Tensorflow steps on the pit notes and records various errors and solutions

I don't know if it's an illusion, tensorflow is easier to report errors than pytorch, so record the pit you stepped on.
Update from time to time.

0 When an error occurs, first replace the Jupyter notebook code with a .py file and run it directly

When there is an inexplicable error, if you are currently using Jupyter notebook, first replace it with a .py file and run it directly.
Especially the gpu version of tensorflow is prone to problems under Jupyter.

1 Loaded runtime CuDNN library: 7.4.1 but source was compiled with: 7.6.0

Initial environment: tensorflow2.0 (gpu), CUDA 10.0, Cudnn 7.4.1, Windows 10

Error training convolutional neural network (when using Conv2d class):

Loaded runtime CuDNN library: 7.4.1 but source was compiled with: 7.6.0.

However, the environmental requirements of official website of tensorflow2.0 (gpu) write CUDA 10.0, Cudnn 7.4, the misleading effect is obvious.
The error report directly prompts the solution, just upgrade Cudnn to 7.6.0, the upgrade method is the same as the installation method of Cudnn, go to Official websiteDownload the corresponding Cudnn version and overwrite the source file.Also refer to the references below.

References:
Version mismatch||Loaded runtime CuDNN library: 7.4.2 but source was compiledwith: 7.6.0. CuDNN library major

2 Custom models cannot be saved

Environment: tensorflow2.0 (gpu), CUDA 10.0, Cudnn 7.6.0, Windows 10

Using tf.keras.models.save_model(model, 'path') to save model error:

ValueError: Model cannot be saved because the input shapes have not been set. Usually, input shapes are automatically determined from calling .fit() or .predict(). To manually set the shapes, call model._set_inputs(inputs).

References:
1.stackoverflow
2.Github: Model cannot be saved because the input shapes havenot been set. #39906

My solution:
After model initialization, after specifying input_shape in build(), write model.compute_output_shape(input_shape=(None, 32, 32, 3))That's it.

Ready to save: