Float16 status/follow-up · Issue #2908 · Theano/Theano · GitHub
Mixed-Precision Programming with CUDA 8 | NVIDIA Technical Blog
Video Series: Mixed-Precision Training Techniques Using Tensor Cores for Deep Learning | NVIDIA Technical Blog
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FP64, FP32, FP16, BFLOAT16, TF32, and other members of the ZOO | by Grigory Sapunov | Medium
NVIDIA DGX-1 with Tesla V100 System Architecture White paper
lower precision computation floatX = float16, why not adding intX param in theano.config ? · Issue #5868 · Theano/Theano · GitHub
Creating a new Op: Python implementation — Theano 1.1.2+29.g8b2825658.dirty documentation
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PDF) Theano: A Python framework for fast computation of mathematical expressions
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Running theano with float16 + tensor core operations
Theano: A Python framework for fast computation of mathematical expressions | DeepAI
Using Tensor Cores for Mixed-Precision Scientific Computing | NVIDIA Technical Blog
Advantages Of BFloat16 For AI Inference
Train With Mixed Precision :: NVIDIA Deep Learning Performance Documentation
Float16 | Apache MXNet
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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
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning | DeepAI
Train With Mixed Precision :: NVIDIA Deep Learning Performance Documentation
