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gist:a204a3460393a630a8708a2a4f01f5fb · GitHub
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| (fair_env) matthijs@devfair0144:~/src/low-shot-with-diffusion$ python diffusion.py --mode test --nlabeled 2 --seed 1 --nbg 1000000 --niter 3 | |
| ========================== run on Test | |
| load train + test set | |
| nb of eval classes 311 | |
| /public/apps/anaconda2/5.0.1/envs/fair_env/lib/python2.7/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`. | |
| from ._conv import register_converters as _register_converters | |
| open /checkpoint/matthijs/low-shot/features/val.hdf5 | |
| read /checkpoint/matthijs/low-shot/features/val_features.npy | |
| features loaded in 3.415 s | |
| nb of eval classes 311 | |
| open /checkpoint/matthijs/low-shot/features/train.hdf5 | |
| read /checkpoint/matthijs/low-shot/features/train_features.npy | |
| features loaded in 87.034 s | |
| selecting images, seed=1 | |
| load /checkpoint/matthijs/low-shot/features/PCAR256.vt | |
| dataset sizes: Xtr (250860, 256) (250860 labeled), Xte (25350, 256), 507 classes (eval on 25350 examples, 507 classes, 311 novel classes) | |
| memmapping /checkpoint/matthijs/low-shot/features//f100m/concatenated_PCAR256.raw | |
| [0.000 s, 0.36 GiB] make knn graph for 250860+1000000 k=30 d=256 | |
| [0.000 s, 0.36 GiB] make distractor graph for ndis=1000000 k=30 | |
| [0.000 s, 0.36 GiB] fname_base= /checkpoint/matthijs/low-shot/knngraph/ndis1000000 | |
| [0.001 s, 0.36 GiB] load /checkpoint/matthijs/low-shot/knngraph/ndis1000000.index | |
| moving to 2 GPUs | |
| done in 6.657 s | |
| [7.566 s, 3.07 GiB] mmap /checkpoint/matthijs/low-shot/knngraph/ndis1000000_k32_D_11.float32 /checkpoint/matthijs/low-shot/knngraph/ndis1000000_k32_I_11.int32 | |
| [0.006 s, 3.07 GiB] distractor graph ready | |
| [7.573 s, 3.07 GiB] spherifying all descriptors | |
| [0.337 s, 3.08 GiB] search labelled (250860, 256) | |
| search 245760:250860 / 250860 | |
| [7.780 s, 3.08 GiB] search test (25350, 256) | |
| [1.132 s, 2.58 GiB] make Flat index for labelled | |
| moving to 2 GPUs | |
| done in 0.328 s | |
| [0.495 s, 3.08 GiB] alloc output | |
| [0.000 s, 3.08 GiB] search labelled | |
| [2.215 s, 3.08 GiB] search distractors | |
| search 999424:1000000 / 1000000 | |
| [9.513 s, 4.08 GiB] search test | |
| [0.361 s, 3.58 GiB] merge results | |
| [0.080 s, 3.55 GiB] graph done | |
| [3.55 GiB] begin diffusion | |
| knngraph_to_CSRMatrix in: 3.55 GiB | |
| A: 3.55 GiB | |
| B: 4.32 GiB | |
| C: 4.79 GiB | |
| D: 4.79 GiB, matrix nnz=64074274 | |
| [1.233 s, 4.79 GiB] preproc done | |
| [0.000 s, 4.79 GiB] Classes 0:507 | |
| [20.490 s, 7.20 GiB] start iter | |
| [25.131 s, 7.25 GiB] iter 0 val nnz 0.042 | |
| [28.888 s, 7.29 GiB] iter 1 val nnz 0.213 | |
| [33.233 s, 7.39 GiB] iter 2 val nnz 0.499 | |
| intial state nnz 2.71 top-5 accuracy: 0.412 (0.093 on novel) | |
| iter 0/3 nnz 21.15 top-5 accuracy: 0.587 (0.370 on novel) | |
| iter 1/3 nnz 108.02 top-5 accuracy: 0.672 (0.531 on novel) | |
| iter 2/3 nnz 252.89 top-5 accuracy: 0.678 (0.544 on novel) |
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