bayerj

from theano import tensor as T
import theano
import numpy as np

x = T.tensor3('')
xf = x.flatten()
xr1 = x.reshape((x.shape[0] * x.shape[1], x.shape[-1]))
xr2 = x.reshape((-1, x.shape[-1]))

ff = theano.function([x], xf)

bayerj

======================================================================
ERROR: learn.test_cnn.test_cnn_fit
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/Users/bayerj/anaconda/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/Users/bayerj/devel/breze/tests/learn/test_cnn.py", line 52, in test_cnn_fit
    m.fit(X, Z)
  File "/Users/bayerj/devel/breze/breze/learn/base.py", line 235, in fit
    for i, info in enumerate(itr):

bayerj

Error compiling Cython file:
------------------------------------------------------------
...
    (H5E_ARGS, H5E_BADTYPE):        ValueError, # Invalid location in file
    (H5E_REFERENCE, H5E_CANTINIT):  ValueError, # Dereferencing invalid ref
  }

cdef struct err_data_t:
    H5E_error_t err

bayerj

import theano
import theano.tensor as T
import theano.sandbox.cuda as cuda
from theano.printing import pydotprint
from theano.misc import pycuda_utils
from pycuda.gpuarray import zeros
import pycuda.driver as drv
import pycuda.autoinit
from pycuda.compiler import SourceModule

bayerj

import theano, theano.tensor as T
from theano.tensor.shared_randomstreams import RandomStreams


def theano_expr_bfs(expr):
    stack = [expr]
    while True:
        if not stack:
            break
        expr = stack.pop()

bayerj

dot = (target[:, :, 3:7] * prediction[:, :, 6:10]).sum(axis=2).dimshuffle(0, 1, 'x')
dot = T.clip(dot, -.99, .99)
angle_loss = T.arccos(dot)
return  residuals ** 2 + c * angle_loss

bayerj

numpydoc>=0.4

bayerj

Traceback (most recent call last):
  File "theanorngclone.py", line 12, in <module>
    f = theano.function([x_sub], samples_sub)
  File "/Users/bayerj/devel/Theano/theano/compile/function.py", line 222, in function
    profile=profile)
  File "/Users/bayerj/devel/Theano/theano/compile/pfunc.py", line 506, in pfunc
    on_unused_input=on_unused_input)
  File "/Users/bayerj/devel/Theano/theano/compile/function_module.py", line 1298, in orig_function
    on_unused_input=on_unused_input).create(
  File "/Users/bayerj/devel/Theano/theano/compile/function_module.py", line 994, in __init__

bayerj

def q_mult(q1, q2):
    w1, x1, y1, z1 = q1[:, 0], q1[:, 1], q1[:, 2], q1[:, 3]
    w2, x2, y2, z2 = q2[:, 0], q2[:, 1], q2[:, 2], q2[:, 3]
    w = w1 * w2 - x1 * x2 - y1 * y2 - z1 * z2
    x = w1 * x2 + x1 * w2 + y1 * z2 - z1 * y2
    y = w1 * y2 + y1 * w2 + z1 * x2 - x1 * z2
    z = w1 * z2 + z1 * w2 + x1 * y2 - y1 * x2
    
    if isinstance(q1, np.ndarray):
        w = w[:, np.newaxis]

bayerj

import theano
import theano.tensor as T
import gnumpy
import theano.misc.gnumpy_utils as gput

g = gnumpy.zeros((1, 2))
g += np.array([[2, 1]])

x = T.matrix()
expr = 2 * x