add visualdl

ppcls/utils/logger.py

@@ -19,9 +19,10 @@ import datetime
 from imp import reload
 reload(logging)
 
-logging.basicConfig(level=logging.INFO, 
-                    format="%(asctime)s %(levelname)s: %(message)s",
-                    datefmt = "%Y-%m-%d %H:%M:%S")
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s %(levelname)s: %(message)s",
+    datefmt="%Y-%m-%d %H:%M:%S")
 
 
 def time_zone(sec, fmt):
@@ -32,22 +33,22 @@ def time_zone(sec, fmt):
 logging.Formatter.converter = time_zone
 _logger = logging.getLogger(__name__)
 
-
-Color= {
-        'RED' : '\033[31m' ,
-        'HEADER' : '\033[35m' , # deep purple
-        'PURPLE' : '\033[95m' ,# purple
-        'OKBLUE' : '\033[94m' ,
-        'OKGREEN' : '\033[92m' ,
-        'WARNING' : '\033[93m' ,
-        'FAIL' : '\033[91m' ,
-        'ENDC' : '\033[0m' }
+Color = {
+    'RED': '\033[31m',
+    'HEADER': '\033[35m',  # deep purple
+    'PURPLE': '\033[95m',  # purple
+    'OKBLUE': '\033[94m',
+    'OKGREEN': '\033[92m',
+    'WARNING': '\033[93m',
+    'FAIL': '\033[91m',
+    'ENDC': '\033[0m'
+}
 
 
 def coloring(message, color="OKGREEN"):
     assert color in Color.keys()
     if os.environ.get('PADDLECLAS_COLORING', False):
-        return Color[color]+str(message)+Color["ENDC"]
+        return Color[color] + str(message) + Color["ENDC"]
     else:
         return message
 
@@ -80,6 +81,12 @@ def error(fmt, *args):
     _logger.error(coloring(fmt, "FAIL"), *args)
 
 
+def scaler(name, value, step, path):
+    from visualdl import LogWriter
+    vdl_writer = LogWriter(path)
+    vdl_writer.add_scalar(name, value, step)
+
+
 def advertise():
     """
     Show the advertising message like the following:
@@ -99,12 +106,13 @@ def advertise():
     website = "https://github.com/PaddlePaddle/PaddleClas"
     AD_LEN = 6 + len(max([copyright, ad, website], key=len))
 
-    info(coloring("\n{0}\n{1}\n{2}\n{3}\n{4}\n{5}\n{6}\n{7}\n".format(
-        "=" * (AD_LEN + 4),
-        "=={}==".format(copyright.center(AD_LEN)),
-        "=" * (AD_LEN + 4),
-        "=={}==".format(' ' * AD_LEN),
-        "=={}==".format(ad.center(AD_LEN)),
-        "=={}==".format(' ' * AD_LEN),
-        "=={}==".format(website.center(AD_LEN)),
-        "=" * (AD_LEN + 4), ),"RED"))
+    info(
+        coloring("\n{0}\n{1}\n{2}\n{3}\n{4}\n{5}\n{6}\n{7}\n".format(
+            "=" * (AD_LEN + 4),
+            "=={}==".format(copyright.center(AD_LEN)),
+            "=" * (AD_LEN + 4),
+            "=={}==".format(' ' * AD_LEN),
+            "=={}==".format(ad.center(AD_LEN)),
+            "=={}==".format(' ' * AD_LEN),
+            "=={}==".format(website.center(AD_LEN)),
+            "=" * (AD_LEN + 4), ), "RED"))

tools/program.py

@@ -384,7 +384,10 @@ def compile(config, program, loss_name=None):
     return compiled_program
 
 
-def run(dataloader, exe, program, fetchs, epoch=0, mode='train'):
+total_step = 0
+
+
+def run(dataloader, exe, program, fetchs, epoch=0, mode='train', vdl_dir=None):
     """
     Feed data to the model and fetch the measures and loss
 
@@ -412,6 +415,10 @@ def run(dataloader, exe, program, fetchs, epoch=0, mode='train'):
             metric_list[i].update(m[0], len(batch[0]))
         fetchs_str = ''.join([str(m.value) + ' '
                               for m in metric_list] + [batch_time.value]) + 's'
+        if vdl_dir:
+            global total_step
+            logger.scaler('loss', metrics[0][0], total_step, vdl_dir)
+            total_step += 1
         if mode == 'eval':
             logger.info("{:s} step:{:<4d} {:s}s".format(mode, idx, fetchs_str))
         else:

tools/train.py

@@ -38,6 +38,11 @@ def parse_args():
         type=str,
         default='configs/ResNet/ResNet50.yaml',
         help='config file path')
+    parser.add_argument(
+        '--vdl_dir',
+        type=str,
+        default="scaler",
+        help='VisualDL logging directory for image.')
     parser.add_argument(
         '-o',
         '--override',
@@ -94,7 +99,7 @@ def main(args):
     for epoch_id in range(config.epochs):
         # 1. train with train dataset
         program.run(train_dataloader, exe, compiled_train_prog, train_fetchs,
-                    epoch_id, 'train')
+                    epoch_id, 'train', args.vdl_dir)
         if int(os.getenv("PADDLE_TRAINER_ID", 0)) == 0:
             # 2. validate with validate dataset
             if config.validate and epoch_id % config.valid_interval == 0:
@@ -103,13 +108,15 @@ def main(args):
                                        epoch_id, 'valid')
                 if top1_acc > best_top1_acc:
                     best_top1_acc = top1_acc
-                    message = "The best top1 acc {:.5f}, in epoch: {:d}".format(best_top1_acc, epoch_id)
+                    message = "The best top1 acc {:.5f}, in epoch: {:d}".format(
+                        best_top1_acc, epoch_id)
                     logger.info("{:s}".format(logger.coloring(message, "RED")))
-                    if epoch_id % config.save_interval==0:
+                    if epoch_id % config.save_interval == 0:
 
                         model_path = os.path.join(config.model_save_dir,
-                                              config.ARCHITECTURE["name"])
-                        save_model(train_prog, model_path, "best_model_in_epoch_"+str(epoch_id))
+                                                  config.ARCHITECTURE["name"])
+                        save_model(train_prog, model_path,
+                                   "best_model_in_epoch_" + str(epoch_id))
 
             # 3. save the persistable model
             if epoch_id % config.save_interval == 0: