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-rw-r--r--experiment/__init__.py0
-rw-r--r--experiment/__main__.py17
-rw-r--r--experiment/experiment.py32
3 files changed, 49 insertions, 0 deletions
diff --git a/experiment/__init__.py b/experiment/__init__.py
new file mode 100644
index 0000000..e69de29
--- /dev/null
+++ b/experiment/__init__.py
diff --git a/experiment/__main__.py b/experiment/__main__.py
new file mode 100644
index 0000000..bf4de94
--- /dev/null
+++ b/experiment/__main__.py
@@ -0,0 +1,17 @@
+import sys
+
+import torch
+
+from experiment.experiment import Experiment
+
+file = None
+if len(sys.argv) < 2:
+ print('Provide YAML configuration file as argument')
+ exit(1)
+
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+file = sys.argv[1]
+prefix = sys.argv[2] if len(sys.argv) > 2 else ''
+
+experiment = Experiment(file, prefix, device)
+experiment.run()
diff --git a/experiment/experiment.py b/experiment/experiment.py
new file mode 100644
index 0000000..600732f
--- /dev/null
+++ b/experiment/experiment.py
@@ -0,0 +1,32 @@
+import subprocess
+import os
+import time
+
+from train.train import train_model
+from util.parse_config import parse_file
+from model.encoder import EncoderModel
+
+class Experiment:
+ def __init__(self, file, prefix, device):
+ self.file = file
+ self.device = device
+ self.make_dir(prefix)
+ self.copy_config(file)
+
+ def run(self):
+ model_config, train_config = parse_file(self.file)
+ model = EncoderModel(device=self.device, **model_config).to(self.device)
+ train_model(model, device=self.device, **train_config)
+
+ def dir_path(self, file):
+ return '{}/{}'.format(self.dirname, file)
+
+ def make_dir(self, prefix):
+ time_string = time.strftime('%Y%m%d%H%M%S')
+ prefix = '' if prefix == '' else '{}-'.format(prefix)
+ dirname = 'outputs/{}{}'.format(prefix, time_string)
+ self.dirname = dirname
+ os.mkdir(dirname)
+
+ def copy_config(self, file):
+ subprocess.run(['cp', file, '{}/config.yaml'.format(self.dirname)])