<https://lh3.googleusercontent.com/-ukMswfeSQkI/WA8nWuqfe6I/AAAAAAAAAYE/A4a99ROSrw0twSELiZzxiuPbjv5cz2pbwCLcB/s1600/Screen%2BShot%2B2016-10-25%2Bat%2B10.34.34.png>
<https://lh3.googleusercontent.com/-gVilakFH7o8/WA8m_S0GwFI/AAAAAAAAAYA/xX3f-7ubL5k_chOMtpLKmtY-YJyN003RQCLcB/s1600/Screen%2BShot%2B2016-10-25%2Bat%2B10.27.37.png>
<https://lh3.googleusercontent.com/-MAhiwbUKS38/WA8mDT08o4I/AAAAAAAAAX4/_tOGQI3aTOQdR17iVlzSgyVwidhk1dr-wCLcB/s1600/Screen%2BShot%2B2016-10-25%2Bat%2B10.27.37.png>
Hi everyone, I'm trying to run some code entirely on the GPU, but when I
print the symbolic graph it seems some operations are still happening on
the CPU are they are using int64 values (which I guess need the CPU as GPU
supports just int32. In particular, it seems that the sub-tensor operation
that goes then into the scan.
So I have two questions (related to the two images above):
1) How can I make sure I use the sub-tensor operation with int32 and only
shared variables?
2) If the scan node says for{CPU, scan_fn} does that mean I'm still using
mainly the CPU?
Thanks so much!
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