Add arguments as a yaml

map2map/common_args.yaml

@@ -0,0 +1,88 @@
+arguments:
+  - 'in-norms':
+    type: str_list
+    help: 'comma-sep. list of input normalization functions'
+  - 'tgt-norms':
+    type: str_list
+    help: 'comma-sep. list of target normalization functions'
+  - 'crop':
+    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'
+  - 'crop-start':
+    type: int_tuple
+    help: 'starting point of the first crop. Default is the origin. Comma-sep. list of 1 or d integers'
+  - 'crop-stop':
+    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'
+  - 'crop-step':
+    type: int_tuple
+    help: 'spacing between crops. Default is the crop size. Comma-sep. list of 1 or d integers'
+  - 'in-pad':
+    'pad': 0
+    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'
+  - 'tgt-pad':
+    default: 0
+    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'
+  - 'scale-factor':
+    default: 1
+    type: int
+    help: 'upsampling factor for super-resolution, in which case crop and pad are sizes of the input resolution'
+  - 'model':
+    type: str
+    required: true
+    help: '(generator) model'
+  - 'criterion':
+    default: 'MSELoss'
+    type: str
+    help: 'loss function'
+  - 'load-state':
+    default: ckpt_link
+    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'
+  - 'load-state-non-strict':
+    action: 'store_false'
+    help: 'allow incompatible keys when loading model states'
+    dest: 'load_state_strict'
+  - 'batch-size':
+    'batches': 0
+    type: int
+    required: true
+    help: 'mini-batch size, per GPU in training or in total in testing'
+  - 'loader-workers':
+    default: 8
+    type: int
+    help: 'number of subprocesses per data loader. 0 to disable multiprocessing'
+  - 'callback-at':
+    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'
+  - 'misc-kwargs':
+    default: '{}'
+    type: json.loads
+    help: 'miscellaneous keyword arguments for custom models and norms. Be careful with name collisions'
+    arguments:
+      - 'optimizer':
+        default: 'Adam'
+        type: str
+        help: 'optimizer for training'
+      - 'learning-rate':
+        default: 0.001
+        type: float
+        help: 'learning rate for training'
+      - 'num-epochs':
+        default: 100
+        type: int
+        help: 'number of training epochs'
+      - 'save-interval':
+        default: 10
+        type: int
+        help: 'interval for saving checkpoints during training'
+      - 'log-interval':
+        default: 10
+        type: int
+        help: 'interval for logging training progress'
+      - 'device':
+        default: 'cuda'
+        type: str
+        help: 'device for training (cuda or cpu)'