or more of a recurrent layer.
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Args:
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input_size (int): The number of input features.
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hidden_size (int): The number of output features of the hidden layer matrix.
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num_layers (int): Number of hidden layers.
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bias (bool): Use bias or not.
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batch_first (bool): Indicates the shape of the input. Input is assumed to be a rank-3 tensor. If True, the shape is [Batch, Seq, Token]. If False, the shape is [Seq, Batch, Token]. Note that default is set to `True` unlike PyTorch's LSTM default model parameter.
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dropout (float): Dropout probability to be applied to the output of intermediate layers if non-zero. This will not be applied to the last layer's output.
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bidirectional (bool): Processes the input in a backward direction and append the result to the output of the forward direction.
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proj_size (int): If set to greater than 0, applies a projection to each output hidden state, reducing its dimensionality to proj_size.
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## Input
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| Name | Data type |
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| input_size | Int |
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| hidden_size | Int |
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| num_layers | Int |
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| bias | Boolean |
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| batch_first | Boolean |
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| dropout | Float |
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| bidirectional | Boolean |
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| proj_size | Int |
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## Output
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| Data type |
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| Ptmodel |
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<HR>
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Category: PyTorch wrapper - Model
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ComfyUI Pt Wrapper Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved.
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