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Published September 21, 2016 | Version v1.6.0
Software Open

NervanaSystems/neon: Faster RCNN, Sequence to Sequence, Reshape layer, updated pip requirements

Creators

  • 1. Nervana Systems
  • 2. @NervanaSystems
  • 3. Nervana
  • 4. OpenAI
  • 5. University of Southern California
  • 6. Facebook
  • 7. Imperial College London
  • 8. Student
  • 9. Neuroschemata
  • 10. Hortonworks
  • 11. The University of Texas at Austin
  • 12. Numenta

Description

  • Faster RCNN model
  • Sequence to Sequence container and char_rae recurrent autoencoder model
  • Reshape Layer that reshapes the input [#221]
  • Pip requirements in requirements.txt updated to latest versions [#289]
  • Remove deprecated data loaders and update docs
  • Use NEON_DATA_CACHE_DIR envvar as archive dir to store DataLoader ingested data
  • Eliminate type conversion for FP16 for CUDA compute capability >= 5.2
  • Use GEMV kernels for batch size 1
  • Alter delta buffers for nesting of merge-broadcast layers
  • Support for ncloud real-time logging
  • Add fast_style Makefile target
  • Fix Python 3 builds on Ubuntu 16.04
  • Run setup.py for sysinstall to generate version.py [#282]
  • Fix broken link in mnist docs
  • Fix conv/deconv tests for CPU execution and fix i32 data type
  • Fix for average pooling with batch size 1
  • Change default scale_min to allow random cropping if omitted
  • Fix yaml loading
  • Fix bug with image resize during injest
  • Update references to the ModelZoo and neon examples to their new locations

Files

NervanaSystems/neon-v1.6.0.zip

Files (3.2 MB)

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Additional details

Related works

Is supplement to
https://github.com/NervanaSystems/neon/tree/v1.6.0 (URL)