Tensorflow 2.3 doesn't recognize GeForce MX130 GPU

[elishafer]

System information

• OS Platform and Distribution: Linux Ubuntu 18.04.4
• TensorFlow installed from: binary as per instructions on tf website
• TensorFlow version: 2.3
• Python version: 3.6
• Installed using : pip
• CUDA/cuDNN version: CUDA 10.1, cuDNN 7
• GPU model and memory: GeForce MX130, 2GB

Problem Description:
Tensorflow 2.3 doesn't recognize my GPU.

Provide the exact sequence of commands / steps that you executed before running into the problem
After installation I run the following:

python3 -c "import tensorflow as tf;print(tf.reduce_sum(tf.random.normal([1000, 1000])))"

I get this error message:

tensorflow.python.framework.errors_impl.InternalError: CUDA runtime implicit initialization on GPU:0 failed. Status: device kernel image is invalid

On Tensorflow 2.2, I don't get the error.

[sedol1339]

Tensorflow 2.3 also does not work with TPU: #41542

[ravikyram]

@elishafer

Can you please check if tensorflow sees your GPU by running below code.

pip install tensorflow-gpu
print("Num GPUs Available: ", len(tf.config.experimental.list_physical_devices('GPU')))

Thanks!

[shaprann]

I get the same error on GeForce 840M, compute capability 5.0
Downgrading to TF 2.2 solves it, but it would be nice to understand why 2.3 fails though