From d50edc297a7e6d944a244a84adf68b8bcce5a057 Mon Sep 17 00:00:00 2001
From: nsdou <168500039+nsdou@users.noreply.github.com>
Date: 星期三, 15 五月 2024 17:48:37 +0800
Subject: [PATCH] Fix incorrect assignment of 'end' attribute to 'start' in sentences list comprehension (#1680)
---
funasr/train_utils/model_summary.py | 6 +++---
1 files changed, 3 insertions(+), 3 deletions(-)
diff --git a/funasr/train_utils/model_summary.py b/funasr/train_utils/model_summary.py
index 1001160..4e92a33 100644
--- a/funasr/train_utils/model_summary.py
+++ b/funasr/train_utils/model_summary.py
@@ -47,6 +47,8 @@
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)
percent_trainable = "{:.1f}".format(num_params * 100.0 / tot_params)
@@ -55,9 +57,7 @@
message += "\n\nModel summary:\n"
message += f" Class Name: {model.__class__.__name__}\n"
message += f" Total Number of model parameters: {tot_params}\n"
- message += (
- f" Number of trainable parameters: {num_params} ({percent_trainable}%)\n"
- )
+ message += f" Number of trainable parameters: {num_params} ({percent_trainable}%)\n"
dtype = next(iter(model.parameters())).dtype
message += f" Type: {dtype}"
--
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