checkpoint off by default

setup.py

@@ -4,7 +4,7 @@
   name = 'x-clip',
   packages = find_packages(exclude=[]),
   include_package_data = True,
-  version = '0.8.0',
+  version = '0.8.2',
   license='MIT',
   description = 'X-CLIP',
   author = 'Phil Wang',

x_clip/x_clip.py

@@ -58,15 +58,7 @@ def matrix_diag(t):
 
 # checkpointing helper function
 
-def make_checkpointable(fn, **kwargs):
-    if isinstance(fn, nn.ModuleList):
-        return [maybe(make_checkpointable)(el, **kwargs) for el in fn]
-
-    condition = kwargs.pop('condition', None)
-
-    if exists(condition) and not condition(fn):
-        return fn
-
+def make_checkpointable(fn):
     @wraps(fn)
     def inner(*args):
         input_needs_grad = any([isinstance(el, torch.Tensor) and el.requires_grad for el in args])
@@ -246,12 +238,12 @@ def forward(
         mask = None
     ):
         can_checkpoint = self.training and self.checkpoint_during_training
+        checkpoint_fn = make_checkpointable if can_checkpoint else identity
 
         x = self.norm_in(x)
 
         for attn, ff in self.layers:
-            if can_checkpoint:
-                attn, ff = map(make_checkpointable, (attn, ff))
+            attn, ff = map(checkpoint_fn, (attn, ff))
 
             x = attn(x, mask, rotary_pos_emb) + x
             x = ff(x) + x
@@ -404,7 +396,7 @@ def __init__(
         simclr_temperature = 0.1,
         image_ssl_loss_weight = 0.05,
         multiview_loss_weight = 0.1,
-        checkpoint_during_training = True,
+        checkpoint_during_training = False,
         **kwargs
     ):
         super().__init__()