EKLI
tensorflow
type_error
ai_generated
true
TypeError: Could not interpret layer identifier: 'relu6'. Did you mean 'relu'?
ID: tensorflow/keras-layer-call-argument-mismatch
90%Fix Rate
86%Confidence
1Evidence
2023-11-12First Seen
Version Compatibility
| Version | Status | Introduced | Deprecated | Notes |
|---|---|---|---|---|
| 2.4 | active | — | — | — |
| 2.5 | active | — | — | — |
| 2.6 | active | — | — | — |
| 2.7 | active | — | — | — |
Root Cause
The string identifier passed to a Keras layer (e.g., activation='relu6') is not a recognized activation function name; TensorFlow does not have a built-in 'relu6' activation.
generic中文
传递给 Keras 层的字符串标识符(例如 activation='relu6')不是可识别的激活函数名称;TensorFlow 没有内置的 'relu6' 激活函数。
Official Documentation
https://www.tensorflow.org/api_docs/python/tf/keras/activationsWorkarounds
-
95% success Use the correct Keras activation: change 'relu6' to 'relu' if that works, or define a custom activation function: 'def relu6(x): return tf.nn.relu6(x)' and pass it as activation=relu6.
Use the correct Keras activation: change 'relu6' to 'relu' if that works, or define a custom activation function: 'def relu6(x): return tf.nn.relu6(x)' and pass it as activation=relu6.
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80% success Import from tf.keras.activations: 'from tensorflow.keras.activations import relu6' if available, but note that relu6 is not in the public API; use tf.nn.relu6 directly in a Lambda layer.
Import from tf.keras.activations: 'from tensorflow.keras.activations import relu6' if available, but note that relu6 is not in the public API; use tf.nn.relu6 directly in a Lambda layer.
中文步骤
Use the correct Keras activation: change 'relu6' to 'relu' if that works, or define a custom activation function: 'def relu6(x): return tf.nn.relu6(x)' and pass it as activation=relu6.
Import from tf.keras.activations: 'from tensorflow.keras.activations import relu6' if available, but note that relu6 is not in the public API; use tf.nn.relu6 directly in a Lambda layer.
Dead Ends
Common approaches that don't work:
-
Use 'relu6' as a custom activation function without registering it
100% fail
Keras only recognizes registered activations; passing an unregistered string will always raise this error.
-
Spell it as 'ReLU6' with different capitalization
90% fail
Keras activation names are case-insensitive but must match exactly; 'ReLU6' is also not a built-in activation.