def schedule(step):
nonlocal init_val # need this to prevent UnboundLocalError: local variable 'init_val' referenced before assignment
pct = step / num_steps
ind, branches, prev_pct = 0, [], 0.
for val, stage_pct in vals_and_pcts:
ind = ind + jnp.uint8(pct > stage_pct)
branches.append(
_get_branch_fn(anneal_fn, init_val, val, stage_pct, prev_pct))
init_val, prev_pct = val, stage_pct
branches.append(lambda p: val)
return jax.lax.switch(ind, branches, pct)
def get_padding_value(dtype):
"""Returns the padding value given a dtype."""
padding_value = None
if dtype == np.uint8:
padding_value = np.uint8(0)
elif dtype == np.uint16:
padding_value = np.uint16(0)
elif dtype == np.float32 or dtype == np.float64:
padding_value = 0.0
else:
padding_value = 0
assert padding_value is not None
return padding_value
