Merge pull request #1423 from nouiz/fixes

doc/library/tensor/nnet/nnet.txt

@@ -66,7 +66,10 @@
        minimum value and 0.997527376843 as the maximum value. So it
        never returns 0 or 1.
 
-
+   .. note:: Using directly the ultra_fast_sigmoid in the graph will
+       disable stabilization optimization associated with it. But
+       using the optimization to insert them won't disable the
+       stability optimization.
 
 
 .. function:: hard_sigmoid(x)
@@ -84,6 +87,10 @@
    .. note:: The underlying code will return an exact 0 or 1 if an
       element of x is too small or too big.
 
+   .. note:: Using directly the ultra_fast_sigmoid in the graph will
+       disable stabilization optimization associated with it. But
+       using the optimization to insert them won't disable the
+       stability optimization.
 
 .. function:: softplus(x)
 

theano/compile/profiling.py

@@ -34,7 +34,8 @@ _atexit_print_file = sys.stderr
 
 AddConfigVar('profiling.time_thunks',
              """Time individual thunks when profiling""",
-             BoolParam(True))
+             BoolParam(True),
+             in_c_key=False)
 
 AddConfigVar('profiling.n_apply',
              "Number of Apply instances to print by default",

theano/configdefaults.py

@@ -234,7 +234,8 @@ AddConfigVar('op.set_flops',
 
 AddConfigVar('gpuelemwise.sync',
         "when true, wait that the gpu fct finished and check it error code.",
-        BoolParam(True))
+        BoolParam(True),
+        in_c_key=False)
 
 AddConfigVar('traceback.limit',
              "The number of stack to trace. -1 mean all.",

theano/gof/compiledir.py

@@ -80,7 +80,8 @@ AddConfigVar("compiledir_format",
                  module subdirectory (relative to base_compiledir).
                  Available keys: %s. Defaults to %r.
              """ % (compiledir_format_keys, default_compiledir_format))),
-             StrParam(default_compiledir_format, allow_override=False))
+             StrParam(default_compiledir_format, allow_override=False),
+             in_c_key=False)
 
 
 def default_compiledirname():
@@ -160,7 +161,8 @@ AddConfigVar('base_compiledir',
         ConfigParam(
             default_base_compiledir,
             filter=filter_base_compiledir,
-            allow_override=False))
+            allow_override=False),
+             in_c_key=False)
 
 AddConfigVar('compiledir',
         "platform-dependent cache directory for compiled modules",
@@ -169,7 +171,8 @@ AddConfigVar('compiledir',
                 config.base_compiledir,
                 default_compiledirname()),
             filter=filter_compiledir,
-            allow_override=False))
+            allow_override=False),
+             in_c_key=False)
 
 
 def cleanup():

theano/gof/tests/test_cmodule.py

@@ -41,13 +41,19 @@ def test_inter_process_cache():
 
     """
 
-    x, y = theano.tensor.vectors('xy')
+    x, y = theano.tensor.dvectors('xy')
     f = theano.function([x, y], [MyOp()(x), MyOp()(y)])
     f(numpy.arange(60), numpy.arange(60))
+    if theano.config.mode == 'FAST_COMPILE':
+        assert MyOp.nb_called == 0
+    else:
         assert MyOp.nb_called == 1
 
     # What if we compile a new function with new variables?
-    x, y = theano.tensor.vectors('xy')
+    x, y = theano.tensor.dvectors('xy')
     f = theano.function([x, y], [MyOp()(x), MyOp()(y)])
     f(numpy.arange(60), numpy.arange(60))
+    if theano.config.mode == 'FAST_COMPILE':
+        assert MyOp.nb_called == 0
+    else:
         assert MyOp.nb_called == 1

theano/gof/vm.py

@@ -20,14 +20,16 @@ logger = logging.getLogger(__name__)
 
 AddConfigVar('profile',
         "If VM should collect profile information",
-        BoolParam(False))
+        BoolParam(False),
+        in_c_key=False)
 AddConfigVar('profile_optimizer',
         "If VM should collect optimizer profile information",
-        BoolParam(False))
+        BoolParam(False),
+        in_c_key=False)
 AddConfigVar('profile_memory',
         "If VM should collect memory profile information and print it",
-        BoolParam(False))
-
+        BoolParam(False),
+        in_c_key=False)
 
 def filter_vm_lazy(val):
     if val == 'False' or val is False:
@@ -45,7 +47,8 @@ AddConfigVar('vm.lazy',
              " auto detect if lazy evaluation is needed and use the apropriate"
              " version. If lazy is True/False, force the version used between"
              " Loop/LoopGC and Stack.",
-         ConfigParam('None', filter_vm_lazy))
+             ConfigParam('None', filter_vm_lazy),
+             in_c_key=False)
 
 raise_with_op = link.raise_with_op
 

theano/sandbox/cuda/__init__.py

@@ -27,7 +27,8 @@ AddConfigVar('cuda.root',
         linker directives.  Default: environment variable "CUDA_ROOT"
         or else "AUTO".
         """,
-        StrParam(os.getenv('CUDA_ROOT', "AUTO")))
+        StrParam(os.getenv('CUDA_ROOT', "AUTO")),
+        in_c_key=False)
 
 AddConfigVar('pycuda.init',
         """If True, always initialize PyCUDA when Theano want to
@@ -37,7 +38,8 @@ AddConfigVar('pycuda.init',
            manually by importing theano.misc.pycuda_init before theano
            initialize the GPU device.
              """,
-        BoolParam(False))
+        BoolParam(False),
+        in_c_key=False)
 
 if config.cuda.root == "AUTO":
     # set nvcc_path correctly and get the version

theano/sandbox/cuda/nvcc_compiler.py

@@ -27,7 +27,8 @@ from theano.configparser import (config, AddConfigVar, StrParam,
 AddConfigVar('nvcc.compiler_bindir',
              "If defined, nvcc compiler driver will seek g++ and gcc"
              " in this directory",
-        StrParam(""))
+             StrParam(""),
+             in_c_key=False)
 
 AddConfigVar('cuda.nvccflags',
         "DEPRECATED, use nvcc.flags instead",
@@ -52,12 +53,20 @@ def filter_nvcc_flags(s):
     return ' '.join(flags)
 AddConfigVar('nvcc.flags',
              "Extra compiler flags for nvcc",
-        ConfigParam(config.cuda.nvccflags, filter_nvcc_flags))
+             ConfigParam(config.cuda.nvccflags, filter_nvcc_flags),
+             # Not needed in c key as it is already added.
+             # We remove it as we don't make the md5 of config to change
+             # if theano.sandbox.cuda is loaded or not.
+             in_c_key=False)
 
 
 AddConfigVar('nvcc.fastmath',
              "",
-        BoolParam(False))
+             BoolParam(False),
+             # Not needed in c key as it is already added.
+             # We remove it as we don't make the md5 of config to change
+             # if theano.sandbox.cuda is loaded or not.
+             in_c_key=False)
 
 nvcc_path = 'nvcc'
 nvcc_version = None