layer_norm.py

# coding=utf-8
# Copyright 2021 The OneFlow Authors. All rights reserved.
#
# 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 oneflow as flow

from libai.utils import distributed as dist


class LayerNorm(flow.nn.Module):
    def __init__(self, normalized_shape, eps=1e-6, layer_idx=0):
        super().__init__()
        self.layer_idx = layer_idx
        self.weight = flow.nn.Parameter(
            flow.ones(
                normalized_shape,
                dtype=flow.float32,
                placement=dist.get_layer_placement(layer_idx),
                sbp=dist.get_nd_sbp([flow.sbp.broadcast, flow.sbp.broadcast]),
            )
        )
        self.l2norm_epsilon = eps

    def forward(self, hidden_states):
        return flow._C.rms_layer_norm(hidden_states, self.weight, self.l2norm_epsilon)