traceback.py

............/home/rizar/Dist/theano/theano/scan_module/scan_perform_ext.py:133: RuntimeWarning: numpy.ndarray size changed, may indicate binary incompatibility
  from scan_perform.scan_perform import *
...ERROR (theano.gof.opt): SeqOptimizer apply <theano.gof.opt.EquilibriumOptimizer object at 0x4ac9c50>
ERROR (theano.gof.opt): Traceback:
ERROR (theano.gof.opt): Traceback (most recent call last):
  File "/home/rizar/Dist/theano/theano/gof/opt.py", line 195, in apply
    sub_prof = optimizer.optimize(fgraph)
  File "/home/rizar/Dist/theano/theano/gof/opt.py", line 81, in optimize
    ret = self.apply(fgraph, *args, **kwargs)
  File "/home/rizar/Dist/theano/theano/gof/opt.py", line 1693, in apply
    gopt.apply(fgraph)
  File "/home/rizar/Dist/theano/theano/scan_module/scan_opt.py", line 1142, in apply
    self.process_node(fgraph, node)
  File "/home/rizar/Dist/theano/theano/scan_module/scan_opt.py", line 1011, in process_node
    nw_input = scan_utils.expand(_nw_input, nw_steps)
  File "/home/rizar/Dist/theano/theano/scan_module/scan_utils.py", line 372, in expand
    zeros_shape = [size + shapes[0]] + shapes[1:]
IndexError: list index out of range

E
======================================================================
ERROR: test_seqgen.test_sequence_generator
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/home/rizar/LISA/pyhog6/blocks/blocks/tests/test_seqgen.py", line 50, in test_sequence_generator
    n_steps=n_steps)]
  File "/home/rizar/LISA/pyhog6/blocks/blocks/bricks.py", line 258, in call_wrapper
    return self(brick, *args, **kwargs)
  File "/home/rizar/LISA/pyhog6/blocks/blocks/bricks.py", line 282, in __call__
    outputs = func(self, brick, *inputs, **kwargs)
  File "/home/rizar/LISA/pyhog6/blocks/blocks/bricks.py", line 987, in recurrent_apply
    go_backwards=reverse)
  File "/home/rizar/Dist/theano/theano/scan_module/scan.py", line 1007, in scan
    scan_outs = local_op(*scan_inputs)
  File "/home/rizar/Dist/theano/theano/gof/op.py", line 492, in __call__
    node = self.make_node(*inputs, **kwargs)
  File "/home/rizar/Dist/theano/theano/scan_module/scan_op.py", line 338, in make_node
    outer_sitsot = format(_outer_sitsot, as_var=inner_sitsot)
  File "/home/rizar/Dist/theano/theano/scan_module/scan_op.py", line 239, in format
    rval = tmp.filter_variable(rval)
  File "/home/rizar/Dist/theano/theano/tensor/type.py", line 206, in filter_variable
    self=self)
TypeError: Cannot convert Type TensorType(float64, (False, True, True)) (of Variable IncSubtensor{Set;:int64:}.0) into Type TensorType(float64, (False, False, True)). You can try to manually convert IncSubtensor{Set;:int64:}.0 into a TensorType(float64, (False, False, True)).
-------------------- >> begin captured logging << --------------------
theano.gof.opt: ERROR: SeqOptimizer apply <theano.gof.opt.EquilibriumOptimizer object at 0x4ac9c50>
theano.gof.opt: ERROR: Traceback:
theano.gof.opt: ERROR: Traceback (most recent call last):
  File "/home/rizar/Dist/theano/theano/gof/opt.py", line 195, in apply
    sub_prof = optimizer.optimize(fgraph)
  File "/home/rizar/Dist/theano/theano/gof/opt.py", line 81, in optimize
    ret = self.apply(fgraph, *args, **kwargs)
  File "/home/rizar/Dist/theano/theano/gof/opt.py", line 1693, in apply
    gopt.apply(fgraph)
  File "/home/rizar/Dist/theano/theano/scan_module/scan_opt.py", line 1142, in apply
    self.process_node(fgraph, node)
  File "/home/rizar/Dist/theano/theano/scan_module/scan_opt.py", line 1011, in process_node
    nw_input = scan_utils.expand(_nw_input, nw_steps)
  File "/home/rizar/Dist/theano/theano/scan_module/scan_utils.py", line 372, in expand
    zeros_shape = [size + shapes[0]] + shapes[1:]
IndexError: list index out of range

--------------------- >> end captured logging << ---------------------

----------------------------------------------------------------------
Ran 16 tests in 13.705s

FAILED (errors=1)