Hello,
I looked through tutorials and wanted to experiment with nested scan.
However, it seems I cannot figure out how to use just simple scan properly,
despite digging through internet for hours.
Could anyone please give me some pointer?
Thank you.
Below is the code and error message
=============
import theano
import theano.tensor as T
import numpy as np
#linear regression
#data gen
d_set=np.random.uniform(-100.,100.,(50,5)).astype(theano.config.floatX)
w_ans=np.random.uniform(-10.,10,(5,2)).astype(theano.config.floatX)
b1_real=5
b2_real=9
b1=np.random.normal(5.,1.)
b2=np.random.normal(9.,1.)
b=np.asarray([b1,b2]).astype(theano.config.floatX)
#stack bias for addition
tmpb=b
for i in range(d_set.shape[0]-1):
tmpb=np.concatenate((tmpb,b))
tmpb=np.asarray(tmpb)
ansr=np.dot(d_set,w_ans)+b
#symb var init
X=T.fmatrix('X')
Y=T.fmatrix('Y')
x=T.fvector('x')
ans=T.fvector('target')
W=theano.shared(np.zeros((5,2),dtype=theano.config.floatX),'W')
b=theano.shared(np.zeros((1,2),dtype=theano.config.floatX),'b')
model=T.dot(x,W)+b
cost=T.sqr(ans-model).sum()
grad_W=T.grad(cost=cost,wrt=W)
grad_b=T.grad(cost=cost,wrt=b)
W_up=W-(0.00001*grad_W)
b_up=b-(0.00001*grad_b)
updates=[(W,W_up),(b,b_up)]
f=theano.function([x,ans],cost,updates=updates)
'''
def run_epoch(x,y):
for i in xrange(50):
output=f(x[i],y[i])
#print i
if i==49:
print output
for i in xrange(100):
run_epoch(d_set,ansr)
'''
#above worked, now trying to do same with scan, but doesn't work
def run_once(in_X,in_Y):
c=f(in_X,in_Y)
print c
return c
def scan_run_epoch(x,y):
o_val,_=theano.scan(fn=run_once,sequences=[X,Y],n_steps=X.shape[0])
return o_val[-1]
for i in xrange(100):
scan_run_epoch(d_set,ansr)
===============
Using gpu device 0: GeForce GTX 750 Ti (CNMeM is disabled, cuDNN 5103)
Traceback (most recent call last):
File "d:\Lib\theano_test.py", line 73, in <module>
scan_run_epoch(d_set,ansr)
File "d:\Lib\theano_test.py", line 69, in scan_run_epoch
o_val,_=theano.scan(fn=run_once,sequences=[X,Y],n_steps=X.shape[0])
File
"C:\SciSoft\WinPython-64bit-2.7.10.3\python-2.7.10.amd64\lib\site-packages\theano-0.9.0.dev2-py2.7.egg\theano\scan_module\scan.py",
line 761, in scan
condition, outputs, updates = scan_utils.get_updates_and_outputs(fn(*args))
File "d:\Lib\theano_test.py", line 64, in run_once
c=f(in_X,in_Y)
File
"C:\SciSoft\WinPython-64bit-2.7.10.3\python-2.7.10.amd64\lib\site-packages\theano-0.9.0.dev2-py2.7.egg\theano\compile\function_module.py",
line 788, in __call__
allow_downcast=s.allow_downcast)
File
"C:\SciSoft\WinPython-64bit-2.7.10.3\python-2.7.10.amd64\lib\site-packages\theano-0.9.0.dev2-py2.7.egg\theano\tensor\type.py",
line 87, in filter
'Expected an array-like object, but found a Variable: '
TypeError: ('Bad input argument with name "X[t]" to theano function with
name "d:\\Lib\\theano_test.py:48" at index 0 (0-based)', 'Expected an
array-like object, but found a Variable: maybe you are trying to call a
function on a (possibly shared) variable instead of a numeric array?')
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