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
datagen.fit(X_train(
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])
内部错误： Blas GEMM 发射失败： a.shape=(86， 3136(， b.shape=(3136， 256(， m=86， n=256， k=3136 [[node dense_1/MatMul (define at c：\users\shahj\appdata\local\programs\python\python35\lib\site-packages\tensorflow_core\python\framework\ops.py:1751( ]][操作：__inference_keras_scratch_graph_1528]
函数调用堆栈：
keras_scratch_graph
试试这对我有用
库达版本 --> '10.0' 库德恩版本 --> '7.6.4'
TensorFlow GPU 版本 --> '2.0.0'Keras GPU 版本 --> '2.2.4'