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asdfjkl / neural_network_chess

Free Book about Deep-Learning approaches for Chess (like AlphaZero, Leela Chess Zero and Stockfish NNUE)
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Invalid Reduction Key auto. #4

Closed barvinog closed 2 years ago

barvinog commented 2 years ago

Thank you for the source code of Chapter 5. I executed python mnx_generateTrainingData.py - OK Then python sup_network.py - OK

Then I executed python sup_eval.py and got the error :

Traceback (most recent call last): File "sup_eval.py", line 6, in model = keras.models.load_model("supervised_model.keras") File "/home/barvinog/anaconda3/lib/python3.7/site-packages/keras/engine/saving.py", line 492, in load_wrapper return load_function(*args, *kwargs) File "/home/barvinog/anaconda3/lib/python3.7/site-packages/keras/engine/saving.py", line 584, in load_model model = _deserialize_model(h5dict, custom_objects, compile) File "/home/barvinog/anaconda3/lib/python3.7/site-packages/keras/engine/saving.py", line 369, in _deserialize_model sample_weight_mode=sample_weight_mode) File "/home/barvinog/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py", line 75, in symbolic_fn_wrapper return func(args, **kwargs) File "/home/barvinog/anaconda3/lib/python3.7/site-packages/keras/engine/training.py", line 229, in compile self.total_loss = self._prepare_total_loss(masks) File "/home/barvinog/anaconda3/lib/python3.7/site-packages/keras/engine/training.py", line 692, in _prepare_total_loss y_true, y_pred, sample_weight=sample_weight) File "/home/barvinog/anaconda3/lib/python3.7/site-packages/keras/losses.py", line 73, in call losses, sample_weight, reduction=self.reduction) File "/home/barvinog/anaconda3/lib/python3.7/site-packages/keras/utils/losses_utils.py", line 156, in compute_weighted_loss Reduction.validate(reduction) File "/home/barvinog/anaconda3/lib/python3.7/site-packages/keras/utils/losses_utils.py", line 35, in validate raise ValueError('Invalid Reduction Key %s.' % key) ValueError: Invalid Reduction Key auto.

asdfjkl commented 2 years ago

very difficult to help you there, as I cannot reproduce this bug. I would guess that either your tensorflow installation is not working or a version incompatibility. To get you started; here is my setup; I am using python 3.8 with keras 2.5:

python --version -> python 3.8.10

python -c "import keras; print(keras.__version__)" -> 2.5.0

asdfjkl commented 2 years ago

(I guess this can be closed)