WARNING:tensorflow:sample_weight modes were coerced from ... to ['...']

model.fit keras
tensorflow metrics
model.build tensorflow
model.compile tensorflow
sample_weight_mode
tensorflow predict generator
tf predict
tf-fit

Training an image classifier using .fit_generator() or .fit() and passing a dictionary to class_weight= as an argument.

I never got errors in TF1.x but in 2.1 I get the following output when starting training:

WARNING:tensorflow:sample_weight modes were coerced from
  ...
    to  
  ['...']

What does it mean to coerce something from ... to ['...']?

The source for this warning on tensorflow's repo is here, comments placed are:

Attempt to coerce sample_weight_modes to the target structure. This implicitly depends on the fact that Model flattens outputs for its internal representation.


This seems like a bogus message. I get the same warning message after upgrading to TensorFlow 2.1, but I do not use any class weights or sample weights at all. I do use a generator that returns a tuple like this:

return inputs, targets

And now I just changed it to the following to make the warning go away:

return inputs, targets, [None]

I don't know if this is relevant, but my model uses 3 inputs, so my inputs variable is actually a list of 3 numpy arrays. targets is just a single numpy array.

In any case, it's just a warning. The training works fine either way.

Edit for TensorFlow 2.2:

This bug seems to have been fixed in TensorFlow 2.2, which is great. However the fix above will fail in TF 2.2, because it will try to get the shape of the sample weights, which will obviously fail with AttributeError: 'NoneType' object has no attribute 'shape'. So undo the above fix when upgrading to 2.2.

"WARNING:tensorflow:sample_weight " when training a `keras , WARNING:tensorflow:sample_weight modes were coerced from to [''] Even when not using sample_weight . Describe the expected behavior. Training an image classifier using .fit_generator() or .fit() and passing a dictionary to class_weight= as an argument.. I never got errors in TF1.x but in 2.0 I get the following output when starting training:


Training & evaluation with the built-in methods, WARNING:tensorflow:sample_weight modes were coerced from to [''], Programmer Sought, the best programmer technical posts sharing site. Attempt to coerce sample_weight_modes to the target structure. This implicitly depends on the fact that Model flattens outputs for its internal representation. keras python tensorflow tensorflow2.0


I have taken your Gist and installed Tensorflow 2.0, instead of TFA and it worked without any such Warning.

Here is the Gist of the complete code. Code for installing the Tensorflow is shown below:

!pip install tensorflow==2.0

Screenshot of the successful execution is shown below:

Update: This bug is fixed in Tensorflow Version 2.2.

[PDF] CS4619: Artificial Intelligence II Recurrent Neural Network Example , I never got errors in TF1.x but in 2.0 I get the following output when starting training: WARNING:tensorflow:sample_weight modes were coerced� "WARNING:tensorflow:sample_weight " when training a `keras.Model` with a `Sequence` object #37500 kieranricardo opened this issue Mar 11, 2020 · 4 comments


instead of providing a dictionary

weights = {'0': 42.0, '1': 1.0}

i tried a list

weights = [42.0, 1.0]

and the warning disappeared.

Python StackOverflow on Twitter: "WARNING:tensorflow , WARNING:tensorflow:sample_weight modes were coerced from to. [''] Out[32 ]: [0.47765312, 0.41509065, 0.417523]. Page 9. In [� In the plots above, the training accuracy is increasing linearly over time, whereas validation accuracy stalls around 70% in the training process. Also, the difference in accuracy between training and validation accuracy is noticeable—a sign of overfitting. When there are a small number of


#4 - Distributed Crunching - satnogs-wut, batch_size=NUM, epochs=1, shuffle=False, verbose=0) 出现提示: WARNING: tensorflow:sample_weight modes were coerced from … to ['… This notebook is open with private outputs. Outputs will not be saved. You can disable this in Notebook settings


python - 警告:tensorflow:sample_weight模式从…强制为, Copy link to Tweet; Embed Tweet. WARNING:tensorflow:sample_weight modes were coerced from to [''] [Score:14]http://bit.ly/2PT5DkT� Hey, same issue here on Windows machine. Seems to be related to multiple model fits over generators, it clearly seems like a memory leak from tensorflow side, deleting all variables and calling garbage collector won't fix the issue.


WARNING:tensorflow:ModelCheckpoint callback is not provided. Workers will need to WARNING:tensorflow:sample_weight modes were coerced from to ['. Hi @user2020 thanks for trying out stellargraph!. My understanding is that I do not need steps 11, 12, 13 and 14 in order to generate node embeddings. Am I correct? I’m guessing you might be referring to the Jupyter notebook execution numbers to the left of each cell containing code?