Description
import matplotlib.pyplot as plt
import numpy as np
import time
import tensorflow as tf
import QuantLib as ql
tff for Tensorflow Finance
import tf_quant_finance as tff
from IPython.core.pylabtools import figsize
figsize(21, 14) # better graph size for Colab
ValueError Traceback (most recent call last)
in <cell line: 12>()
10
11 # tff for Tensorflow Finance
---> 12 import tf_quant_finance as tff
13
14 from IPython.core.pylabtools import figsize
16 frames
/usr/local/lib/python3.10/dist-packages/tensorflow_probability/python/internal/prefer_static.py in _copy_docstring(original_fn, new_fn)
82 new_spec = tf_inspect.getfullargspec(new_fn)
83 if original_spec != new_spec:
---> 84 raise ValueError(
85 'Arg specs do not match: original={}, new={}, fn={}'.format(
86 original_spec, new_spec, original_fn))
ValueError: Arg specs do not match: original=FullArgSpec(args=['input', 'dtype', 'name', 'layout'], varargs=None, varkw=None, defaults=(None, None, None), kwonlyargs=[], kwonlydefaults=None, annotations={}), new=FullArgSpec(args=['input', 'dtype', 'name'], varargs=None, varkw=None, defaults=(None, None), kwonlyargs=[], kwonlydefaults=None, annotations={}), fn=<function ones_like_v2 at 0x7d8479b6c5e0>