from tensorflow.keras.applications import VGG16
from tensorflow.keras import backend as K
model = VGG16(weights='imagenet',
include_top=False)
layer_name = 'block3_conv1'
filter_index = 0
layer_output = model.get_layer(layer_name).output
loss = K.mean(layer_output[:, :, :, filter_index])
grads = K.gradients(loss, model.input)[0]
我无法执行grads = K.gradients(loss, model.input)[0]，它产生一个错误：tf.gradients is not supported when eager execution is enabled. Use tf.GradientTape instead