解决tensorflow中使用SincNet报错问题

报错信息

File ~/apps/miniconda3/envs/oscar_py39_tf28/lib/python3.9/site-packages/keras/utils/traceback_utils.py:67, in filter_traceback.<locals>.error_handler(*args, **kwargs)
     65 except Exception as e:  # pylint: disable=broad-except
     66   filtered_tb = _process_traceback_frames(e.__traceback__)
---> 67   raise e.with_traceback(filtered_tb) from None
     68 finally:
     69   del filtered_tb

File ~/apps/miniconda3/envs/oscar_py39_tf28/lib/python3.9/site-packages/tensorflow/python/framework/func_graph.py:1147, in func_graph_from_py_func.<locals>.autograph_handler(*args, **kwargs)
   1145 except Exception as e:  # pylint:disable=broad-except
   1146   if hasattr(e, "ag_error_metadata"):
-> 1147     raise e.ag_error_metadata.to_exception(e)
   1148   else:
   1149     raise

ValueError: in user code:


    ValueError: A tf.Variable created inside your tf.function has been garbage-collected. Your code needs to keep Python references to variables created inside `tf.function`s.
    
    A common way to raise this error is to create and return a variable only referenced inside your function:
    
    @tf.function
    def f():
      v = tf.Variable(1.0)
      return v
    
    v = f()  # Crashes with this error message!
    
    The reason this crashes is that @tf.function annotated function returns a **`tf.Tensor`** with the **value** of the variable when the function is called rather than the variable instance itself. As such there is no code holding a reference to the `v` created inside the function and Python garbage collects it.
    
    The simplest way to fix this issue is to create variables outside the function and capture them:
    
    v = tf.Variable(1.0)
    
    @tf.function
    def f():
      return v
    
    f()  # <tf.Tensor: numpy=1.>
    v.assign_add(1.)
    f()  # <tf.Tensor: numpy=2.>

　　

解决办法参考

https://stackoverflow.com/questions/66100195/a-tf-variable-created-inside-my-tf-function-has-been-garbage-collected/72285425#72285425

把导包路径换一下，就解决了我的问题

我原来的导包路径
from keras.layers import Layer, InputSpec
改成
from tensorflow.python.keras.engine.base_layer import Layer, InputSpec