merge develop

paddleclas.py

@@ -340,6 +340,7 @@ def print_info():
         first_width = 30
         second_width = total_width - first_width if total_width > 50 else 10
     except OSError:
+        total_width = 100
         second_width = 100
     for series in IMN_MODEL_SERIES:
         names = textwrap.fill(
@@ -452,7 +453,9 @@ class PaddleClas(object):
     """PaddleClas.
     """
 
-    print_info()
+    if not os.environ.get('ppcls', False):
+        os.environ.setdefault('ppcls', 'True')
+        print_info()
 
     def __init__(self,
                  model_name: str=None,

ppcls/utils/logger.py

@@ -12,11 +12,11 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import datetime
+import logging
 import os
 import sys
 
-import logging
-import datetime
 import paddle.distributed as dist
 
 _logger = None
@@ -39,8 +39,12 @@ def init_logger(name='ppcls', log_file=None, log_level=logging.INFO):
         logging.Logger: The expected logger.
     """
     global _logger
-    assert _logger is None, "logger should not be initialized twice or more."
-    _logger = logging.getLogger(name)
+
+    #  solve mutiple init issue when using paddleclas.py and engin.engin
+    init_flag = False
+    if _logger is None:
+        _logger = logging.getLogger(name)
+        init_flag = True
 
     formatter = logging.Formatter(
         '[%(asctime)s] %(name)s %(levelname)s: %(message)s',
@@ -48,13 +52,32 @@ def init_logger(name='ppcls', log_file=None, log_level=logging.INFO):
 
     stream_handler = logging.StreamHandler(stream=sys.stdout)
     stream_handler.setFormatter(formatter)
-    _logger.addHandler(stream_handler)
+    stream_handler._name = 'stream_handler'
+
+    # add stream_handler when _logger dose not contain stream_handler
+    for i, h in enumerate(_logger.handlers):
+        if h.get_name() == stream_handler.get_name():
+            break
+        if i == len(_logger.handlers) - 1:
+            _logger.addHandler(stream_handler)
+    if init_flag:
+        _logger.addHandler(stream_handler)
+
     if log_file is not None and dist.get_rank() == 0:
         log_file_folder = os.path.split(log_file)[0]
         os.makedirs(log_file_folder, exist_ok=True)
         file_handler = logging.FileHandler(log_file, 'a')
         file_handler.setFormatter(formatter)
-        _logger.addHandler(file_handler)
+        file_handler._name = 'file_handler'
+
+        # add file_handler when _logger dose not contain same file_handler
+        for i, h in enumerate(_logger.handlers):
+            if h.get_name() == file_handler.get_name() and \
+                    h.baseFilename == file_handler.baseFilename:
+                break
+            if i == len(_logger.handlers) - 1:
+                _logger.addHandler(file_handler)
+
     if dist.get_rank() == 0:
         _logger.setLevel(log_level)
     else:

test_tipc/prepare.sh

@@ -98,7 +98,9 @@ if [[ ${MODE} = "cpp_infer" ]]; then
 
         if [[ $cpp_type == "cls" ]]; then
             eval "wget -nc $cls_inference_url"
-            tar xf "${model_name}_infer.tar"
+            tar_name=$(func_get_url_file_name "$cls_inference_url")
+            model_dir=${tar_name%.*}
+            eval "tar xf ${tar_name}"
 
             cd dataset
             rm -rf ILSVRC2012