fix import

examples/ResNet/imagenet_resnet_utils.py

@@ -8,9 +8,14 @@ import tensorflow as tf
 from tensorflow.contrib.layers import variance_scaling_initializer
 
 
+import tensorpack as tp
 from tensorpack import imgaug
 from tensorpack.tfutils import argscope
-from tensorpack.models import *
+from tensorpack.tfutils.summary import add_moving_summary
+from tensorpack.models import (
+    Conv2D, MaxPooling, GlobalAvgPooling, BatchNorm, BNReLU,
+    LinearWrap)
+from tensorpack.predict import PredictConfig, SimpleDatasetPredictor
 
 
 class GoogleNetResize(imgaug.ImageAugmentor):
@@ -137,12 +142,12 @@ def resnet_backbone(image, num_blocks, block_func):
 def eval_on_ILSVRC12(model, model_file, dataflow):
     pred_config = PredictConfig(
         model=model,
-        session_init=get_model_loader(model_file),
+        session_init=tp.get_model_loader(model_file),
         input_names=['input', 'label'],
         output_names=['wrong-top1', 'wrong-top5']
     )
     pred = SimpleDatasetPredictor(pred_config, dataflow)
-    acc1, acc5 = RatioCounter(), RatioCounter()
+    acc1, acc5 = tp.RatioCounter(), tp.RatioCounter()
     for o in pred.get_result():
         batch_size = o[0].shape[0]
         acc1.feed(o[0].sum(), batch_size)