Update deprecated type hinting in models (#18132)
Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
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@@ -20,7 +20,8 @@
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"""PyTorch Falcon model."""
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import math
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from typing import Iterable, Optional, Set, Tuple, Union
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from collections.abc import Iterable
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from typing import Optional, Union
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import torch
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from torch import nn
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@@ -394,8 +395,8 @@ class FalconModel(nn.Module):
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hidden_states = self.ln_f(hidden_states)
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return hidden_states
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def load_weights(self, weights: Iterable[Tuple[str,
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torch.Tensor]]) -> Set[str]:
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def load_weights(self, weights: Iterable[tuple[str,
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torch.Tensor]]) -> set[str]:
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total_num_heads = self.config.num_attention_heads
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if self.config.new_decoder_architecture:
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total_num_kv_heads = self.config.num_kv_heads
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@@ -405,7 +406,7 @@ class FalconModel(nn.Module):
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total_num_kv_heads = total_num_heads
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num_query_heads_per_kv_head = total_num_heads // total_num_kv_heads
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params_dict = dict(self.named_parameters(remove_duplicate=False))
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loaded_params: Set[str] = set()
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loaded_params: set[str] = set()
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for name, loaded_weight in weights:
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# Skip loading extra bias for GPTQ models.
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if name.endswith(".bias") and name not in params_dict:
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@@ -498,8 +499,8 @@ class FalconForCausalLM(nn.Module, SupportsPP):
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sampling_metadata)
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return logits
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def load_weights(self, weights: Iterable[Tuple[str,
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torch.Tensor]]) -> Set[str]:
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def load_weights(self, weights: Iterable[tuple[str,
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torch.Tensor]]) -> set[str]:
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loader = AutoWeightsLoader(
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self,
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skip_prefixes=(["lm_head."]
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