Run demo.py with no result about fcis HOT 10 OPEN

use mxnet at /home/jimmy/mxnet/python/mxnet/__init__.pyc
{'BINARY_THRESH': 0.4,
 'CLASS_AGNOSTIC': True,
 'MASK_SIZE': 21,
 'MXNET_VERSION': 'mxnet',
 'SCALES': [(600, 1000)],
 'TEST': {'BATCH_IMAGES': 1,
          'CXX_PROPOSAL': False,
          'HAS_RPN': True,
          'ITER': 2,
          'MASK_MERGE_THRESH': 0.5,
          'MIN_DROP_SIZE': 2,
          'NMS': 0.3,
          'PROPOSAL_MIN_SIZE': 2,
          'PROPOSAL_NMS_THRESH': 0.7,
          'PROPOSAL_POST_NMS_TOP_N': 2000,
          'PROPOSAL_PRE_NMS_TOP_N': 20000,
          'RPN_MIN_SIZE': 2,
          'RPN_NMS_THRESH': 0.7,
          'RPN_POST_NMS_TOP_N': 300,
          'RPN_PRE_NMS_TOP_N': 6000,
          'USE_GPU_MASK_MERGE': False,
          'USE_MASK_MERGE': True,
          'test_epoch': 8},
 'TRAIN': {'ASPECT_GROUPING': True,
           'BATCH_IMAGES': 1,
           'BATCH_ROIS': -1,
           'BATCH_ROIS_OHEM': 128,
           'BBOX_MEANS': [0.0, 0.0, 0.0, 0.0],
           'BBOX_NORMALIZATION_PRECOMPUTED': True,
           'BBOX_REGRESSION_THRESH': 0.5,
           'BBOX_STDS': [0.2, 0.2, 0.5, 0.5],
           'BBOX_WEIGHTS': array([ 1.,  1.,  1.,  1.]),
           'BG_THRESH_HI': 0.5,
           'BG_THRESH_LO': 0,
           'BINARY_THRESH': 0.4,
           'CONVNEW3': True,
           'CXX_PROPOSAL': False,
           'ENABLE_OHEM': True,
           'END2END': True,
           'FG_FRACTION': 0.25,
           'FG_THRESH': 0.5,
           'FLIP': True,
           'GAP_SELECT_FROM_ALL': False,
           'IGNORE_GAP': False,
           'LOSS_WEIGHT': [1.0, 10.0, 1.0],
           'RESUME': False,
           'RPN_ALLOWED_BORDER': 0,
           'RPN_BATCH_SIZE': 256,
           'RPN_BBOX_WEIGHTS': [1.0, 1.0, 1.0, 1.0],
           'RPN_CLOBBER_POSITIVES': False,
           'RPN_FG_FRACTION': 0.5,
           'RPN_MIN_SIZE': 2,
           'RPN_NEGATIVE_OVERLAP': 0.3,
           'RPN_NMS_THRESH': 0.7,
           'RPN_POSITIVE_OVERLAP': 0.7,
           'RPN_POSITIVE_WEIGHT': -1.0,
           'RPN_POST_NMS_TOP_N': 300,
           'RPN_PRE_NMS_TOP_N': 6000,
           'SHUFFLE': True,
           'begin_epoch': 0,
           'end_epoch': 8,
           'lr': 0.0005,
           'lr_step': '5.33',
           'model_prefix': 'e2e',
           'momentum': 0.9,
           'warmup': True,
           'warmup_lr': 5e-05,
           'warmup_step': 250,
           'wd': 0.0005},
 'dataset': {'NUM_CLASSES': 81,
             'dataset': 'coco',
             'dataset_path': './data/coco',
             'image_set': 'train2014+valminusminival2014',
             'proposal': 'rpn',
             'root_path': './data',
             'test_image_set': 'test-dev2015'},
 'default': {'frequent': 20, 'kvstore': 'device'},
 'gpus': '0',
 'network': {'ANCHOR_RATIOS': [0.5, 1, 2],
             'ANCHOR_SCALES': [4, 8, 16, 32],
             'FIXED_PARAMS': ['conv1',
                              'bn_conv1',
                              'res2',
                              'bn2',
                              'gamma',
                              'beta'],
             'FIXED_PARAMS_SHARED': ['conv1',
                                     'bn_conv1',
                                     'res2',
                                     'bn2',
                                     'res3',
                                     'bn3',
                                     'res4',
                                     'bn4',
                                     'gamma',
                                     'beta'],
             'IMAGE_STRIDE': 0,
             'NUM_ANCHORS': 12,
             'PIXEL_MEANS': array([ 103.06,  115.9 ,  123.15]),
             'RCNN_FEAT_STRIDE': 16,
             'RPN_FEAT_STRIDE': 16,
             'pretrained': './model/pretrained_model/resnet_v1_101',
             'pretrained_epoch': 0},
 'output_path': '../output/fcis',
 'symbol': 'resnet_v1_101_fcis'}
[12:00:36] src/operator/convolution.cu:87: This convolution is not supported by cudnn, MXNET convolution is applied.
[12:00:36] src/operator/convolution.cu:87: This convolution is not supported by cudnn, MXNET convolution is applied.
[12:00:36] src/operator/convolution.cu:87: This convolution is not supported by cudnn, MXNET convolution is applied.
[12:00:37] src/operator/convolution.cu:87: This convolution is not supported by cudnn, MXNET convolution is applied.
[12:00:37] src/operator/convolution.cu:87: This convolution is not supported by cudnn, MXNET convolution is applied.
[12:00:37] src/operator/convolution.cu:87: This convolution is not supported by cudnn, MXNET convolution is applied.
(426, 640)
invalid device function
invalid device function
testing COCO_test2015_000000000275.jpg 2.1574s
[12:00:54] src/operator/convolution.cu:87: This convolution is not supported by cudnn, MXNET convolution is applied.
[12:00:54] src/operator/convolution.cu:87: This convolution is not supported by cudnn, MXNET convolution is applied.
[12:00:54] src/operator/convolution.cu:87: This convolution is not supported by cudnn, MXNET convolution is applied.
(427, 640)
invalid device function
invalid device function
testing COCO_test2015_000000001412.jpg 2.2110s
(427, 640)
invalid device function
invalid device function
testing COCO_test2015_000000073428.jpg 2.1906s
[12:01:05] src/operator/convolution.cu:87: This convolution is not supported by cudnn, MXNET convolution is applied.
[12:01:05] src/operator/convolution.cu:87: This convolution is not supported by cudnn, MXNET convolution is applied.
[12:01:05] src/operator/convolution.cu:87: This convolution is not supported by cudnn, MXNET convolution is applied.
(428, 640)
invalid device function
invalid device function
testing COCO_test2015_000000393281.jpg 2.1758s
done