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layer quant_conv2d_58 expects 2 weights, but the saved weights have 1 elements

See original GitHub issue

Describe the bug

I use Keras to save, then load weights. I got this error

ValueError: Layer #144 (named "quant_conv2d_58" in the current model) was found to correspond to layer quant_conv2d_58 in the save file. However the new layer quant_conv2d_58 expects 2 weights, but the saved weights have 1 elements.

To Reproduce

Expected behavior

Am I missing any config when load weights?

Environment

Ubuntu 18.04 Python 3.6.9 TensorFlow version: tensorflow-gpu 1.15.0 Larq version: larq 0.8.2

Issue Analytics

State:
Created 4 years ago
Comments:9 (5 by maintainers)

Top GitHub Comments

1reaction

leonoverweelcommented, Jan 16, 2020

Great! I’ll close this issue for now; if you run into any other problems, feel free to reopen.

1reaction

leonoverweelcommented, Jan 15, 2020

Sounds good, let me know if this works 👍

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