35
vllm_ascend/_310p/ops/qwen3vl_310.py
Normal file
35
vllm_ascend/_310p/ops/qwen3vl_310.py
Normal file
@@ -0,0 +1,35 @@
|
||||
#
|
||||
# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
|
||||
# This file is a part of the vllm-ascend project.
|
||||
#
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
#
|
||||
|
||||
import torch
|
||||
|
||||
|
||||
# 310P RC: non_blocking H2D copy in rot_pos_emb can race with subsequent indexing.
|
||||
def rot_pos_emb_310(self, grid_thw: list[list[int]]):
|
||||
max_grid_size = max(max(h, w) for _, h, w in grid_thw)
|
||||
pos_ids = [
|
||||
self.rot_pos_ids(h, w, self.spatial_merge_size)
|
||||
if t == 1
|
||||
else self.rot_pos_ids(h, w, self.spatial_merge_size).repeat(t, 1)
|
||||
for t, h, w in grid_thw
|
||||
]
|
||||
pos_ids = torch.cat(pos_ids, dim=0).to(self.device, non_blocking=False)
|
||||
|
||||
cos, sin = self.rotary_pos_emb.get_cos_sin(max_grid_size)
|
||||
cos_combined = cos[pos_ids].flatten(1)
|
||||
sin_combined = sin[pos_ids].flatten(1)
|
||||
return cos_combined, sin_combined
|
||||
Reference in New Issue
Block a user