Files
2026-07-13 13:18:33 +08:00

32 lines
1.2 KiB
Python

# Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import torch
from abc import ABC
class MegatronContainer(ABC):
def __init__(self, **kwargs):
super().__init__(**kwargs)
self.megatron_v2 = self.policy.is_megatron_v2
def _align_qkv_transposed(self, x):
attention_head_size = x.shape[-1] // self.num_attention_heads
new_x_shape = x.size()[:-1] + (self.num_attention_heads, attention_head_size)
x_1 = x.view(*new_x_shape)
(q, k, v) = torch.split(x_1, (x_1.shape[-1] // 3), dim=(x_1.dim() - 1))
if len(q.shape) > 2:
return torch.cat((q.reshape(q.shape[0], -1), k.reshape(q.shape[0], -1), v.reshape(q.shape[0], -1)),
dim=-1).reshape(x.shape)
else:
return torch.cat((q.reshape(-1), k.reshape(-1), v.reshape(-1)), dim=-1).reshape(x.shape)
def transpose(self):
super().transpose()
if self.megatron_v2:
self.qkvw = torch.nn.parameter.Parameter(self._align_qkv_transposed(self.qkvw).contiguous())
self.qkvb = torch.nn.parameter.Parameter(self._align_qkv_transposed(self.qkvb).contiguous())