[_Derived_]RecvAsync已取消

Question

我已经有了这个错误，我已经做了几次更改，epochs = 100，50，我已经更改了batch_size，我已经更改了TensorFlow版本。但是我仍然不能解决这个问题。我用的是谷歌colab。

有人能帮我吗？

model1 = Sequential()
model1.add(LSTM(units = 15, return_sequences = True, input_shape=(2167290, 15)))
model1.add(Dropout(0.3))

model1.add(LSTM(units = 150, return_sequences = True))
model1.add(Dropout(0.3))

model1.add(LSTM(units = 100, return_sequences = True))
model1.add(Dropout(0.3))

model1.add(LSTM(units = 50, return_sequences = True))
model1.add(Dropout(0.3))

# Camada Final
model1.add(Dense(1, activation='sigmoid'))

# Compile model
model1.compile(optimizer = 'Adam', loss = 'mean_squared_error',
                  metrics=['accuracy', 'AUC', 'Recall', 'Precision'])
# Fit the model
model1.fit(x_train,y_train, epochs=20, batch_size=32, validation_data=(x_test, y_test))

它正在生成这个错误。

Epoch 1/20
---------------------------------------------------------------------------
CancelledError                            Traceback (most recent call last)
<ipython-input-17-c4f437a21b09> in <module>()
     19                   metrics=['accuracy', 'AUC', 'Recall', 'Precision'])
     20 # Fit the model
---> 21 model1.fit(x_train,y_train, epochs=20, batch_size=32, validation_data=(x_test, y_test))

8 frames
/usr/local/lib/python3.6/dist-packages/tensorflow/python/eager/execute.py in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name)
     58     ctx.ensure_initialized()
     59     tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
---> 60                                         inputs, attrs, num_outputs)
     61   except core._NotOkStatusException as e:
     62     if name is not None:

CancelledError:  [_Derived_]RecvAsync is cancelled.
     [[{{node ConstantFolding/assert_greater_equal_2/Assert/AssertGuard/switch_pred/_58_const_false/_113}}]] [Op:__inference_train_function_11454]

Function call stack:
train_function

Answer 1

我得到了同样的错误，我将LSTM层的数量从75层减少到10层，它起作用了。