logger

dataflow/dataset/mnist.py

@@ -9,6 +9,8 @@ import gzip
 import numpy
 from six.moves import urllib
 
+from utils import logger
+
 __all__ = ['Mnist']
 
 SOURCE_URL = 'http://yann.lecun.com/exdb/mnist/'
@@ -19,9 +21,10 @@ def maybe_download(filename, work_directory):
         os.mkdir(work_directory)
     filepath = os.path.join(work_directory, filename)
     if not os.path.exists(filepath):
+        logger.info("Downloading mnist data...")
         filepath, _ = urllib.request.urlretrieve(SOURCE_URL + filename, filepath)
         statinfo = os.stat(filepath)
-    print('Successfully downloaded', filename, statinfo.st_size, 'bytes.')
+        logger.info('Successfully downloaded to ' + filename)
     return filepath
 
 def _read32(bytestream):
@@ -30,7 +33,6 @@ def _read32(bytestream):
 
 def extract_images(filename):
   """Extract the images into a 4D uint8 numpy array [index, y, x, depth]."""
-  print('Extracting', filename)
   with gzip.open(filename) as bytestream:
     magic = _read32(bytestream)
     if magic != 2051:
@@ -47,7 +49,6 @@ def extract_images(filename):
 
 def extract_labels(filename):
   """Extract the labels into a 1D uint8 numpy array [index]."""
-  print('Extracting', filename)
   with gzip.open(filename) as bytestream:
     magic = _read32(bytestream)
     if magic != 2049:

example_mnist.py

@@ -3,15 +3,16 @@
 # File: example_mnist.py
 # Author: Yuxin Wu <ppwwyyxx@gmail.com>
 
-
-# prefer protobuf in user-namespace
+# use user-space protobuf
 import sys
 import os
 sys.path.insert(0, os.path.expanduser('~/.local/lib/python2.7/site-packages'))
 
 import tensorflow as tf
 import numpy as np
+import os
 
+from utils import logger
 from layers import *
 from utils import *
 from dataflow.dataset import Mnist
@@ -77,6 +78,7 @@ def get_config():
     IMAGE_SIZE = 28
     LOG_DIR = 'train_log'
     BATCH_SIZE = 128
+    logger.set_file(os.path.join(LOG_DIR, 'training.log'))
 
     dataset_train = BatchData(Mnist('train'), BATCH_SIZE)
     dataset_test = BatchData(Mnist('test'), 256, remainder=True)

layers/regularize.py

@@ -5,6 +5,7 @@
 
 import tensorflow as tf
 import re
+from utils import logger
 
 __all__ = ['regularize_cost']
 
@@ -16,7 +17,7 @@ def regularize_cost(regex, func):
     for p in params:
         name = p.name
         if re.search(regex, name):
-            print("Weight decay for {}".format(name))
+            logger.info("Weight decay for {}".format(name))
             costs.append(func(p))
     return tf.add_n(costs)
 

utils/logger.py

+#!/usr/bin/env python2
+# -*- coding: UTF-8 -*-
+# File: logger.py
+# Author: Yuxin Wu <ppwwyyxx@gmail.com>
+
+import logging
+import os
+from termcolor import colored
+
+__all__ = []
+
+class MyFormatter(logging.Formatter):
+    def format(self, record):
+        date = colored('[%(asctime)s %(lineno)d@%(filename)s:%(name)s]', 'green')
+        msg = '%(message)s'
+        if record.levelno == logging.WARNING:
+            fmt = date + ' ' + colored('WRN', 'red', attrs=['blink']) + ' ' + msg
+        elif record.levelno == logging.ERROR or record.levelno == logging.CRITICAL:
+            fmt = date + ' ' + colored('ERR', 'red', attrs=['blink', 'underline']) + ' ' + msg
+        else:
+            fmt = date + ' ' + msg
+        self._fmt = fmt
+        return super(MyFormatter, self).format(record)
+
+def getlogger():
+    logger = logging.getLogger('tensorpack')
+    logger.propagate = False
+    logger.setLevel(logging.INFO)
+    handler = logging.StreamHandler()
+    handler.setFormatter(MyFormatter(datefmt='%d %H:%M:%S'))
+    logger.addHandler(handler)
+    return logger
+
+logger = getlogger()
+
+for func in ['info', 'warning', 'error', 'critical', 'warn']:
+    locals()[func] = getattr(logger, func)
+
+def set_file(path):
+    if os.path.isfile(path):
+        warn("File \"{}\" exists! backup? (y/n)".format(path))
+        resp = raw_input()
+        if resp in ['y', 'Y']:
+            from datetime import datetime
+            backup_name = path + datetime.now().strftime('.%d-%H%M%S')
+            import shutil
+            shutil.move(path, backup_name)
+            info("Log '{}' moved to '{}'".format(path, backup_name))
+    hdl = logging.FileHandler(
+        filename=path, encoding='utf-8', mode='w')
+    logger.addHandler(hdl)

utils/validation_callback.py

@@ -8,6 +8,7 @@ from .stat import *
 from .callback import PeriodicCallback, Callback
 from .naming import *
 from .summary import *
+import logger
 
 class ValidationError(PeriodicCallback):
     """
@@ -63,5 +64,6 @@ class ValidationError(PeriodicCallback):
             create_summary('{}_cost'.format(self.prefix),
                            cost_avg),
             self.epoch_num)
-        print "{} validation after epoch {}: err={}, cost={}".format(
-            self.prefix, self.epoch_num, err_stat.accuracy, cost_avg)
+        logger.info(
+            "{} validation after epoch {}: err={}, cost={}".format(
+            self.prefix, self.epoch_num, err_stat.accuracy, cost_avg))