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Releases: NVIDIA/caffe

NVCaffe 0.17.4

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@drnikolaev drnikolaev released this 09 Jan 06:54

Bug fix release: cuDNN v8, CUDA 11.1, Ubuntu 20.04 etc.

NVCaffe 0.17.3

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@drnikolaev drnikolaev released this 01 May 23:59
  • CUDA 10.1 support
  • SSD improved
  • Bug fixes and performance improvements

NVCaffe 0.17.2

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@drnikolaev drnikolaev released this 03 Nov 20:52

Bug fix release

NVCaffe 0.17.1

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@drnikolaev drnikolaev released this 22 Aug 20:23
  • CUDA 10 compatibility
  • Turing GPU support
  • Multinode support (experimental)
  • TRT integration (experimental)
  • Ubuntu 18.04 compatibility
  • Adaptive scaler for mixed precision training
  • Bug fixes and performance improvements

NVCaffe 0.17.0

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@drnikolaev drnikolaev released this 23 Mar 23:56
60fe2d7
  • SSD Object Detection
  • CuDNN support for Deconvolution
  • Recurrent Networks
  • Bug Fixes
  • Performance improvements

NVCaffe 0.16.6

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@drnikolaev drnikolaev released this 31 Jan 22:51

This release delivers:

  • LARC
  • ImageDataLayer revamp
  • CuDNN support for dilation
  • CPU_ONLY mode removed
  • Snapshotting of last N epochs
  • Multiple fixes and improvements

NVCaffe 0.16.5

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@drnikolaev drnikolaev released this 01 Jan 09:27

01.01.2018 release with major performance, accuracy and memory usage improvements.

NVCaffe 0.16.4

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@drnikolaev drnikolaev released this 03 Sep 19:43

This release brings the following new features, fixes and optimizations:

  • New fast grouping supported by cuDNN v7 is now integrated with NVCaffe.
  • New augmentation algorithms.
  • Convolution workspace management simplified and improved to provide more memory for better algorithms.
  • Stability improvements
  • Performance improvements.
  • Fixed issues #391 #351 (Matlab support is back) #357 (ImageDataLayer deadlock)

NVCaffe 0.16.3

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@drnikolaev drnikolaev released this 30 Jul 06:49

July 2017 release brings cuDNN v7 and Volta Tensor Cores support plus other improvements and bug fixes.

NVCaffe 0.16.2

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@drnikolaev drnikolaev released this 23 Jun 01:06

Enhancements and bug fixes:

  • CUDA 9 support
  • Data Cache & Shuffle
  • Global Gradient Scaling for 16-bit float math support
  • Better Python support and error handling
  • Improved determinism across different number of GPUs
  • Fixed #347 #353 #255