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Update checkpoint.py #153

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8 changes: 4 additions & 4 deletions shap_e/models/nn/checkpoint.py
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Original file line number Diff line number Diff line change
Expand Up @@ -28,7 +28,7 @@ def checkpoint(

class CheckpointFunction(torch.autograd.Function):
@staticmethod
@custom_fwd
@custom_fwd(device_type='cuda')
def forward(ctx, run_function, length, *args):
ctx.run_function = run_function
ctx.length = length
Expand All @@ -40,7 +40,7 @@ def forward(ctx, run_function, length, *args):
return output_tensors

@staticmethod
@custom_bwd
@custom_bwd(device_type='cuda')
def backward(ctx, *output_grads):
inputs = ctx.saved_tensors
input_tensors = inputs[: ctx.length]
Expand All @@ -58,7 +58,7 @@ def backward(ctx, *output_grads):

class CheckpointFunctionGradFunction(torch.autograd.Function):
@staticmethod
@custom_fwd
@custom_fwd(device_type='cuda')
def forward(ctx, run_function, length_1, length_2, *args):
ctx.run_function = run_function
ctx.length_1 = length_1
Expand All @@ -83,7 +83,7 @@ def forward(ctx, run_function, length_1, length_2, *args):
return input_grads

@staticmethod
@custom_bwd
@custom_bwd(device_type='cuda')
def backward(ctx, *all_output_grads):
args = ctx.saved_tensors
input_tensors = [x.detach().requires_grad_(True) for x in args[: ctx.length_1]]
Expand Down