From 6e69d784e4814c3dbe35e8f70c6cf4b920c8b20b Mon Sep 17 00:00:00 2001
From: 天地 <tiandiweizun@gmail.com>
Date: 星期三, 19 三月 2025 23:10:13 +0800
Subject: [PATCH] 1. bug fix:list(mean)和list(var)，由于mean和var是numpy，导致写入到文件的格式错误，参考上面的话，大概率是list(mean.tolist())，其实外层list没有必要 (#2437)
---
funasr/train_utils/model_summary.py | 16 ++++++++++++----
1 files changed, 12 insertions(+), 4 deletions(-)
diff --git a/funasr/train_utils/model_summary.py b/funasr/train_utils/model_summary.py
index 4e92a33..842cd21 100644
--- a/funasr/train_utils/model_summary.py
+++ b/funasr/train_utils/model_summary.py
@@ -47,10 +47,18 @@
def model_summary(model: torch.nn.Module) -> str:
message = "Model structure:\n"
message += str(model)
- # for p in model.parameters():
- # print(f"{p.numel()}")
- tot_params = sum(p.numel() for p in model.parameters())
- num_params = sum(p.numel() for p in model.parameters() if p.requires_grad)
+
+ tot_params, num_params = 0, 0
+ for name, param in model.named_parameters():
+ print(
+ "name: {}, dtype: {}, device: {}, trainable: {}, shape: {}, numel: {}".format(
+ name, param.dtype, param.device, param.requires_grad, param.shape, param.numel()
+ )
+ )
+ tot_params += param.numel()
+ if param.requires_grad:
+ num_params += param.numel()
+
percent_trainable = "{:.1f}".format(num_params * 100.0 / tot_params)
tot_params = get_human_readable_count(tot_params)
num_params = get_human_readable_count(num_params)
--
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