Path |
Digest |
Size |
block/__init__.py |
sha256=t0lRx2Oq3uSeFHzhi5ng3TkVM6R90HmSu7jhKtMRLGE
|
116 |
block/__version__.py |
sha256=DQiXHqQ3C29f_--ye7aVMDPnITrl9M0zMU42LYY48zE
|
22 |
block/compare_tdiuc_test.py |
sha256=lj8iaXRHvvQ1S3aMWMlr5IIrSf8myuwn4F_tgU04hEA
|
851 |
block/compare_tdiuc_val.py |
sha256=EVAv0nvIYEbmGJ8fQo65pN5ov4qtctOHqrDXlGafYsc
|
1010 |
block/compare_vqa2_val.py |
sha256=ivDSK4pdcCNPJTmgci-18WKOBnvdleZWls8LcaUTUgA
|
882 |
block/compare_vrd_test.py |
sha256=1QrDI-3hY6ngYtLwFzdZr8ELpnsa9YvPDuMenPHzCHw
|
918 |
block/compare_vrd_val.py |
sha256=7SILZDAr-FQhJpCQzcr6pb-qOcppmEvSb6JExOqglIU
|
816 |
block/datasets/__init__.py |
sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU
|
0 |
block/datasets/factory.py |
sha256=c3JShIsgQRBE4X9zPInM7y0Pu4ftIX_eXP8gO60LMKU
|
3630 |
block/datasets/tdiuc.py |
sha256=ZIgymckFptd7bAx-Y2AFio5Ukkrr_xE2dgMFdIgZyC8
|
3776 |
block/datasets/vg.py |
sha256=NRBIHBOHK-xCHTKroSzkBs44BaqBqz_nZUw7n9tGEh4
|
7130 |
block/datasets/vqa2.py |
sha256=Jj4WiMP8OrhSeyvXFDgB4UBCySqUn35pLzSkVk0YxG0
|
5449 |
block/datasets/vqa2vg.py |
sha256=BZhLo4xZbxi9GqylC2I0tj1yxdUtkwbrUOxyonLwVlU
|
1935 |
block/datasets/vqa_utils.py |
sha256=kQULQ0GUp3hUwAVv6jc5LWafQplDN5hnckEmU8tNBuQ
|
23884 |
block/datasets/vrd.py |
sha256=xvACtT_M6ofkc_Tsn6Aj0tlPDf-sXJHsGVonzpA0GQQ
|
17723 |
block/models/__init__.py |
sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU
|
0 |
block/models/criterions/__init__.py |
sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU
|
0 |
block/models/criterions/factory.py |
sha256=8AgozyAEPuk9tW_rc7RRpBb5gmARuctFtjKBGUCQZ90
|
606 |
block/models/criterions/kl_divergence.py |
sha256=eQApCyeLVnwGm1CUAMgfH1FicN4PuIF6xoiK0vkIJ6U
|
912 |
block/models/criterions/vqa_cross_entropy.py |
sha256=imsM5nni4KZQd1RUwR5Xp8tRkwCoUC-xSmsTrP5hLi0
|
362 |
block/models/criterions/vrd_bce.py |
sha256=gHJB7bvYhTQ3cgHmdZIwxxF8JOnsmyHxumX794tlIEM
|
366 |
block/models/metrics/__init__.py |
sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU
|
0 |
block/models/metrics/compute_oe_accuracy.py |
sha256=L3KdgGqM8h2KpuxLnC1p7yOFWmFFLwCp-knzKwrKYig
|
3576 |
block/models/metrics/factory.py |
sha256=RXwYg-MxAPi3S82eKApDmdYxWcmaLxsaSgjf9YNb_0k
|
1743 |
block/models/metrics/vqa_accuracies.py |
sha256=0ErlIwgvYrL8IJkADUhMQlLOEqG607A-zaAXVEDxRoI
|
9261 |
block/models/metrics/vqa_accuracy.py |
sha256=jaykswNUecpd6eiU0Rk7cNu50W0gP6iVqRtDKfdyhS4
|
622 |
block/models/metrics/vrd_predicate.py |
sha256=OyXCurol7qcyI2mX3T32s1MeRsLZZgrqG-CwtEIK1aE
|
4558 |
block/models/metrics/vrd_rel_phrase.py |
sha256=41PviL3fLDPWaDLhDin3z6Q7uQqfO0jI4Ovk6DRmxfk
|
4161 |
block/models/metrics/vrd_utils.py |
sha256=IQ0MhzlbN-VIDKUyy6r6WbTxOBaTJ_0rt04HpZzpjS8
|
6597 |
block/models/networks/__init__.py |
sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU
|
0 |
block/models/networks/factory.py |
sha256=UkAzl9L4-9iO4WE95i6Qm5ocGlDYQesFzNuwVAqzXM8
|
941 |
block/models/networks/mlp.py |
sha256=cnDBnt_9HQ3Esl1BrWrGhbP-TnJgmqNhtMW1lPV_Qkg
|
945 |
block/models/networks/vqa_net.py |
sha256=Z4dggQtc6Qqcspf3DB8wNYzFJRzArlk3aeT0lWA7fWo
|
5284 |
block/models/networks/vrd_net.py |
sha256=WEnFWOglV7JGM7lhQLpqJZemIk9W1AROZDEXqe0buSo
|
1391 |
block/models/networks/fusions/__init__.py |
sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU
|
0 |
block/models/networks/fusions/compactbilinearpooling.py |
sha256=2i6Dkmc3xSVrK2PddE_RRh5XevXeRGS53XzslmswvoY
|
9940 |
block/models/networks/fusions/factory.py |
sha256=OF7oBvl-h3bmPNCh2w9ezr2yM8kgHGhqfphmhXfiL9Q
|
1145 |
block/models/networks/fusions/fusions.py |
sha256=9Gcc9wFyweFoVCZzQROzZNXQUQh2rvKNbet68xs4XOQ
|
21208 |
block/optimizers/__init__.py |
sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU
|
0 |
block/optimizers/factory.py |
sha256=5rZ1P3yhV_ZoS4mNflXGqqwzyhn1wBJYg6PXkQXtOAg
|
1137 |
block/optimizers/lr_scheduler.py |
sha256=8_P72qMGFw2VDK-obeqnibaVYqojgNlRSIuXpySz6u4
|
4534 |
block.bootstrap.pytorch-0.1.5.dist-info/LICENSE.txt |
sha256=LMVZZ0S_LnNa0eVR5PHu1FyqmARW7MHWQiWvz5yTon8
|
1561 |
block.bootstrap.pytorch-0.1.5.dist-info/METADATA |
sha256=3jLyuqQKEv2gJl0B7PNASXruOD18m7nUzdPIw4DjjcQ
|
31305 |
block.bootstrap.pytorch-0.1.5.dist-info/WHEEL |
sha256=S8S5VL-stOTSZDYxHyf0KP7eds0J72qrK0Evu3TfyAY
|
92 |
block.bootstrap.pytorch-0.1.5.dist-info/top_level.txt |
sha256=kKewj3ahoz3D5Mnezzn_k6iJGPH0b9Gz-_Xt1hnXfcY
|
6 |
block.bootstrap.pytorch-0.1.5.dist-info/RECORD |
— |
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