(self, config: PretrainedConfig)
| 109 | class OPTModel(Module): |
| 110 | |
| 111 | def __init__(self, config: PretrainedConfig): |
| 112 | super().__init__() |
| 113 | self.do_layer_norm_before = config.do_layer_norm_before |
| 114 | |
| 115 | self.vocab_embedding = Embedding(config.vocab_size, |
| 116 | config.hidden_size, |
| 117 | dtype=config.dtype) |
| 118 | self.position_embedding = Embedding(config.max_position_embeddings, |
| 119 | config.hidden_size, |
| 120 | dtype=config.dtype) |
| 121 | |
| 122 | self.layers = DecoderLayerList(OPTDecoderLayer, config) |
| 123 | |
| 124 | if self.do_layer_norm_before: |
| 125 | self.ln_f = LayerNorm(normalized_shape=config.hidden_size, |
| 126 | dtype=config.dtype) |
| 127 | |
| 128 | def forward(self, |
| 129 | input_ids: Tensor, |
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