PyYaml - overwrite yaml file and save it
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PyYaml - overwrite yaml file and save it
0
$begingroup$
what I am trying is to load a yaml file and update its values by argparse and save the resulted yaml in another path.
the output of yaml.save_load is:
import os
import argparse
import yaml
import functools
parser = argparse.ArgumentParser()
parser.add_argument(
"--config",
nargs="?",
type=str,
default="p.yml",
help="Configuration file to use",
)
parser.add_argument('--learning_rate', type=float, help='learning rate amount')
args = parser.parse_args()
def dumps(func):
@functools.wraps(func)
def wrapper(self, *args, **kwargs):
ret = func(self, *args, **kwargs)
with open(self.filename, "w") as f:
yaml.safe_dump(self, f)
return ret
return wrapper
class Config(dict):
def __init__(self, filename):
self.filename = filename
if os.path.isfile(filename):
print(filename)
with open(filename) as f:
# use super here to avoid unnecessary write
super(Config, self).update(yaml.safe_load(f) or )
__setitem__ = dumps(dict.__setitem__)
__delitem__ = dumps(dict.__delitem__)
update = dumps(dict.update)
cfg = Config(args.config)
print(cfg)
cfg.update('training': 'optimizer': 'lr': args.learning_rate)
print(cfg)
the original yaml file has the following configurations:
> data:
dataset: pascal
train_split: train
val_split: val
img_rows: 'same'
img_cols: 'same'
path: SkyScapes/
sbd_path: /private/home/meetshah/datasets/VOC/benchmark_RELEASE/
training:
train_iters: 300000
batch_size: 1
val_interval: 1000
n_workers: 16
print_interval: 50
optimizer:
name: 'sgd'
lr: 1.0e-10
weight_decay: 0.0005
momentum: 0.99
loss:
name: 'cross_entropy'
size_average: False
lr_schedule:
resume: fcn8s_pascal_best_model.pkl
and I am going to update lr parameter. However, I am facing with the following error:
> 'data': 'dataset': 'pascal', 'img_cols': 'same', 'img_rows': 'same', 'sbd_path': '/private/home/meetshah/datasets/VOC/benchmark_RELEASE/', 'train_split': 'train', 'val_split': 'val', 'path': 'SkyScapes/', 'training': 'resume': 'fcn8s_pascal_best_model.pkl', 'train_iters': 300000, 'lr_schedule': None, 'optimizer': 'name': 'sgd', 'weight_decay': 0.0005, 'lr': 1e-10, 'momentum': 0.99, 'print_interval': 50, 'n_workers': 16, 'batch_size': 1, 'loss': 'name': 'cross_entropy', 'size_average': False, 'val_interval': 1000
Traceback (most recent call last):
File "test.py", line 70, in <module>
cfg.update('training': 'optimizer': 'lr': args.learning_rate)
File "test.py", line 48, in wrapper
yaml.safe_dump(self, f)
File "/home/majid/.virtualenvs/pytorch-py3/lib/python3.5/site-packages/yaml/__init__.py", line 306, in safe_dump
return dump_all([data], stream, Dumper=SafeDumper, **kwds)
File "/home/majid/.virtualenvs/pytorch-py3/lib/python3.5/site-packages/yaml/__init__.py", line 278, in dump_all
dumper.represent(data)
File "/home/majid/.virtualenvs/pytorch-py3/lib/python3.5/site-packages/yaml/representer.py", line 27, in represent
node = self.represent_data(data)
File "/home/majid/.virtualenvs/pytorch-py3/lib/python3.5/site-packages/yaml/representer.py", line 58, in represent_data
node = self.yaml_representers[None](self, data)
File "/home/majid/.virtualenvs/pytorch-py3/lib/python3.5/site-packages/yaml/representer.py", line 231, in represent_undefined
raise RepresenterError("cannot represent an object", data)
yaml.representer.RepresenterError: ('cannot represent an object', 'data': 'dataset': 'pascal', 'img_cols': 'same', 'img_rows': 'same', 'sbd_path': '/private/home/meetshah/datasets/VOC/benchmark_RELEASE/', 'train_split': 'train', 'val_split': 'val', 'path': 'SkyScapes/', 'training': 'optimizer': 'lr': 2.0)
python yaml
asked 2 mins ago
Majid AzimiMajid Azimi
1011
New contributor
Majid Azimi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
0
$begingroup$
what I am trying is to load a yaml file and update its values by argparse and save the resulted yaml in another path.
the output of yaml.save_load is:
import os
import argparse
import yaml
import functools
parser = argparse.ArgumentParser()
parser.add_argument(
"--config",
nargs="?",
type=str,
default="p.yml",
help="Configuration file to use",
)
parser.add_argument('--learning_rate', type=float, help='learning rate amount')
args = parser.parse_args()
def dumps(func):
@functools.wraps(func)
def wrapper(self, *args, **kwargs):
ret = func(self, *args, **kwargs)
with open(self.filename, "w") as f:
yaml.safe_dump(self, f)
return ret
return wrapper
class Config(dict):
def __init__(self, filename):
self.filename = filename
if os.path.isfile(filename):
print(filename)
with open(filename) as f:
# use super here to avoid unnecessary write
super(Config, self).update(yaml.safe_load(f) or )
__setitem__ = dumps(dict.__setitem__)
__delitem__ = dumps(dict.__delitem__)
update = dumps(dict.update)
cfg = Config(args.config)
print(cfg)
cfg.update('training': 'optimizer': 'lr': args.learning_rate)
print(cfg)
the original yaml file has the following configurations:
> data:
dataset: pascal
train_split: train
val_split: val
img_rows: 'same'
img_cols: 'same'
path: SkyScapes/
sbd_path: /private/home/meetshah/datasets/VOC/benchmark_RELEASE/
training:
train_iters: 300000
batch_size: 1
val_interval: 1000
n_workers: 16
print_interval: 50
optimizer:
name: 'sgd'
lr: 1.0e-10
weight_decay: 0.0005
momentum: 0.99
loss:
name: 'cross_entropy'
size_average: False
lr_schedule:
resume: fcn8s_pascal_best_model.pkl
and I am going to update lr parameter. However, I am facing with the following error:
> 'data': 'dataset': 'pascal', 'img_cols': 'same', 'img_rows': 'same', 'sbd_path': '/private/home/meetshah/datasets/VOC/benchmark_RELEASE/', 'train_split': 'train', 'val_split': 'val', 'path': 'SkyScapes/', 'training': 'resume': 'fcn8s_pascal_best_model.pkl', 'train_iters': 300000, 'lr_schedule': None, 'optimizer': 'name': 'sgd', 'weight_decay': 0.0005, 'lr': 1e-10, 'momentum': 0.99, 'print_interval': 50, 'n_workers': 16, 'batch_size': 1, 'loss': 'name': 'cross_entropy', 'size_average': False, 'val_interval': 1000
Traceback (most recent call last):
File "test.py", line 70, in <module>
cfg.update('training': 'optimizer': 'lr': args.learning_rate)
File "test.py", line 48, in wrapper
yaml.safe_dump(self, f)
File "/home/majid/.virtualenvs/pytorch-py3/lib/python3.5/site-packages/yaml/__init__.py", line 306, in safe_dump
return dump_all([data], stream, Dumper=SafeDumper, **kwds)
File "/home/majid/.virtualenvs/pytorch-py3/lib/python3.5/site-packages/yaml/__init__.py", line 278, in dump_all
dumper.represent(data)
File "/home/majid/.virtualenvs/pytorch-py3/lib/python3.5/site-packages/yaml/representer.py", line 27, in represent
node = self.represent_data(data)
File "/home/majid/.virtualenvs/pytorch-py3/lib/python3.5/site-packages/yaml/representer.py", line 58, in represent_data
node = self.yaml_representers[None](self, data)
File "/home/majid/.virtualenvs/pytorch-py3/lib/python3.5/site-packages/yaml/representer.py", line 231, in represent_undefined
raise RepresenterError("cannot represent an object", data)
yaml.representer.RepresenterError: ('cannot represent an object', 'data': 'dataset': 'pascal', 'img_cols': 'same', 'img_rows': 'same', 'sbd_path': '/private/home/meetshah/datasets/VOC/benchmark_RELEASE/', 'train_split': 'train', 'val_split': 'val', 'path': 'SkyScapes/', 'training': 'optimizer': 'lr': 2.0)
python yaml
asked 2 mins ago
Majid AzimiMajid Azimi
1011
New contributor
Majid Azimi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
0
0
0
$begingroup$
what I am trying is to load a yaml file and update its values by argparse and save the resulted yaml in another path.
the output of yaml.save_load is:
import os
import argparse
import yaml
import functools
parser = argparse.ArgumentParser()
parser.add_argument(
"--config",
nargs="?",
type=str,
default="p.yml",
help="Configuration file to use",
)
parser.add_argument('--learning_rate', type=float, help='learning rate amount')
args = parser.parse_args()
def dumps(func):
@functools.wraps(func)
def wrapper(self, *args, **kwargs):
ret = func(self, *args, **kwargs)
with open(self.filename, "w") as f:
yaml.safe_dump(self, f)
return ret
return wrapper
class Config(dict):
def __init__(self, filename):
self.filename = filename
if os.path.isfile(filename):
print(filename)
with open(filename) as f:
# use super here to avoid unnecessary write
super(Config, self).update(yaml.safe_load(f) or )
__setitem__ = dumps(dict.__setitem__)
__delitem__ = dumps(dict.__delitem__)
update = dumps(dict.update)
cfg = Config(args.config)
print(cfg)
cfg.update('training': 'optimizer': 'lr': args.learning_rate)
print(cfg)
the original yaml file has the following configurations:
> data:
dataset: pascal
train_split: train
val_split: val
img_rows: 'same'
img_cols: 'same'
path: SkyScapes/
sbd_path: /private/home/meetshah/datasets/VOC/benchmark_RELEASE/
training:
train_iters: 300000
batch_size: 1
val_interval: 1000
n_workers: 16
print_interval: 50
optimizer:
name: 'sgd'
lr: 1.0e-10
weight_decay: 0.0005
momentum: 0.99
loss:
name: 'cross_entropy'
size_average: False
lr_schedule:
resume: fcn8s_pascal_best_model.pkl
and I am going to update lr parameter. However, I am facing with the following error:
> 'data': 'dataset': 'pascal', 'img_cols': 'same', 'img_rows': 'same', 'sbd_path': '/private/home/meetshah/datasets/VOC/benchmark_RELEASE/', 'train_split': 'train', 'val_split': 'val', 'path': 'SkyScapes/', 'training': 'resume': 'fcn8s_pascal_best_model.pkl', 'train_iters': 300000, 'lr_schedule': None, 'optimizer': 'name': 'sgd', 'weight_decay': 0.0005, 'lr': 1e-10, 'momentum': 0.99, 'print_interval': 50, 'n_workers': 16, 'batch_size': 1, 'loss': 'name': 'cross_entropy', 'size_average': False, 'val_interval': 1000
Traceback (most recent call last):
File "test.py", line 70, in <module>
cfg.update('training': 'optimizer': 'lr': args.learning_rate)
File "test.py", line 48, in wrapper
yaml.safe_dump(self, f)
File "/home/majid/.virtualenvs/pytorch-py3/lib/python3.5/site-packages/yaml/__init__.py", line 306, in safe_dump
return dump_all([data], stream, Dumper=SafeDumper, **kwds)
File "/home/majid/.virtualenvs/pytorch-py3/lib/python3.5/site-packages/yaml/__init__.py", line 278, in dump_all
dumper.represent(data)
File "/home/majid/.virtualenvs/pytorch-py3/lib/python3.5/site-packages/yaml/representer.py", line 27, in represent
node = self.represent_data(data)
File "/home/majid/.virtualenvs/pytorch-py3/lib/python3.5/site-packages/yaml/representer.py", line 58, in represent_data
node = self.yaml_representers[None](self, data)
File "/home/majid/.virtualenvs/pytorch-py3/lib/python3.5/site-packages/yaml/representer.py", line 231, in represent_undefined
raise RepresenterError("cannot represent an object", data)
yaml.representer.RepresenterError: ('cannot represent an object', 'data': 'dataset': 'pascal', 'img_cols': 'same', 'img_rows': 'same', 'sbd_path': '/private/home/meetshah/datasets/VOC/benchmark_RELEASE/', 'train_split': 'train', 'val_split': 'val', 'path': 'SkyScapes/', 'training': 'optimizer': 'lr': 2.0)
python yaml
asked 2 mins ago
Majid AzimiMajid Azimi
1011
New contributor
Majid Azimi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
what I am trying is to load a yaml file and update its values by argparse and save the resulted yaml in another path.
the output of yaml.save_load is:
import os
import argparse
import yaml
import functools
parser = argparse.ArgumentParser()
parser.add_argument(
"--config",
nargs="?",
type=str,
default="p.yml",
help="Configuration file to use",
)
parser.add_argument('--learning_rate', type=float, help='learning rate amount')
args = parser.parse_args()
def dumps(func):
@functools.wraps(func)
def wrapper(self, *args, **kwargs):
ret = func(self, *args, **kwargs)
with open(self.filename, "w") as f:
yaml.safe_dump(self, f)
return ret
return wrapper
class Config(dict):
def __init__(self, filename):
self.filename = filename
if os.path.isfile(filename):
print(filename)
with open(filename) as f:
# use super here to avoid unnecessary write
super(Config, self).update(yaml.safe_load(f) or )
__setitem__ = dumps(dict.__setitem__)
__delitem__ = dumps(dict.__delitem__)
update = dumps(dict.update)
cfg = Config(args.config)
print(cfg)
cfg.update('training': 'optimizer': 'lr': args.learning_rate)
print(cfg)
the original yaml file has the following configurations:
> data:
dataset: pascal
train_split: train
val_split: val
img_rows: 'same'
img_cols: 'same'
path: SkyScapes/
sbd_path: /private/home/meetshah/datasets/VOC/benchmark_RELEASE/
training:
train_iters: 300000
batch_size: 1
val_interval: 1000
n_workers: 16
print_interval: 50
optimizer:
name: 'sgd'
lr: 1.0e-10
weight_decay: 0.0005
momentum: 0.99
loss:
name: 'cross_entropy'
size_average: False
lr_schedule:
resume: fcn8s_pascal_best_model.pkl
and I am going to update lr parameter. However, I am facing with the following error:
> 'data': 'dataset': 'pascal', 'img_cols': 'same', 'img_rows': 'same', 'sbd_path': '/private/home/meetshah/datasets/VOC/benchmark_RELEASE/', 'train_split': 'train', 'val_split': 'val', 'path': 'SkyScapes/', 'training': 'resume': 'fcn8s_pascal_best_model.pkl', 'train_iters': 300000, 'lr_schedule': None, 'optimizer': 'name': 'sgd', 'weight_decay': 0.0005, 'lr': 1e-10, 'momentum': 0.99, 'print_interval': 50, 'n_workers': 16, 'batch_size': 1, 'loss': 'name': 'cross_entropy', 'size_average': False, 'val_interval': 1000
Traceback (most recent call last):
File "test.py", line 70, in <module>
cfg.update('training': 'optimizer': 'lr': args.learning_rate)
File "test.py", line 48, in wrapper
yaml.safe_dump(self, f)
File "/home/majid/.virtualenvs/pytorch-py3/lib/python3.5/site-packages/yaml/__init__.py", line 306, in safe_dump
return dump_all([data], stream, Dumper=SafeDumper, **kwds)
File "/home/majid/.virtualenvs/pytorch-py3/lib/python3.5/site-packages/yaml/__init__.py", line 278, in dump_all
dumper.represent(data)
File "/home/majid/.virtualenvs/pytorch-py3/lib/python3.5/site-packages/yaml/representer.py", line 27, in represent
node = self.represent_data(data)
File "/home/majid/.virtualenvs/pytorch-py3/lib/python3.5/site-packages/yaml/representer.py", line 58, in represent_data
node = self.yaml_representers[None](self, data)
File "/home/majid/.virtualenvs/pytorch-py3/lib/python3.5/site-packages/yaml/representer.py", line 231, in represent_undefined
raise RepresenterError("cannot represent an object", data)
yaml.representer.RepresenterError: ('cannot represent an object', 'data': 'dataset': 'pascal', 'img_cols': 'same', 'img_rows': 'same', 'sbd_path': '/private/home/meetshah/datasets/VOC/benchmark_RELEASE/', 'train_split': 'train', 'val_split': 'val', 'path': 'SkyScapes/', 'training': 'optimizer': 'lr': 2.0)
python yaml
python yaml
asked 2 mins ago
Majid AzimiMajid Azimi
1011
New contributor
Majid Azimi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 mins ago
Majid AzimiMajid Azimi
1011
New contributor
Majid Azimi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 mins ago
Majid AzimiMajid Azimi
1011
New contributor
Majid Azimi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 mins ago
Majid AzimiMajid Azimi
1011
asked 2 mins ago
Majid AzimiMajid Azimi
1011
1011
New contributor
Majid Azimi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Majid Azimi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Majid Azimi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
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StackExchange.using('gps', function() StackExchange.gps.track('embedded_signup_form.view', location: 'question_page' ); );
$window.unbind('scroll', onScroll);
;
$window.on('scroll', onScroll);
);
Sign up using Google
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Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
var $window = $(window),
onScroll = function(e)
var $elem = $('.new-login-left'),
docViewTop = $window.scrollTop(),
docViewBottom = docViewTop + $window.height(),
elemTop = $elem.offset().top,
elemBottom = elemTop + $elem.height();
if ((docViewTop elemBottom))
StackExchange.using('gps', function() StackExchange.gps.track('embedded_signup_form.view', location: 'question_page' ); );
$window.unbind('scroll', onScroll);
;
$window.on('scroll', onScroll);
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
