deeplearn@ML-RefVm-967342:~$ mkdir imagenet
deeplearn@ML-RefVm-967342:~$ cd imagenet
deeplearn@ML-RefVm-967342:~/imagenet$ kaggle competitions download -c ml530-2022-fall-imagenet
Downloading ml530-2022-fall-imagenet.zip to /home/deeplearn/imagenet
 98%|████████████████████████████████████████████████████████████████████████████████████████████▏ | 1.03G/1.05G [00:10<00:00, 117MB/s]
100%|██████████████████████████████████████████████████████████████████████████████████████████████| 1.05G/1.05G [00:10<00:00, 104MB/s]
deeplearn@ML-RefVm-967342:~/imagenet$ wget https://cross-entropy.net/ML530/imagenet-tensors.py.txt
--2022-10-29 17:29:20--  https://cross-entropy.net/ML530/imagenet-tensors.py.txt
Resolving cross-entropy.net (cross-entropy.net)... 107.180.57.14
Connecting to cross-entropy.net (cross-entropy.net)|107.180.57.14|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 1868 (1.8K) [text/plain]
Saving to: ‘imagenet-tensors.py.txt’

imagenet-tensors.py.txt           100%[============================================================>]   1.82K  --.-KB/s    in 0s

2022-10-29 17:29:20 (1.34 GB/s) - ‘imagenet-tensors.py.txt’ saved [1868/1868]

deeplearn@ML-RefVm-967342:~/imagenet$ python imagenet-tensors.py.txt
deeplearn@ML-RefVm-967342:~/imagenet$ wget https://www.cross-entropy.net/ML530/tiny_imagenet_names.txt
--2022-10-29 17:33:12--  https://www.cross-entropy.net/ML530/tiny_imagenet_names.txt
Resolving www.cross-entropy.net (www.cross-entropy.net)... 107.180.57.14
Connecting to www.cross-entropy.net (www.cross-entropy.net)|107.180.57.14|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 21990 (21K) [text/plain]
Saving to: ‘tiny_imagenet_names.txt’

tiny_imagenet_names.txt           100%[============================================================>]  21.47K  --.-KB/s    in 0s

2022-10-29 17:33:12 (320 MB/s) - ‘tiny_imagenet_names.txt’ saved [21990/21990]

deeplearn@ML-RefVm-967342:~/imagenet$ wget https://cross-entropy.net/ML530/imagenet-off-the-shelf.py.txt
--2022-10-29 17:39:24--  https://cross-entropy.net/ML530/imagenet-off-the-shelf.py.txt
Resolving cross-entropy.net (cross-entropy.net)... 107.180.57.14
Connecting to cross-entropy.net (cross-entropy.net)|107.180.57.14|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 1270 (1.2K) [text/plain]
Saving to: ‘imagenet-off-the-shelf.py.txt’

imagenet-off-the-shelf.py.txt     100%[============================================================>]   1.24K  --.-KB/s    in 0s

2022-10-29 17:39:24 (932 MB/s) - ‘imagenet-off-the-shelf.py.txt’ saved [1270/1270]

deeplearn@ML-RefVm-967342:~/imagenet$ time python imagenet-off-the-shelf.py.txt
2022-10-29 17:39:56.714715: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2022-10-29 17:40:08.218427: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 10794 MB memory:  -> device: 0, name: Tesla K80, pci bus id: 0001:00:00.0, compute capability: 3.7
Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/efficientnet_v2/efficientnetv2-b0.h5
29403144/29403144 [==============================] - 0s 0us/step
2022-10-29 17:40:34.125075: I tensorflow/stream_executor/cuda/cuda_dnn.cc:384] Loaded cuDNN version 8500
313/313 [==============================] - 69s 96ms/step
Downloading data from https://storage.googleapis.com/download.tensorflow.org/data/imagenet_class_index.json
35363/35363 [==============================] - 0s 0us/step
0.549   0.7912  0.6443933333333259

real    1m53.260s
user    0m17.592s
sys     0m3.761s
deeplearn@ML-RefVm-967342:~/imagenet$