tensorflow module compiled with numpy 1.x
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# Description:
When importing tensorflow an error is emitted:
```
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.0.0 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
```
<details><summary>Click to see full error</summary>
```
>>> import tensorflow2024-07-11 10:11:58.913626: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.0.0 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last): File "/usr/lib/python3.12/site-packages/bpython/curtsiesfrontend/coderunner.py", line 185, in _blocking_run_code
unfinished = self.interp.runsource(self.source)
File "/usr/lib/python3.12/site-packages/bpython/repl.py", line 153, in runsource
return super().runsource(source, filename, symbol)
File "/usr/lib/python3.12/code.py", line 74, in runsource
self.runcode(code)
File "/usr/lib/python3.12/code.py", line 90, in runcode
exec(code, self.locals)
File "<bpython-input-3>", line 1, in <module>
import tensorflow
File "/usr/lib/python3.12/site-packages/tensorflow/__init__.py", line 46, in <module>
from tensorflow._api.v2 import __internal__
File "/usr/lib/python3.12/site-packages/tensorflow/_api/v2/__internal__/__init__.py", line 8, in <module>
from tensorflow._api.v2.__internal__ import autograph
File "/usr/lib/python3.12/site-packages/tensorflow/_api/v2/__internal__/autograph/__init__.py", line 8, in <module>
from tensorflow.python.autograph.core.ag_ctx import control_status_ctx # line: 34
File "/usr/lib/python3.12/site-packages/tensorflow/python/autograph/core/ag_ctx.py", line 21, in <module>
from tensorflow.python.autograph.utils import ag_logging
File "/usr/lib/python3.12/site-packages/tensorflow/python/autograph/utils/__init__.py", line 17, in <module>
from tensorflow.python.autograph.utils.context_managers import control_dependency_on_returns
File "/usr/lib/python3.12/site-packages/tensorflow/python/autograph/utils/context_managers.py", line 19, in <module>
from tensorflow.python.framework import ops
File "/usr/lib/python3.12/site-packages/tensorflow/python/framework/ops.py", line 46, in <module>
from tensorflow.python import pywrap_tfe
File "/usr/lib/python3.12/site-packages/tensorflow/python/pywrap_tfe.py", line 25, in <module>
from tensorflow.python._pywrap_tfe import *
Traceback (most recent call last):
File "/usr/lib/python3.12/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
raise ImportError(msg)
ImportError:
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.0.0 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.0.0 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last): File "/usr/lib/python3.12/site-packages/bpython/curtsiesfrontend/coderunner.py", line 185, in _blocking_run_code
unfinished = self.interp.runsource(self.source)
File "/usr/lib/python3.12/site-packages/bpython/repl.py", line 153, in runsource
return super().runsource(source, filename, symbol)
File "/usr/lib/python3.12/code.py", line 74, in runsource
self.runcode(code)
File "/usr/lib/python3.12/code.py", line 90, in runcode
exec(code, self.locals)
File "<bpython-input-3>", line 1, in <module>
import tensorflow
File "/usr/lib/python3.12/site-packages/tensorflow/__init__.py", line 46, in <module>
from tensorflow._api.v2 import __internal__
File "/usr/lib/python3.12/site-packages/tensorflow/_api/v2/__internal__/__init__.py", line 8, in <module>
from tensorflow._api.v2.__internal__ import autograph
File "/usr/lib/python3.12/site-packages/tensorflow/_api/v2/__internal__/autograph/__init__.py", line 8, in <module>
from tensorflow.python.autograph.core.ag_ctx import control_status_ctx # line: 34
File "/usr/lib/python3.12/site-packages/tensorflow/python/autograph/core/ag_ctx.py", line 21, in <module>
from tensorflow.python.autograph.utils import ag_logging
File "/usr/lib/python3.12/site-packages/tensorflow/python/autograph/utils/__init__.py", line 17, in <module>
from tensorflow.python.autograph.utils.context_managers import control_dependency_on_returns
File "/usr/lib/python3.12/site-packages/tensorflow/python/autograph/utils/context_managers.py", line 19, in <module>
from tensorflow.python.framework import ops
File "/usr/lib/python3.12/site-packages/tensorflow/python/framework/ops.py", line 49, in <module>
from tensorflow.python.client import pywrap_tf_session
File "/usr/lib/python3.12/site-packages/tensorflow/python/client/pywrap_tf_session.py", line 19, in <module>
from tensorflow.python.client._pywrap_tf_session import *
Traceback (most recent call last):
File "/usr/lib/python3.12/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
raise ImportError(msg)
ImportError:
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.0.0 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.0.0 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last): File "/usr/lib/python3.12/site-packages/bpython/curtsiesfrontend/coderunner.py", line 185, in _blocking_run_code
unfinished = self.interp.runsource(self.source)
File "/usr/lib/python3.12/site-packages/bpython/repl.py", line 153, in runsource
return super().runsource(source, filename, symbol)
File "/usr/lib/python3.12/code.py", line 74, in runsource
self.runcode(code)
File "/usr/lib/python3.12/code.py", line 90, in runcode
exec(code, self.locals)
File "<bpython-input-3>", line 1, in <module>
import tensorflow
File "/usr/lib/python3.12/site-packages/tensorflow/__init__.py", line 46, in <module>
from tensorflow._api.v2 import __internal__
File "/usr/lib/python3.12/site-packages/tensorflow/_api/v2/__internal__/__init__.py", line 11, in <module>
from tensorflow._api.v2.__internal__ import distribute
File "/usr/lib/python3.12/site-packages/tensorflow/_api/v2/__internal__/distribute/__init__.py", line 8, in <module>
from tensorflow._api.v2.__internal__.distribute import combinations
File "/usr/lib/python3.12/site-packages/tensorflow/_api/v2/__internal__/distribute/combinations/__init__.py", line 8, in <module>
from tensorflow.python.distribute.combinations import env # line: 456
File "/usr/lib/python3.12/site-packages/tensorflow/python/distribute/combinations.py", line 33, in <module>
from tensorflow.python.distribute import collective_all_reduce_strategy
File "/usr/lib/python3.12/site-packages/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 25, in <module>
from tensorflow.python.distribute import cross_device_ops as cross_device_ops_lib
File "/usr/lib/python3.12/site-packages/tensorflow/python/distribute/cross_device_ops.py", line 28, in <module>
from tensorflow.python.distribute import cross_device_utils
File "/usr/lib/python3.12/site-packages/tensorflow/python/distribute/cross_device_utils.py", line 22, in <module>
from tensorflow.python.distribute import values as value_lib
File "/usr/lib/python3.12/site-packages/tensorflow/python/distribute/values.py", line 23, in <module>
from tensorflow.python.distribute import distribute_lib
File "/usr/lib/python3.12/site-packages/tensorflow/python/distribute/distribute_lib.py", line 205, in <module>
from tensorflow.python.data.ops import dataset_ops
File "/usr/lib/python3.12/site-packages/tensorflow/python/data/__init__.py", line 21, in <module>
from tensorflow.python.data import experimental
File "/usr/lib/python3.12/site-packages/tensorflow/python/data/experimental/__init__.py", line 98, in <module>
from tensorflow.python.data.experimental import service
File "/usr/lib/python3.12/site-packages/tensorflow/python/data/experimental/service/__init__.py", line 419, in <module>
from tensorflow.python.data.experimental.ops.data_service_ops import distribute
File "/usr/lib/python3.12/site-packages/tensorflow/python/data/experimental/ops/data_service_ops.py", line 26, in <module>
from tensorflow.python.data.ops import dataset_ops
File "/usr/lib/python3.12/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 34, in <module>
from tensorflow.python.data.ops import iterator_ops
File "/usr/lib/python3.12/site-packages/tensorflow/python/data/ops/iterator_ops.py", line 45, in <module>
from tensorflow.python.training.saver import BaseSaverBuilder
File "/usr/lib/python3.12/site-packages/tensorflow/python/training/saver.py", line 50, in <module>
from tensorflow.python.training import py_checkpoint_reader
File "/usr/lib/python3.12/site-packages/tensorflow/python/training/py_checkpoint_reader.py", line 19, in <module>
from tensorflow.python.util._pywrap_checkpoint_reader import CheckpointReader
Traceback (most recent call last):
File "/usr/lib/python3.12/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
raise ImportError(msg)
ImportError:
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.0.0 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):
File "<input>", line 1, in <module>
import tensorflow
File "/usr/lib/python3.12/site-packages/tensorflow/__init__.py", line 46, in <module>
from tensorflow._api.v2 import __internal__
File "/usr/lib/python3.12/site-packages/tensorflow/_api/v2/__internal__/__init__.py", line 11, in <module>
from tensorflow._api.v2.__internal__ import distribute
File "/usr/lib/python3.12/site-packages/tensorflow/_api/v2/__internal__/distribute/__init__.py", line 8, in <module>
from tensorflow._api.v2.__internal__.distribute import combinations
File "/usr/lib/python3.12/site-packages/tensorflow/_api/v2/__internal__/distribute/combinations/__init__.py", line 8, in <module>
from tensorflow.python.distribute.combinations import env # line: 456
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/lib/python3.12/site-packages/tensorflow/python/distribute/combinations.py", line 33, in <module>
from tensorflow.python.distribute import collective_all_reduce_strategy
File "/usr/lib/python3.12/site-packages/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 25, in <module>
from tensorflow.python.distribute import cross_device_ops as cross_device_ops_lib
File "/usr/lib/python3.12/site-packages/tensorflow/python/distribute/cross_device_ops.py", line 28, in <module>
from tensorflow.python.distribute import cross_device_utils
File "/usr/lib/python3.12/site-packages/tensorflow/python/distribute/cross_device_utils.py", line 22, in <module>
from tensorflow.python.distribute import values as value_lib
File "/usr/lib/python3.12/site-packages/tensorflow/python/distribute/values.py", line 23, in <module>
from tensorflow.python.distribute import distribute_lib
File "/usr/lib/python3.12/site-packages/tensorflow/python/distribute/distribute_lib.py", line 205, in <module>
from tensorflow.python.data.ops import dataset_ops
File "/usr/lib/python3.12/site-packages/tensorflow/python/data/__init__.py", line 21, in <module>
from tensorflow.python.data import experimental
File "/usr/lib/python3.12/site-packages/tensorflow/python/data/experimental/__init__.py", line 98, in <module>
from tensorflow.python.data.experimental import service
File "/usr/lib/python3.12/site-packages/tensorflow/python/data/experimental/service/__init__.py", line 419, in <module>
from tensorflow.python.data.experimental.ops.data_service_ops import distribute
File "/usr/lib/python3.12/site-packages/tensorflow/python/data/experimental/ops/data_service_ops.py", line 26, in <module>
from tensorflow.python.data.ops import dataset_ops
File "/usr/lib/python3.12/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 34, in <module>
from tensorflow.python.data.ops import iterator_ops
File "/usr/lib/python3.12/site-packages/tensorflow/python/data/ops/iterator_ops.py", line 45, in <module>
from tensorflow.python.training.saver import BaseSaverBuilder
File "/usr/lib/python3.12/site-packages/tensorflow/python/training/saver.py", line 50, in <module>
from tensorflow.python.training import py_checkpoint_reader
File "/usr/lib/python3.12/site-packages/tensorflow/python/training/py_checkpoint_reader.py", line 19, in <module>
from tensorflow.python.util._pywrap_checkpoint_reader import CheckpointReader
SystemError: initialization of _pywrap_checkpoint_reader raised unreported exception
```
</details>
# Additional info:
* package version(s): `2.17.0rc1-2`
* link to upstream bug report, if any: -
# Steps to reproduce:
<!-- Describe how to reproduce the bug step by step including the commands -->
1. Download and install tensorflow
2. `import tensorflow`
issue