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trainer-log.txt
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[INFO]: current net device: eth0, ip: 172.28.0.143
[INFO]: paddle job envs:
POD_IP=job-994513c33f71513ea641c85da428a5ae-trainer-0.job-994513c33f71513ea641c85da428a5ae
PADDLE_PORT=12345
PADDLE_TRAINER_ID=0
PADDLE_TRAINERS_NUM=1
PADDLE_USE_CUDA=1
NCCL_SOCKET_IFNAME=eth0
PADDLE_IS_LOCAL=1
OUTPUT_PATH=/root/paddlejob/workspace/output
LOCAL_LOG_PATH=/root/paddlejob/workspace/log
LOCAL_MOUNT_PATH=/mnt/code_20220412215401,/mnt/datasets_20220412215402
JOB_ID=job-994513c33f71513ea641c85da428a5ae
TRAINING_ROLE=TRAINER
[INFO]: user command: python run.py
[INFO]: start trainer
~/paddlejob/workspace/code /mnt
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Sun_Jul_28_19:07:16_PDT_2019
Cuda compilation tools, release 10.1, V10.1.243
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple, https://pypi.tuna.tsinghua.edu.cn/simple
Collecting filelock
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/cd/f1/ba7dee3de0e9d3b8634d6fbaa5d0d407a7da64620305d147298b683e5c36/filelock-3.6.0-py3-none-any.whl (10.0 kB)
Installing collected packages: filelock
Successfully installed filelock-3.6.0
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
WARNING: You are using pip version 21.3.1; however, version 22.0.4 is available.
You should consider upgrading via the '/opt/_internal/cpython-3.7.0/bin/python -m pip install --upgrade pip' command.
CCNet.zip
data
run.py
run.sh
Archive: CCNet.zip
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WARNING 2022-04-12 21:55:03,701 launch.py:423] Not found distinct arguments and compiled with cuda or xpu. Default use collective mode
INFO 2022-04-12 21:55:03,703 launch_utils.py:528] Local start 4 processes. First process distributed environment info (Only For Debug):
+=======================================================================================+
| Distributed Envs Value |
+---------------------------------------------------------------------------------------+
| PADDLE_TRAINER_ID 0 |
| PADDLE_CURRENT_ENDPOINT 127.0.0.1:50615 |
| PADDLE_TRAINERS_NUM 4 |
| PADDLE_TRAINER_ENDPOINTS ... 0.1:45747,127.0.0.1:51319,127.0.0.1:42343|
| PADDLE_RANK_IN_NODE 0 |
| PADDLE_LOCAL_DEVICE_IDS 0 |
| PADDLE_WORLD_DEVICE_IDS 0,1,2,3 |
| FLAGS_selected_gpus 0 |
| FLAGS_selected_accelerators 0 |
+=======================================================================================+
INFO 2022-04-12 21:55:03,703 launch_utils.py:532] details abouts PADDLE_TRAINER_ENDPOINTS can be found in log/endpoints.log, and detail running logs maybe found in log/workerlog.0
----------- Configuration Arguments -----------
backend: auto
elastic_server: None
force: False
gpus: None
heter_devices:
heter_worker_num: None
heter_workers:
host: None
http_port: None
ips: 127.0.0.1
job_id: None
log_dir: log
np: None
nproc_per_node: None
run_mode: None
scale: 0
server_num: None
servers:
training_script: train.py
training_script_args: ['--config', 'configs/ccnet/ccnet_resnet101_os8_cityscapes_769x769_60k.yml', '--num_workers', '8', '--do_eval', '--use_vdl', '--log_iter', '50', '--save_interval', '4000', '--save_dir', '/root/paddlejob/workspace/output']
worker_num: None
workers:
------------------------------------------------
launch train in GPU mode!
launch proc_id:574 idx:0
launch proc_id:577 idx:1
launch proc_id:580 idx:2
launch proc_id:583 idx:3
2022-04-12 21:55:51 [INFO]
------------Environment Information-------------
platform: Linux-4.4.0-150-generic-x86_64-with-centos-6.10-Final
Python: 3.7.0 (default, Nov 24 2018, 08:51:28) [GCC 4.8.2 20140120 (Red Hat 4.8.2-15)]
Paddle compiled with cuda: True
NVCC: Cuda compilation tools, release 10.1, V10.1.243
cudnn: 7.6
GPUs used: 4
CUDA_VISIBLE_DEVICES: None
GPU: ['GPU 0: Tesla V100-SXM2-32GB', 'GPU 1: Tesla V100-SXM2-32GB', 'GPU 2: Tesla V100-SXM2-32GB', 'GPU 3: Tesla V100-SXM2-32GB']
GCC: gcc (GCC) 4.8.2 20140120 (Red Hat 4.8.2-15)
PaddleSeg: 2.4.0
PaddlePaddle: 2.2.2
OpenCV: 4.1.1
------------------------------------------------
2022-04-12 21:55:51 [INFO]
---------------Config Information---------------
batch_size: 2
iters: 60000
loss:
coef:
- 1
- 0.4
types:
- ignore_index: 255
type: OhemCrossEntropyLoss
- ignore_index: 255
type: CrossEntropyLoss
lr_scheduler:
end_lr: 0.0001
learning_rate: 0.01
power: 0.9
type: PolynomialDecay
model:
backbone:
output_stride: 8
pretrained: https://bj.bcebos.com/paddleseg/dygraph/resnet101_vd_ssld.tar.gz
type: ResNet101_vd
backbone_indices:
- 2
- 3
dropout_prob: 0.1
enable_auxiliary_loss: true
recurrence: 2
type: CCNet
optimizer:
momentum: 0.9
type: sgd
weight_decay: 4.0e-05
train_dataset:
dataset_root: data/cityscapes
mode: train
transforms:
- max_scale_factor: 2.0
min_scale_factor: 0.5
scale_step_size: 0.25
type: ResizeStepScaling
- crop_size:
- 769
- 769
type: RandomPaddingCrop
- type: RandomHorizontalFlip
- brightness_range: 0.4
contrast_range: 0.4
saturation_range: 0.4
type: RandomDistort
- type: Normalize
type: Cityscapes
val_dataset:
dataset_root: data/cityscapes
mode: val
transforms:
- target_size:
- 2049
- 1025
type: Padding
- type: Normalize
type: Cityscapes
------------------------------------------------
W0412 21:55:51.379340 574 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 10.1, Runtime API Version: 10.1
W0412 21:55:51.379395 574 device_context.cc:465] device: 0, cuDNN Version: 7.6.
2022-04-12 21:56:01 [INFO] Loading pretrained model from https://bj.bcebos.com/paddleseg/dygraph/resnet101_vd_ssld.tar.gz
2022-04-12 21:56:09 [INFO] There are 530/530 variables loaded into ResNet_vd.
server not ready, wait 3 sec to retry...
not ready endpoints:['127.0.0.1:42343']
I0412 21:56:12.100757 574 nccl_context.cc:74] init nccl context nranks: 4 local rank: 0 gpu id: 0 ring id: 0
I0412 21:56:12.698354 574 nccl_context.cc:107] init nccl context nranks: 4 local rank: 0 gpu id: 0 ring id: 10
2022-04-12 21:56:13,052-INFO: [topology.py:169:__init__] HybridParallelInfo: rank_id: 0, mp_degree: 1, sharding_degree: 1, pp_degree: 1, dp_degree: 4, mp_group: [0], sharding_group: [0], pp_group: [0], dp_group: [0, 1, 2, 3], check/clip group: [0]
/opt/_internal/cpython-3.7.0/lib/python3.7/site-packages/paddle/fluid/dygraph/math_op_patch.py:253: UserWarning: The dtype of left and right variables are not the same, left dtype is paddle.float32, but right dtype is paddle.int64, the right dtype will convert to paddle.float32
format(lhs_dtype, rhs_dtype, lhs_dtype))
2022-04-12 21:56:57 [INFO] [TRAIN] epoch: 1, iter: 50/60000, loss: 2.5357, lr: 0.009993, batch_cost: 0.8877, reader_cost: 0.05655, ips: 2.2530 samples/sec | ETA 14:46:57
2022-04-12 21:57:39 [INFO] [TRAIN] epoch: 1, iter: 100/60000, loss: 2.0075, lr: 0.009985, batch_cost: 0.8343, reader_cost: 0.00021, ips: 2.3971 samples/sec | ETA 13:52:57
2022-04-12 21:58:21 [INFO] [TRAIN] epoch: 1, iter: 150/60000, loss: 1.7502, lr: 0.009978, batch_cost: 0.8387, reader_cost: 0.00019, ips: 2.3846 samples/sec | ETA 13:56:38
2022-04-12 21:59:03 [INFO] [TRAIN] epoch: 1, iter: 200/60000, loss: 1.6826, lr: 0.009970, batch_cost: 0.8412, reader_cost: 0.00019, ips: 2.3776 samples/sec | ETA 13:58:23
2022-04-12 21:59:45 [INFO] [TRAIN] epoch: 1, iter: 250/60000, loss: 1.5432, lr: 0.009963, batch_cost: 0.8430, reader_cost: 0.00020, ips: 2.3726 samples/sec | ETA 13:59:26
2022-04-12 22:00:27 [INFO] [TRAIN] epoch: 1, iter: 300/60000, loss: 1.4782, lr: 0.009956, batch_cost: 0.8439, reader_cost: 0.00019, ips: 2.3700 samples/sec | ETA 13:59:39
2022-04-12 22:01:09 [INFO] [TRAIN] epoch: 1, iter: 350/60000, loss: 1.7208, lr: 0.009948, batch_cost: 0.8448, reader_cost: 0.00024, ips: 2.3675 samples/sec | ETA 13:59:50
2022-04-12 22:01:54 [INFO] [TRAIN] epoch: 2, iter: 400/60000, loss: 1.7254, lr: 0.009941, batch_cost: 0.8992, reader_cost: 0.04687, ips: 2.2242 samples/sec | ETA 14:53:11
2022-04-12 22:02:37 [INFO] [TRAIN] epoch: 2, iter: 450/60000, loss: 1.5980, lr: 0.009933, batch_cost: 0.8458, reader_cost: 0.00025, ips: 2.3646 samples/sec | ETA 13:59:28
2022-04-12 22:03:19 [INFO] [TRAIN] epoch: 2, iter: 500/60000, loss: 1.5814, lr: 0.009926, batch_cost: 0.8449, reader_cost: 0.00019, ips: 2.3672 samples/sec | ETA 13:57:50
2022-04-12 22:04:01 [INFO] [TRAIN] epoch: 2, iter: 550/60000, loss: 1.4465, lr: 0.009918, batch_cost: 0.8488, reader_cost: 0.00020, ips: 2.3563 samples/sec | ETA 14:00:59
2022-04-12 22:04:44 [INFO] [TRAIN] epoch: 2, iter: 600/60000, loss: 1.2910, lr: 0.009911, batch_cost: 0.8471, reader_cost: 0.00024, ips: 2.3611 samples/sec | ETA 13:58:36
2022-04-12 22:05:26 [INFO] [TRAIN] epoch: 2, iter: 650/60000, loss: 1.3977, lr: 0.009904, batch_cost: 0.8469, reader_cost: 0.00024, ips: 2.3616 samples/sec | ETA 13:57:41
2022-04-12 22:06:08 [INFO] [TRAIN] epoch: 2, iter: 700/60000, loss: 1.3979, lr: 0.009896, batch_cost: 0.8460, reader_cost: 0.00022, ips: 2.3640 samples/sec | ETA 13:56:10
2022-04-12 22:06:54 [INFO] [TRAIN] epoch: 3, iter: 750/60000, loss: 1.3279, lr: 0.009889, batch_cost: 0.9056, reader_cost: 0.05298, ips: 2.2084 samples/sec | ETA 14:54:18
2022-04-12 22:07:36 [INFO] [TRAIN] epoch: 3, iter: 800/60000, loss: 1.2673, lr: 0.009881, batch_cost: 0.8467, reader_cost: 0.00026, ips: 2.3620 samples/sec | ETA 13:55:26
2022-04-12 22:08:18 [INFO] [TRAIN] epoch: 3, iter: 850/60000, loss: 1.3308, lr: 0.009874, batch_cost: 0.8466, reader_cost: 0.00020, ips: 2.3625 samples/sec | ETA 13:54:34
2022-04-12 22:09:00 [INFO] [TRAIN] epoch: 3, iter: 900/60000, loss: 1.4305, lr: 0.009866, batch_cost: 0.8448, reader_cost: 0.00022, ips: 2.3674 samples/sec | ETA 13:52:08
2022-04-12 22:09:43 [INFO] [TRAIN] epoch: 3, iter: 950/60000, loss: 1.3522, lr: 0.009859, batch_cost: 0.8513, reader_cost: 0.00024, ips: 2.3494 samples/sec | ETA 13:57:47
2022-04-12 22:10:25 [INFO] [TRAIN] epoch: 3, iter: 1000/60000, loss: 1.3807, lr: 0.009852, batch_cost: 0.8442, reader_cost: 0.00024, ips: 2.3691 samples/sec | ETA 13:50:08
2022-04-12 22:11:07 [INFO] [TRAIN] epoch: 3, iter: 1050/60000, loss: 1.3561, lr: 0.009844, batch_cost: 0.8447, reader_cost: 0.00020, ips: 2.3677 samples/sec | ETA 13:49:56
2022-04-12 22:11:50 [INFO] [TRAIN] epoch: 3, iter: 1100/60000, loss: 1.3273, lr: 0.009837, batch_cost: 0.8450, reader_cost: 0.00024, ips: 2.3669 samples/sec | ETA 13:49:30
2022-04-12 22:12:35 [INFO] [TRAIN] epoch: 4, iter: 1150/60000, loss: 1.2773, lr: 0.009829, batch_cost: 0.8998, reader_cost: 0.05038, ips: 2.2226 samples/sec | ETA 14:42:35
2022-04-12 22:13:17 [INFO] [TRAIN] epoch: 4, iter: 1200/60000, loss: 1.4077, lr: 0.009822, batch_cost: 0.8447, reader_cost: 0.00027, ips: 2.3677 samples/sec | ETA 13:47:48
2022-04-12 22:13:59 [INFO] [TRAIN] epoch: 4, iter: 1250/60000, loss: 1.2881, lr: 0.009814, batch_cost: 0.8456, reader_cost: 0.00023, ips: 2.3652 samples/sec | ETA 13:47:58
2022-04-12 22:14:42 [INFO] [TRAIN] epoch: 4, iter: 1300/60000, loss: 1.2873, lr: 0.009807, batch_cost: 0.8475, reader_cost: 0.00020, ips: 2.3599 samples/sec | ETA 13:49:07
2022-04-12 22:15:24 [INFO] [TRAIN] epoch: 4, iter: 1350/60000, loss: 1.2308, lr: 0.009799, batch_cost: 0.8448, reader_cost: 0.00021, ips: 2.3673 samples/sec | ETA 13:45:50
2022-04-12 22:16:06 [INFO] [TRAIN] epoch: 4, iter: 1400/60000, loss: 1.2942, lr: 0.009792, batch_cost: 0.8447, reader_cost: 0.00022, ips: 2.3676 samples/sec | ETA 13:45:00
2022-04-12 22:16:48 [INFO] [TRAIN] epoch: 4, iter: 1450/60000, loss: 1.2134, lr: 0.009785, batch_cost: 0.8479, reader_cost: 0.00025, ips: 2.3587 samples/sec | ETA 13:47:26
2022-04-12 22:17:33 [INFO] [TRAIN] epoch: 5, iter: 1500/60000, loss: 1.2633, lr: 0.009777, batch_cost: 0.8922, reader_cost: 0.03596, ips: 2.2415 samples/sec | ETA 14:29:56
2022-04-12 22:18:15 [INFO] [TRAIN] epoch: 5, iter: 1550/60000, loss: 1.2149, lr: 0.009770, batch_cost: 0.8446, reader_cost: 0.00023, ips: 2.3681 samples/sec | ETA 13:42:44
2022-04-12 22:18:58 [INFO] [TRAIN] epoch: 5, iter: 1600/60000, loss: 1.2558, lr: 0.009762, batch_cost: 0.8440, reader_cost: 0.00021, ips: 2.3698 samples/sec | ETA 13:41:27
2022-04-12 22:19:40 [INFO] [TRAIN] epoch: 5, iter: 1650/60000, loss: 1.2827, lr: 0.009755, batch_cost: 0.8453, reader_cost: 0.00020, ips: 2.3661 samples/sec | ETA 13:42:00
2022-04-12 22:20:22 [INFO] [TRAIN] epoch: 5, iter: 1700/60000, loss: 1.3534, lr: 0.009747, batch_cost: 0.8481, reader_cost: 0.00024, ips: 2.3582 samples/sec | ETA 13:44:03
2022-04-12 22:21:04 [INFO] [TRAIN] epoch: 5, iter: 1750/60000, loss: 1.1914, lr: 0.009740, batch_cost: 0.8447, reader_cost: 0.00023, ips: 2.3676 samples/sec | ETA 13:40:05
2022-04-12 22:21:47 [INFO] [TRAIN] epoch: 5, iter: 1800/60000, loss: 1.2750, lr: 0.009732, batch_cost: 0.8445, reader_cost: 0.00019, ips: 2.3682 samples/sec | ETA 13:39:12
2022-04-12 22:22:29 [INFO] [TRAIN] epoch: 5, iter: 1850/60000, loss: 1.2999, lr: 0.009725, batch_cost: 0.8438, reader_cost: 0.00019, ips: 2.3703 samples/sec | ETA 13:37:46
2022-04-12 22:23:14 [INFO] [TRAIN] epoch: 6, iter: 1900/60000, loss: 1.2093, lr: 0.009718, batch_cost: 0.9034, reader_cost: 0.04851, ips: 2.2138 samples/sec | ETA 14:34:49
2022-04-12 22:23:56 [INFO] [TRAIN] epoch: 6, iter: 1950/60000, loss: 1.2373, lr: 0.009710, batch_cost: 0.8484, reader_cost: 0.00024, ips: 2.3573 samples/sec | ETA 13:40:50
2022-04-12 22:24:39 [INFO] [TRAIN] epoch: 6, iter: 2000/60000, loss: 1.2480, lr: 0.009703, batch_cost: 0.8480, reader_cost: 0.00020, ips: 2.3584 samples/sec | ETA 13:39:45
2022-04-12 22:25:21 [INFO] [TRAIN] epoch: 6, iter: 2050/60000, loss: 1.2182, lr: 0.009695, batch_cost: 0.8494, reader_cost: 0.00026, ips: 2.3547 samples/sec | ETA 13:40:20
2022-04-12 22:26:04 [INFO] [TRAIN] epoch: 6, iter: 2100/60000, loss: 1.1760, lr: 0.009688, batch_cost: 0.8476, reader_cost: 0.00027, ips: 2.3597 samples/sec | ETA 13:37:54
2022-04-12 22:26:46 [INFO] [TRAIN] epoch: 6, iter: 2150/60000, loss: 1.2458, lr: 0.009680, batch_cost: 0.8490, reader_cost: 0.00023, ips: 2.3557 samples/sec | ETA 13:38:35