From dfcc5d47587d3e793cbfec2e9509c0e9a9e1732c Mon Sep 17 00:00:00 2001
From: Dogvane Huang <dogvane@gmail.com>
Date: 星期二, 02 七月 2024 12:24:13 +0800
Subject: [PATCH] fix c# demo project to new onnx model files (#1689)
---
funasr/bin/train_ds.py | 15 +++++++++------
1 files changed, 9 insertions(+), 6 deletions(-)
diff --git a/funasr/bin/train_ds.py b/funasr/bin/train_ds.py
index d9b7679..415904e 100644
--- a/funasr/bin/train_ds.py
+++ b/funasr/bin/train_ds.py
@@ -27,7 +27,7 @@
from funasr.train_utils.trainer_ds import Trainer
from funasr.schedulers import scheduler_classes
from funasr.train_utils.initialize import initialize
-from funasr.download.download_from_hub import download_model
+from funasr.download.download_model_from_hub import download_model
from funasr.models.lora.utils import mark_only_lora_as_trainable
from funasr.train_utils.set_all_random_seed import set_all_random_seed
from funasr.train_utils.load_pretrained_model import load_pretrained_model
@@ -84,6 +84,8 @@
dist.init_process_group(backend=kwargs.get("backend", "nccl"), init_method="env://")
torch.cuda.set_device(local_rank)
+ # rank = dist.get_rank()
+
logging.info("Build model, frontend, tokenizer")
device = kwargs.get("device", "cuda")
kwargs["device"] = "cpu"
@@ -124,6 +126,7 @@
use_ddp=use_ddp,
use_fsdp=use_fsdp,
device=kwargs["device"],
+ excludes=kwargs.get("excludes", None),
output_dir=kwargs.get("output_dir", "./exp"),
**kwargs.get("train_conf"),
)
@@ -143,7 +146,7 @@
dataloader = dataloader_class(**kwargs)
# dataloader_tr, dataloader_val = dataloader_class(**kwargs)
- scaler = GradScaler(enabled=trainer.use_fp16) if trainer.use_fp16 else None
+ scaler = GradScaler(enabled=True) if trainer.use_fp16 or trainer.use_bf16 else None
scaler = ShardedGradScaler(enabled=trainer.use_fp16) if trainer.use_fsdp else scaler
trainer.resume_checkpoint(
@@ -182,10 +185,10 @@
time_escaped = (time.perf_counter() - time_slice_i) / 3600.0
logging.info(
- f"rank: {local_rank}, "
+ f"\n\nrank: {local_rank}, "
f"time_escaped_epoch: {time_escaped:.3f} hours, "
- f"estimated to finish {dataloader.data_split_num} data_slices, remaining: {(dataloader.data_split_num-data_split_i)*time_escaped:.3f} hours"
- f"epoch: {((trainer.max_epoch - epoch - 1)*dataloader.data_split_num + dataloader.data_split_num-data_split_i)*time_escaped:.3f} hours\n"
+ f"estimated to finish {dataloader.data_split_num} data_slices, remaining: {dataloader.data_split_num-data_split_i} slices, {(dataloader.data_split_num-data_split_i)*time_escaped:.3f} hours, "
+ f"epoch: {trainer.max_epoch - epoch} epochs, {((trainer.max_epoch - epoch - 1)*dataloader.data_split_num + dataloader.data_split_num-data_split_i)*time_escaped:.3f} hours\n"
)
trainer.start_data_split_i = 0
@@ -199,7 +202,7 @@
time2 = time.perf_counter()
time_escaped = (time2 - time1) / 3600.0
logging.info(
- f"rank: {local_rank}, "
+ f"\n\nrank: {local_rank}, "
f"time_escaped_epoch: {time_escaped:.3f} hours, "
f"estimated to finish {trainer.max_epoch} "
f"epoch: {(trainer.max_epoch - epoch) * time_escaped:.3f} hours\n"
--
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