Hello,

I have a question about how to read theano profiling results. I am running 
a RNN model, where the gradient is calculated via theano.scan. When I 
profile the code, I can see that the bulk of time is spent on theano.scan. 
Moreover I notice that the type of call is Py rather than C. 

My questions are: 
1. does <type> = Py imply that the code is running as python code? 
2. does this also imply the code is executed on CPU (instead of GPU)?

Thanks,
Haining

Below is results from profiling:

Class
---
<% time> <sum %> <apply time> <time per call> <type> <#call> <#apply> 
<Class name>
  99.3%    99.3%     624.260s       1.90e-01s     Py    3284       2   
theano.scan_module.scan_op.Scan
   0.2%    99.5%       1.237s       1.57e-05s     C    78816      48   
theano.sandbox.cuda.basic_ops.GpuAlloc
   0.2%    99.7%       1.028s       2.02e-05s     C    50902      31   
theano.sandbox.cuda.basic_ops.GpuElemwise
   0.1%    99.7%       0.394s       1.64e-06s     C   239732     146   
...

Ops
---
<% time> <sum %> <apply time> <time per call> <type> <#call> <#apply> <Op 
name>
  87.3%    87.3%     548.530s       3.34e-01s     Py    1642        1   
forall_inplace,gpu,grad_of_scan_fn&grad_of_scan_fn&grad_of_scan_fn&grad_of_scan_fn&grad_of_scan_fn&grad_of_scan_fn&grad_of_scan_fn&grad_of_scan_fn&grad_of_scan_fn&grad_of_scan_fn&grad_of_scan_fn&grad_of_scan_fn}
  12.0%    99.3%      75.730s       4.61e-02s     Py    1642        1   
forall_inplace,gpu,scan_fn&scan_fn&scan_fn&scan_fn}
   0.2%    99.5%       1.237s       1.57e-05s     C     78816       48   

...


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