(self, config: PretrainedConfig)
| 107 | class BloomModel(Module): |
| 108 | |
| 109 | def __init__(self, config: PretrainedConfig): |
| 110 | super().__init__() |
| 111 | self.vocab_embedding = Embedding(config.vocab_size, |
| 112 | config.hidden_size, |
| 113 | dtype=config.dtype) |
| 114 | self.ln_embed = LayerNorm(normalized_shape=config.hidden_size, |
| 115 | dtype=config.dtype) |
| 116 | self.layers = DecoderLayerList(BloomDecoderLayer, config) |
| 117 | self.ln_f = LayerNorm(normalized_shape=config.hidden_size, |
| 118 | dtype=config.dtype) |
| 119 | |
| 120 | def forward(self, |
| 121 | input_ids: Tensor, |
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