From 98abc0e5ac1a1da0fe1802d9ffb623802fbf0b2f Mon Sep 17 00:00:00 2001
From: jmwang66 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期四, 29 六月 2023 16:30:39 +0800
Subject: [PATCH] update setup (#686)
---
funasr/train/trainer.py | 5 -----
1 files changed, 0 insertions(+), 5 deletions(-)
diff --git a/funasr/train/trainer.py b/funasr/train/trainer.py
index f066909..a25f39a 100644
--- a/funasr/train/trainer.py
+++ b/funasr/train/trainer.py
@@ -26,7 +26,6 @@
import torch
import torch.nn
import torch.optim
-from typeguard import check_argument_types
from funasr.iterators.abs_iter_factory import AbsIterFactory
from funasr.main_funcs.average_nbest_models import average_nbest_models
@@ -127,7 +126,6 @@
@classmethod
def build_options(cls, args: argparse.Namespace) -> TrainerOptions:
"""Build options consumed by train(), eval()"""
- assert check_argument_types()
return build_dataclass(TrainerOptions, args)
@classmethod
@@ -188,7 +186,6 @@
distributed_option: DistributedOption,
) -> None:
"""Perform training. This method performs the main process of training."""
- assert check_argument_types()
# NOTE(kamo): Don't check the type more strictly as far trainer_options
assert is_dataclass(trainer_options), type(trainer_options)
assert len(optimizers) == len(schedulers), (len(optimizers), len(schedulers))
@@ -551,7 +548,6 @@
options: TrainerOptions,
distributed_option: DistributedOption,
) -> Tuple[bool, bool]:
- assert check_argument_types()
grad_noise = options.grad_noise
accum_grad = options.accum_grad
@@ -845,7 +841,6 @@
options: TrainerOptions,
distributed_option: DistributedOption,
) -> None:
- assert check_argument_types()
ngpu = options.ngpu
no_forward_run = options.no_forward_run
distributed = distributed_option.distributed
--
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