Add much more flexible argument handling

map2map/common_args.yaml

@@ -1,88 +1,88 @@
 arguments:
   - 'in-norms':
-    type: str_list
+      type: str_list
-    help: 'comma-sep. list of input normalization functions'
+      help: 'comma-sep. list of input normalization functions'
   - 'tgt-norms':
-    type: str_list
+      type: str_list
-    help: 'comma-sep. list of target normalization functions'
+      help: 'comma-sep. list of target normalization functions'
   - 'crop':
-    type: int_tuple
+      type: int_tuple
-    help: 'size to crop the input and target data. Default is the field size. Comma-sep. list of 1 or d integers'
+      help: 'size to crop the input and target data. Default is the field size. Comma-sep. list of 1 or d integers'
   - 'crop-start':
-    type: int_tuple
+      type: int_tuple
-    help: 'starting point of the first crop. Default is the origin. Comma-sep. list of 1 or d integers'
+      help: 'starting point of the first crop. Default is the origin. Comma-sep. list of 1 or d integers'
   - 'crop-stop':
-    type: int_tuple
+      type: int_tuple
-    help: 'stopping point of the last crop. Default is the opposite corner to the origin. Comma-sep. list of 1 or d integers'
+      help: 'stopping point of the last crop. Default is the opposite corner to the origin. Comma-sep. list of 1 or d integers'
   - 'crop-step':
-    type: int_tuple
+      type: int_tuple
-    help: 'spacing between crops. Default is the crop size. Comma-sep. list of 1 or d integers'
+      help: 'spacing between crops. Default is the crop size. Comma-sep. list of 1 or d integers'
   - 'in-pad':
-    'pad': 0
+      pad: 0
-    type: int_tuple
+      type: int_tuple
-    help: 'size to pad the input data beyond the crop size, assuming periodic boundary condition. Comma-sep. list of 1, d, or dx2 integers, to pad equally along all axes, symmetrically on each, or by the specified size on every boundary, respectively'
+      help: 'size to pad the input data beyond the crop size, assuming periodic boundary condition. Comma-sep. list of 1, d, or dx2 integers, to pad equally along all axes, symmetrically on each, or by the specified size on every boundary, respectively'
   - 'tgt-pad':
-    default: 0
+      default: 0
-    type: int_tuple
+      type: int_tuple
-    help: 'size to pad the target data beyond the crop size, assuming periodic boundary condition, useful for super-resolution. Comma-sep. list with the same format as in-pad'
+      help: 'size to pad the target data beyond the crop size, assuming periodic boundary condition, useful for super-resolution. Comma-sep. list with the same format as in-pad'
   - 'scale-factor':
-    default: 1
+      default: 1
-    type: int
+      type: int
-    help: 'upsampling factor for super-resolution, in which case crop and pad are sizes of the input resolution'
+      help: 'upsampling factor for super-resolution, in which case crop and pad are sizes of the input resolution'
   - 'model':
-    type: str
+      type: str
-    required: true
+      required: true
-    help: '(generator) model'
+      help: '(generator) model'
   - 'criterion':
-    default: 'MSELoss'
+      default: 'MSELoss'
-    type: str
+      type: str
-    help: 'loss function'
+      help: 'loss function'
   - 'load-state':
-    default: ckpt_link
+      default: ckpt_link
-    type: str
+      type: str
-    help: 'path to load the states of model, optimizer, rng, etc. Default is the checkpoint. Start from scratch in case of empty string or missing checkpoint'
+      help: 'path to load the states of model, optimizer, rng, etc. Default is the checkpoint. Start from scratch in case of empty string or missing checkpoint'
   - 'load-state-non-strict':
-    action: 'store_false'
+      action: 'store_false'
-    help: 'allow incompatible keys when loading model states'
+      help: 'allow incompatible keys when loading model states'
-    dest: 'load_state_strict'
+      dest: 'load_state_strict'
   - 'batch-size':
-    'batches': 0
+      'batches': 0
-    type: int
+      type: int
-    required: true
+      required: true
-    help: 'mini-batch size, per GPU in training or in total in testing'
+      help: 'mini-batch size, per GPU in training or in total in testing'
   - 'loader-workers':
-    default: 8
+      default: 8
-    type: int
+      type: int
-    help: 'number of subprocesses per data loader. 0 to disable multiprocessing'
+      help: 'number of subprocesses per data loader. 0 to disable multiprocessing'
   - 'callback-at':
-    type: 'lambda s: os.path.abspath(s)'
+      type: 'lambda s: os.path.abspath(s)'
-    help: 'directory of custorm code defining callbacks for models, norms, criteria, and optimizers. Disabled if not set. This is appended to the default locations, thus has the lowest priority'
+      help: 'directory of custorm code defining callbacks for models, norms, criteria, and optimizers. Disabled if not set. This is appended to the default locations, thus has the lowest priority'
   - 'misc-kwargs':
-    default: '{}'
+      default: '{}'
-    type: json.loads
+      type: json.loads
-    help: 'miscellaneous keyword arguments for custom models and norms. Be careful with name collisions'
+      help: 'miscellaneous keyword arguments for custom models and norms. Be careful with name collisions'
-    arguments:
+      arguments:
-      - 'optimizer':
+        - 'optimizer':
-        default: 'Adam'
+          default: 'Adam'
-        type: str
+          type: str
-        help: 'optimizer for training'
+          help: 'optimizer for training'
-      - 'learning-rate':
+        - 'learning-rate':
-        default: 0.001
+          default: 0.001
-        type: float
+          type: float
-        help: 'learning rate for training'
+          help: 'learning rate for training'
-      - 'num-epochs':
+        - 'num-epochs':
-        default: 100
+          default: 100
-        type: int
+          type: int
-        help: 'number of training epochs'
+          help: 'number of training epochs'
-      - 'save-interval':
+        - 'save-interval':
-        default: 10
+          default: 10
-        type: int
+          type: int
-        help: 'interval for saving checkpoints during training'
+          help: 'interval for saving checkpoints during training'
-      - 'log-interval':
+        - 'log-interval':
-        default: 10
+          default: 10
-        type: int
+          type: int
-        help: 'interval for logging training progress'
+          help: 'interval for logging training progress'
-      - 'device':
+        - 'device':
-        default: 'cuda'
+          default: 'cuda'
-        type: str
+          type: str
-        help: 'device for training (cuda or cpu)'
+          help: 'device for training (cuda or cpu)'

map2map/main.py

@@ -1,17 +1,53 @@
 from .args import get_args
 from . import train
 from . import test
+import click
+import os
+import yaml
+try:
+    from yaml import CLoader as Loader
+except ImportError:
+    from yaml import Loader
 
+import importlib.resources
 
-def main():
+def _load_resource_file(resource_path):
+    package = importlib.import_module('map2map')  # Import the package
+    with importlib.resources.path('map2map', resource_path) as path:
+        return path.read_text()  # Read the file and return its content
 
+def str_list(s):
+    return s.split(',')
+
+def m2m_options(f):
+    common_args = _load_resource_file('common_args.yaml')
+
+    for arg in common_args['arguments']:
+        argopt = common_args[arg]
+        if 'type' in argopt:
+            argopt['type'] = eval(argopt['type'])
+            f = click.option(f'--{arg}', **argopt)(f)
+        else:
+            f = click.option(f'--{arg}', **argopt)(f)
+
+    return f
+
+@click.group()
+@click.option("--config", type=click.Path())
+@click.pass_context
+def main(ctx, config):
+    if os.path.exists(config):
+        with open(config, 'r') as f:
+            config = yaml.load(f.read(), Loader=Loader)
+        ctx.default_map = config
+
+@main.command()
+@m2m_options
+def train(**kwargs):
     args = get_args()
+    train.node_worker(args)
 
-    if args.mode == 'train':
+@main.command()
-        train.node_worker(args)
+@m2m_options
-    elif args.mode == 'test':
+def test():
-        test.test(args)
+    test.test(args)    
-
-
-if __name__ == '__main__':
-    main()

pyproject.toml

@@ -17,7 +17,8 @@ dependencies = [
         'numpy',
         'scipy',
         'matplotlib',
-        'tensorboard']
+        'tensorboard',
+        'click']
 
 authors = [
   {name = "Yin Li", email = "eelregit@gmail.com"},
@@ -29,7 +30,7 @@ maintainers = [
 ]
 
 [project.scripts]
-m2m = "map2map:main"
+m2m = "map2map:main.main"
 
 [project.urls]
 #Homepage = "https://example.com"