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TensorFlow 애드온 콜백: TQDM 진행률 표시줄

TensorFlow.org에서 보기 Google Colab에서 실행하기 GitHub에서 소스 보기 노트북 다운로드하기

개요

이 노트북은 TensorFlow 애드온에서 TQDMCallback을 사용하는 방법을 보여줍니다.

설정

pip install -U tensorflow-addons
!pip install -q "tqdm>=4.36.1"

import tensorflow as tf
import tensorflow_addons as tfa

from tensorflow.keras.datasets import mnist
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Dropout, Flatten
import tqdm

# quietly deep-reload tqdm
import sys
from IPython.lib import deepreload 

stdout = sys.stdout
sys.stdout = open('junk','w')
deepreload.reload(tqdm)
sys.stdout = stdout

tqdm.__version__
'4.51.0'

데이터 가져오기 및 정규화

# the data, split between train and test sets
(x_train, y_train), (x_test, y_test) = mnist.load_data()
# normalize data
x_train, x_test = x_train / 255.0, x_test / 255.0

간단한 MNIST CNN 모델 빌드하기

# build the model using the Sequential API
model = Sequential()
model.add(Flatten(input_shape=(28, 28)))
model.add(Dense(128, activation='relu'))
model.add(Dropout(0.2))
model.add(Dense(10, activation='softmax'))

model.compile(optimizer='adam',
              loss = 'sparse_categorical_crossentropy',
              metrics=['accuracy'])

기본 TQDMCallback 사용법

# initialize tqdm callback with default parameters
tqdm_callback = tfa.callbacks.TQDMProgressBar()

# train the model with tqdm_callback
# make sure to set verbose = 0 to disable
# the default progress bar.
model.fit(x_train, y_train,
          batch_size=64,
          epochs=10,
          verbose=0,
          callbacks=[tqdm_callback],
          validation_data=(x_test, y_test))
HBox(children=(HTML(value='Training'), FloatProgress(value=0.0, layout=Layout(flex='2'), max=10.0), HTML(value…
Epoch 1/10

HBox(children=(HTML(value=''), FloatProgress(value=0.0, layout=Layout(flex='2'), max=938.0), HTML(value='')), …

Epoch 2/10

HBox(children=(HTML(value=''), FloatProgress(value=0.0, layout=Layout(flex='2'), max=938.0), HTML(value='')), …

Epoch 3/10

HBox(children=(HTML(value=''), FloatProgress(value=0.0, layout=Layout(flex='2'), max=938.0), HTML(value='')), …

Epoch 4/10

HBox(children=(HTML(value=''), FloatProgress(value=0.0, layout=Layout(flex='2'), max=938.0), HTML(value='')), …

Epoch 5/10

HBox(children=(HTML(value=''), FloatProgress(value=0.0, layout=Layout(flex='2'), max=938.0), HTML(value='')), …

Epoch 6/10

HBox(children=(HTML(value=''), FloatProgress(value=0.0, layout=Layout(flex='2'), max=938.0), HTML(value='')), …

Epoch 7/10

HBox(children=(HTML(value=''), FloatProgress(value=0.0, layout=Layout(flex='2'), max=938.0), HTML(value='')), …

Epoch 8/10

HBox(children=(HTML(value=''), FloatProgress(value=0.0, layout=Layout(flex='2'), max=938.0), HTML(value='')), …

Epoch 9/10

HBox(children=(HTML(value=''), FloatProgress(value=0.0, layout=Layout(flex='2'), max=938.0), HTML(value='')), …

Epoch 10/10

HBox(children=(HTML(value=''), FloatProgress(value=0.0, layout=Layout(flex='2'), max=938.0), HTML(value='')), …



<tensorflow.python.keras.callbacks.History at 0x7f5f02d57208>

아래는 위의 셀을 실행할 때 예상되는 출력입니다. TQDM Progress Bar Figure

# TQDMProgressBar() also works with evaluate()
model.evaluate(x_test, y_test, batch_size=64, callbacks=[tqdm_callback], verbose=0)
HBox(children=(HTML(value='Evaluating'), FloatProgress(value=0.0, layout=Layout(flex='2'), max=157.0), HTML(va…


[0.07110489159822464, 0.9794999957084656]

아래는 위의 셀을 실행할 때 예상되는 출력입니다. TQDM Evaluate Progress Bar Figure