Jay Young yjmade

## cuda_shm.py
#In process 1
import torch
shape = (100000,)
a=torch.rand(shape, device="cuda:0").share_memory_()
deviceId, handle_ptr, size, offset,*_ =a.storage()._share_cuda_()


# in process 2
import numpy as np
import numba.cuda

## demo_faster_rcnn_notebook.ipynb

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                yjmade
                / demo_faster_rcnn_notebook.ipynb
            
            
              Created
              February 17, 2017 04:06
                — forked from bigsnarfdude/demo_faster_rcnn_notebook.ipynb
            
              
                faster rcnn notebook
              
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## README.md

      
              2 files
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                yjmade
                / README.md
            
            
              Created
              December 5, 2016 02:58
            
              
                directory transfer by axel without to compress
              
          
    in the origin server
first install SimpleTornadoServer
pip install SimpleTornadoServer
then generate the manifest of the dir to be download
	#In process 1
	import torch
	shape = (100000,)
	a=torch.rand(shape, device="cuda:0").share_memory_()
	deviceId, handle_ptr, size, offset,*_ =a.storage()._share_cuda_()


	# in process 2
	import numpy as np
	import numba.cuda