a606ce8
update lzfxxx 6 years ago
10 changed file(s) with 464 addition(s) and 36 deletion(s). Raw diff Collapse all Expand all
+2
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checkpoints/maps_cyclegan/loss_log.txt less more
0 ================ Training Loss (Wed Sep 11 08:38:57 2019) ================
1 ================ Training Loss (Wed Sep 11 09:18:57 2019) ================
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checkpoints/maps_cyclegan/train_opt.txt less more
0 ----------------- Options ---------------
1 batch_size: 1
2 beta1: 0.5
3 checkpoints_dir: ./checkpoints
4 continue_train: False
5 crop_size: 256
6 dataroot: ./datasets/maps [default: None]
7 dataset_mode: unaligned
8 direction: AtoB
9 display_env: main
10 display_freq: 400
11 display_id: 1
12 display_ncols: 4
13 display_port: 8097
14 display_server: http://localhost
15 display_winsize: 256
16 epoch: latest
17 epoch_count: 1
18 gan_mode: lsgan
19 gpu_ids: -1 [default: 0]
20 init_gain: 0.02
21 init_type: normal
22 input_nc: 3
23 isTrain: True [default: None]
24 lambda_A: 10.0
25 lambda_B: 10.0
26 lambda_identity: 0.5
27 load_iter: 0 [default: 0]
28 load_size: 286
29 lr: 0.0002
30 lr_decay_iters: 50
31 lr_policy: linear
32 max_dataset_size: inf
33 model: cycle_gan
34 n_layers_D: 3
35 name: maps_cyclegan [default: experiment_name]
36 ndf: 64
37 netD: basic
38 netG: resnet_9blocks
39 ngf: 64
40 niter: 100
41 niter_decay: 100
42 no_dropout: True
43 no_flip: False
44 no_html: False
45 norm: instance
46 num_threads: 4
47 output_nc: 3
48 phase: train
49 pool_size: 50
50 preprocess: resize_and_crop
51 print_freq: 100
52 save_by_iter: False
53 save_epoch_freq: 5
54 save_latest_freq: 5000
55 serial_batches: False
56 suffix:
57 update_html_freq: 1000
58 verbose: False
59 ----------------- End -------------------
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coding_here.ipynb less more
0
1 {
2 "cells": [
3 {
4 "cell_type": "code",
5 "execution_count": null,
6 "metadata": {},
7 "outputs": [],
8 "source": [
9 "print('Hello Mo!')"
10 ]
11 }
12 ],
13 "metadata": {
14 "kernelspec": {
15 "display_name": "Python 3",
16 "language": "python",
17 "name": "python3"
18 },
19 "language_info": {
20 "codemirror_mode": {
21 "name": "ipython",
22 "version": 3
23 },
24 "file_extension": ".py",
25 "mimetype": "text/x-python",
26 "name": "python",
27 "nbconvert_exporter": "python",
28 "pygments_lexer": "ipython3",
29 "version": "3.5.2"
30 }
31 },
32 "nbformat": 4,
33 "nbformat_minor": 2
34 }
35 ⏎
0 {
1 "cells": [
2 {
3 "cell_type": "code",
4 "execution_count": 1,
5 "metadata": {},
6 "outputs": [
7 {
8 "name": "stdout",
9 "output_type": "stream",
10 "text": [
11 "Hello Mo!\n"
12 ]
13 }
14 ],
15 "source": [
16 "print('Hello Mo!')"
17 ]
18 },
19 {
20 "cell_type": "code",
21 "execution_count": 2,
22 "metadata": {},
23 "outputs": [
24 {
25 "name": "stdout",
26 "output_type": "stream",
27 "text": [
28 "\u001b[33mWARNING: The directory '/home/jovyan/.cache/pip/http' or its parent directory is not owned by the current user and the cache has been disabled. Please check the permissions and owner of that directory. If executing pip with sudo, you may want sudo's -H flag.\u001b[0m\n",
29 "\u001b[33mWARNING: The directory '/home/jovyan/.cache/pip' or its parent directory is not owned by the current user and caching wheels has been disabled. check the permissions and owner of that directory. If executing pip with sudo, you may want sudo's -H flag.\u001b[0m\n",
30 "Looking in indexes: https://mirrors.ustc.edu.cn/pypi/web/simple\n",
31 "Collecting dominate\n",
32 "\u001b[33m WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError(\"HTTPSConnectionPool(host='mirrors.ustc.edu.cn', port=443): Read timed out. (read timeout=15)\",)': /pypi/web/simple/dominate/\u001b[0m\n",
33 " Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/1d/64/593e829416c951eb35c2246430d59b86f640087e29e71f32632bcde5d0f7/dominate-2.4.0-py2.py3-none-any.whl\n",
34 "Installing collected packages: dominate\n",
35 "Successfully installed dominate-2.4.0\n"
36 ]
37 }
38 ],
39 "source": [
40 "!pip install dominate"
41 ]
42 },
43 {
44 "cell_type": "code",
45 "execution_count": 2,
46 "metadata": {},
47 "outputs": [
48 {
49 "name": "stdout",
50 "output_type": "stream",
51 "text": [
52 "\u001b[33mWARNING: The directory '/home/jovyan/.cache/pip/http' or its parent directory is not owned by the current user and the cache has been disabled. Please check the permissions and owner of that directory. If executing pip with sudo, you may want sudo's -H flag.\u001b[0m\n",
53 "\u001b[33mWARNING: The directory '/home/jovyan/.cache/pip' or its parent directory is not owned by the current user and caching wheels has been disabled. check the permissions and owner of that directory. If executing pip with sudo, you may want sudo's -H flag.\u001b[0m\n",
54 "Looking in indexes: https://mirrors.ustc.edu.cn/pypi/web/simple\n",
55 "Collecting visdom\n",
56 "\u001b[?25l Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/97/c4/5f5356fd57ae3c269e0e31601ea6487e0622fedc6756a591e4a5fd66cc7a/visdom-0.1.8.8.tar.gz (1.4MB)\n",
57 "\u001b[K |████████████████████████████████| 1.4MB 1.6MB/s eta 0:00:01\n",
58 "\u001b[?25hRequirement already satisfied: numpy>=1.8 in /home/jovyan/.virtualenvs/basenv/lib/python3.5/site-packages (from visdom) (1.16.0)\n",
59 "Requirement already satisfied: scipy in /home/jovyan/.virtualenvs/basenv/lib/python3.5/site-packages (from visdom) (1.3.1)\n",
60 "Requirement already satisfied: requests in /home/jovyan/.virtualenvs/basenv/lib/python3.5/site-packages (from visdom) (2.22.0)\n",
61 "Requirement already satisfied: tornado in /home/jovyan/.virtualenvs/basenv/lib/python3.5/site-packages (from visdom) (6.0.3)\n",
62 "Requirement already satisfied: pyzmq in /home/jovyan/.virtualenvs/basenv/lib/python3.5/site-packages (from visdom) (18.1.0)\n",
63 "Requirement already satisfied: six in /home/jovyan/.virtualenvs/basenv/lib/python3.5/site-packages (from visdom) (1.12.0)\n",
64 "Collecting torchfile (from visdom)\n",
65 " Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/91/af/5b305f86f2d218091af657ddb53f984ecbd9518ca9fe8ef4103a007252c9/torchfile-0.1.0.tar.gz\n",
66 "Collecting websocket-client (from visdom)\n",
67 "\u001b[?25l Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/29/19/44753eab1fdb50770ac69605527e8859468f3c0fd7dc5a76dd9c4dbd7906/websocket_client-0.56.0-py2.py3-none-any.whl (200kB)\n",
68 "\u001b[K |████████████████████████████████| 204kB 50.1MB/s eta 0:00:01\n",
69 "\u001b[?25hRequirement already satisfied: pillow in /home/jovyan/.virtualenvs/basenv/lib/python3.5/site-packages (from visdom) (6.1.0)\n",
70 "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /home/jovyan/.virtualenvs/basenv/lib/python3.5/site-packages (from requests->visdom) (1.25.3)\n",
71 "Requirement already satisfied: idna<2.9,>=2.5 in /home/jovyan/.virtualenvs/basenv/lib/python3.5/site-packages (from requests->visdom) (2.8)\n",
72 "Requirement already satisfied: certifi>=2017.4.17 in /home/jovyan/.virtualenvs/basenv/lib/python3.5/site-packages (from requests->visdom) (2019.6.16)\n",
73 "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /home/jovyan/.virtualenvs/basenv/lib/python3.5/site-packages (from requests->visdom) (3.0.4)\n",
74 "Building wheels for collected packages: visdom, torchfile\n",
75 "\u001b[33m WARNING: Building wheel for visdom failed: [Errno 13] Permission denied: '/home/jovyan/.cache/pip/wheels/65'\u001b[0m\n",
76 "\u001b[33m WARNING: Building wheel for torchfile failed: [Errno 13] Permission denied: '/home/jovyan/.cache/pip/wheels/b7'\u001b[0m\n",
77 "Failed to build visdom torchfile\n",
78 "Installing collected packages: torchfile, websocket-client, visdom\n",
79 " Running setup.py install for torchfile ... \u001b[?25ldone\n",
80 "\u001b[?25h Running setup.py install for visdom ... \u001b[?25ldone\n",
81 "\u001b[?25hSuccessfully installed torchfile-0.1.0 visdom-0.1.8.8 websocket-client-0.56.0\n"
82 ]
83 }
84 ],
85 "source": [
86 "!pip install visdom"
87 ]
88 },
89 {
90 "cell_type": "code",
91 "execution_count": null,
92 "metadata": {},
93 "outputs": [
94 {
95 "name": "stdout",
96 "output_type": "stream",
97 "text": [
98 "Checking for scripts.\n",
99 "It's Alive!\n",
100 "INFO:root:Application Started\n",
101 "You can navigate to http://jupyter-4f4549ll415a47504b0lu4dc49ss44042a4ftm5f47h48h92da34a0x:8097\n"
102 ]
103 }
104 ],
105 "source": [
106 "!python -m visdom.server"
107 ]
108 },
109 {
110 "cell_type": "code",
111 "execution_count": 2,
112 "metadata": {},
113 "outputs": [
114 {
115 "data": {
116 "text/plain": [
117 "'/home/jovyan/work'"
118 ]
119 },
120 "execution_count": 2,
121 "metadata": {},
122 "output_type": "execute_result"
123 }
124 ],
125 "source": [
126 "pwd"
127 ]
128 },
129 {
130 "cell_type": "code",
131 "execution_count": null,
132 "metadata": {},
133 "outputs": [],
134 "source": []
135 }
136 ],
137 "metadata": {
138 "kernelspec": {
139 "display_name": "Python 3",
140 "language": "python",
141 "name": "python3"
142 },
143 "language_info": {
144 "codemirror_mode": {
145 "name": "ipython",
146 "version": 3
147 },
148 "file_extension": ".py",
149 "mimetype": "text/x-python",
150 "name": "python",
151 "nbconvert_exporter": "python",
152 "pygments_lexer": "ipython3",
153 "version": "3.5.2"
154 }
155 },
156 "nbformat": 4,
157 "nbformat_minor": 2
158 }
+12
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job_logs/job-gpu-5d7751eb71a3ff591c20e4b1.log less more
0 2019-09-10T07:39:38.898953428Z SYSTEM: Preparing env...
1 2019-09-10T07:39:54.86985243Z SYSTEM: Running...
2 2019-09-10T07:39:57.448889952Z Traceback (most recent call last):
3 2019-09-10T07:39:57.448949004Z File "train.py", line 25, in <module>
4 2019-09-10T07:39:57.448958677Z from util.visualizer import Visualizer
5 2019-09-10T07:39:57.448964742Z File "/home/jovyan/work/util/visualizer.py", line 6, in <module>
6 2019-09-10T07:39:57.448970487Z from . import util, html
7 2019-09-10T07:39:57.448975507Z File "/home/jovyan/work/util/html.py", line 1, in <module>
8 2019-09-10T07:39:57.448981153Z import dominate
9 2019-09-10T07:39:57.448986547Z ImportError: No module named 'dominate'
10 2019-09-10T07:39:57.959863152Z SYSTEM: Finishing...
11 2019-09-10T07:40:00.184160049Z SYSTEM: Error Exists!
+8
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job_logs/job-gpu-5d7764e944d8594f81ed85ec.log less more
0 2019-09-10T09:00:28.731876001Z SYSTEM: Preparing env...
1 2019-09-10T09:00:44.875879336Z SYSTEM: Running...
2 2019-09-10T09:00:46.607916997Z Traceback (most recent call last):
3 2019-09-10T09:00:46.607965097Z File "train.py", line 22, in <module>
4 2019-09-10T09:00:46.607974098Z from options.train_options import TrainOptions
5 2019-09-10T09:00:46.607979539Z ImportError: No module named 'options'
6 2019-09-10T09:00:47.032044929Z SYSTEM: Finishing...
7 2019-09-10T09:00:49.371681661Z SYSTEM: Error Exists!
+29
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job_logs/job-gpu-5d7766d8c554119d03c54233.log less more
0 2019-09-10T09:12:10.91632254Z SYSTEM: Preparing env...
1 2019-09-10T09:12:28.019481469Z SYSTEM: Running...
2 2019-09-10T09:12:30.527888832Z usage: train.py [-h] --dataroot DATAROOT [--name NAME] [--gpu_ids GPU_IDS]
3 2019-09-10T09:12:30.527937178Z [--checkpoints_dir CHECKPOINTS_DIR] [--model MODEL]
4 2019-09-10T09:12:30.527941755Z [--input_nc INPUT_NC] [--output_nc OUTPUT_NC] [--ngf NGF]
5 2019-09-10T09:12:30.527945098Z [--ndf NDF] [--netD NETD] [--netG NETG]
6 2019-09-10T09:12:30.527948321Z [--n_layers_D N_LAYERS_D] [--norm NORM]
7 2019-09-10T09:12:30.527951323Z [--init_type INIT_TYPE] [--init_gain INIT_GAIN] [--no_dropout]
8 2019-09-10T09:12:30.527954628Z [--dataset_mode DATASET_MODE] [--direction DIRECTION]
9 2019-09-10T09:12:30.527957506Z [--serial_batches] [--num_threads NUM_THREADS]
10 2019-09-10T09:12:30.527960398Z [--batch_size BATCH_SIZE] [--load_size LOAD_SIZE]
11 2019-09-10T09:12:30.527963108Z [--crop_size CROP_SIZE] [--max_dataset_size MAX_DATASET_SIZE]
12 2019-09-10T09:12:30.527965943Z [--preprocess PREPROCESS] [--no_flip]
13 2019-09-10T09:12:30.527968671Z [--display_winsize DISPLAY_WINSIZE] [--epoch EPOCH]
14 2019-09-10T09:12:30.527971593Z [--load_iter LOAD_ITER] [--verbose] [--suffix SUFFIX]
15 2019-09-10T09:12:30.527991563Z [--display_freq DISPLAY_FREQ] [--display_ncols DISPLAY_NCOLS]
16 2019-09-10T09:12:30.527995651Z [--display_id DISPLAY_ID] [--display_server DISPLAY_SERVER]
17 2019-09-10T09:12:30.527998428Z [--display_env DISPLAY_ENV] [--display_port DISPLAY_PORT]
18 2019-09-10T09:12:30.528001266Z [--update_html_freq UPDATE_HTML_FREQ]
19 2019-09-10T09:12:30.528003985Z [--print_freq PRINT_FREQ] [--no_html]
20 2019-09-10T09:12:30.528006728Z [--save_latest_freq SAVE_LATEST_FREQ]
21 2019-09-10T09:12:30.528009433Z [--save_epoch_freq SAVE_EPOCH_FREQ] [--save_by_iter]
22 2019-09-10T09:12:30.528012256Z [--continue_train] [--epoch_count EPOCH_COUNT] [--phase PHASE]
23 2019-09-10T09:12:30.528015402Z [--niter NITER] [--niter_decay NITER_DECAY] [--beta1 BETA1]
24 2019-09-10T09:12:30.528018125Z [--lr LR] [--gan_mode GAN_MODE] [--pool_size POOL_SIZE]
25 2019-09-10T09:12:30.52802086Z [--lr_policy LR_POLICY] [--lr_decay_iters LR_DECAY_ITERS]
26 2019-09-10T09:12:30.528023782Z train.py: error: the following arguments are required: --dataroot
27 2019-09-10T09:12:31.128608875Z SYSTEM: Finishing...
28 2019-09-10T09:12:33.299480947Z SYSTEM: Error Exists!
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job_logs/job-gpu-5d7995eefbf236af01f6d053.log less more
0 2019-09-12T00:54:10.783943782Z SYSTEM: Preparing env...
1 2019-09-12T00:54:26.296868274Z SYSTEM: Running...
2 2019-09-12T00:54:28.692301823Z ----------------- Options ---------------
3 2019-09-12T00:54:28.692350383Z batch_size: 1
4 2019-09-12T00:54:28.692357451Z beta1: 0.5
5 2019-09-12T00:54:28.692362002Z checkpoints_dir: ./checkpoints
6 2019-09-12T00:54:28.692366242Z continue_train: False
7 2019-09-12T00:54:28.692370538Z crop_size: 256
8 2019-09-12T00:54:28.692375113Z dataroot: ./datasets/maps [default: None]
9 2019-09-12T00:54:28.692379931Z dataset_mode: unaligned
10 2019-09-12T00:54:28.692384384Z direction: AtoB
11 2019-09-12T00:54:28.692388553Z display_env: main
12 2019-09-12T00:54:28.692393232Z display_freq: 400
13 2019-09-12T00:54:28.692397656Z display_id: 1
14 2019-09-12T00:54:28.692402638Z display_ncols: 4
15 2019-09-12T00:54:28.692407228Z display_port: 8097
16 2019-09-12T00:54:28.692414438Z display_server: http://localhost
17 2019-09-12T00:54:28.692419194Z display_winsize: 256
18 2019-09-12T00:54:28.692423896Z epoch: latest
19 2019-09-12T00:54:28.692428602Z epoch_count: 1
20 2019-09-12T00:54:28.692433783Z gan_mode: lsgan
21 2019-09-12T00:54:28.692444226Z gpu_ids: 0
22 2019-09-12T00:54:28.692450324Z init_gain: 0.02
23 2019-09-12T00:54:28.692455148Z init_type: normal
24 2019-09-12T00:54:28.692460124Z input_nc: 3
25 2019-09-12T00:54:28.692464589Z isTrain: True [default: None]
26 2019-09-12T00:54:28.692470253Z lambda_A: 10.0
27 2019-09-12T00:54:28.692474546Z lambda_B: 10.0
28 2019-09-12T00:54:28.692478781Z lambda_identity: 0.5
29 2019-09-12T00:54:28.692483278Z load_iter: 0 [default: 0]
30 2019-09-12T00:54:28.692487878Z load_size: 286
31 2019-09-12T00:54:28.692492078Z lr: 0.0002
32 2019-09-12T00:54:28.692510073Z lr_decay_iters: 50
33 2019-09-12T00:54:28.692515409Z lr_policy: linear
34 2019-09-12T00:54:28.692520094Z max_dataset_size: inf
35 2019-09-12T00:54:28.692524482Z model: cycle_gan
36 2019-09-12T00:54:28.692530913Z n_layers_D: 3
37 2019-09-12T00:54:28.692536403Z name: maps_cyclegan [default: experiment_name]
38 2019-09-12T00:54:28.692547718Z ndf: 64
39 2019-09-12T00:54:28.692552981Z netD: basic
40 2019-09-12T00:54:28.692557297Z netG: resnet_9blocks
41 2019-09-12T00:54:28.692561881Z ngf: 64
42 2019-09-12T00:54:28.692566484Z niter: 100
43 2019-09-12T00:54:28.692570976Z niter_decay: 100
44 2019-09-12T00:54:28.692575702Z no_dropout: True
45 2019-09-12T00:54:28.692580238Z no_flip: False
46 2019-09-12T00:54:28.692584889Z no_html: False
47 2019-09-12T00:54:28.692589411Z norm: instance
48 2019-09-12T00:54:28.692593738Z num_threads: 4
49 2019-09-12T00:54:28.692598198Z output_nc: 3
50 2019-09-12T00:54:28.692602978Z phase: train
51 2019-09-12T00:54:28.692656486Z pool_size: 50
52 2019-09-12T00:54:28.692663331Z preprocess: resize_and_crop
53 2019-09-12T00:54:28.692667816Z print_freq: 100
54 2019-09-12T00:54:28.692672514Z save_by_iter: False
55 2019-09-12T00:54:28.692676864Z save_epoch_freq: 5
56 2019-09-12T00:54:28.692681618Z save_latest_freq: 5000
57 2019-09-12T00:54:28.692686052Z serial_batches: False
58 2019-09-12T00:54:28.692690754Z suffix:
59 2019-09-12T00:54:28.692695374Z update_html_freq: 1000
60 2019-09-12T00:54:28.692699819Z verbose: False
61 2019-09-12T00:54:28.692704509Z ----------------- End -------------------
62 2019-09-12T00:54:28.718880422Z Traceback (most recent call last):
63 2019-09-12T00:54:28.718935886Z File "train.py", line 29, in <module>
64 2019-09-12T00:54:28.718960549Z dataset = create_dataset(opt) # create a dataset given opt.dataset_mode and other options
65 2019-09-12T00:54:28.718967164Z File "/home/jovyan/work/data/__init__.py", line 57, in create_dataset
66 2019-09-12T00:54:28.718972027Z data_loader = CustomDatasetDataLoader(opt)
67 2019-09-12T00:54:28.718976522Z File "/home/jovyan/work/data/__init__.py", line 73, in __init__
68 2019-09-12T00:54:28.718981177Z self.dataset = dataset_class(opt)
69 2019-09-12T00:54:28.718985609Z File "/home/jovyan/work/data/unaligned_dataset.py", line 29, in __init__
70 2019-09-12T00:54:28.718990197Z self.A_paths = sorted(make_dataset(self.dir_A, opt.max_dataset_size)) # load images from '/path/to/data/trainA'
71 2019-09-12T00:54:28.718995184Z File "/home/jovyan/work/data/image_folder.py", line 25, in make_dataset
72 2019-09-12T00:54:28.718999713Z assert os.path.isdir(dir), '%s is not a valid directory' % dir
73 2019-09-12T00:54:28.719004383Z AssertionError: ./datasets/maps/trainA is not a valid directory
74 2019-09-12T00:54:29.278736874Z SYSTEM: Finishing...
75 2019-09-12T00:54:31.419723258Z SYSTEM: Error Exists!
+76
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job_logs/job-gpu-5d799a14fbf236af01f6d055.log less more
0 2019-09-12T01:11:50.693071255Z SYSTEM: Preparing env...
1 2019-09-12T01:12:05.98712888Z SYSTEM: Running...
2 2019-09-12T01:12:08.405716515Z ----------------- Options ---------------
3 2019-09-12T01:12:08.405766128Z batch_size: 1
4 2019-09-12T01:12:08.405773721Z beta1: 0.5
5 2019-09-12T01:12:08.405779154Z checkpoints_dir: ./checkpoints
6 2019-09-12T01:12:08.405784106Z continue_train: False
7 2019-09-12T01:12:08.405801126Z crop_size: 256
8 2019-09-12T01:12:08.405807384Z dataroot: /home/jovyan/work/datasets/maps [default: None]
9 2019-09-12T01:12:08.405812908Z dataset_mode: unaligned
10 2019-09-12T01:12:08.405817446Z direction: AtoB
11 2019-09-12T01:12:08.405823478Z display_env: main
12 2019-09-12T01:12:08.405828216Z display_freq: 400
13 2019-09-12T01:12:08.405832881Z display_id: 1
14 2019-09-12T01:12:08.405837492Z display_ncols: 4
15 2019-09-12T01:12:08.405843096Z display_port: 8097
16 2019-09-12T01:12:08.405848309Z display_server: http://localhost
17 2019-09-12T01:12:08.405853218Z display_winsize: 256
18 2019-09-12T01:12:08.405858006Z epoch: latest
19 2019-09-12T01:12:08.405864748Z epoch_count: 1
20 2019-09-12T01:12:08.405869608Z gan_mode: lsgan
21 2019-09-12T01:12:08.405874423Z gpu_ids: 0
22 2019-09-12T01:12:08.405878782Z init_gain: 0.02
23 2019-09-12T01:12:08.405883269Z init_type: normal
24 2019-09-12T01:12:08.405887619Z input_nc: 3
25 2019-09-12T01:12:08.405892701Z isTrain: True [default: None]
26 2019-09-12T01:12:08.405898308Z lambda_A: 10.0
27 2019-09-12T01:12:08.405903098Z lambda_B: 10.0
28 2019-09-12T01:12:08.405907559Z lambda_identity: 0.5
29 2019-09-12T01:12:08.405912198Z load_iter: 0 [default: 0]
30 2019-09-12T01:12:08.405915447Z load_size: 286
31 2019-09-12T01:12:08.405918537Z lr: 0.0002
32 2019-09-12T01:12:08.405934074Z lr_decay_iters: 50
33 2019-09-12T01:12:08.405937708Z lr_policy: linear
34 2019-09-12T01:12:08.405940478Z max_dataset_size: inf
35 2019-09-12T01:12:08.405943151Z model: cycle_gan
36 2019-09-12T01:12:08.405947568Z n_layers_D: 3
37 2019-09-12T01:12:08.405950439Z name: maps_cyclegan [default: experiment_name]
38 2019-09-12T01:12:08.405956744Z ndf: 64
39 2019-09-12T01:12:08.405961294Z netD: basic
40 2019-09-12T01:12:08.405965941Z netG: resnet_9blocks
41 2019-09-12T01:12:08.405970624Z ngf: 64
42 2019-09-12T01:12:08.405975328Z niter: 100
43 2019-09-12T01:12:08.405980208Z niter_decay: 100
44 2019-09-12T01:12:08.405984934Z no_dropout: True
45 2019-09-12T01:12:08.405988854Z no_flip: False
46 2019-09-12T01:12:08.405991571Z no_html: False
47 2019-09-12T01:12:08.405994644Z norm: instance
48 2019-09-12T01:12:08.405997364Z num_threads: 4
49 2019-09-12T01:12:08.406000046Z output_nc: 3
50 2019-09-12T01:12:08.406002718Z phase: train
51 2019-09-12T01:12:08.406005807Z pool_size: 50
52 2019-09-12T01:12:08.406010241Z preprocess: resize_and_crop
53 2019-09-12T01:12:08.406013138Z print_freq: 100
54 2019-09-12T01:12:08.406015844Z save_by_iter: False
55 2019-09-12T01:12:08.406018674Z save_epoch_freq: 5
56 2019-09-12T01:12:08.406021409Z save_latest_freq: 5000
57 2019-09-12T01:12:08.406024242Z serial_batches: False
58 2019-09-12T01:12:08.406027174Z suffix:
59 2019-09-12T01:12:08.406029867Z update_html_freq: 1000
60 2019-09-12T01:12:08.406032874Z verbose: False
61 2019-09-12T01:12:08.406035635Z ----------------- End -------------------
62 2019-09-12T01:12:08.438027548Z Traceback (most recent call last):
63 2019-09-12T01:12:08.438080971Z File "train.py", line 29, in <module>
64 2019-09-12T01:12:08.438109321Z dataset = create_dataset(opt) # create a dataset given opt.dataset_mode and other options
65 2019-09-12T01:12:08.438115571Z File "/home/jovyan/work/data/__init__.py", line 57, in create_dataset
66 2019-09-12T01:12:08.438120925Z data_loader = CustomDatasetDataLoader(opt)
67 2019-09-12T01:12:08.438125775Z File "/home/jovyan/work/data/__init__.py", line 73, in __init__
68 2019-09-12T01:12:08.438130351Z self.dataset = dataset_class(opt)
69 2019-09-12T01:12:08.438135103Z File "/home/jovyan/work/data/unaligned_dataset.py", line 29, in __init__
70 2019-09-12T01:12:08.438139751Z self.A_paths = sorted(make_dataset(self.dir_A, opt.max_dataset_size)) # load images from '/path/to/data/trainA'
71 2019-09-12T01:12:08.438144775Z File "/home/jovyan/work/data/image_folder.py", line 25, in make_dataset
72 2019-09-12T01:12:08.43815041Z assert os.path.isdir(dir), '%s is not a valid directory' % dir
73 2019-09-12T01:12:08.438155176Z AssertionError: /home/jovyan/work/datasets/maps/trainA is not a valid directory
74 2019-09-12T01:12:08.927649789Z SYSTEM: Finishing...
75 2019-09-12T01:12:11.160691584Z SYSTEM: Error Exists!
+40
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options/.ipynb_checkpoints/train_options-checkpoint.py less more
0 from .base_options import BaseOptions
1
2
3 class TrainOptions(BaseOptions):
4 """This class includes training options.
5
6 It also includes shared options defined in BaseOptions.
7 """
8
9 def initialize(self, parser):
10 parser = BaseOptions.initialize(self, parser)
11 # visdom and HTML visualization parameters
12 parser.add_argument('--display_freq', type=int, default=400, help='frequency of showing training results on screen')
13 parser.add_argument('--display_ncols', type=int, default=4, help='if positive, display all images in a single visdom web panel with certain number of images per row.')
14 parser.add_argument('--display_id', type=int, default=1, help='window id of the web display')
15 parser.add_argument('--display_server', type=str, default="http://localhost", help='visdom server of the web display')
16 parser.add_argument('--display_env', type=str, default='main', help='visdom display environment name (default is "main")')
17 parser.add_argument('--display_port', type=int, default=8097, help='visdom port of the web display')
18 parser.add_argument('--update_html_freq', type=int, default=1000, help='frequency of saving training results to html')
19 parser.add_argument('--print_freq', type=int, default=100, help='frequency of showing training results on console')
20 parser.add_argument('--no_html', action='store_true', help='do not save intermediate training results to [opt.checkpoints_dir]/[opt.name]/web/')
21 # network saving and loading parameters
22 parser.add_argument('--save_latest_freq', type=int, default=5000, help='frequency of saving the latest results')
23 parser.add_argument('--save_epoch_freq', type=int, default=5, help='frequency of saving checkpoints at the end of epochs')
24 parser.add_argument('--save_by_iter', action='store_true', help='whether saves model by iteration')
25 parser.add_argument('--continue_train', action='store_true', help='continue training: load the latest model')
26 parser.add_argument('--epoch_count', type=int, default=1, help='the starting epoch count, we save the model by <epoch_count>, <epoch_count>+<save_latest_freq>, ...')
27 parser.add_argument('--phase', type=str, default='train', help='train, val, test, etc')
28 # training parameters
29 parser.add_argument('--niter', type=int, default=100, help='# of iter at starting learning rate')
30 parser.add_argument('--niter_decay', type=int, default=100, help='# of iter to linearly decay learning rate to zero')
31 parser.add_argument('--beta1', type=float, default=0.5, help='momentum term of adam')
32 parser.add_argument('--lr', type=float, default=0.0002, help='initial learning rate for adam')
33 parser.add_argument('--gan_mode', type=str, default='lsgan', help='the type of GAN objective. [vanilla| lsgan | wgangp]. vanilla GAN loss is the cross-entropy objective used in the original GAN paper.')
34 parser.add_argument('--pool_size', type=int, default=50, help='the size of image buffer that stores previously generated images')
35 parser.add_argument('--lr_policy', type=str, default='linear', help='learning rate policy. [linear | step | plateau | cosine]')
36 parser.add_argument('--lr_decay_iters', type=int, default=50, help='multiply by a gamma every lr_decay_iters iterations')
37
38 self.isTrain = True
39 return parser
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results/.ipynb_checkpoints/README-checkpoint.md less more
0 Please store your training checkpoints or results here
1 请在此处存储 checkpoints 和结果文件⏎