Fix imports for Python 3k.

theano/compile/io.py

 """Define `SymbolicInput`, `SymbolicOutput`, `In`, `Out` """
 
 from theano import gof
-from sharedvalue import SharedVariable
+from .sharedvalue import SharedVariable
 
 import logging
 _logger = logging.getLogger("theano.compile.io")

theano/compile/mode.py

@@ -359,13 +359,13 @@ def get_mode(orig_string):
     if string in ['Mode', 'ProfileMode', 'DebugMode']:
         if string == 'DebugMode':
             # need to import later to break circular dependency.
-            from debugmode import DebugMode
+            from .debugmode import DebugMode
             # DebugMode use its own linker.
             ret = DebugMode(optimizer=config.optimizer)
         else:
             # This might be required if the string is 'ProfileMode'
-            from profilemode import ProfileMode  # noqa
-            from profilemode import prof_mode_instance_to_print
+            from .profilemode import ProfileMode  # noqa
+            from .profilemode import prof_mode_instance_to_print
             ret = eval(string +
                        '(linker=config.linker, optimizer=config.optimizer)')
     elif string in predefined_modes:

theano/compile/profilemode.py

@@ -13,7 +13,7 @@ from theano.compile.mode import (Mode, register_mode,
 from theano.configparser import config, AddConfigVar, IntParam, BoolParam
 from theano.compile.function_module import FunctionMaker
 
-from profiling import ProfileStats
+from .profiling import ProfileStats
 
 run_cthunk = None  # Will be imported only when needed.
 import_time = time.time()

theano/gof/cutils.py

@@ -5,7 +5,7 @@ import sys
 from theano.compat import PY3
 from theano.gof.compilelock import get_lock, release_lock
 from theano import config
-import cmodule
+from . import cmodule
 
 # TODO These two lines may be removed in the future, when we are 100% sure
 # noone has an old cutils_ext.so lying around anymore.

theano/gof/destroyhandler.py

@@ -3,12 +3,12 @@ Classes and functions for validating graphs that contain view
 and inplace operations.
 """
 import theano
-import toolbox
-import graph
+from . import toolbox
+from . import graph
 from theano.compat import deque, OrderedDict
 from theano.misc.ordered_set import OrderedSet
 
-from fg import InconsistencyError
+from .fg import InconsistencyError
 
 
 class ProtocolError(Exception):

theano/gof/fg.py

@@ -248,7 +248,7 @@ class FunctionGraph(utils.object2):
     def __import_r__(self, variable, reason):
         global NullType
         if NullType is None:
-            from null_type import NullType
+            from .null_type import NullType
         # Imports the owners of the variables
         if variable.owner and variable.owner not in self.apply_nodes:
                 self.__import__(variable.owner, reason=reason)

theano/gof/lazylinker_c.py

@@ -10,6 +10,7 @@ from theano import config
 from theano.compat import reload
 from theano.gof.compilelock import get_lock, release_lock
 from theano.gof import cmodule
+import imp
 
 _logger = logging.getLogger('theano.gof.lazylinker_c')
 
@@ -27,7 +28,7 @@ def try_import():
 
 def try_reload():
     sys.path[0:0] = [config.compiledir]
-    reload(lazylinker_ext)
+    imp.reload(lazylinker_ext)
     del sys.path[0]
 
 try:

theano/gof/vm.py

@@ -3,7 +3,7 @@ VMs that run Theano graph computations.
 A VM is not actually different from a Linker, we just decided
 VM was a better name at some point.
 """
-import link
+from . import link
 import logging
 import os
 import sys
@@ -661,7 +661,7 @@ class Stack(VM):
 
 
 try:
-    import lazylinker_c
+    from . import lazylinker_c
 
     class CVM(lazylinker_c.CLazyLinker, VM):
 

theano/misc/pycuda_example.py

@@ -31,7 +31,7 @@ from theano.sandbox.cuda.basic_ops import (as_cuda_ndarray_variable,
 from theano.sandbox.cuda.opt import gpu_seqopt
 from theano.tensor.utils import hash_from_dict
 
-import pycuda_init
+from . import pycuda_init
 if not pycuda_init.pycuda_available:
     raise Exception("No pycuda available. You can't load pycuda_example.py")
 

theano/sandbox/cuda/__init__.py

@@ -14,7 +14,7 @@ from theano.gof import EquilibriumDB, SequenceDB
 from theano.gof.cmodule import get_lib_extension
 from theano.gof.compilelock import get_lock, release_lock
 from theano.configparser import config, AddConfigVar, StrParam, BoolParam
-import nvcc_compiler
+from . import nvcc_compiler
 
 # ignore_newtrees is to speed the optimization as this is the pattern
 # we use for optimization. Otherwise, we can iterate 100s of time on

theano/sandbox/gpuarray/type.py

@@ -296,7 +296,7 @@ class GpuArrayType(Type):
 
 class _operators(_tensor_py_operators):
     def _as_TensorVariable(self):
-        from basic_ops import host_from_gpu
+        from .basic_ops import host_from_gpu
         return host_from_gpu(self)
 
     def _as_GpuArrayVariable(self):

theano/sandbox/linalg/__init__.py

-from ops import (cholesky, matrix_inverse, solve,
+from .ops import (cholesky, matrix_inverse, solve,
         diag, extract_diag, alloc_diag,
         det, psd, eig, eigh, eigvalsh,
         trace, spectral_radius_bound)

theano/sandbox/rng_mrg.py

@@ -19,7 +19,7 @@ from theano.tensor import sqrt, log, sin, cos, join, prod
 from theano.compile import optdb
 from theano.gof import local_optimizer
 
-import multinomial
+from . import multinomial
 
 from theano.sandbox.cuda import cuda_available, cuda_enabled, GpuOp
 if cuda_available:

theano/sandbox/scan_module/__init__.py

@@ -38,4 +38,4 @@ __authors__ = ("Razvan Pascanu "
 __copyright__ = "(c) 2010, Universite de Montreal"
 __contact__ = "Razvan Pascanu <r.pascanu@gmail>"
 
-from scan import scan
+from .scan import scan

theano/sandbox/scan_module/scan.py

@@ -53,8 +53,8 @@ from theano import tensor
 from theano.scalar.sharedvar import shared as scalar_shared
 from theano.compile.pfunc import rebuild_collect_shared
 
-import scan_op
-import scan_utils
+from . import scan_op
+from . import scan_utils
 
 # Logging function for sending warning or info
 _logger = logging.getLogger('theano.scan_module.scan')

theano/sandbox/scan_module/tests/test_scan.py

@@ -17,7 +17,7 @@ from theano.compile.pfunc import rebuild_collect_shared
 from theano.tests  import unittest_tools as utt
 from numpy.testing.noseclasses import KnownFailureTest
 
-from test_utils import *
+from .test_utils import *
 import theano.sandbox.scan_module as scan_module
 from theano.sandbox.scan_module.scan_op import ScanOp
 

theano/sandbox/test_multinomial.py

@@ -4,7 +4,7 @@ import numpy
 
 import theano
 from theano import config, function, tensor
-import multinomial
+from . import multinomial
 from theano.compile.mode import get_default_mode, predefined_linkers
 import theano.sandbox.cuda as cuda
 

theano/sandbox/test_scan.py

 import theano
 import numpy
-import scan
+from . import scan
 
 
 def test_001():

theano/sandbox/test_theano_object.py

 from __future__ import print_function
-from theano_object import *
+from .theano_object import *
 
 
 RUN_TESTS = False

theano/scalar/__init__.py

 
-from basic import *
+from .basic import *
 
-from basic_scipy import *
+from .basic_scipy import *

theano/scalar/sharedvar.py

@@ -23,7 +23,7 @@ __docformat__ = "restructuredtext en"
 
 import numpy
 from theano.compile import SharedVariable
-from basic import Scalar, _scalar_py_operators
+from .basic import Scalar, _scalar_py_operators
 
 
 class ScalarSharedVariable(_scalar_py_operators, SharedVariable):

theano/scan_module/scan_op.py

@@ -804,7 +804,7 @@ class Scan(PureOp):
                 cython_destroy_map = [0 for x in xrange(len(node.outputs))]
             cython_destroy_map = numpy.asarray(cython_destroy_map,
                                                dtype='int32')
-            import scan_perform_ext
+            from . import scan_perform_ext
             p = lambda node, args, outs:\
                     scan_perform_ext.perform(
                         self.n_shared_outs,

theano/scan_module/scan_perform_ext.py

@@ -11,6 +11,7 @@ from theano import config
 from theano.compat import reload
 from theano.gof.compilelock import get_lock, release_lock
 from theano.gof import cmodule
+import imp
 
 
 _logger = logging.getLogger('theano.scan_module.scan_perform')
@@ -30,7 +31,7 @@ def try_import():
 
 def try_reload():
     sys.path[0:0] = [config.compiledir]
-    reload(scan_perform)
+    imp.reload(scan_perform)
     del sys.path[0]
 
 try:

theano/tensor/inplace.py

 from theano import scalar as scal
-import elemwise
+from . import elemwise
 from theano import printing
 from theano.printing import pprint
 

theano/tensor/nnet/Conv3D.py

@@ -623,5 +623,5 @@ def computeH(V, W, b, d):
     return H
 
 
-import ConvGrad3D
-import ConvTransp3D
+from . import ConvGrad3D
+from . import ConvTransp3D

theano/tensor/nnet/__init__.py

-from nnet import *
-from conv import conv2d, ConvOp
-from Conv3D import *
-from ConvGrad3D import *
-from ConvTransp3D import *
-from sigm import (softplus, sigmoid, sigmoid_inplace,
+from .nnet import *
+from .conv import conv2d, ConvOp
+from .Conv3D import *
+from .ConvGrad3D import *
+from .ConvTransp3D import *
+from .sigm import (softplus, sigmoid, sigmoid_inplace,
                   scalar_sigmoid, ultra_fast_sigmoid,
                   hard_sigmoid)

theano/tensor/tests/test_blas.py

@@ -20,7 +20,7 @@ from theano.tensor.blas import (_dot22, _dot22scalar, res_is_a, _as_scalar,
                                 gemm_inplace, gemm_no_inplace,
                                 InconsistencyError, Ger, ger, ger_destructive)
 from theano.tests import unittest_tools
-from test_basic import (as_tensor_variable, inplace_func,
+from .test_basic import (as_tensor_variable, inplace_func,
                         compile, inplace)
 import theano.tensor.blas_scipy
 

theano/tensor/tests/test_blas_scipy.py

@@ -4,7 +4,7 @@ import theano
 import theano.tensor as tensor
 from theano.tensor.blas_scipy import ScipyGer
 
-from test_blas import TestCase, gemm_no_inplace, TestBlasStrides
+from .test_blas import TestCase, gemm_no_inplace, TestBlasStrides
 from theano.tests.unittest_tools import TestOptimizationMixin
 
 

theano/tensor/tests/test_xlogx.py

@@ -4,7 +4,7 @@ import unittest
 
 import theano
 from theano.tensor import as_tensor_variable
-import test_basic as TT
+from . import test_basic as TT
 
 import random
 import numpy.random

theano/typed_list/__init__.py

-from type import TypedListType
-from basic import *
-import opt
+from .type import TypedListType
+from .basic import *
+from . import opt

theano/typed_list/basic.py

@@ -2,7 +2,7 @@ import copy
 
 import numpy
 
-from type import TypedListType
+from .type import TypedListType
 import theano
 from theano.gof import Apply, Constant, Op, Variable
 from theano.tensor.type_other import SliceType