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NervanaSystems Neon Versions
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Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
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v2.6.0
6 years ago
Further optimized MKL backend performance for SSD inference
Updated MKLML to version 20171227
Enabled neon install with MKLML on Mac OSX
v2.5.0
6 years ago
Optimized SSD MKL backend performance (~3X boost version over version)
Bumped aeon version to v1.3.0
Fixed inference performance issue of MKL batchnorm
Fixed batch prediction issue for gpu backend
Enabled subset_pct for MNIST_DCGAN example
Updated "make clean" to clean up mkl artifacts
Added dockerfile for IA mkl
v2.4.0
6 years ago
Enabled pip install through pypi
Updated MKLML to version 20171007 with performance improvement of ~3X for mnist datalayer/nondatalayer and ~1.6X for DCGAN/WGAN datalayer
Updated resnet model to optimize performance with MKLML 20171007
Updated Alexnet weight file and fixed bug for deep dream
Fixed faster-rcnn inference model loading issue
Added data_loading time measurement and enabled GAN networks benchmarking
Updated to Aeon version 1.2.0
Enabled neon build with mklEngine on Windows systems
v2.3.0
6 years ago
Optimized DeepSpeech2 MKL backend performance (~7X improvement over the CPU backend)
Fused convolution and bias layer which significantly boosted AlexNet and VGG performance on Intel architectures with MKL backend
Made SSD and Faster-RNN use VGG weight files in new format
Fixed use of reset_cells hyperparameter
Fixed MKL backend bug for GAN and Faster-RCNN models
v2.2.0
6 years ago
Update MKLML version 20170908 that fixes a bug related to data conversions
Add SSD example for bounding box object detection that works for both GPU and MKL backend
Add DeepSpeech2 MKL backend optimization that features ~3X improvement
Update aeon to 1.0.0 including new version of manifest (doc/source/loading_data.rst#aeon-dataloader)
Add CHWD Support for Batch Normalization in mkl backend
Modify ResNet-50 model's last layer to match the original ResNet-50 model paper
Enable Seq2Seq testing and benchmarking
v2.1.0
6 years ago
Set MKL backend (-b mkl) as the default CPU backend on Linux (use -b cpu to specify original CPU backend)
Update MKLML version 20170720 (AVX512 code paths enabled by default and conversion optimizations)
Simplify ResNet example
Makefiles now check for virtualenv and pkg-config (NervanaSystems/neon#383)
Fix Deep Speech2 model on MKL backend
Fix MKL installation for "make sysinstall"
v2.0.0
6 years ago
Added support for MKL backend (-b mkl) on Linux, which boosts neon CPU performance significantly
Added WGAN model examples for LSUN and MNIST data
Enabled WGAN and DCGAN model examples for Python3
Added fix (using file locking) to prevent race conditions running multiple jobs on the same machine with multiple GPUs
Added functionality to display some information about hardware, OS and model used
Updated appdirs to 1.4.3 to be compatibile on Centos 7.3 for appliance
v1.9.0
7 years ago
Add support for 3D deconvolution
Generative Adversarial Networks (GAN) implementation, and MNIST DCGAN example, following GoodFellow 2014 (
http://arXiv.org/abs/1406.2661
)
Implement Wasserstein GAN cost function and make associated API changes for GAN models
Add a new benchmarking script with per-layer timings
Add weight clipping for GDM, RMSProp, Adagrad, Adadelta and Adam optimizers
Make multicost an explicit choice in mnist_branch.py example
Enable NMS kernels to work with normalized boxes and offset
Fix missing links in api.rst [#366]
Fix docstring for --datatype option to neon [#367]
Fix perl shebang in maxas.py and allow for build with numpy 1.12 [#356]
Replace os.path.join for Windows interoperability [#351]
Update aeon to 0.2.7 to fix a seg fault on termination
v1.8.2
7 years ago
Make the whale calls example stable and shuffle dataset before splitting into subsets
Reduce default depth in cifar_msra example to 2
Fix the formatting of the conv layer description
Fix documentation error in the video-c3d example
Support greyscale videos
v1.8.1
7 years ago
Bug fix: Add dilation to object dict and assign defaults to dil_w = dil_h = 1 [#335, #336]
Bug fix: Prevent GPU backend from ignoring non-zero slope in Rectlinclip and change default slope to 0
Bug fix: Nesterov momentum was updating velocities incorrectly
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