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I’m getting the same error over and over. Already reinstall everything I can without reinstalling the whole system. I using Arch linux 6.11.3-zen1-1-zen.

Code that caused issues:

import tensorflow as tf
print("TensorFlow version:", tf.__version__)


model = tf.keras.models.Sequential([
  tf.keras.layers.Flatten(input_shape=(28, 28)),
  tf.keras.layers.Dense(128, activation='relu'),
  tf.keras.layers.Dropout(0.2),
  tf.keras.layers.Dense(10)
  ])

The output I’ve got:

2024-10-26 20:42:32.074412: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1729939352.092357  549121 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1729939352.097615  549121 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
TensorFlow version: 2.18.0
/usr/lib/python3.12/site-packages/keras/src/layers/reshaping/flatten.py:37: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.
  super().__init__(**kwargs)
I0000 00:00:1729939354.240878  549121 gpu_device.cc:2022] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 2608 MB memory:  -> device: 0, name: NVIDIA GeForce GTX 1650, pci bus id: 0000:01:00.0, compute capability: 7.5
/usr/include/c++/14.1.1/bits/stl_vector.h:1130: constexpr std::vector<_Tp, _Alloc>::reference std::vector<_Tp, _Alloc>::operator[](size_type) [with _Tp = pybind11::object; _Alloc = std::allocator<pybind11::object>; reference = pybind11::object&; size_type = long unsigned int]: Assertion '__n < this->size()' failed.
fish: Job 1, 'python main.py' terminated by signal SIGABRT (Abort)

This C++ error is the main reason why everything does not work, I assume.

Using python-tensorflow-opt-cuda package. The interesting thing is that if I install tensorflow in python venv with pip it work! But tested pip version is 2.17. Also docker version doesn’t work with the same error.

2

Found the problem.

It was outdated python-optree package. Updating it to 0.13.0 solved the issue.

See what the problem was on SO: python - Tensorflow errors: cuFFT, cuDNN, cuBLAS and "Assertion '__n < this->size()' failed" - Stack Overflow