https://github.com/NVIDIA/DIGITS

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Revision Author Date Message Commit Date
3882334 Mark v3.2.0 18 February 2016, 00:12:23 UTC
340e42d Merge pull request #582 from anuragphadke/master Classification example np.array performance bottleneck 17 February 2016, 19:04:56 UTC
843848a https://github.com/NVIDIA/DIGITS/issues/581 17 February 2016, 18:43:19 UTC
1cb4de2 Merge pull request #580 from anuragphadke/master pass batch_size to classify() via command line 17 February 2016, 18:04:33 UTC
5f7217c pass batch_size to classify() via command line 17 February 2016, 15:07:21 UTC
7f2f820 Merge pull request #579 from lukeyeager/classification-example-timing Fix timing in example/classification scripts 17 February 2016, 00:11:45 UTC
7f4f1fb Fix timing in example/classification scripts 16 February 2016, 21:18:31 UTC
9419536 Merge pull request #575 from gheinrich/dev/bug-574 Fix name of ip2_right bias 14 February 2016, 18:37:27 UTC
e538b51 Merge pull request #576 from gheinrich/dev/caffe-net-sanity-check Drop error if a Caffe layer references an invalid bottom 12 February 2016, 17:37:49 UTC
d3cbdca Drop error if a Caffe layer references an invalid bottom This should help address the case when a layer is added to manipulate e.g. the label blob. In that case the layer must include a directive like: include { phase: TRAIN } Otherwise Caffe will drop an error during inference. A sanity check is added to DIGITS to catch these errors earlier in the process (i.e. before training). 11 February 2016, 21:17:41 UTC
ada2033 Fix name of ip2_right bias closes #574 11 February 2016, 13:14:42 UTC
17668e3 Merge pull request #571 from lukeyeager/customize-float-snapshot Cast to float (not int) when customizing snapshots 08 February 2016, 18:54:57 UTC
7310dfc Merge pull request #541 from lukeyeager/single-config-file Only look in one location for config files 08 February 2016, 18:50:49 UTC
dfeb185 Cast to float (not int) when customizing snapshots 08 February 2016, 18:19:56 UTC
9e08684 Merge pull request #569 from dongjoon-hyun/fix_illformed_html Fix an ill-formed html file consistently with other html files. 04 February 2016, 22:54:50 UTC
dea205e Fix an ill-formed html file consistently with other html files. `<ul>` tag should be outside of `<p>` tag. This PR fixes `classification/custom_network_explanation.html`. The result is consistent with `generic/customer_network_explanation.html` and others. 04 February 2016, 22:45:02 UTC
04655eb Merge pull request #568 from gheinrich/dev/fix-job-detail-link Fix links to jobs on job details page 04 February 2016, 17:57:46 UTC
2211e54 Fix link to jobs on job details page closes #567 04 February 2016, 14:04:35 UTC
ebfb188 Merge pull request #564 from lukeyeager/add-new-solvers Add RMSprop, AdaDelta and Adam solvers 03 February 2016, 21:21:27 UTC
15cade9 Add new Torch solver types 03 February 2016, 17:54:59 UTC
362ebe9 Add RMSprop, AdaDelta and Adam solvers Disable solvers which aren't supported by the selected framework 03 February 2016, 00:14:13 UTC
ea2a941 Merge pull request #561 from dongjoon-hyun/fix_unmatched_assignment Fix unmatched local variable initialization. 02 February 2016, 21:13:12 UTC
3588f5a Merge pull request #563 from lukeyeager/install-cuda-doc Use echo/tee to create file at /etc/ld.so.conf.d/ 02 February 2016, 19:26:48 UTC
32be9b1 Use echo/tee to create file at /etc/ld.so.conf.d/ 02 February 2016, 18:45:21 UTC
db9729f Merge pull request #558 from lukeyeager/install-cuda-doc Add documentation for installing CUDA 02 February 2016, 18:36:43 UTC
4ee80d1 Use "Deb" when referring to packages in docs 02 February 2016, 18:31:09 UTC
7367bb6 Add documentation for installing CUDA 02 February 2016, 18:29:24 UTC
cb0cba0 Merge pull request #557 from lukeyeager/classification-example-gotchas Address gotchas with the classification example 02 February 2016, 17:42:16 UTC
09b54b0 Merge pull request #562 from lukeyeager/luarocks-lightningmdb Revert "Use last version of lightningmdb wrapper for Torch" 02 February 2016, 17:03:43 UTC
79c3651 According to the comments, declare local variable `v`. 02 February 2016, 16:53:46 UTC
fbd2903 Merge pull request #559 from lukeyeager/classification-example-improvements Improvements to examples/classification/ 01 February 2016, 18:07:49 UTC
66b9b40 Fix unmatched local variable initialization. 01 February 2016, 17:51:25 UTC
4ba871f Merge pull request #560 from kumadasu/fix-broken-link-of-document Fix broken link to UbuntuInstall.md 01 February 2016, 17:45:55 UTC
a8222cc Revert "Use last version of lightningmdb wrapper for Torch" This reverts commit 3afb6ab5017a234a02e47629a27a8bacddded3f7. 01 February 2016, 17:42:49 UTC
e5b05cc Fix broken link to UbuntuInstall.md 31 January 2016, 08:49:30 UTC
abf719b Improvements to examples/classification/ Allow multiple image files Add batch_size 29 January 2016, 22:10:34 UTC
8d9a3b5 Address gotchas with the classification example 29 January 2016, 21:31:44 UTC
1b885fb Merge pull request #552 from gheinrich/dev/regression-model-input-check Make Torch regression example more robust 28 January 2016, 16:27:03 UTC
4ac4680 Merge pull request #551 from lukeyeager/fix-loading-bad-jobs Fix error-handling on loading jobs with no job_id 27 January 2016, 19:32:15 UTC
533f59b Fix error-handling on loading jobs with no job_id 27 January 2016, 18:55:57 UTC
d681946 Merge pull request #550 from gheinrich/dev/torch-multistep-lr-policy Fix Torch handling of multistep LR policy 27 January 2016, 17:15:55 UTC
3c41e05 Fix Torch handling of multistep LR policy fix #547 27 January 2016, 08:47:31 UTC
5c1372c Merge pull request #549 from lukeyeager/fix-multistep Fix multistep learning rate parsing 27 January 2016, 00:39:18 UTC
709d5b1 Merge pull request #548 from lukeyeager/python-layer-multigpu-note Add warning about Python layers and multi-GPU (master) 26 January 2016, 23:49:39 UTC
8962ddd Fix multistep learning rate parsing 26 January 2016, 23:47:04 UTC
2cd401f Add warning about Python layers and multi-GPU 26 January 2016, 23:00:49 UTC
a95b89e Merge pull request #543 from lukeyeager/travis-scripts-without-travis Use Travis scripts outside of Travis more easily 26 January 2016, 21:41:11 UTC
5026722 Make install-caffe script work outside Travis env 26 January 2016, 20:55:52 UTC
381bba9 Remove unnecessary pushd statement 26 January 2016, 20:55:52 UTC
79eb08e Only look in one location for config files Look at digits/digits.cfg Don't look at $HOME/.digits.cfg or /etc/digits.cfg 26 January 2016, 20:55:32 UTC
baa929a Merge pull request #545 from gheinrich/dev/torch-lmdb-package Use last version of lightningmdb wrapper for Torch 26 January 2016, 20:53:59 UTC
3afb6ab Use last version of lightningmdb wrapper for Torch closes #544 26 January 2016, 18:30:52 UTC
07a4697 Merge pull request #542 from lukeyeager/torch-nccl-instructions Install torch.nccl luarocks pkg w/ single command 26 January 2016, 17:37:48 UTC
2af845d Install torch.nccl luarocks pkg w/ single command 26 January 2016, 17:36:50 UTC
e8bfa4d Make Torch regression example more robust Check if `inputShape` field of external parameters is not nil before calculating dimension of input tensor. Set dimension to `1` by default for network visualization. 26 January 2016, 16:14:44 UTC
dc9f827 Merge pull request #538 from gheinrich/dev/bug-533 Re-use all weights when re-training on same dataset 22 January 2016, 18:54:43 UTC
a29ad9a Merge pull request #539 from gheinrich/dev/alexnet-on-more-than-2-gpus Allow standard Alexnet model for Torch to train on more than 2 GPUs 22 January 2016, 18:33:18 UTC
95b9254 Re-use all weights when re-training on same dataset Current behaviour: When a classification model is being re-trained the last `InnerProduct` layer is renamed to allow training on another dataset (with a possibly different number of classes). This implies that the weights of that last layer are discarded. Problem: If the model is being re-trained on the same dataset then initially the model will perform badly as it needs to re-learn the weights of its last `InnerProduct` layer. Solution: Refrain from renaming the last `InnerProduct` layer if the model is being re-trained on the same dataset Note: This applies to Caffe only. closes #533 22 January 2016, 18:18:09 UTC
22461de Mark v3.2-dev Signifies that we're starting development on v3.2 22 January 2016, 17:45:12 UTC
3845aa5 Allow standard Alexnet model for Torch to train on more than 2 GPUs 22 January 2016, 16:07:52 UTC
9718fbe Mark v3.1.0 22 January 2016, 00:07:42 UTC
d4ce486 Merge pull request #537 from lukeyeager/docs-3.1 Update docs for v3.1 22 January 2016, 00:05:52 UTC
92a7c05 Update docs for v3.1 21 January 2016, 23:05:31 UTC
f04e7ba Add links to examples/ in GettingStarted.md 21 January 2016, 23:05:30 UTC
8711181 Merge pull request #534 from gheinrich/dev/bug-532 Allow non-integer step size in visualize_lr() 21 January 2016, 16:54:22 UTC
da06d42 Allow non-integer step size in visualize_lr() closes #532 21 January 2016, 10:09:56 UTC
301b287 Merge pull request #531 from lukeyeager/fix-nginx-redirection Fix nginx redirection to ports other than 80 (master) 20 January 2016, 22:00:42 UTC
7c2ebd9 Fix nginx redirection to ports other than 80 20 January 2016, 20:59:52 UTC
b9bd74d Merge pull request #529 from dongjoon-hyun/add_missing_classmethod_decorator Add a missing `classmethod` decorator to `prompt_message` function. 20 January 2016, 19:55:33 UTC
a3850b8 Add a missing `classmethod` decorator to `prompt_message` function. 20 January 2016, 18:41:37 UTC
f62d624 Merge pull request #500 from gheinrich/dev/fine-tuning-tutorial Fine-tuning tutorial 19 January 2016, 20:41:20 UTC
65f41ef Merge pull request #499 from gheinrich/dev/torch-fine-tuning Torch model fine-tuning 19 January 2016, 20:41:06 UTC
1caa9dd Merge pull request #526 from gheinrich/dev/image-folder-in-inference Allow optional specification of image folder during multiple inference 19 January 2016, 20:40:57 UTC
a788863 Merge pull request #527 from dongjoon-hyun/add_missing_html_tag Add a missing `dd` tag and fix an unmatched `dt` tag 19 January 2016, 20:40:46 UTC
abf81f1 Allow optional specification of image folder during multiple inference closes #504 19 January 2016, 20:04:58 UTC
dba804e Add a missing `dd` tag and fix an unmatched `dt` tag in templates/datasets/images. 19 January 2016, 18:31:10 UTC
3845226 Merge pull request #523 from dongjoon-hyun/use_cls_for_classmethod Use `cls` for classmethod instead of `self`. 19 January 2016, 17:28:15 UTC
1d768cc Merge pull request #525 from gheinrich/dev/fix-import Fix another import bug from #501 19 January 2016, 17:13:00 UTC
56bfae8 Fix another import bug from #501 19 January 2016, 15:32:13 UTC
10ae024 Use `cls` for classmethod instead of `self`. 19 January 2016, 05:21:51 UTC
845973f Merge pull request #522 from gheinrich/dev/weight-init-example Weight initialization example 18 January 2016, 20:42:42 UTC
729f0b7 Torch model fine-tuning 18 January 2016, 20:35:36 UTC
ebd0da7 Merge pull request #498 from IgorX2/master Add option to use multiple pretrained networks 18 January 2016, 18:52:33 UTC
66d07c6 Weight initialization example 18 January 2016, 17:54:35 UTC
5fddcec Merge pull request #519 from gheinrich/dev/siamese-tuto-create-db-fix Siamese DB creation fixes 18 January 2016, 17:34:37 UTC
be42593 Fine-tuning tutorial 18 January 2016, 17:25:14 UTC
1cc36ec Merge pull request #520 from dongjoon-hyun/fix_typos_in_tools Fix typos in tools 18 January 2016, 17:17:24 UTC
b8b03e2 Merge pull request #486 from gheinrich/dev/siamese-tutorial-torch Siamese network tutorial for Torch 18 January 2016, 17:16:39 UTC
f08cfb0 Siamese network tutorial for Torch 18 January 2016, 10:31:39 UTC
5d02951 Fix typos in tools 18 January 2016, 07:25:09 UTC
25eec09 Siamese tutorial create_db mean fix Remove extra channel transpose - already done in _save_image() Fixes one issue reported in #515 17 January 2016, 22:04:56 UTC
5969172 Siamese tutorial DB batch writing Enable batch writing in order to speed up DB creation. fix slowliness issue reported in #515 and #486 17 January 2016, 22:02:24 UTC
a63e129 Add delimiter space stripping to pretrained models 16 January 2016, 16:04:25 UTC
60c0cad Merge pull request #485 from gheinrich/dev/torch-table-outputs Support table of outputs in Torch models 15 January 2016, 23:17:37 UTC
4116b5a Merge pull request #517 from lukeyeager/analyze-without-shape Allow analyze_db tool to read Datums without shape 15 January 2016, 22:42:45 UTC
800cb0f Merge pull request #516 from lukeyeager/stringio-imports Standardize cStringIO/StringIO imports 15 January 2016, 21:51:19 UTC
2d633ee Allow analyze_db tool to read Datums without shape 15 January 2016, 21:03:01 UTC
fa56ee5 Change the way we mock TestLoadImage.test_good_url Less mocking is good. Also I couldn't figure out how to mock StringIO anymore. 15 January 2016, 20:54:50 UTC
787787d Standardize cStringIO/StringIO imports 15 January 2016, 17:38:47 UTC
7b94e80 Merge pull request #507 from lukeyeager/flask-blueprints Use flask blueprints to cleanup routing code 14 January 2016, 20:47:07 UTC
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