| mkdir coco | |
| cd coco | |
| mkdir images | |
| cd images | |
| wget http://images.cocodataset.org/zips/train2017.zip | |
| wget http://images.cocodataset.org/zips/val2017.zip | |
| wget http://images.cocodataset.org/zips/test2017.zip | |
| wget http://images.cocodataset.org/zips/unlabeled2017.zip |
| from keras.models import Model | |
| from keras.layers import Input, Add | |
| from keras.utils import multi_gpu_model | |
| m_in = Input( shape=(1,) ) | |
| m_out1 = Add()([m_in,m_in]) | |
| m_out2 = m_in | |
| m = Model( m_in, [m_out1,m_out2] ) | |
| x = Input( shape=(1,) ) |
| { | |
| tokens=[ | |
| space='regexp:\s+' | |
| identifier='regexp:[a-zA-Z][a-zA-Z0-9_]*' | |
| integer-constant='regexp:\d+' | |
| character-constant='regexp:[a-zA-Z]' | |
| floating-constant='regexp:[+-]?([0-9]*[.])?[0-9]+f' | |
| enumeration-constant='regexp:[a-zA-Z][a-zA-Z0-9_]*' // Same as identifier | |
| ] |
List of desktop Nvidia GPUS ordered by CUDA core count
I created it for those who use Neural Style
Guys, please add your hardware setups, neural-style configs and results in comments!
| GPU | CUDA cores | Memory | Processor frequency |
|---|---|---|---|
| GeForce GTX TITAN Z | 5760 | 12 GB | 705 / 876 |
