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Add dtype for more operations (#1705)

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This commit is contained in:
Lianmin Zheng
2024-10-18 12:18:15 -07:00
committed by GitHub
parent 6d0fa73ece
commit 392f2863c8
3 changed files with 5 additions and 4 deletions
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4
python/sglang/srt/managers/schedule_batch.py
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@@ -537,8 +537,8 @@ class ScheduleBatch:
# Set fields
with out_cache_loc.device:
self.input_ids = torch.tensor(sum(input_ids, []), dtype=torch.int32)
self.req_pool_indices = torch.tensor(req_pool_indices)
self.seq_lens = torch.tensor(seq_lens)
self.req_pool_indices = torch.tensor(req_pool_indices, dtype=torch.int32)
self.seq_lens = torch.tensor(seq_lens, dtype=torch.int32)
self.extend_num_tokens = extend_num_tokens
self.out_cache_loc = out_cache_loc

3
python/sglang/srt/model_executor/forward_batch_info.py
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@@ -145,8 +145,9 @@ class ForwardBatch:
],
axis=0,
),
dtype=torch.int64,
device=device,
).to(torch.int64)
)
ret.image_inputs = batch.image_inputs
ret.extend_seq_lens = torch.tensor(batch.extend_seq_lens, device=device)

2
python/sglang/srt/sampling/sampling_batch_info.py
View File

@@ -57,7 +57,7 @@ class SamplingBatchInfo:
[r.sampling_params.top_p for r in reqs], dtype=torch.float
)
top_ks = torch.tensor(
[r.sampling_params.top_k for r in reqs], dtype=torch.int
[r.sampling_params.top_k for r in reqs], dtype=torch.int32
)
min_ps = torch.tensor(
[r.sampling_params.min_p for r in reqs], dtype=torch.float