From 61576f0ec4e765f9c99235594eac1aaee2b85029 Mon Sep 17 00:00:00 2001 From: ningKeep Date: Mon, 5 Dec 2022 21:10:07 +0800 Subject: [PATCH] =?UTF-8?q?=E6=9B=B4=E6=96=B0=20'qun.py'?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- qun.py | 16 +++++++--------- 1 file changed, 7 insertions(+), 9 deletions(-) diff --git a/qun.py b/qun.py index 774aca0..5986273 100644 --- a/qun.py +++ b/qun.py @@ -43,7 +43,7 @@ parser.add_argument('--sample_rate', default=8000, type=int, help='Sample rate') parser.add_argument('--segment', default=4, type=float, # 取音频的长度，2s。#数据集语音长度要相同 help='Segment length (seconds)') -parser.add_argument('--batch_size', default=2, type=int, # 需要抛弃的音频长度 +parser.add_argument('--batch_size', default=3, type=int, # 需要抛弃的音频长度 help='Batch size') # Network architecture @@ -63,7 +63,7 @@ parser.add_argument('--norm', default='gln', type=str, help='gln = "Global Norm", cln = "Cumulative Norm", ln = "Layer Norm"') parser.add_argument('--dropout', default=0.0, type=float, help='dropout') -parser.add_argument('--num_layers', default=6, type=int, +parser.add_argument('--num_layers', default=4, type=int, help='Number of Dual-Path-Block') parser.add_argument('--K', default=250, type=int, help='The length of chunk') @@ -71,7 +71,7 @@ parser.add_argument('--num_spks', default=2, type=int, help='The number of speakers') # optimizer -parser.add_argument('--lr', default=1e-3, type=float, +parser.add_argument('--lr', default=0.001, type=float, help='Init learning rate') parser.add_argument('--l2', default=1e-5, type=float, help='weight decay (L2 penalty)') @@ -112,9 +112,7 @@ def preprocess(args): print("preprocess done") def main(args): - # context.set_context(mode=context.GRAPH_MODE, device_target=args.device_target, save_graphs=True) - context.set_context(mode=context.GRAPH_MODE, device_target=args.device_target) - + context.set_context(mode=context.GRAPH_MODE, device_target=args.device_target, save_graphs=True) if args.run_distribute: print("distribute") @@ -167,8 +165,8 @@ def main(args): # tr_loader = ds.GeneratorDataset(tr_dataset, ["mixture", "lens", "sources"], num_parallel_workers=args.threads, # shuffle=False, num_shards=rank_size, shard_id=rank_id) tr_loader = ds.GeneratorDataset(tr_dataset, ["mixture", "lens", "sources"], - shuffle=False, num_shards=rank_size, shard_id=rank_id) - tr_loader = tr_loader.batch(2) + shuffle=True, num_shards=rank_size, shard_id=rank_id) + tr_loader = tr_loader.batch(4) num_steps = tr_loader.get_dataset_size() end_time = time.perf_counter() print("preparing data use: {}min".format((end_time - start_time) / 60)) @@ -196,7 +194,7 @@ def main(args): loss_cb = LossMonitor(1) cb = [time_cb, loss_cb] - config_ck = CheckpointConfig(save_checkpoint_steps=100, keep_checkpoint_max=5) + config_ck = CheckpointConfig(save_checkpoint_steps=200, keep_checkpoint_max=5) ckpt_cb = ModelCheckpoint(prefix='keepNet', directory=save_ckpt, config=config_ck) -- 2.34.1