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Update deprecated type hinting in models (#18132)

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Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
This commit is contained in:
Harry Mellor
2025-05-15 06:06:50 +01:00
committed by GitHub
parent 83f74c698f
commit 26d0419309
130 changed files with 971 additions and 901 deletions
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13
vllm/model_executor/models/mamba2.py
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@@ -1,6 +1,7 @@
# SPDX-License-Identifier: Apache-2.0
"""PyTorch MAMBA2 model."""
from typing import Iterable, Optional, Set, Tuple
from collections.abc import Iterable
from typing import Optional
import torch
from torch import nn
@@ -35,7 +36,7 @@ from .utils import (is_pp_missing_parameter,
make_empty_intermediate_tensors_factory, make_layers,
maybe_prefix)
KVCache = Tuple[torch.Tensor, torch.Tensor]
KVCache = tuple[torch.Tensor, torch.Tensor]
class Mamba2DecoderLayer(nn.Module):
@@ -241,7 +242,7 @@ class Mamba2ForCausalLM(nn.Module, HasInnerState, IsAttentionFree,
return self.mamba_cache.get_seqlen_agnostic_capture_inputs(batch_size)
def _get_mamba_cache_shape(
self) -> Tuple[Tuple[int, int], Tuple[int, int]]:
self) -> tuple[tuple[int, int], tuple[int, int]]:
world_size = get_tensor_model_parallel_world_size()
conv_state_shape, temporal_state_shape = None, None
@@ -279,10 +280,10 @@ class Mamba2ForCausalLM(nn.Module, HasInnerState, IsAttentionFree,
sampling_metadata)
return logits
def load_weights(self, weights: Iterable[Tuple[str,
torch.Tensor]]) -> Set[str]:
def load_weights(self, weights: Iterable[tuple[str,
torch.Tensor]]) -> set[str]:
params_dict = dict(self.named_parameters())
loaded_params: Set[str] = set()
loaded_params: set[str] = set()
for name, loaded_weight in weights:
if "A_log" in name:
name = name.replace("A_log", "A")