Killed

[Davidnet]

On a brand new jetson while running the test:

ubuntu@tegra-ubuntu:~/Documents/Projects/tf_to_trt_image_classification$ python scripts/test_tf.py
Testing mobilenet_v1_0p25_128
2018-03-15 01:29:49.697714: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:865] ARM64 does not support NUMA - returning NUMA node zero                                                                                              
2018-03-15 01:29:49.697838: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties:
name: NVIDIA Tegra X2 major: 6 minor: 2 memoryClockRate(GHz): 1.3005
pciBusID: 0000:00:00.0
totalMemory: 7.67GiB freeMemory: 6.14GiB
2018-03-15 01:29:49.697886: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0
2018-03-15 01:29:50.859554: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 5664 MB memory) -> physical GPU (device: 0, name: NVIDIA Tegra X2, pci bus
id: 0000:00:00.0, compute capability: 6.2)
['Gordon setter\n', 'Rottweiler\n', 'Tibetan mastiff\n', 'black-and-tan coonhound\n', 'flat-coated retriever\n']
Testing resnet_v1_50
2018-03-15 01:29:57.964211: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0
2018-03-15 01:29:57.964345: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 4491 MB memory) -> physical GPU (device: 0, name: NVIDIA Tegra X2, pci bus
id: 0000:00:00.0, compute capability: 6.2)
['Gordon setter\n', 'Irish setter, red setter\n', 'cocker spaniel, English cocker spaniel, cocker\n', 'black-and-tan coonhound\n', 'Rottweiler\n']                                                                                          
Testing mobilenet_v1_1p0_224
2018-03-15 01:30:06.583719: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0
2018-03-15 01:30:06.583871: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 2178 MB memory) -> physical GPU (device: 0, name: NVIDIA Tegra X2, pci bus
id: 0000:00:00.0, compute capability: 6.2)
['Gordon setter\n', 'Irish setter, red setter\n', 'black-and-tan coonhound\n', 'cocker spaniel, English cocker spaniel, cocker\n', 'Tibetan mastiff\n']                                                                                     
Testing inception_v2
2018-03-15 01:30:11.103292: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0
2018-03-15 01:30:11.103426: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 2131 MB memory) -> physical GPU (device: 0, name: NVIDIA Tegra X2, pci bus
id: 0000:00:00.0, compute capability: 6.2)
['Gordon setter\n', 'Irish setter, red setter\n', 'cocker spaniel, English cocker spaniel, cocker\n', 'Rottweiler\n', 'black-and-tan coonhound\n']                                                                                          
Testing inception_v3
2018-03-15 01:30:19.184979: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0
2018-03-15 01:30:19.185114: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 2030 MB memory) -> physical GPU (device: 0, name: NVIDIA Tegra X2, pci bus
id: 0000:00:00.0, compute capability: 6.2)
['Gordon setter\n', 'Rottweiler\n', 'Irish setter, red setter\n', 'black-and-tan coonhound\n', 'English setter\n']
Testing resnet_v2_152
2018-03-15 01:30:38.026162: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0
2018-03-15 01:30:38.026349: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 27 MB memory) -> physical GPU (device: 0, name: NVIDIA Tegra X2, pci bus id: 0000:00:00.0, compute capability: 6.2)
Killed

new Jetpack. Any ideas why the jetson is not returning full memory?

[Deleted user]

We are currently looking into the TensorFlow related memory issues. However, restarting the Jetson TX2 you should be able to run the entire script.

[Davidnet]

No, I haven't be able to replicate the script, every time gets killed by memory consumption

[Davidnet]

I have seen that creating sessions and closing sessions it actually downs the available gpu memory usage. Maybe a bug in tf part?

[ds2268]

@jaybdub-nv I can report the same issue. Reboot does not help. Memory consumption is constantly around 6.5GB but in resnet_v2_152 goes through the limit of 8GB.

[mikeliao97]

I am also reporting this problem. Please let me know if you find any solutions :)