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micha@p1gen6 MINGW64 /c/wse_github/ObrienlabsDev/machine-learning/environments/windows/src (main)
$ python tflow.py
2024-11-18 18:36:28.391368: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-11-18 18:36:30.382646: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-11-18 18:36:33.253712: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
Downloading data from https://www.cs.toronto.edu/~kriz/cifar-100-python.tar.gz
Traceback (most recent call last):
File "C:\wse_github\ObrienlabsDev\machine-learning\environments\windows\src\tflow.py", line 55, in <module>
(x_train, y_train), (x_test, y_test) = cifar.load_data()
^^^^^^^^^^^^^^^^^
File "C:\wse_github\ObrienlabsDev\machine-learning\environments\windows\src\venv-metal\Lib\site-packages\keras\src\datasets\cifar100.py", line 63, in load_data
path = get_file(
^^^^^^^^^
File "C:\wse_github\ObrienlabsDev\machine-learning\environments\windows\src\venv-metal\Lib\site-packages\keras\src\utils\file_utils.py", line 309, in get_file
urlretrieve(origin, download_target, DLProgbar())
File "C:\opt\python312\Lib\urllib\request.py", line 266, in urlretrieve
reporthook(blocknum, bs, size)
File "C:\wse_github\ObrienlabsDev\machine-learning\environments\windows\src\venv-metal\Lib\site-packages\keras\src\utils\file_utils.py", line 301, in __call__
self.progbar.update(current)
File "C:\wse_github\ObrienlabsDev\machine-learning\environments\windows\src\venv-metal\Lib\site-packages\keras\src\utils\progbar.py", line 182, in update
io_utils.print_msg(message, line_break=False)
File "C:\wse_github\ObrienlabsDev\machine-learning\environments\windows\src\venv-metal\Lib\site-packages\keras\src\utils\io_utils.py", line 98, in print_msg
sys.stdout.write(message)
File "C:\opt\python312\Lib\encodings\cp1252.py", line 19, in encode
return codecs.charmap_encode(input,self.errors,encoding_table)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
UnicodeEncodeError: 'charmap' codec can't encode characters in position 35-54: character maps to <undefined>
(venv-metal)
obriensystems
changed the title
tensorflow 2.18 issue on windows 11
tensorflow 2.16 to 2.18 issue on windows 11 running python 3.11 - use 2.15 on 3.9.6
Nov 18, 2024
see
keras-team/keras#19386
trying
$ python -m pip install tensorflow==2.16.0rc0
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