def d_scalar_fun(*args):
return to_scalar(grad(scalar_fun, argnum=i)(*args))
def scalar_fun(*new_args):
full_args = list(args)
for i, argnum in enumerate(argnums):
full_args[argnum] = new_args[i]
return to_scalar(fun(*full_args, **kwargs))
def scalar_fun(*new_args):
full_args = list(args)
for i, argnum in enumerate(argnums):
full_args[argnum] = new_args[i]
return to_scalar(fun(*full_args, **kwargs))
def d_scalar_fun(*args):
return to_scalar(grad(scalar_fun, argnum=i)(*args))
def scalar_args_fun(*new_args):
full_args = list(args)
for i, argnum in enumerate(argnums):
wrt_flat, unflatten = flatten(wrt_args[i])
full_args[argnum] = unflatten(wrt_flat + new_args[i] * rand_vecs[i])
return to_scalar(fun(*full_args, **kwargs))