Advantages Of BFloat16 For AI Inference
Running theano with float16 + tensor core operations
FP64, FP32, FP16, BFLOAT16, TF32, and other members of the ZOO | by Grigory Sapunov | Medium
PDF) Theano: A Python framework for fast computation of mathematical expressions
félteke Mus Üdvözlet theano extend gpu operator A nevében tüsszent Alice
félteke Mus Üdvözlet theano extend gpu operator A nevében tüsszent Alice
félteke Mus Üdvözlet theano extend gpu operator A nevében tüsszent Alice
New Features in CUDA 7.5 | NVIDIA Technical Blog
Train With Mixed Precision :: NVIDIA Deep Learning Performance Documentation
Float16 status/follow-up · Issue #2908 · Theano/Theano · GitHub
Theano: A Python framework for fast computation of mathematical expressions | DeepAI
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning | DeepAI
félteke Mus Üdvözlet theano extend gpu operator A nevében tüsszent Alice
Mixed-Precision Programming with CUDA 8 | NVIDIA Technical Blog
félteke Mus Üdvözlet theano extend gpu operator A nevében tüsszent Alice
Creating a new Op: Python implementation — Theano 1.1.2+29.g8b2825658.dirty documentation
Accelerating AI Inference Workloads with NVIDIA A30 GPU | NVIDIA Technical Blog
Float16 status/follow-up · Issue #2908 · Theano/Theano · GitHub
Train With Mixed Precision :: NVIDIA Deep Learning Performance Documentation
Theano/configdefaults.py at master · Theano/Theano · GitHub
Train With Mixed Precision :: NVIDIA Deep Learning Performance Documentation
lower precision computation floatX = float16, why not adding intX param in theano.config ? · Issue #5868 · Theano/Theano · GitHub
