kapre example for blog.py

from keras.models import Sequential
from kapre.time_frequency import Melspectrogram
from kapre.utils import Normalization2D
from kapre.augmentation import AdditiveNoise

# 6 channels (!), maybe 1-sec audio signal
input_shape = (6, 44100) 
sr = 44100
model = Sequential()
# A mel-spectrogram layer with
# no decibel conversion for some reasons and (return_decibel=False)
# amplitude, not power (power=1.0)
model.add(Melspectrogram(n_dft=512, n_hop=256, input_shape=src_shape,
                         border_mode='same', sr=sr, n_mels=128,
                         fmin=0.0, fmax=sr/2, power=1.0,
                         return_decibel=False, trainable_fb=False,
                         trainable_kernel=False
                         name='trainable_stft'))
# Maybe some additive white noise.
model.add(AdditiveNoise(power=0.2))
# If you wanna normalise it per-frequency
model.add(Normalization2D(str_axis='freq')) # or 'channel', 'time', 'batch', 'data_sample'
# After this, it's just a usual keras workflow. For example..
# Add some layers, e.g., model.add(some convolution layers..)
# Compile the model
model.compile('adam', 'categorical_crossentropy') # if single-label classification
# train it with raw audio sample inputs
x = load_x() # e.g., x.shape = (10000, 6, 44100)
y = load_y() # e.g., y.shape = (10000, 10) if it's 10-class classification
# and train it
model.fit(x, y)
# write a paper and graduate or get paid. Profit!

could you please tell me why it's that ???
/*
import h5py
import numpy as np
import os, random
from keras.layers import Input, Reshape, ZeroPadding2D, Conv2D, Dropout, Flatten, BatchNormalization, Dense, Activation,
MaxPooling2D, AlphaDropout, GlobalAveragePooling2D, multiply,CuDNNLSTM,CuDNNGRU
from keras import layers
import keras
import keras.models as Model
from keras.regularizers import *

from keras.optimizers import adam

import seaborn as sns

import tensorflow as tf
import matplotlib.pyplot as plt
from keras.layers import Activation, Add, Dense, BatchNormalization, Conv2D, LSTM, Softmax
from keras.layers import MaxPool2D, AveragePooling2D, Input, Lambda, Bidirectional, Dot, Conv1D, Permute, GRU
from keras.callbacks import TensorBoard
from keras import backend as K
from kapre.utils import Normalization2D
/*
it just can recognize kapre but can't recognize kapre.utils. i don't know what going on??? thank u !
ModuleNotFoundError: No module named 'kapre.utils'