Python 警告：tensorflow:模型是用形状（无，57）构造的，但在输入时调用了不兼容的形状（无，0）

在这里，我创建了LTSM模型

model = Sequential()
model.add(Embedding(1000, 128,input_length = x.shape[1]))
model.add(SpatialDropout1D(0.4))
model.add(LSTM(100, dropout=0.2, recurrent_dropout=0.2))
model.add(Dense(2,activation='softmax'))
model.compile(loss = 'categorical_crossentropy', optimizer='adam',metrics = ['accuracy'])
print(model.summary())

及

我认为这行有一些错误：

classifier=model.fit(X_train, Y_train, epochs = 1, batch_size=128,validation_split=0.1, verbose = 1,callbacks=callbacks)

ValueError:在用户代码中：/usr/local/lib/python3.7/dist包/tensorflow/python/keras/engine/training.py:805 train_函数*return step_函数（self，iterator）/usr/local/lib/python3.7/dist包/tensorflow/python/keras/engine/training.py:795 step_函数**输出=模型。分配策略。运行（run_step，args=（数据，）/usr/local/lib/python3.7/dist-packages/tensorflow/python/distribute/distribute_-lib.py:1259运行返回自。扩展。为每个副本调用（fn，args=args，kwargs=kwargs）/usr/local/lib/python3.7/dist-packages/tensorflow/python/distribute/distribute_-lib.py:2730为每个副本调用（fn，args，kwargs）/usr/local/lib/python3.7/dist-packages/tensorflow/python/distribute/distribute/distribute\u-lib.py:3417_-call\u每个副本返回fn（*args，**kwargs）/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/training.py:788运行步骤**输出=模型训练步骤（数据）/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/training.py:754 train\u step y\u pred=self（x，training=True）/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base\u layer.py:1012call输出=调用fn（输入，*args，**kwargs）/usr/local/lib/python3.7/dist包/tensorflow/python/keras/engine/sequential.py:375调用返回super（sequential，self）。调用（输入，训练=训练，掩码=掩码）/usr/local/lib/python3.7/dist包/tensorflow/python/keras/engine/functional.py:425调用输入，训练=训练，掩码=掩码）/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/functional.py:560运行内部图形输出=节点层（*args，**kwargs）/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/layers/recurrent.py:660调用返回超级（RNN，self）。调用（输入，**kwargs）/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py:1012calloutputs=call_fn（inputs，*args，**kwargs）/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/layers/recurrentive_v2.py:1185为_-mask调用零输出/usr/local/lib/python3.7/dist-packages/tensorflow/python/util/dispatch.py:201包装器返回目标（*args，**kwargs）/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/backend.py:4345 rnn[inp[0]用于扁平化输入中的inp]）/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/backend.py:4345[inp[0]用于扁平化输入中的inp]）/usr/local/lib/python3.7/dist-packages/tensorflow/python/util/dispatch.py:201包装返回目标（*args，**kwargs）/usr/local/lib/python3.7/dist packages/tensorflow/python/ops/array_ops.py:1047 _slice_helper name=name）/usr/local/lib/python3.7/dist packages/tensorflow/python/util/dispatch.py:201包装器返回目标（*args，**kwargs）/usr/local/lib/python3.7/dist-packages/tensorflow/python/ops/array\u ops.py:1219跨步切片收缩轴掩码=收缩轴掩码）/usr/local/lib/python3.7/dist-packages/tensorflow/python/ops/gen\u-array\u ops.py:10479跨步切片收缩轴掩码=收缩轴掩码，name=name）/usr/local/lib/python3.7/dist-packages/tensorflow/tensorflow/pyt/python/framework/op_def_library.py:750_apply_op_helper attrs=attr_protos，op_def=op_def）/usr/local/lib/python3.7/dist packages/tensorflow/python/framework/func_graph.py:592_创建内部计算设备）/usr/local/lib/python3.7/dist packages/tensorflow/python/framework/ops.py:3536_创建内部op_def=op_def=op_def）/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/ops.py:2016initcontrol\u-input\u-ops，op\u-def）/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/ops.py:1856\u-create\u-c\u-opraise-ValueError（str（e））ValueError:slice-index:0维度0的切片索引越界。for'{{node sequential_9/lstm_4/stripped_slice_2}}=Straddslice[Index=DT_INT32，T=DT_FLOAT，begin_mask=0，delphissis_mask=0，end_mask=0，new_axis_mask=0，short_axis_mask=1]（sequential_9/lstm_4/转置，sequential_9/lstm_slice_4/stripped_2/堆栈，sequential_9/lstm_4/堆栈_2/stack_2）'具有输入形状：[0，，，128]，[1]，[1]，[1]和计算的输入张量：输入[1]=，输入[2]=，输入[3]=。网站：stackoverflow.com

为什么我会遇到这样的问题和错误？我浏览了其他标题，但找不到答案