Upload apex-master/tests/L1/common/compare.py with huggingface_hub

apex-master/tests/L1/common/compare.py

@@ -0,0 +1,64 @@
+import argparse
+import torch
+
+parser = argparse.ArgumentParser(description='Compare')
+parser.add_argument('--opt-level', type=str)
+parser.add_argument('--keep-batchnorm-fp32', type=str, default=None)
+parser.add_argument('--loss-scale', type=str, default=None)
+parser.add_argument('--fused-adam', action='store_true')
+parser.add_argument('--use_baseline', action='store_true')
+args = parser.parse_args()
+
+base_file = str(args.opt_level) + "_" +\
+            str(args.loss_scale) + "_" +\
+            str(args.keep_batchnorm_fp32) + "_" +\
+            str(args.fused_adam)
+
+file_e = "True_" + base_file
+file_p = "False_" + base_file
+if args.use_baseline:
+    file_b = "baselines/True_" + base_file
+
+dict_e = torch.load(file_e)
+dict_p = torch.load(file_p)
+if args.use_baseline:
+    dict_b = torch.load(file_b)
+
+torch.set_printoptions(precision=10)
+
+print(file_e)
+print(file_p)
+if args.use_baseline:
+    print(file_b)
+
+# ugly duplication here...
+if not args.use_baseline:
+    for n, (i_e, i_p) in enumerate(zip(dict_e["Iteration"], dict_p["Iteration"])):
+        assert i_e == i_p, "i_e = {}, i_p = {}".format(i_e, i_p)
+
+        loss_e = dict_e["Loss"][n]
+        loss_p = dict_p["Loss"][n]
+        assert loss_e == loss_p, "Iteration {}, loss_e = {}, loss_p = {}".format(i_e, loss_e, loss_p)
+        print("{:4} {:15.10f} {:15.10f} {:15.10f} {:15.10f}".format(
+              i_e,
+              loss_e,
+              loss_p,
+              dict_e["Speed"][n],
+              dict_p["Speed"][n]))
+else:
+    for n, (i_e, i_p) in enumerate(zip(dict_e["Iteration"], dict_p["Iteration"])):
+        assert i_e == i_p, "i_e = {}, i_p = {}".format(i_e, i_p)
+
+        loss_e = dict_e["Loss"][n]
+        loss_p = dict_p["Loss"][n]
+        loss_b = dict_b["Loss"][n]
+        assert loss_e == loss_p, "Iteration {}, loss_e = {}, loss_p = {}".format(i_e, loss_e, loss_p)
+        assert loss_e == loss_b, "Iteration {}, loss_e = {}, loss_b = {}".format(i_e, loss_e, loss_b)
+        print("{:4} {:15.10f} {:15.10f} {:15.10f} {:15.10f} {:15.10f} {:15.10f}".format(
+              i_e,
+              loss_b,
+              loss_e,
+              loss_p,
+              dict_b["Speed"][n],
+              dict_e["Speed"][n],
+              dict_p["Speed"][n]))