results_folder : str, optional
Folder where results are, by default './results'
"""
print("STAGE: ANALYZE")
print(f"Generating plots for {results_folder}")
(Path(results_folder) / 'example.png').touch()
print()
@argbind.bind(without_prefix=True, positional=True)
def run(stage: str):
"""Run stages.
Parameters
----------
stages : str
Stage to run
"""
with output():
if stage not in STAGES:
raise ValueError(
f"Requested stage {stage} not in known stages {STAGES}")
stage_fn = globals()[stage]
stage_fn()
if __name__ == "__main__":
args = argbind.parse_args()
with argbind.scope(args):
run()
def forward():
run = argbind.bind(open_link, positional=True, without_prefix=True)
args = argbind.parse_args()
with argbind.scope(args):
run()
class MyClass:
def __init__(self, x: str = "from default"):
self.x = x
print(self.x)
def my_func(x: int = 100):
print(x)
return x
if __name__ == "__main__":
import argbind
BoundClass = argbind.bind(MyClass, 'pattern')
bound_fn = argbind.bind(my_func)
argbind.parse_args() # add for help text, though it isn't used here.
args = {
'MyClass.x': 'from binding',
'pattern/MyClass.x': 'from binding in scoping pattern',
'my_func.x': 123,
'args.debug': True # for printing arguments passed to each function
}
# Original objects are not affected by ArgBind
print("Original object output")
with argbind.scope(args):
MyClass() # prints "from default"
my_func() # prints 100
print()
def main():
args = argbind.parse_args()
with argbind.scope(args):
arg = Args()
signal.signal(signal.SIGINT, clean_up)
app.run(debug=True, host=arg.host, port=arg.port)
ASGD, Adadelta, Adagrad, AdamW, Adamax, LBFGS, NAdam, RAdam, RMSprop,
Rprop, SGD, SparseAdam
]
class holder:
def __init__(self):
for o in optimizers:
setattr(self, o.__name__, o)
optim = holder()
args = {
"lr": 2e-4,
"args.debug": True,
}
if __name__ == "__main__":
argbind.parse_args()
net = torch.nn.Linear(1, 1)
for fn_name in dir(optim):
if fn_name == "Optimizer":
continue
fn = getattr(optim, fn_name)
if hasattr(fn, "step"):
args[f"{fn_name}.lr"] = args["lr"]
with argbind.scope(args):
fn(net.parameters())