Devbox 2 0

Devbox 2 0

DIGITS DEVBOX Release Notes1. AbstractThe NVIDIA® DIGITS DevBox Software Image is tuned and optimized to deliver maximum performance of the deep learning frameworks on the DIGITS DevBox system, built and shipped by NVIDIA® Corporation. 
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 This section lists the changes in the NVIDIA® DIGITS™ DevBox software, Refresh 3 (May 2017): 
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NVIDIA DIGITS Software updated to version 5.0
 NVIDIA Linux Display Driver updated to version 375.26 
 NVIDIA CUDA toolkit updated to CUDA 8.0.61 
 NVIDIA cuDNN updated to cuDNN v5 (version 5.1.10) 
NVIDIA Caffe updated to version 0.15.13 https://github.com/NVIDIA/caffe/releases/tag/v0.15.13
NVIDIA Torch7 is updated to version 0.9.99
 Theano is updated to version 0.9.0 
See the DIGITS DevBox Update Guide for instructions on how to perfrom an over-the-network update. 
3. Updates in Refresh 2 (Feb 2016) This section lists the changes in the NVIDIA DIGITS DevBox software, Refresh 2 (Sept 2016): 
NVIDIA DIGITS Software updated to version 3.0.0-1
NVIDIA cuDNN library updated to libcuDNN v4 (version 4.0.7)
NVIDIA Caffe updated to version 0.14.2-1 https://github.com/NVIDIA/caffe/releases/tag/v0.14.2
NVIDIA Torch7 is updated to version 0.9.92

4. Updates in Refresh 1 (Sept 2015) This section lists the changes in the NVIDIA DIGITS DevBox software, Refresh 1 (Sept 2015): 
NVIDIA DIGITS Software updated to version 2.0
NVIDIA Linux Display Driver updated to version 352.41
NVIDIA CUDA toolkit updated to CUDA 7.5
NVIDIA cuDNN updated to cuDNN v3 (version 7.0.64)
Caffe updated to version 0.13.1 https://github.com/NVIDIA/caffe/releases/tag/v0.13.1
Theano updated to version 0.7.1 https://github.com/Theano/Theano/releases/tag/rel-0.7.1a1
Torch is updated: https://github.com/torch/distro/tree/master/extra and https://github.com/torch/nn/tree/getParamsByDevice, with cuDNN v3 integration from https://github.com/soumith/cudnn.torch
In-the-Box Software Components This section provides a list of all software components included in the in-the-box package with the associated installation locations: 
Ubuntu 14.04.2 http://releases.ubuntu.com/14.04/ from Canonical Ltd. Ubuntu and Canonical are registered trademarks of Canonical Ltd. 
NVIDIA Linux Display Driver version 346.63.
NVIDIA CUDA toolkit versions 7.0 and 6.5. Production toolkit release notes can be found at: http://docs.nvidia.com/cuda/index.html The CUDA toolkits are installed under /usr/local/cuda-7.0/ and /usr/local/cuda-6.5/ folders. 
NVIDIA cuDNN v2 production (version 6.5.48) GPU-accelerated library of primitives for deep neural networks.
NVIDIA DIGITS which is an interactive environment for training, evaluating, and experimenting with neural networks. Version 1.0.3 is installed under /usr/share/digits, with a web interface accessible at http://localhost. The packaged version of DIGITS is from: https://github.com/NVIDIA/DIGITS/releases/tag/v1.0.3
Caffe is installed under /usr/bin and the Caffe python interface is under /usr/lib/python2.7/dist-packages. This installation of Caffe is built from source at: https://github.com/NVIDIA/caffe/releases/tag/v0.10.0
Torch is installed system-wide, with the Torch Lua modules under /usr/local. Torch is packaged from the following commit: https://github.com/torch/distro/commit/e0c565120622f99ef6e1ca7fccca66cfe2da34fc
Theano 0.7.0 is installed under /usr/lib/python2.7/dist-packages. The packaged Theano is from https://pypi.python.org/pypi/Theano/0.7.0
BIDMach version 1.0.0 is installed under /usr/share/bidmach and the `bidmach` helper script is located in /usr/bin. The packaged BIDMach is from the 1.0.0 release tarball at: http://bid2.berkeley.edu/bid-data-project/download/
6. Known IssuesAt the time of the release no known defects have been found that affect the use of this software. 
AcknowledgementsMNIST DATA: The DIGITS tutorial uses the 'MNIST' dataset from: http://yann.lecun.com/exdb/mnist/ Habit tracker android.

4. Updates in Refresh 1 (Sept 2015) This section lists the changes in the NVIDIA DIGITS DevBox software, Refresh 1 (Sept 2015): 
NVIDIA DIGITS Software updated to version 2.0
NVIDIA Linux Display Driver updated to version 352.41
NVIDIA CUDA toolkit updated to CUDA 7.5
NVIDIA cuDNN updated to cuDNN v3 (version 7.0.64)
Caffe updated to version 0.13.1 https://github.com/NVIDIA/caffe/releases/tag/v0.13.1
Theano updated to version 0.7.1 https://github.com/Theano/Theano/releases/tag/rel-0.7.1a1
Torch is updated: https://github.com/torch/distro/tree/master/extra and https://github.com/torch/nn/tree/getParamsByDevice, with cuDNN v3 integration from https://github.com/soumith/cudnn.torch
In-the-Box Software Components This section provides a list of all software components included in the in-the-box package with the associated installation locations: 
Ubuntu 14.04.2 http://releases.ubuntu.com/14.04/ from Canonical Ltd. Ubuntu and Canonical are registered trademarks of Canonical Ltd. 
NVIDIA Linux Display Driver version 346.63.
NVIDIA CUDA toolkit versions 7.0 and 6.5. Production toolkit release notes can be found at: http://docs.nvidia.com/cuda/index.html The CUDA toolkits are installed under /usr/local/cuda-7.0/ and /usr/local/cuda-6.5/ folders. 
NVIDIA cuDNN v2 production (version 6.5.48) GPU-accelerated library of primitives for deep neural networks.
NVIDIA DIGITS which is an interactive environment for training, evaluating, and experimenting with neural networks. Version 1.0.3 is installed under /usr/share/digits, with a web interface accessible at http://localhost. The packaged version of DIGITS is from: https://github.com/NVIDIA/DIGITS/releases/tag/v1.0.3
Caffe is installed under /usr/bin and the Caffe python interface is under /usr/lib/python2.7/dist-packages. This installation of Caffe is built from source at: https://github.com/NVIDIA/caffe/releases/tag/v0.10.0
Torch is installed system-wide, with the Torch Lua modules under /usr/local. Torch is packaged from the following commit: https://github.com/torch/distro/commit/e0c565120622f99ef6e1ca7fccca66cfe2da34fc
Theano 0.7.0 is installed under /usr/lib/python2.7/dist-packages. The packaged Theano is from https://pypi.python.org/pypi/Theano/0.7.0
BIDMach version 1.0.0 is installed under /usr/share/bidmach and the `bidmach` helper script is located in /usr/bin. The packaged BIDMach is from the 1.0.0 release tarball at: http://bid2.berkeley.edu/bid-data-project/download/
6. Known IssuesAt the time of the release no known defects have been found that affect the use of this software. 
AcknowledgementsMNIST DATA: The DIGITS tutorial uses the 'MNIST' dataset from: http://yann.lecun.com/exdb/mnist/ Habit tracker android.
 The original MNIST dataset was transformed by computing pixel_value = 255 - pixel_value to convert from black background to white background, and encoded in PNG format. During training in DIGITS, each pixel is normalized as follows: normalized_pixel = (original_pixel - m)/255 where m is the global mean across all the pixels in the training set, and 255 is the range of pixel values. 
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