Get magnitude of gradients from keras Model

gradients.py

# model is a keras Model
weights = model.weights # weight tensors
gradients = model.optimizer.get_gradients(model.total_loss, weights) # gradient tensors

import keras.backend as K
input_tensors = [model.inputs[0], # input data
                 model.sample_weights[0], # sample weights
                 model.targets[0], # labels
                 K.learning_phase(), # train or test mode
]
get_gradients = K.function(inputs=input_tensors, outputs=gradients)

inputs = [X_1, # X input data
          [1], # sample weights
          [[1]], # y labels
          0 # learning phase in TEST mode
]

print [a for a in zip(weights, get_gradients(inputs))]

What if I want to get the weights for all the points in training_data?
Should I pass my training data vector and label in inputs? What will be sample weights?