def make_checkpoint(function: Function, input: TensorOrTensors, index: int) -> TensorOrTensors:
"""Makes a checkpoint with a simple interface like
:func:`torch.utils.checkpoint.checkpoint`. It's only used to test or debug
:class:`Checkpoint` and :class:`Recompute` without boilerplate.
"""
batch = Batch(input, index)
chk = Checkpointing(function, batch)
batch = chk.checkpoint()
chk.recompute(batch)
return batch.tensor_or_tensors
def test_not_requires_grad():
x = Batch(torch.rand(1, requires_grad=False))
assert not x[0].requires_grad
def f(x):
return x * 2
chk = Checkpointing(f, x)
x = chk.checkpoint()
assert x[0].requires_grad
chk.recompute(x)
assert x[0].requires_grad
x.tensor.backward()