Update.

[mygptrnn.git] / main.py

diff --git a/main.py b/main.py
index c22ae57..04e5652 100755 (executable)
--- a/main.py
+++ b/main.py
@@ -465,15 +465,15 @@ with os.popen("sha256sum *.py") as f:
         log_string(f"sha256sum {l.strip()}")
 
 now = time.strftime("%Y%m%d-%H%M%S", time.localtime())
-os.system(f"tar --ignore-failed-read zcvf {args.result_dir}/src-{now}.tgz *.py *.sh")
+os.system(f"tar zcvf {args.result_dir}/src-{now}.tgz *.py *.sh")
 
 log_string(f"argv {' '.join(sys.argv)}")
 
 for n in vars(args):
     log_string(f"args.{n} {getattr(args, n)}")
 
-for n in vars(sup_args):
-    log_string(f"sup_args.{n} {getattr(sup_args, n)}")
+for k, v in sup_args.items():
+    log_string(f'sup_args["{k}"] "{v}"')
 
 
 ######################################################################
@@ -835,6 +835,24 @@ if args.max_percents_of_test_in_train >= 0:
 
 ##############################
 
+for input in task.batches(split="train", desc="calibrate"):
+    input = input.to(device)
+    output = model(mygpt.BracketedSequence(input)).x
+
+for n, m in model.named_modules():
+    for a in dir(m):
+        x = getattr(m, a)
+        if isinstance(x, mygpt.Calibrator):
+            print(f"####### ${n} | ${a} ########################")
+            mean, std = x.moments()
+            print("mean\n", mean, "\n")
+            print("std\n", std, "\n")
+            print(f"############################################\n\n")
+
+exit(0)
+
+##############################
+
 nb_samples_seen = 0
 
 if nb_epochs_finished >= nb_epochs: