python demo.py Using TensorFlow backend. 2018-11-19 03:04:27.991850: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:865] ARM64 does not support NUMA - returning NUMA node zero 2018-11-19 03:04:27.992063: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1344] Found device 0 with properties: name: NVIDIA Tegra X2 major: 6 minor: 2 memoryClockRate(GHz): 1.3005 pciBusID: 0000:00:00.0 totalMemory: 7.66GiB freeMemory: 494.86MiB 2018-11-19 03:04:27.992136: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1423] Adding visible gpu devices: 0 2018-11-19 03:04:30.366888: I tensorflow/core/common_runtime/gpu/gpu_device.cc:911] Device interconnect StreamExecutor with strength 1 edge matrix: 2018-11-19 03:04:30.367020: I tensorflow/core/common_runtime/gpu/gpu_device.cc:917] 0 2018-11-19 03:04:30.367076: I tensorflow/core/common_runtime/gpu/gpu_device.cc:930] 0: N 2018-11-19 03:04:30.367384: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1041] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 91 MB memory) -> physical GPU (device: 0, name: NVIDIA Tegra X2, pci bus id: 0000:00:00.0, compute capability: 6.2) Traceback (most recent call last): File "demo.py", line 112, in <module> main(YOLO()) File "/home/nvidia/Desktop/Shane and Jason/YoloV3/deep_sort_yolov3/yolo.py", line 33, in __init__ self.boxes, self.scores, self.classes = self.generate() File "/home/nvidia/Desktop/Shane and Jason/YoloV3/deep_sort_yolov3/yolo.py", line 54, in generate self.yolo_model = load_model(model_path, compile=False) File "/usr/local/lib/python2.7/dist-packages/keras/engine/saving.py", line 417, in load_model f = h5dict(filepath, 'r') File "/usr/local/lib/python2.7/dist-packages/keras/utils/io_utils.py", line 186, in __init__ self.data = h5py.File(path, mode=mode) File "/usr/local/lib/python2.7/dist-packages/h5py/_hl/files.py", line 312, in __init__ fid = make_fid(name, mode, userblock_size, fapl, swmr=swmr) File "/usr/local/lib/python2.7/dist-packages/h5py/_hl/files.py", line 142, in make_fid fid = h5f.open(name, flags, fapl=fapl) File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper File "h5py/h5f.pyx", line 78, in h5py.h5f.open IOError: Unable to open file (file signature not found)
How to I get the IOError to go away? Has anyone encountered this before?
TERMINAL:
python demo.py Using TensorFlow backend. 2018-11-19 03:04:27.991850: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:865] ARM64 does not support NUMA - returning NUMA node zero 2018-11-19 03:04:27.992063: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1344] Found device 0 with properties: name: NVIDIA Tegra X2 major: 6 minor: 2 memoryClockRate(GHz): 1.3005 pciBusID: 0000:00:00.0 totalMemory: 7.66GiB freeMemory: 494.86MiB 2018-11-19 03:04:27.992136: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1423] Adding visible gpu devices: 0 2018-11-19 03:04:30.366888: I tensorflow/core/common_runtime/gpu/gpu_device.cc:911] Device interconnect StreamExecutor with strength 1 edge matrix: 2018-11-19 03:04:30.367020: I tensorflow/core/common_runtime/gpu/gpu_device.cc:917] 0 2018-11-19 03:04:30.367076: I tensorflow/core/common_runtime/gpu/gpu_device.cc:930] 0: N 2018-11-19 03:04:30.367384: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1041] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 91 MB memory) -> physical GPU (device: 0, name: NVIDIA Tegra X2, pci bus id: 0000:00:00.0, compute capability: 6.2) Traceback (most recent call last): File "demo.py", line 112, in <module> main(YOLO()) File "/home/nvidia/Desktop/Shane and Jason/YoloV3/deep_sort_yolov3/yolo.py", line 33, in __init__ self.boxes, self.scores, self.classes = self.generate() File "/home/nvidia/Desktop/Shane and Jason/YoloV3/deep_sort_yolov3/yolo.py", line 54, in generate self.yolo_model = load_model(model_path, compile=False) File "/usr/local/lib/python2.7/dist-packages/keras/engine/saving.py", line 417, in load_model f = h5dict(filepath, 'r') File "/usr/local/lib/python2.7/dist-packages/keras/utils/io_utils.py", line 186, in __init__ self.data = h5py.File(path, mode=mode) File "/usr/local/lib/python2.7/dist-packages/h5py/_hl/files.py", line 312, in __init__ fid = make_fid(name, mode, userblock_size, fapl, swmr=swmr) File "/usr/local/lib/python2.7/dist-packages/h5py/_hl/files.py", line 142, in make_fid fid = h5f.open(name, flags, fapl=fapl) File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper File "h5py/h5f.pyx", line 78, in h5py.h5f.open IOError: Unable to open file (file signature not found)
How to I get the IOError to go away? Has anyone encountered this before?
Thanks