TypeError Traceback(最后一次调用) 在
/usr/local/lib/python3.10/dist-packages/keras/utils/traceback_utils.py in error_handler(*args, **kwargs) 68 # 要获取完整的堆栈跟踪,请调用: 69#
tf.debugging.disable_traceback_filtering()
---> 70 从 None 提高 e.with_traceback(filtered_tb)
71 最后:
72 删除 filtered_tb
/usr/local/lib/python3.10/dist-packages/keras/engine/training.py 中的 tf__train_function(迭代器) 13 尝试: 14 do_return = 真 ---> 15 retval_ = ag__.converted_call(ag__.ld(step_function), (ag__.ld(self), ag__.ld(iterator)), 无, fscope) 16 除了: 17 do_return = 假
TypeError:在用户代码中:
File "/usr/local/lib/python3.10/dist-packages/keras/engine/training.py", line 1284, in train_function *
return step_function(self, iterator)
File "/usr/local/lib/python3.10/dist-packages/keras/engine/training.py", line 1268, in step_function **
outputs = model.distribute_strategy.run(run_step, args=(data,))
File "/usr/local/lib/python3.10/dist-packages/keras/engine/training.py", line 1249, in run_step **
outputs = model.train_step(data)
File "/usr/local/lib/python3.10/dist-packages/keras/engine/training.py", line 1051, in train_step
loss = self.compute_loss(x, y, y_pred, sample_weight)
File "/usr/local/lib/python3.10/dist-packages/keras/engine/training.py", line 1109, in compute_loss
return self.compiled_loss(
File "/usr/local/lib/python3.10/dist-packages/keras/engine/compile_utils.py", line 265, in __call__
loss_value = loss_obj(y_t, y_p, sample_weight=sw)
File "/usr/local/lib/python3.10/dist-packages/keras/losses.py", line 142, in __call__
losses = call_fn(y_true, y_pred)
File "/usr/local/lib/python3.10/dist-packages/keras/losses.py", line 268, in call **
return ag_fn(y_true, y_pred, **self._fn_kwargs)
File "/usr/local/lib/python3.10/dist-packages/keras/losses.py", line 2146, in binary_crossentropy
label_smoothing = tf.convert_to_tensor(label_smoothing, dtype=y_pred.dtype)
TypeError: Expected int64, but got 0.0 of type 'float'.
帮我解决这个错误
我正在应用 ANN 算法但得到了这个错误