Get rid of references to the older THEANO_* environment variables in the code…

theano/compile/mode.py

@@ -221,12 +221,8 @@ predefined_modes = {'FAST_COMPILE': FAST_COMPILE,
                     'SANITY_CHECK': SANITY_CHECK}
 
 
-##
-# The default mode used by functions and modules is read from the environment
-# variable THEANO_DEFAULT_MODE. Unit tests will run using this value. If the env. var.
-# is not set, it will default to 'FAST_RUN'
+# The default mode used by functions and modules is read from the configuration.
 # keep default_mode.optimizer==default_optimizer and default_mode.linker==default_linker!
-##
 default_mode = config.mode
 
 def get_mode(string):

theano/compile/profilemode.py

@@ -312,10 +312,10 @@ class ProfileMode(Mode):
 register_mode('PROFILE_MODE',ProfileMode())
 
 def atexit_print_default_profile_mode():
-    """Print the summary of the predefied mode PROFILE_MODE if used.
+    """Print the summary of the predefined mode PROFILE_MODE if used.
     
-    This all to have the summary printed at exit when we do
-    THEANO_DEFAULT_MODE=PROFILE_MODE
+    This all to have the summary printed at exit when
+    config.mode=PROFILE_MODE
     """
     prof_mode=predefined_modes["PROFILE_MODE"]
     if prof_mode.local_time[0]>0:

theano/tensor/basic.py

@@ -261,11 +261,14 @@ def _wrap_tensor_into_member(x):
 compile.module.register_wrapper(_obj_is_wrappable_as_tensor, _wrap_tensor_into_member)
 
 if int(config.tensor.cmp_sloppy)>1:
-    # This environment variable is a quick-and-dirty way to get low-precision comparisons.
-    # For a more precise setting of these tolerances set them explicitly in your user code by
-    # assigning, for example, "theano.tensor.basic.float32_atol = ..."
-
-    #when THEANO_CMP_SLOPPY>1 we are even more sloppy. This is usefull to test the gpu as they don't use extended precision and this cause some difference bigger then the normal sloppy.
+    # This config variable is a quick-and-dirty way to get low-precision
+    # comparisons.  For a more precise setting of these tolerances set
+    # them explicitly in your user code by assigning, for example,
+    # "theano.tensor.basic.float32_atol = ..."
+
+    # When config.tensor.cmp_sloppy>1 we are even more sloppy. This is
+    # useful to test the GPU as they don't use extended precision and
+    # this cause some difference bigger then the normal sloppy.
     float32_atol = 5e-4
     float32_rtol = 1e-3 
     float64_rtol = 1e-4

theano/tensor/blas.py

@@ -44,7 +44,7 @@ def ldflags(libs=True, flags=False):
     """Return a list of libraries against which an Op's object file should be
     linked to benefit from a BLAS implementation.
     
-    Default: ['blas'], but environment variable THEANO_BLAS_LDFLAGS overrides this.
+    Default: ['blas'], but configuration variable config.blas.ldflags overrides this.
     """
     rval = []
     for t in config.blas.ldflags.split():
@@ -52,9 +52,9 @@ def ldflags(libs=True, flags=False):
             t0, t1, t2 = t[0:3]
             assert t0 == '-'
         except:
-            raise ValueError('invalid token in THEANO_BLAS_LDFLAGS', t)
+            raise ValueError('invalid token in config.blas.ldflags', t)
         if t1 == 'L':
-            raise ValueError('library dir not allowed in THEANO_BLAS_LDFLAGS', t)
+            raise ValueError('library dir not allowed in config.blas.ldflags', t)
         elif libs and t1=='l': # example -lmkl
             rval.append(t[2:])
         elif flags and t1!='l': # example -openmp

theano/tests/unittest_tools.py

@@ -34,7 +34,7 @@ def fetch_seed(pseed=None):
         #backport
         #seed = int(seed) if seed else None
     except ValueError:
-        print >> sys.stderr, 'Error: THEANO_UNITTEST_SEED contains '\
+        print >> sys.stderr, 'Error: config.unittests.rseed contains '\
                 'invalid seed, using None instead'
         seed = None
 
@@ -48,7 +48,7 @@ def seed_rng(pseed=None):
 
     seed = fetch_seed(pseed)
     if pseed and pseed!=seed:
-        print >> sys.stderr, 'Warning: using seed given by THEANO_UNITTEST_SEED=%i'\
+        print >> sys.stderr, 'Warning: using seed given by config.unittests.rseed=%i'\
                 'instead of seed %i given as parameter' % (seed, pseed)
     numpy.random.seed(seed)
     return seed