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« prev ^ index » next coverage.py v7.13.1, created at 2026-10-25 05:45 +0800
« prev ^ index » next coverage.py v7.13.1, created at 2026-10-25 05:45 +0800
1# Copyright 2026 Huawei Technologies Co., Ltd
2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7# http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
14# ============================================================================
15"""Root mean square normalization function."""
17import torch # pylint: disable=forbidden-backend-import
18import torch_npu
21def rms_norm(x: torch.Tensor, weight: torch.Tensor, eps: float = 1e-5) -> torch.Tensor:
22 """Apply NPU-accelerated RMS normalization.
24 Args:
25 x: Input tensor.
26 weight: RMSNorm scale tensor.
27 eps: Positive epsilon added to the variance.
29 Returns:
30 The normalized tensor.
31 """
32 return torch_npu.npu_rms_norm(x, weight, epsilon=eps)[0]