Hello,
I am trying to install autokeras, I followed the instruction: Installation - AutoKeras but when I run “pip install autokeras” it fails with the following error
error: subprocess-exited-with-error
python setup.py egg_info did not run successfully.
exit code: 1
[6 lines of output]
Traceback (most recent call last):
File "<string>", line 2, in <module>
File "<pip-setuptools-caller>", line 34, in <module>
File "C:\Users\xyz\AppData\Local\Temp\pip-install-llcqb_7t\h5py_bb8445dbae6d4ff1a100a226057a64ed\setup.py", line 24, in <module>
from distutils.command.build_py \
ImportError: cannot import name 'build_py_2to3' from 'distutils.command.build_py' (C:\Users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages\setuptools\_distutils\command\build_py.py)
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed
I am using Python3.9, anaconda, jupyter notebook and packages below:
tensorflow 2.10.1
pip 24.0
setuptools 69.5.1
I tried using different setuptools versions, upgrading and downgrading as suggested on stackoverflow and github forums, but still no success. Any ideas what else I can do? Thank you in advance!
Full log:
Collecting autokeras
Using cached autokeras-2.0.0-py3-none-any.whl.metadata (5.8 kB)
Requirement already satisfied: packaging in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from autokeras) (23.2)
Requirement already satisfied: keras-tuner>=1.4.0 in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from autokeras) (1.4.7)
Collecting keras-nlp>=0.8.0 (from autokeras)
Using cached keras_nlp-0.9.3-py3-none-any.whl.metadata (7.0 kB)
Collecting keras>=3.0.0 (from autokeras)
Using cached keras-3.2.1-py3-none-any.whl.metadata (5.6 kB)
Collecting dm-tree (from autokeras)
Using cached dm_tree-0.1.8-cp39-cp39-win_amd64.whl.metadata (2.0 kB)
Requirement already satisfied: absl-py in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from keras>=3.0.0->autokeras) (2.1.0)
Requirement already satisfied: numpy in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from keras>=3.0.0->autokeras) (1.26.4)
Collecting rich (from keras>=3.0.0->autokeras)
Using cached rich-13.7.1-py3-none-any.whl.metadata (18 kB)
Collecting namex (from keras>=3.0.0->autokeras)
Using cached namex-0.0.8-py3-none-any.whl.metadata (246 bytes)
Requirement already satisfied: h5py in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from keras>=3.0.0->autokeras) (3.11.0)
Collecting optree (from keras>=3.0.0->autokeras)
Using cached optree-0.11.0-cp39-cp39-win_amd64.whl.metadata (46 kB)
Collecting ml-dtypes (from keras>=3.0.0->autokeras)
Using cached ml_dtypes-0.4.0-cp39-cp39-win_amd64.whl.metadata (20 kB)
Collecting keras-core (from keras-nlp>=0.8.0->autokeras)
Using cached keras_core-0.1.7-py3-none-any.whl.metadata (4.3 kB)
Collecting regex (from keras-nlp>=0.8.0->autokeras)
Using cached regex-2024.4.16-cp39-cp39-win_amd64.whl.metadata (41 kB)
Collecting kagglehub (from keras-nlp>=0.8.0->autokeras)
Using cached kagglehub-0.2.3-py3-none-any.whl.metadata (18 kB)
Collecting tensorflow-text (from keras-nlp>=0.8.0->autokeras)
Using cached tensorflow_text-2.10.0-cp39-cp39-win_amd64.whl.metadata (2.1 kB)
Requirement already satisfied: requests in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from keras-tuner>=1.4.0->autokeras) (2.31.0)
Requirement already satisfied: kt-legacy in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from keras-tuner>=1.4.0->autokeras) (1.0.5)
Collecting tqdm (from kagglehub->keras-nlp>=0.8.0->autokeras)
Using cached tqdm-4.66.2-py3-none-any.whl.metadata (57 kB)
Requirement already satisfied: typing-extensions>=4.0.0 in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from optree->keras>=3.0.0->autokeras) (4.9.0)
Requirement already satisfied: charset-normalizer<4,>=2 in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from requests->keras-tuner>=1.4.0->autokeras) (2.0.4)
Requirement already satisfied: idna<4,>=2.5 in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from requests->keras-tuner>=1.4.0->autokeras) (3.4)
Requirement already satisfied: urllib3<3,>=1.21.1 in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from requests->keras-tuner>=1.4.0->autokeras) (2.1.0)
Requirement already satisfied: certifi>=2017.4.17 in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from requests->keras-tuner>=1.4.0->autokeras) (2024.2.2)
Collecting markdown-it-py>=2.2.0 (from rich->keras>=3.0.0->autokeras)
Using cached markdown_it_py-3.0.0-py3-none-any.whl.metadata (6.9 kB)
Requirement already satisfied: pygments<3.0.0,>=2.13.0 in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from rich->keras>=3.0.0->autokeras) (2.15.1)
Collecting tensorflow-hub>=0.8.0 (from tensorflow-text->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow_hub-0.16.1-py2.py3-none-any.whl.metadata (1.3 kB)
Requirement already satisfied: tensorflow<2.11,>=2.10.0 in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from tensorflow-text->keras-nlp>=0.8.0->autokeras) (2.10.1)
Collecting mdurl~=0.1 (from markdown-it-py>=2.2.0->rich->keras>=3.0.0->autokeras)
Using cached mdurl-0.1.2-py3-none-any.whl.metadata (1.6 kB)
Requirement already satisfied: astunparse>=1.6.0 in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from tensorflow<2.11,>=2.10.0->tensorflow-text->keras-nlp>=0.8.0->autokeras) (1.6.3)
Requirement already satisfied: flatbuffers>=2.0 in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from tensorflow<2.11,>=2.10.0->tensorflow-text->keras-nlp>=0.8.0->autokeras) (24.3.25)
Requirement already satisfied: gast<=0.4.0,>=0.2.1 in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from tensorflow<2.11,>=2.10.0->tensorflow-text->keras-nlp>=0.8.0->autokeras) (0.4.0)
Requirement already satisfied: google-pasta>=0.1.1 in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from tensorflow<2.11,>=2.10.0->tensorflow-text->keras-nlp>=0.8.0->autokeras) (0.2.0)
Requirement already satisfied: keras-preprocessing>=1.1.1 in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from tensorflow<2.11,>=2.10.0->tensorflow-text->keras-nlp>=0.8.0->autokeras) (1.1.2)
Requirement already satisfied: libclang>=13.0.0 in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from tensorflow<2.11,>=2.10.0->tensorflow-text->keras-nlp>=0.8.0->autokeras) (18.1.1)
Requirement already satisfied: opt-einsum>=2.3.2 in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from tensorflow<2.11,>=2.10.0->tensorflow-text->keras-nlp>=0.8.0->autokeras) (3.3.0)
Requirement already satisfied: protobuf<3.20,>=3.9.2 in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from tensorflow<2.11,>=2.10.0->tensorflow-text->keras-nlp>=0.8.0->autokeras) (3.19.6)
Requirement already satisfied: setuptools in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from tensorflow<2.11,>=2.10.0->tensorflow-text->keras-nlp>=0.8.0->autokeras) (69.5.1)
Requirement already satisfied: six>=1.12.0 in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from tensorflow<2.11,>=2.10.0->tensorflow-text->keras-nlp>=0.8.0->autokeras) (1.16.0)
Requirement already satisfied: termcolor>=1.1.0 in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from tensorflow<2.11,>=2.10.0->tensorflow-text->keras-nlp>=0.8.0->autokeras) (2.4.0)
Requirement already satisfied: wrapt>=1.11.0 in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from tensorflow<2.11,>=2.10.0->tensorflow-text->keras-nlp>=0.8.0->autokeras) (1.16.0)
Requirement already satisfied: tensorflow-io-gcs-filesystem>=0.23.1 in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from tensorflow<2.11,>=2.10.0->tensorflow-text->keras-nlp>=0.8.0->autokeras) (0.31.0)
Requirement already satisfied: grpcio<2.0,>=1.24.3 in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from tensorflow<2.11,>=2.10.0->tensorflow-text->keras-nlp>=0.8.0->autokeras) (1.62.2)
Requirement already satisfied: tensorboard<2.11,>=2.10 in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from tensorflow<2.11,>=2.10.0->tensorflow-text->keras-nlp>=0.8.0->autokeras) (2.10.1)
Requirement already satisfied: tensorflow-estimator<2.11,>=2.10.0 in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from tensorflow<2.11,>=2.10.0->tensorflow-text->keras-nlp>=0.8.0->autokeras) (2.10.0)
INFO: pip is looking at multiple versions of tensorflow to determine which version is compatible with other requirements. This could take a while.
Collecting tensorflow<2.11,>=2.10.0 (from tensorflow-text->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow-2.10.0-cp39-cp39-win_amd64.whl.metadata (3.1 kB)
Collecting tensorflow-text (from keras-nlp>=0.8.0->autokeras)
Using cached tensorflow_text-2.9.0-cp39-cp39-win_amd64.whl.metadata (2.1 kB)
Collecting tensorflow<2.10,>=2.9.0 (from tensorflow-text->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow-2.9.3-cp39-cp39-win_amd64.whl.metadata (3.0 kB)
Collecting flatbuffers<2,>=1.12 (from tensorflow<2.10,>=2.9.0->tensorflow-text->keras-nlp>=0.8.0->autokeras)
Using cached flatbuffers-1.12-py2.py3-none-any.whl.metadata (872 bytes)
Collecting tensorboard<2.10,>=2.9 (from tensorflow<2.10,>=2.9.0->tensorflow-text->keras-nlp>=0.8.0->autokeras)
Using cached tensorboard-2.9.1-py3-none-any.whl.metadata (1.9 kB)
Collecting tensorflow-estimator<2.10.0,>=2.9.0rc0 (from tensorflow<2.10,>=2.9.0->tensorflow-text->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow_estimator-2.9.0-py2.py3-none-any.whl.metadata (1.3 kB)
Collecting tensorflow<2.10,>=2.9.0 (from tensorflow-text->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow-2.9.2-cp39-cp39-win_amd64.whl.metadata (3.0 kB)
Using cached tensorflow-2.9.1-cp39-cp39-win_amd64.whl.metadata (3.0 kB)
Using cached tensorflow-2.9.0-cp39-cp39-win_amd64.whl.metadata (3.0 kB)
Collecting tensorflow-text (from keras-nlp>=0.8.0->autokeras)
Using cached tensorflow_text-2.8.2-cp39-cp39-win_amd64.whl.metadata (2.1 kB)
Collecting tensorflow<2.9,>=2.8.0 (from tensorflow-text->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow-2.8.4-cp39-cp39-win_amd64.whl.metadata (2.9 kB)
Collecting tensorboard<2.9,>=2.8 (from tensorflow<2.9,>=2.8.0->tensorflow-text->keras-nlp>=0.8.0->autokeras)
Using cached tensorboard-2.8.0-py3-none-any.whl.metadata (1.9 kB)
Collecting tensorflow-estimator<2.9,>=2.8 (from tensorflow<2.9,>=2.8.0->tensorflow-text->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow_estimator-2.8.0-py2.py3-none-any.whl.metadata (1.3 kB)
Collecting tensorflow<2.9,>=2.8.0 (from tensorflow-text->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow-2.8.3-cp39-cp39-win_amd64.whl.metadata (2.9 kB)
INFO: pip is still looking at multiple versions of tensorflow to determine which version is compatible with other requirements. This could take a while.
Using cached tensorflow-2.8.2-cp39-cp39-win_amd64.whl.metadata (2.9 kB)
Using cached tensorflow-2.8.1-cp39-cp39-win_amd64.whl.metadata (2.9 kB)
Using cached tensorflow-2.8.0-cp39-cp39-win_amd64.whl.metadata (2.9 kB)
Collecting tf-estimator-nightly==2.8.0.dev2021122109 (from tensorflow<2.9,>=2.8.0->tensorflow-text->keras-nlp>=0.8.0->autokeras)
Using cached tf_estimator_nightly-2.8.0.dev2021122109-py2.py3-none-any.whl.metadata (1.2 kB)
Collecting tensorflow-text (from keras-nlp>=0.8.0->autokeras)
Using cached tensorflow_text-2.8.1-cp39-cp39-win_amd64.whl.metadata (2.0 kB)
INFO: This is taking longer than usual. You might need to provide the dependency resolver with stricter constraints to reduce runtime. See https://pip.pypa.io/warnings/backtracking for guidance. If you want to abort this run, press Ctrl + C.
Using cached tensorflow_text-2.7.3-cp39-cp39-win_amd64.whl.metadata (1.8 kB)
Collecting tensorflow<2.8,>=2.7.0 (from tensorflow-text->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow-2.7.4-cp39-cp39-win_amd64.whl.metadata (2.9 kB)
Collecting flatbuffers<3.0,>=1.12 (from tensorflow<2.8,>=2.7.0->tensorflow-text->keras-nlp>=0.8.0->autokeras)
Using cached flatbuffers-2.0.7-py2.py3-none-any.whl.metadata (872 bytes)
Requirement already satisfied: wheel<1.0,>=0.32.0 in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from tensorflow<2.8,>=2.7.0->tensorflow-text->keras-nlp>=0.8.0->autokeras) (0.43.0)
Collecting tensorflow-estimator<2.8,~=2.7.0rc0 (from tensorflow<2.8,>=2.7.0->tensorflow-text->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow_estimator-2.7.0-py2.py3-none-any.whl.metadata (1.2 kB)
Collecting tensorflow<2.8,>=2.7.0 (from tensorflow-text->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow-2.7.3-cp39-cp39-win_amd64.whl.metadata (2.9 kB)
Using cached tensorflow-2.7.2-cp39-cp39-win_amd64.whl.metadata (2.9 kB)
Using cached tensorflow-2.7.1-cp39-cp39-win_amd64.whl.metadata (2.9 kB)
Using cached tensorflow-2.7.0-cp39-cp39-win_amd64.whl.metadata (2.9 kB)
Collecting tensorflow-text (from keras-nlp>=0.8.0->autokeras)
Using cached tensorflow_text-2.6.0-cp39-cp39-win_amd64.whl.metadata (1.8 kB)
Collecting tensorflow<2.7,>=2.6.0 (from tensorflow-text->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow-2.6.5-cp39-cp39-win_amd64.whl.metadata (2.8 kB)
Using cached tensorflow-2.6.4-cp39-cp39-win_amd64.whl.metadata (2.8 kB)
Using cached tensorflow-2.6.3-cp39-cp39-win_amd64.whl.metadata (2.8 kB)
Using cached tensorflow-2.6.2-cp39-cp39-win_amd64.whl.metadata (2.8 kB)
Using cached tensorflow-2.6.1-cp39-cp39-win_amd64.whl.metadata (2.8 kB)
Using cached tensorflow-2.6.0-cp39-cp39-win_amd64.whl.metadata (2.8 kB)
Collecting tensorflow-text (from keras-nlp>=0.8.0->autokeras)
Using cached tensorflow_text-2.5.0-cp39-cp39-win_amd64.whl.metadata (1.8 kB)
Collecting tensorflow<2.6,>=2.5.0 (from tensorflow-text->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow-2.5.3-cp39-cp39-win_amd64.whl.metadata (2.8 kB)
Using cached tensorflow-2.5.2-cp39-cp39-win_amd64.whl.metadata (2.8 kB)
Using cached tensorflow-2.5.1-cp39-cp39-win_amd64.whl.metadata (2.8 kB)
Using cached tensorflow-2.5.0-cp39-cp39-win_amd64.whl.metadata (2.8 kB)
Collecting ml-dtypes (from keras>=3.0.0->autokeras)
Using cached ml_dtypes-0.3.2-cp39-cp39-win_amd64.whl.metadata (20 kB)
Using cached ml_dtypes-0.3.1-cp39-cp39-win_amd64.whl.metadata (20 kB)
Using cached ml_dtypes-0.3.0-cp39-cp39-win_amd64.whl.metadata (20 kB)
Using cached ml_dtypes-0.2.0-cp39-cp39-win_amd64.whl.metadata (20 kB)
Using cached ml_dtypes-0.1.0-cp39-cp39-win_amd64.whl.metadata (16 kB)
Using cached ml_dtypes-0.0.4-cp39-cp39-win_amd64.whl.metadata (16 kB)
Using cached ml_dtypes-0.0.3-cp39-cp39-win_amd64.whl.metadata (16 kB)
Using cached ml_dtypes-0.0.2-cp39-cp39-win_amd64.whl.metadata (15 kB)
Using cached ml_dtypes-0.0.1.tar.gz (680 kB)
Installing build dependencies: started
Installing build dependencies: finished with status 'done'
Getting requirements to build wheel: started
Getting requirements to build wheel: finished with status 'done'
Installing backend dependencies: started
Installing backend dependencies: finished with status 'done'
Preparing metadata (pyproject.toml): started
Preparing metadata (pyproject.toml): finished with status 'done'
Collecting keras-core (from keras-nlp>=0.8.0->autokeras)
Using cached keras_core-0.1.6-py3-none-any.whl.metadata (4.3 kB)
Using cached keras_core-0.1.5-py3-none-any.whl.metadata (4.0 kB)
Using cached keras_core-0.1.4-py3-none-any.whl.metadata (4.0 kB)
Using cached keras_core-0.1.3-py3-none-any.whl.metadata (4.0 kB)
Using cached keras_core-0.1.2-py3-none-any.whl.metadata (3.9 kB)
Using cached keras_core-0.1.1-py3-none-any.whl.metadata (3.9 kB)
Using cached keras_core-0.1.0-py3-none-any.whl.metadata (3.9 kB)
Collecting tensorflow (from keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow-2.16.1-cp39-cp39-win_amd64.whl.metadata (3.5 kB)
Collecting tensorflow-intel==2.16.1 (from tensorflow->keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow_intel-2.16.1-cp39-cp39-win_amd64.whl.metadata (5.0 kB)
Collecting protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3 (from tensorflow-intel==2.16.1->tensorflow->keras-core->keras-nlp>=0.8.0->autokeras)
Using cached protobuf-4.25.3-cp39-cp39-win_amd64.whl.metadata (541 bytes)
Collecting tensorboard<2.17,>=2.16 (from tensorflow-intel==2.16.1->tensorflow->keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorboard-2.16.2-py3-none-any.whl.metadata (1.6 kB)
Requirement already satisfied: markdown>=2.6.8 in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from tensorboard<2.17,>=2.16->tensorflow-intel==2.16.1->tensorflow->keras-core->keras-nlp>=0.8.0->autokeras) (3.6)
Collecting tensorboard-data-server<0.8.0,>=0.7.0 (from tensorboard<2.17,>=2.16->tensorflow-intel==2.16.1->tensorflow->keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorboard_data_server-0.7.2-py3-none-any.whl.metadata (1.1 kB)
Requirement already satisfied: werkzeug>=1.0.1 in c:\users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages (from tensorboard<2.17,>=2.16->tensorflow-intel==2.16.1->tensorflow->keras-core->keras-nlp>=0.8.0->autokeras) (3.0.2)
Collecting tensorboard<2.17,>=2.16 (from tensorflow-intel==2.16.1->tensorflow->keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorboard-2.16.1-py3-none-any.whl.metadata (1.6 kB)
Collecting tf-keras>=2.15.0 (from tensorboard<2.17,>=2.16->tensorflow-intel==2.16.1->tensorflow->keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tf_keras-2.16.0-py3-none-any.whl.metadata (1.6 kB)
Collecting tensorboard<2.17,>=2.16 (from tensorflow-intel==2.16.1->tensorflow->keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorboard-2.16.0-py3-none-any.whl.metadata (1.6 kB)
Collecting tf-keras-nightly (from tensorboard<2.17,>=2.16->tensorflow-intel==2.16.1->tensorflow->keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tf_keras_nightly-2.17.0.dev2024042109-py3-none-any.whl.metadata (1.6 kB)
Collecting tensorflow (from keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow-2.15.1-cp39-cp39-win_amd64.whl.metadata (3.4 kB)
Collecting tensorflow-intel==2.15.1 (from tensorflow->keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow_intel-2.15.1-cp39-cp39-win_amd64.whl.metadata (4.9 kB)
Collecting wrapt<1.15,>=1.11.0 (from tensorflow-intel==2.15.1->tensorflow->keras-core->keras-nlp>=0.8.0->autokeras)
Using cached wrapt-1.14.1-cp39-cp39-win_amd64.whl.metadata (6.7 kB)
Collecting tensorboard<2.16,>=2.15 (from tensorflow-intel==2.15.1->tensorflow->keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorboard-2.15.2-py3-none-any.whl.metadata (1.7 kB)
Collecting tensorflow-estimator<2.16,>=2.15.0 (from tensorflow-intel==2.15.1->tensorflow->keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow_estimator-2.15.0-py2.py3-none-any.whl.metadata (1.3 kB)
INFO: pip is looking at multiple versions of tensorflow-intel to determine which version is compatible with other requirements. This could take a while.
Collecting tensorflow (from keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow-2.15.0-cp39-cp39-win_amd64.whl.metadata (3.6 kB)
Collecting tensorflow-intel==2.15.0 (from tensorflow->keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow_intel-2.15.0-cp39-cp39-win_amd64.whl.metadata (5.1 kB)
Collecting tensorflow (from keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow-2.14.1-cp39-cp39-win_amd64.whl.metadata (3.3 kB)
Collecting tensorflow-intel==2.14.1 (from tensorflow->keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow_intel-2.14.1-cp39-cp39-win_amd64.whl.metadata (4.8 kB)
Collecting tensorboard<2.15,>=2.14 (from tensorflow-intel==2.14.1->tensorflow->keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorboard-2.14.1-py3-none-any.whl.metadata (1.7 kB)
Collecting tensorflow-estimator<2.15,>=2.14.0 (from tensorflow-intel==2.14.1->tensorflow->keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow_estimator-2.14.0-py2.py3-none-any.whl.metadata (1.3 kB)
Collecting tensorflow (from keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow-2.14.0-cp39-cp39-win_amd64.whl.metadata (3.3 kB)
Collecting tensorflow-intel==2.14.0 (from tensorflow->keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow_intel-2.14.0-cp39-cp39-win_amd64.whl.metadata (4.8 kB)
Collecting tensorflow (from keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow-2.13.1-cp39-cp39-win_amd64.whl.metadata (2.6 kB)
Collecting tensorflow-intel==2.13.1 (from tensorflow->keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow_intel-2.13.1-cp39-cp39-win_amd64.whl.metadata (4.1 kB)
Collecting numpy (from keras>=3.0.0->autokeras)
Using cached numpy-1.24.3-cp39-cp39-win_amd64.whl.metadata (5.6 kB)
Collecting typing-extensions>=4.0.0 (from optree->keras>=3.0.0->autokeras)
Using cached typing_extensions-4.5.0-py3-none-any.whl.metadata (8.5 kB)
Collecting tensorboard<2.14,>=2.13 (from tensorflow-intel==2.13.1->tensorflow->keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorboard-2.13.0-py3-none-any.whl.metadata (1.8 kB)
Collecting tensorflow-estimator<2.14,>=2.13.0 (from tensorflow-intel==2.13.1->tensorflow->keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow_estimator-2.13.0-py2.py3-none-any.whl.metadata (1.3 kB)
Collecting tensorflow (from keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow-2.13.0-cp39-cp39-win_amd64.whl.metadata (2.6 kB)
Collecting tensorflow-intel==2.13.0 (from tensorflow->keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow_intel-2.13.0-cp39-cp39-win_amd64.whl.metadata (4.1 kB)
Collecting tensorflow (from keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow-2.12.1-cp39-cp39-win_amd64.whl.metadata (2.5 kB)
Collecting tensorflow-intel==2.12.1 (from tensorflow->keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow_intel-2.12.1-cp39-cp39-win_amd64.whl.metadata (4.1 kB)
Collecting jax>=0.3.15 (from tensorflow-intel==2.12.1->tensorflow->keras-core->keras-nlp>=0.8.0->autokeras)
Using cached jax-0.4.26-py3-none-any.whl.metadata (23 kB)
Collecting tensorboard<2.13,>=2.12 (from tensorflow-intel==2.12.1->tensorflow->keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorboard-2.12.3-py3-none-any.whl.metadata (1.8 kB)
Collecting tensorflow-estimator<2.13,>=2.12.0 (from tensorflow-intel==2.12.1->tensorflow->keras-core->keras-nlp>=0.8.0->autokeras)
Using cached tensorflow_estimator-2.12.0-py2.py3-none-any.whl.metadata (1.3 kB)
INFO: pip is still looking at multiple versions of tensorflow-intel to determine which version is compatible with other requirements. This could take a while.
INFO: This is taking longer than usual. You might need to provide the dependency resolver with stricter constraints to reduce runtime. See https://pip.pypa.io/warnings/backtracking for guidance. If you want to abort this run, press Ctrl + C.
Collecting keras-core (from keras-nlp>=0.8.0->autokeras)
Using cached keras_core-0.0.0-py3-none-any.whl.metadata (153 bytes)
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Collecting cached-property (from h5py->keras>=3.0.0->autokeras)
Using cached cached_property-1.5.2-py2.py3-none-any.whl.metadata (11 kB)
Collecting h5py (from keras>=3.0.0->autokeras)
Using cached h5py-2.10.0.tar.gz (301 kB)
Preparing metadata (setup.py): started
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Collecting Cython>=0.17 (from h5py->keras>=3.0.0->autokeras)
Using cached Cython-3.0.10-cp39-cp39-win_amd64.whl.metadata (3.2 kB)
Collecting h5py (from keras>=3.0.0->autokeras)
Using cached h5py-2.4.0.tar.gz (172 kB)
Preparing metadata (setup.py): started
Preparing metadata (setup.py): finished with status 'error'
Note: you may need to restart the kernel to use updated packages.
error: subprocess-exited-with-error
python setup.py egg_info did not run successfully.
exit code: 1
[6 lines of output]
Traceback (most recent call last):
File "<string>", line 2, in <module>
File "<pip-setuptools-caller>", line 34, in <module>
File "C:\Users\xyz\AppData\Local\Temp\pip-install-llcqb_7t\h5py_bb8445dbae6d4ff1a100a226057a64ed\setup.py", line 24, in <module>
from distutils.command.build_py \
ImportError: cannot import name 'build_py_2to3' from 'distutils.command.build_py' (C:\Users\xyz\anaconda3\envs\tensorflow-gpu\lib\site-packages\setuptools\_distutils\command\build_py.py)
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed
Encountered error while generating package metadata.
See above for output.
note: This is an issue with the package mentioned above, not pip.
hint: See above for details.
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