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Releases: NVIDIA/DIGITS

Update to v6.1.1

10 Apr 17:02
7a3d5f0
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Since 6.1.0

Bugfixes

  • Update for new TF API (#2014)
  • Update CI scripts to add some new deps to Caffe build (#1993)
  • Update import and API for pydicom 1.0
  • Fix label distribution and its view page (#1916)

DIGITS 6.1.0

12 Dec 19:19
d823b17
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Since 6.0

New Features

  • Added functionality to integrate DIGITS with S3 Endpoints (#1868)
  • Added publish to inference server on classification workflow (#1906)

Bugfixes

  • Fix frozen graph issue (#1907)
  • Fix 404 error for /datasets/inference-form/... from #1888 (#1889)
  • Remove timeout assertion (#1859)

Changes

  • Various updates on document

Known Issues

  • Out of memory error in the semantic-segmentation example when training the FCN AlexNet model on Tesla P100.

DIGITS 6.0

30 Aug 20:38
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See release notes for the 6.0 release candidate.

Since 6.0 RC1

New Features

  • Added support for URL prefix (#1803)

Bugfixes

  • Fixed loading/saving tensorflow models (#1794)

Changes

  • Various updates on document

Known Issues

  • Visualization for Caffe models does not currently work. (#1738)

DIGITS 6 RC

25 Jul 21:06
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DIGITS 6 RC Pre-release
Pre-release

New Features

  • Added TensorFlow backend for DIGITS as an alternate to Caffe and Torch (#1714)
  • Added examples and support for GANs (#1714)
  • Added support for text classification (#1025)
  • Added more viewing options for image segmentation (#1188)

Changes

  • HTML embedding now defaults to PNG (#1270)
  • Images that causes exceptions will now show the file name (#1636)

Bugfixes

  • Fixed softmax visualization issue with scaled images (#1647)
  • Documentation was changed for model store with official pictures (#1650)
  • Fixed Caffe search path in Windows (#1244)
  • Fixed image file entry in Sunnybrook inference form (#1237)
  • Fixed bugs when visiting nested image folder (#1477)

Known Issues

  • Visualization for Caffe models does not currently work. (#1738)

DIGITS 5.0

02 Feb 00:45
v5.0.0
c6330f6
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See release notes for the 5.0 release candidate.

New since 5.0 RC

  • Enable the DIGITS Model Store (#1308)
  • Fix calculations related to batch accumulation for Caffe (#1307)
  • Various documentation updates

DIGITS 5.0 RC

15 Oct 00:12
v5.0.0-rc.1
d14960f
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DIGITS 5.0 RC Pre-release
Pre-release

279 commits since v4.0.0

New Features

  • Import pretrained models from a model "store" (#896, #1077, #1161)
  • Support for image segmentation workflows (#830, #961, #1131)
  • Online data augmentation with Torch (#777)
  • Show CPU and system memory utilization during training (#800)
  • Improved bounding-box visualizations for object detection models (#869)
  • Create groups of jobs for easier display on the home page (#734)
  • Reuse data extensions for inference (#1024)
  • Support for plugin extensions (#1093, #927, #947)
  • Add documentation for the REST API (#964)

Changes

  • Use environment variables for configuration instead of a file (#1091)
  • Remove digits-server and dependency on gunicorn (#1127)
  • digits-devserver is now just a small shell script instead of a Python script (#1121)
  • New design for Torch multi-GPU training (#828)
  • Add Ubuntu 16.04 support by updating dependency versions (#965)
  • Allow testing of only Caffe or only Torch with the testsuite (#1143)
  • Return more info when downloading a model tarball or json (#891)

Bugfixes

  • Fix bug with Torch and CUDA_VISIBLE_DEVICES (#1130)
  • Fix issues with browsers returning incorrectly cached css and js files (#904)

Known Issues

  • Training goes on longer than required when using batch accumulation (#1240)

DIGITS 4.0

19 Jul 01:16
v4.0.0
20362c2
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529 commits since v3.0.0

New Features

  • Add support for object-detection networks like DetectNet (#735) with documentation (#803)
  • Parameter sweep over batch size and learning rate (#708)
  • Show accuracy confusion matrix for "Classify Many" (#608)
  • Test a model with an LMDB (#638)
  • Add basic login functionality (#463)

Changes

  • Major revamp of home page (#728, #790)
  • Allow use of BVLC/caffe (#769)
  • Run inference jobs in separate processes (#573)

Bugfixes

  • Made device_query compatible with CUDA 8.0 (#890)

For more information, see the release notes for v3.1, v3.2, v3.3, and the 4.0 RC.

DIGITS 4.0 RC

19 Jul 01:07
v4.0.0-rc.2
a928906
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DIGITS 4.0 RC Pre-release
Pre-release

211 commits since v3.3.0

New Features

  • Add support for object-detection networks like DetectNet (#735) with documentation (#803)
  • Parameter sweep over batch size and learning rate (#708)
  • Add plugin systems for data formats (#731) and inference visualizations (#756)
  • Expose Caffe's iter_size solver option (#744)
  • Add syntax highlighting when editing custom networks (#751)
  • View list of related jobs (#767)
  • Explore generic datasets (#822)
  • Add example for doing text classification with Torch (#684)

Changes

  • Major revamp of home page (#728, #790)
  • Allow use of BVLC/caffe (#769)
  • New Torch multi-GPU programming model (#732)
  • Make small improvements to standard networks (#733, #749)
  • Set weight_decay to lr / 100 (#792)
  • Make major improvements to TravisCI build system (#766, #788)

DIGITS 3.3

25 Apr 23:52
v3.3.0
5233613
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DIGITS 3.3 Pre-release
Pre-release

New Features

  • Show accuracy confusion matrix for "Classify Many" (#608)
  • Test a model with an LMDB (#638)
  • Use layer stages in network descriptions for full control over train/val/deploy networks (#628)
  • Option to limit number of images to use for "Classify/Test Many" (#592)
  • Better in-app documentation for Python layers (#651)

Changes

  • Run inference jobs in separate processes (#573)
  • Path autocompletion returns sorted list (#621)

Bugfixes

  • Fixed UI bugs when using Safari (#702)
  • Fixed file serving for files with absolute paths (#586)
  • Fixed some UI bugs related to permissions (#594, #596)
  • Various torch-related bugfixes (#661, #663, #681, #686, #699)
  • Windows compatibility fixes (#698)

DIGITS 3.2

18 Feb 00:49
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DIGITS 3.2 Pre-release
Pre-release

New Features

  • Add support for new solvers - RMSprop, AdaDelta and Adam (#564)
  • AlexNet for Torch now works for multiple GPUs (#539)
  • New documentation for installing CUDA toolkit, drivers, etc. (#558)

Changes

  • Only look in one location for config files (#541)
  • Re-use weights when retraining a model on the same dataset (#538)
  • Functional improvements and documentation changes for examples/classification (#559, #557, #579, #582)
  • Better error-checking for caffe networks referencing invalid layer "bottoms" (#576)

Bugfixes

  • Fixes for multistep learning rate (#549, #550)