bayerj

In [87]: A, B = np.ones((1, 2)), np.random.random((3, 3, 1))

In [88]: B
Out[88]: 
array([[[ 0.02738198],
        [ 0.23332334],
        [ 0.12513209]],

       [[ 0.48753864],
        [ 0.45401342],

bayerj

#! /usr/bin/env python
import numpy
import time

try:
   import numpy.core._dotblas
   print 'Using ATLAS:'
except ImportError:
   print 'No ATLAS:'
print numpy.__version__

bayerj

#! /usr/bin/env python
import numpy
import time
import sys

N = int(sys.argv[1])

try:
   import numpy.core._dotblas
   print 'Using ATLAS:'

bayerj

X = predicted position 
Z = true position
lds = our learned lds on [X, Z]

# Get marginal LDS
marginal_lds = marginal(lds, (7, 8, 9, 10, 11, 12, 13)) # 

# Compile a function to calculate hidden state given position predictions.
f = marginal_lds.function(['inpt'], ['filtered_means'])

bayerj

import spearmint

exp = spearmint.Experiment()
exp.add_variable('n_hiddens', min=1, max=100, type=int)

for i in range(100):        # Do 100 trials.
  id, args = exp.draw()     # Get a new candidate; id is used as a handle for later pushing back results into the experiment.
  cost = f(args)            # Evaluate objective.
  exp.push(id, cost)        # Push results into the experiment so we get a new candidate based on those results in the next iteration.

bayerj

import theano.tensor as T

x = T.matrix()
c = T.matrix()

s = T.switch(c, x, 0)
l = s.sum()

T.grad(l, x) # Assertion error...

bayerj

from IPython.core.display import Image as image
from PIL import Image

def save_and_display(arr, fname):
    pilimg = Image.fromarray(arr)
    pilimg.save(fname)
    return image(filename=fname, width=600)

bayerj

In [1]: from collections import namedtuple
In [3]: p = namedtuple('p', ['bla'])
In [4]: pp = p(2)
In [5]: pp
Out[5]: p(bla=2)
In [6]: import pickle
In [7]: pickle.dumps(pp)
Out[7]: 'ccopy_reg\n_reconstructor\np0\n(c__main__\np\np1\nc__builtin__\ntuple\np2\n(I2\ntp3\ntp4\nRp5\n.'

bayerj

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-4-f143d352e435> in <module>()
----> 1 filtered = mean_filter(X, 10)

/Users/bayerj/anaconda/lib/python2.7/site-packages/numba/decorators.pyc in __call__(self, *args, **kwargs)
    162                 raise error.NumbaError("Expected %d arguments, got %d" % (
    163                                                         nargs, len(args)))
--> 164             return self.wrapper(self, *args, **kwargs)
    165 

bayerj

tmp ❯❯❯ py importtheano.py
Vendor:  continuumProduct: anacondapro
Message: trial mode expires in 27 days
WARNING (theano.gof.compilelock): Overriding existing lock by dead process '82054' (I am process '82104')
> /Users/bayerj/devel/Theano/theano/gof/cmodule.py(264)dlimport()
-> try:
(Pdb) s
> /Users/bayerj/devel/Theano/theano/gof/cmodule.py(265)dlimport()
-> print module_name
(Pdb) s