[Misc] offest -> offset in comments and variable names (#33444)

Signed-off-by: Russell Bryant <rbryant@redhat.com>

vllm/v1/attention/backends/mamba2_attn.py

@@ -105,7 +105,7 @@ class Mamba2AttentionMetadata(BaseMambaAttentionMetadata):
     # Chunk-related metadata (only for prefill)
     seq_idx_p: torch.Tensor | None = None
     # cu_chunk_seqlen_p is a tensor of shape (nchunks+1,) that contains, for
-    # each chunk, its offests into the varlen sequence dimension. It is defined
+    # each chunk, its offsets into the varlen sequence dimension. It is defined
     # such that the i-th chunk contains tokens from cu_chunk_seqlen_p[i] to
     # cu_chunk_seqlen_p[i+1].
     cu_chunk_seqlen_p: torch.Tensor | None = None

vllm/v1/spec_decode/eagle.py

@@ -1038,7 +1038,7 @@ class SpecDecodeBaseProposer:
         # [0, 1, 2, 3, 4, 5, 6, 7, 8] ->
         # [0, 1, 0, 1, 2, 3, 0, 1, 2]
         #  _r1_  ____r2____  ___r3__
-        token_offests = (
+        token_offsets = (
             self.token_arange_np[:total_num_tokens] - new_query_start_locs_expanded
         )
 
@@ -1053,7 +1053,7 @@ class SpecDecodeBaseProposer:
         # [0, 1,                                // req 1
         #  q1 + 0, q1 + 1, q1 + 2, q1 + 3,       // req 2
         #  q1 + q2 + 0, q1 + q2 + 1, q1 + q2 + 2] // req 3
-        token_indices_np = token_offests + old_query_start_locs_expanded
+        token_indices_np = token_offsets + old_query_start_locs_expanded
         token_indices = torch.from_numpy(token_indices_np).to(device, non_blocking=True)
 
         spec_common_attn_metadata = CommonAttentionMetadata(