Hello,
When I try and import the trax library like this:
Note: I do not face this error when using Google Collab but only Jupyter Notebook and Jupyter Labs. However, I need to do this on Jupyter notebooks/labs
Thanks
When I try and import the trax library like this:
import traxI get the below error. Any help would be greatly appreciated.
Note: I do not face this error when using Google Collab but only Jupyter Notebook and Jupyter Labs. However, I need to do this on Jupyter notebooks/labs
Thanks
--------------------------------------------------------------------------- ValueError Traceback (most recent call last) Cell In[6], line 1 ----> 1 import trax File ~/anaconda3/lib/python3.11/site-packages/trax/__init__.py:18 1 # coding=utf-8 2 # Copyright 2020 The Trax Authors. 3 # (...) 13 # See the License for the specific language governing permissions and 14 # limitations under the License. 16 """Trax top level import.""" ---> 18 from trax import layers 19 from trax import lr_schedules as lr 20 from trax import math File ~/anaconda3/lib/python3.11/site-packages/trax/layers/__init__.py:23 19 import gin 20 # We create a flat layers.* namespace for uniform calling conventions as we 21 # upstream changes. 22 # pylint: disable=wildcard-import ---> 23 from trax.layers.activation_fns import * 24 from trax.layers.attention import * 25 from trax.layers.base import * File ~/anaconda3/lib/python3.11/site-packages/trax/layers/activation_fns.py:26 1 # coding=utf-8 2 # Copyright 2020 The Trax Authors. 3 # (...) 15 16 # Lint as: python3 17 """Layers that compute activation functions. 18 19 An activation layer computes element-wise a nonlinear function of the preceding (...) 23 easier experimentation across different activation functions. 24 """ ---> 26 from trax import math 27 from trax.layers import base 28 from trax.math import numpy as np File ~/anaconda3/lib/python3.11/site-packages/trax/math/__init__.py:20 18 from trax.math import jax as jax_math 19 from trax.math import numpy as numpy_math ---> 20 from trax.math import tf as tf_math 21 from trax.math.backend import * # pylint: disable=wildcard-import 22 from trax.math.jax import nested_map File ~/anaconda3/lib/python3.11/site-packages/trax/math/tf.py:26 23 import tensorflow.compat.v2 as tf 25 from trax.shapes import ShapeDtype ---> 26 from trax.tf_numpy import extensions as tf_np_extensions 27 from trax.tf_numpy import numpy as tf_np 30 def tf_abstract_eval(f): File ~/anaconda3/lib/python3.11/site-packages/trax/tf_numpy/extensions/__init__.py:23 20 from __future__ import print_function 22 # pylint: disable=wildcard-import ---> 23 from trax.tf_numpy.extensions.extensions import * File ~/anaconda3/lib/python3.11/site-packages/trax/tf_numpy/extensions/extensions.py:30 27 import numpy as np 28 import tensorflow.compat.v2 as tf ---> 30 from trax.tf_numpy.numpy import arrays 31 from trax.tf_numpy.numpy import random 32 from trax.tf_numpy.numpy.array_creation import array File ~/anaconda3/lib/python3.11/site-packages/trax/tf_numpy/numpy/__init__.py:27 24 from trax.tf_numpy.numpy import random 26 # pylint: disable=wildcard-import ---> 27 from trax.tf_numpy.numpy.array_creation import * 28 from trax.tf_numpy.numpy.array_manipulation import * 29 from trax.tf_numpy.numpy.array_methods import * File ~/anaconda3/lib/python3.11/site-packages/trax/tf_numpy/numpy/array_creation.py:295 291 result_t = utils.cond(utils.greater(ndmin, ndims), true_fn, lambda: result_t) 292 return arrays.tensor_to_ndarray(result_t) --> 295 @utils.np_doc(np.asarray) 296 def asarray(a, dtype=None): 297 if dtype: 298 dtype = utils.result_type(dtype) File ~/anaconda3/lib/python3.11/site-packages/trax/tf_numpy/numpy/utils.py:192, in np_doc(np_fun) 182 def np_doc(np_fun): 183 """Attachs numpy docstring to a function. 184 185 Args: (...) 190 decorated function. 191 """ --> 192 np_sig = _np_signature(np_fun) 193 def decorator(f): 194 """The decorator.""" File ~/anaconda3/lib/python3.11/site-packages/trax/tf_numpy/numpy/utils.py:136, in _np_signature(f) 134 """An enhanced funcsigs.signature that can handle numpy.ufunc.""" 135 if not isinstance(f, np.ufunc): --> 136 return funcsigs.signature(f) 137 def names_from_num(prefix, n): 138 if n <= 0: File ~/anaconda3/lib/python3.11/site-packages/funcsigs/__init__.py:185, in signature(obj) 182 if isinstance(obj, types.BuiltinFunctionType): 183 # Raise a nicer error message for builtins 184 msg = 'no signature found for builtin function {0!r}'.format(obj) --> 185 raise ValueError(msg) 187 raise ValueError('callable {0!r} is not supported by signature'.format(obj)) ValueError: no signature found for builtin function <built-in function asarray>