Comments (6)
Hi @MizWong,
I am unable to reproduce the error with my setup, and it also works fine in Colab.
It seems to be an issue with your local installation. Could you please provide more details about your system setup?
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I am also facing same issue with my setup.
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Hi @vishalgoyal316,
could you please provide more details about your system setup?
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Hallo,
I also get the same error":(AttributeError: Exception encountered when calling layer 'lmmse_equalizer' (type LMMSEEqualizer).).module 'sionna' has no attribute 'config'" when I try to execute this section:
//simulation parameters
ebno_db = 10
batch_size = 200
// and call the model
b, b_hat = model(batch_size, ebno_db)
ber = sionna.utils.metrics.compute_ber(b, b_hat)
nb_bits = np.size(b.numpy())
print("BER: {:.4} at Eb/No of {} dB and {} simulated bits".format(ber.numpy(), ebno_db, nb_bits))
I am using Anaconda as the development environment, Jupyter Notebook as the compiler, and Python 3.8 with TensorFlow 2.14 und Sionna 0.18.0 version.
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Hi @IhabAdarbeh,
It seems like there might be an issue with your local Sionna installation. Here are a few things you can try to troubleshoot:
- Could you please run other notebooks to see if the issue is specific to the Simple MIMO notebook and the lmmse_equalizer?
- Try importing Sionna in an empty notebook (or Python environment) and print the version:
import sionna as sn
print(sn.__version__)
- The tutorial notebooks are designed to automatically install Sionna if it’s not found (to ensure compatibility with Google Colab). This could potentially interfere with your Anaconda virtual environment. For more details, you can refer to issue #471.
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