[fix] fix mem assertation

tests/kit/model_zoo/transformers/__init__.py

@@ -2,8 +2,7 @@ from .albert import *
 from .bert import *
 from .blip2 import *
 from .bloom import *
-
-# from .chatglm2 import *
+from .chatglm2 import *
 from .command import *
 from .deepseek import *
 from .falcon import *

tests/test_pipeline/test_schedule/test_zerobubble_pp.py

@@ -611,20 +611,24 @@ def run_fwd_bwd_vschedule_with_optim(test_config):
 
     optimizer_pp.step()
 
-    torch.cuda.memory_allocated() / 1024**3
+    after_pp_step_memory = torch.cuda.memory_allocated() / 1024**3
 
     # assert memory
     if rank != 0:
         # w.grad hid_dim * hid_dim * 4(fp32) * 2 (2 layer in each stage) / 1024**3
         # output hid_dim * hid_dim * 4(fp32) / 1024**3
-        # assert (after_pp_step_memory - after_init_memory) == (in_dim * in_dim * 4 * 3 / 1024**3)
-        pass
+        print(f"rank {rank}: {(after_pp_step_memory - after_init_memory)} == {(in_dim * in_dim * 4 * 3 / 1024**3)}")
+        assert (after_pp_step_memory - after_init_memory) == (in_dim * in_dim * 4 * 3 / 1024**3)
+        # pass
     else:
         # rank0 will also hold output;
-        # assert round((after_pp_step_memory - after_init_memory), 5) == round(
-        #     (in_dim * in_dim * 4 * 3 / 1024**3 + batch_size * in_dim * in_dim * 4 / 1024**3), 5
-        # )
-        pass
+        print(
+            f"rank {rank}: {(after_pp_step_memory - after_init_memory)} == {(in_dim * in_dim * 4 * 3 / 1024**3 + batch_size * in_dim * in_dim * 4 / 1024**3)}"
+        )
+        assert round((after_pp_step_memory - after_init_memory), 5) == round(
+            (in_dim * in_dim * 4 * 3 / 1024**3 + batch_size * in_dim * in_dim * 4 / 1024**3), 5
+        )
+        # pass
     ##########################
     # Fwd bwd for base
     ##########################