I have a very similar issue to this question M1 mac: mach-o file, but is an incompatible architecture (have 'x86_64', need 'arm64e') - python
I am trying to import tensorflow_probability in jupyter-lab, in a conda environment, on an M1 macbook pro.
This is my error:
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
Input In [1], in <cell line: 5>()
3 import tensorflow as tf
----> 4 import tensorflow_probability as tfp
File ~/miniforge3/envs/venv/lib/python3.8/site-
packages/tensorflow_probability/init.py:20, in <module>
15 """Tools for probabilistic reasoning in TensorFlow."""
17 # Contributors to the python/ dir should not alter this file; instead update
18 # python/__init__.py as necessary.
---> 20 from tensorflow_probability import substrates
21 # from tensorflow_probability.google import staging # DisableOnExport
22 # from tensorflow_probability.google import tfp_google # DisableOnExport
23 from tensorflow_probability.python import * # pylint: disable=wildcard-import
File ~/miniforge3/envs/venv/lib/python3.8/site-packages/tensorflow_probability/substrates/init.py:21, in <module>
18 from future import division
19 from future import print_function
---> 21 from tensorflow_probability.python.internal import all_util
22 from tensorflow_probability.python.internal import lazy_loader # pylint: disable=g-direct-tensorflow-import
25 jax = lazy_loader.LazyLoader(
26 'jax', globals(),
27 'tensorflow_probability.substrates.jax')
File ~/miniforge3/envs/venv/lib/python3.8/site-packages/tensorflow_probability/python/init.py:142, in <module>
139 if _tf_loaded():
140 # Non-lazy load of packages that register with tensorflow or keras.
141 for pkg_name in _maybe_nonlazy_load:
--> 142 dir(globals()[pkg_name]) # Forces loading the package from its lazy loader.
145 all_util.remove_undocumented(name, _lazy_load + _maybe_nonlazy_load)
File ~/miniforge3/envs/venv/lib/python3.8/site-packages/tensorflow_probability/python/internal/lazy_loader.py:61, in
LazyLoader.dir(self)
60 def dir(self):
---> 61 module = self._load()
62 return dir(module)
File ~/miniforge3/envs/venv/lib/python3.8/site-packages/tensorflow_probability/python/internal/lazy_loader.py:44, in LazyLoader._load(self)
42 self._on_first_access = None
43 # Import the target module and insert it into the parent's namespace
---> 44 module = importlib.import_module(self.name)
45 if self._parent_module_globals is not None:
46 self._parent_module_globals[self._local_name] = module
File ~/miniforge3/envs/venv/lib/python3.8/importlib/init.py:127, in import_module(name, package)
125 break
126 level += 1
--> 127 return _bootstrap._gcd_import(name[level:], package, level)
File ~/miniforge3/envs/venv/lib/python3.8/site-packages/tensorflow_probability/python/experimental/init.py:35, in <module>
32 from future import print_function
34 from tensorflow_probability.python.experimental import auto_batching
---> 35 from tensorflow_probability.python.experimental import bijectors
36 from tensorflow_probability.python.experimental import distribute
37 from tensorflow_probability.python.experimental import distributions
File ~/miniforge3/envs/venv/lib/python3.8/site -packages/tensorflow_probability/python/experimental/bijectors/init.py:17, in <module>
1 # Copyright 2020 The TensorFlow Probability Authors.
2 #
3 # Licensed under the Apache License, Version 2.0 (the "License");
(...)
13 # limitations under the License.
14 # ============================================================================
15 """TensorFlow Probability experimental bijectors package."""
---> 17 from tensorflow_probability.python.bijectors.ldj_ratio import forward_log_det_jacobian_ratio
18 from tensorflow_probability.python.bijectors.ldj_ratio import inverse_log_det_jacobian_ratio
19 from tensorflow_probability.python.experimental.bijectors.distribution_bijectors import make_distribution_bijector
File ~/miniforge3/envs/venv/lib/python3.8/site-packages/tensorflow_probability/python/bijectors/init.py:23, in <module>
19 from future import print_function
21 # pylint: disable=unused-import,wildcard-import,line-too-long,g-importing-member
---> 23 from tensorflow_probability.python.bijectors.absolute_value import AbsoluteValue
24 from tensorflow_probability.python.bijectors.ascending import Ascending
25 from tensorflow_probability.python.bijectors.batch_normalization import BatchNormalization
File ~/miniforge3/envs/venv/lib/python3.8/site-packages/tensorflow_probability/python/bijectors/absolute_value.py:23, in <module>
19 from future import print_function
21 import tensorflow.compat.v2 as tf
---> 23 from tensorflow_probability.python.bijectors import bijector
24 from tensorflow_probability.python.internal import assert_util
25 from tensorflow_probability.python.internal import dtype_util
File ~/miniforge3/envs/venv/lib/python3.8/site-packages/tensorflow_probability/python/bijectors/bijector.py:30, in <module>
28 from tensorflow_probability.python.internal import assert_util
29 from tensorflow_probability.python.internal import auto_composite_tensor
---> 30 from tensorflow_probability.python.internal import batch_shape_lib
31 from tensorflow_probability.python.internal import cache_util
32 from tensorflow_probability.python.internal import dtype_util
File ~/miniforge3/envs/venv/lib/python3.8/site-packages/tensorflow_probability/python/internal/batch_shape_lib.py:23, in <module>
20 import numpy as np
21 import tensorflow.compat.v2 as tf
---> 23 from tensorflow_probability.python.internal import prefer_static as ps
24 from tensorflow_probability.python.internal import tensor_util
25 from tensorflow_probability.python.internal import tensorshape_util
File ~/miniforge3/envs/venv/lib/python3.8/site-packages/tensorflow_probability/python/internal/prefer_static.py:30, in <module>
28 from tensorflow_probability.python.internal import dtype_util
29 from tensorflow_probability.python.internal import tensorshape_util
---> 30 from tensorflow_probability.python.internal.backend import numpy as nptf
32 # Try catch required to avoid breaking Probability opensource presubmits.
33 # TODO(amitpatankar): Remove this once tf-nightly has latest code.
34 # pylint: disable=g-import-not-at-top
35 try:
File ~/miniforge3/envs/venv/lib/python3.8/site-packages/tensorflow_probability/python/internal/backend/numpy/init.py:22, in <module>
19 from future import print_function
21 from tensorflow_probability.python.internal.backend.numpy import internal
---> 22 from tensorflow_probability.python.internal.backend.numpy import bitwise
23 from tensorflow_probability.python.internal.backend.numpy import compat
24 from tensorflow_probability.python.internal.backend.numpy import config
File ~/miniforge3/envs/venv/lib/python3.8/site-packages/tensorflow_probability/python/internal/backend/numpy/bitwise.py:23, in <module>
19 from future import print_function
21 import numpy as np
---> 23 from tensorflow_probability.python.internal.backend.numpy import _utils as utils
25 all = [
26 'bitwise_xor',
27 'left_shift',
28 ]
31 bitwise_xor = utils.copy_docstring(
32 'tf.bitwise.bitwise_xor',
33 lambda x, y, name=None: np.bitwise_xor(x, y)) # pylint: disable=unused-argument
File ~/miniforge3/envs/venv/lib/python3.8/site-packages/tensorflow_probability/python/internal/backend/numpy/_utils.py:26, in <module>
23 import types
25 import numpy as np
---> 26 from tensorflow_probability.python.internal.backend.numpy import nest
28 try:
29 from tensorflow.python.ops import array_ops # pylint: disable=g-direct-tensorflow-import,g-import-not-at-top,unused-import
File ~/miniforge3/envs/venv/lib/python3.8/site-packages/tensorflow_probability/python/internal/backend/numpy/nest.py:34, in <module>
32 from collections import abc as collections_abc
33 import types
---> 34 import tree as dm_tree
36 # pylint: disable=g-import-not-at-top
37 try:
File ~/miniforge3/envs/venv/lib/python3.8/site-packages/tree/init.py:40, in <module>
37 typing_available = True
39 try:
---> 40 from tree import _tree
41 except ImportError:
42 if "sphinx" not in sys.modules:
ImportError: dlopen(/Users/martin/miniforge3/envs/venv/lib/python3.8/site-packages/tree/_tree.cpython-38-darwin.so, 0x0002): tried: '/Users/martin/miniforge3/envs/venv/lib/python3.8/site-packages/tree/_tree.cpython-38-darwin.so' (mach-o file, but is an incompatible architecture (have 'x86_64', need 'arm64e'))
I have tried following the advice given in the other thread, but without success, e.g. "conda install -c conda-forge tree" (since this seems to replace lxml in my issue).
I appreciate any advice!
