RETRACE tensorflow runtime_error ai_generated true

WARNING:tensorflow:5 out of the last 5 calls to <function train_step> triggered tf.function retracing

ID: tensorflow/graph-mode-retracing-warning

Also available as: JSON · Markdown · 中文
80%Fix Rate
87%Confidence
1Evidence
2023-11-20First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
tensorflow 2.11.0 active — — —
tensorflow 2.12.0 active — — —
tensorflow 2.13.0 active — — —

Root Cause

The tf.function is being retraced repeatedly because the input tensor shapes or dtypes change between calls, which degrades performance.

generic

中文

tf.function 被反复重追踪，因为输入张量的形状或数据类型在调用之间发生变化，导致性能下降。

Official Documentation

https://www.tensorflow.org/guide/function

Workarounds

  1. 85% success Ensure all input tensors have consistent shapes and dtypes across batches. Pad variable-length inputs to a fixed shape using `tf.keras.preprocessing.sequence.pad_sequences`. 
    Ensure all input tensors have consistent shapes and dtypes across batches. Pad variable-length inputs to a fixed shape using `tf.keras.preprocessing.sequence.pad_sequences`.

中文步骤

  1. Ensure all input tensors have consistent shapes and dtypes across batches. Pad variable-length inputs to a fixed shape using `tf.keras.preprocessing.sequence.pad_sequences`.

Dead Ends

Common approaches that don't work:

  1. 90% fail

    This loses the performance benefits of graph execution and may cause other errors.

  2. 85% fail

    This can mask the issue but may lead to incorrect gradients or memory errors.