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