为什么ImageDataGenerator mdoel.fit_生成器显示错误函数调用堆栈：keras_scratch_图形？

数据发生器安装（X_系列）

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内部错误：Blas-GEMM启动失败：a.shape=（863136），b.shape=（3136256），m=86，n=256，k=3136 [[node densite_1/MatMul（定义于c:\users\shahj\appdata\local\programs\python35\lib\site packages\tensorflow\u core\python\framework\ops.py:1751）][Op:[u推理\u keras\u scratch\u图形\u 1528]

函数调用堆栈：
keras_scratch_图

cuda版本-->'10.0'cudnn版本-->'7.6.4'

tensorflow gpu版本-->“2.0.0”keras gpu版本-->“2.2.4”

datagen = ImageDataGenerator(
    featurewise_center=False,  # set input mean to 0 over the dataset
    samplewise_center=False,  # set each sample mean to 0
    featurewise_std_normalization=False,  # divide inputs by std of the dataset
    samplewise_std_normalization=False,  # divide each input by its std
    zca_whitening=False,  # apply ZCA whitening
    rotation_range=10,  # randomly rotate images in the range (degrees, 0 to 180)
    zoom_range = 0.1, # Randomly zoom image 
    width_shift_range=0.1,  # randomly shift images horizontally (fraction of total width)
    height_shift_range=0.1,  # randomly shift images vertically (fraction of total height)
    horizontal_flip=False,  # randomly flip images
    vertical_flip=False)  # randomly flip images

history = model.fit_generator(datagen.flow(X_train,Y_train,batch_size=batch_size,),
                         epochs=epochs,validation_data=(X_val,Y_val),
                         verbose=2,steps_per_epoch=X_train.shape[0] // batch_size,                             
                        callbacks= [learning_rate_reduction])