From 80bd14e6bbb7bb282ff3832194648dc4a16157ca Mon Sep 17 00:00:00 2001
From: zhifu gao <zhifu.gzf@alibaba-inc.com>
Date: 星期四, 25 四月 2024 10:41:14 +0800
Subject: [PATCH] Dev gzf exp (#1657)
---
funasr/schedulers/lambdalr_cus.py | 24 ++++++++++++++++++++----
1 files changed, 20 insertions(+), 4 deletions(-)
diff --git a/funasr/schedulers/lambdalr_cus.py b/funasr/schedulers/lambdalr_cus.py
index 0123cc2..19ad7a8 100644
--- a/funasr/schedulers/lambdalr_cus.py
+++ b/funasr/schedulers/lambdalr_cus.py
@@ -1,6 +1,6 @@
-
import torch
from torch.optim.lr_scheduler import _LRScheduler
+
class CustomLambdaLR(_LRScheduler):
def __init__(self, optimizer, warmup_steps, last_epoch=-1):
@@ -10,8 +10,24 @@
def get_lr(self):
if self.last_epoch < self.warmup_steps:
return [
- base_lr * min(self.last_epoch / self.warmup_steps, 1)
- for base_lr in self.base_lrs
+ base_lr * min(self.last_epoch / self.warmup_steps, 1) for base_lr in self.base_lrs
]
else:
- return [base_lr for base_lr in self.base_lrs]
\ No newline at end of file
+ return [base_lr for base_lr in self.base_lrs]
+
+
+class CustomLambdaLR(_LRScheduler):
+ def __init__(self, optimizer, train_config, last_epoch=-1, verbose=False):
+ self.warmup_steps = train_config.warmup_steps
+ self.total_steps = train_config.total_steps
+ super(CustomLambdaLR, self).__init__(optimizer, last_epoch, verbose)
+
+ def get_lr(self):
+ step = self._step_count
+ if step < self.warmup_steps:
+ lr_scale = step / self.warmup_steps
+ else:
+ lr_scale = max(
+ 0.0, 1 - (step - self.warmup_steps) / (self.total_steps - self.warmup_steps)
+ )
+ return [base_lr * lr_scale for base_lr in self.base_lrs]
--
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