Is there any way to set warnings or verbose in Keras?

[abhaskumarsinha]

Epoch 2/100
6/6 ━━━━━━━━━━━━━━━━━━━━ 0s 146ms/step - loss: 1.9930/usr/local/lib/python3.10/dist-packages/keras/src/ops/nn.py:545: UserWarning: You are using a softmax over axis -1 of a tensor of shape (1,). This axis has size 1. The softmax operation will always return the value 1, which is likely not what you intended. Did you mean to use a sigmoid instead?
  warnings.warn(
/usr/local/lib/python3.10/dist-packages/keras/src/ops/nn.py:545: UserWarning: You are using a softmax over axis -1 of a tensor of shape (1,). This axis has size 1. The softmax operation will always return the value 1, which is likely not what you intended. Did you mean to use a sigmoid instead?
  warnings.warn(
/usr/local/lib/python3.10/dist-packages/keras/src/ops/nn.py:545: UserWarning: You are using a softmax over axis -1 of a tensor of shape (1,). This axis has size 1. The softmax operation will always return the value 1, which is likely not what you intended. Did you mean to use a sigmoid instead?
  warnings.warn(
/usr/local/lib/python3.10/dist-packages/keras/src/ops/nn.py:545: UserWarning: You are using a softmax over axis -1 of a tensor of shape (1,). This axis has size 1. The softmax operation will always return the value 1, which is likely not what you intended. Did you mean to use a sigmoid instead?
  warnings.warn(


Total Hits (A2B): 0.1


/usr/local/lib/python3.10/dist-packages/keras/src/ops/nn.py:545: UserWarning: You are using a softmax over axis -1 of a tensor of shape (1,). This axis has size 1. The softmax operation will always return the value 1, which is likely not what you intended. Did you mean to use a sigmoid instead?
  warnings.warn(
/usr/local/lib/python3.10/dist-packages/keras/src/ops/nn.py:545: UserWarning: You are using a softmax over axis -1 of a tensor of shape (1,). This axis has size 1. The softmax operation will always return the value 1, which is likely not what you intended. Did you mean to use a sigmoid instead?
  warnings.warn(

Is there any way to stop these warning messages appear? In TF it used to have verbose settings. I don't know how it is done with Keras.

[newresu]

[abhaskumarsinha]

Used keras.utils.disable_interactive_logging()

Didn't work...

/usr/local/lib/python3.10/dist-packages/keras/src/ops/nn.py:545: UserWarning: You are using a softmax over axis -1 of a tensor of shape (1,). This axis has size 1. The softmax operation will always return the value 1, which is likely not what you intended. Did you mean to use a sigmoid instead?
  warnings.warn(


Total Hits (A2B): 0.0


/usr/local/lib/python3.10/dist-packages/keras/src/ops/nn.py:545: UserWarning: You are using a softmax over axis -1 of a tensor of shape (1,). This axis has size 1. The softmax operation will always return the value 1, which is likely not what you intended. Did you mean to use a sigmoid instead?
  warnings.warn(
/usr/local/lib/python3.10/dist-packages/keras/src/ops/nn.py:545: UserWarning: You are using a softmax over axis -1 of a tensor of shape (1,). This axis has size 1. The softmax operation will always return the value 1, which is likely not what you intended. Did you mean to use a sigmoid instead?
  warnings.warn(
/usr/local/lib/python3.10/dist-packages/keras/src/ops/nn.py:545: UserWarning: You are using a softmax over axis -1 of a tensor of shape (1,). This axis has size 1. The softmax operation will always return the value 1, which is likely not what you intended. Did you mean to use a sigmoid instead?
  warnings.warn(
/usr/local/lib/python3.10/dist-packages/keras/src/ops/nn.py:545: UserWarning: You are using a softmax over axis -1 of a tensor of shape (1,). This axis has size 1. The softmax operation will always return the value 1, which is likely not what you intended. Did you mean to use a sigmoid instead?
  warnings.warn(


Total Hits (B2C): 0.0




Total Hits (A2C): 0.0


/usr/local/lib/python3.10/dist-packages/keras/src/ops/nn.py:545: UserWarning: You are using a softmax over axis -1 of a tensor of shape (1,). This axis has size 1. The softmax operation will always return the value 1, which is likely not what you intended. Did you mean to use a sigmoid instead?
  warnings.warn(
/usr/local/lib/python3.10/dist-packages/keras/src/ops/nn.py:545: UserWarning: You are using a softmax over axis -1 of a tensor of shape (1,). This axis has size 1. The softmax operation will always return the value 1, which is likely not what you intended. Did you mean to use a sigmoid instead?
  warnings.warn(

progress bar went invisible, model.summary() doesn't appears now.

[newresu]

can you provide a gist please?

[abhaskumarsinha]

Rerun this notebook: https://github.com/abhaskumarsinha/Corpus2GPT/blob/main/guides/LinePairDatasetExample.ipynb Its a small testing thing. The errors show up while training.

[newresu]

That comes from the python warnings module. It can be filtered:

import warnings
warnings.filterwarnings("ignore")
history = GPT.fit(...)

that ignores all;

For customising it take a look here. or just in the docs.

[abhaskumarsinha]

Yes, I know that, but it'd make the code look more ugly. I don't see any elegant alternative than tf.config or something that elegantly puts all warnings at halt..