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@Hrovatin do you have experience with errors like this? I got similar ones for predictions yesterday and now for training. Do you think it's because we use numpy arrays as input to the fit function? o.O
WARNING:tensorflow:5 out of the last 3150 calls to <function Model.make_train_function..train_function at 0x154b9dc679d0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/tutorials/customization/performance#python_or_tensor_args and https://www.tensorflow.org/api_docs/python/tf/function for more details.
The text was updated successfully, but these errors were encountered:
@Hrovatin do you have experience with errors like this? I got similar ones for predictions yesterday and now for training. Do you think it's because we use numpy arrays as input to the fit function? o.O
WARNING:tensorflow:5 out of the last 3150 calls to <function Model.make_train_function..train_function at 0x154b9dc679d0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/tutorials/customization/performance#python_or_tensor_args and https://www.tensorflow.org/api_docs/python/tf/function for more details.
The text was updated successfully, but these errors were encountered: