Merge pull request #3159 from nouiz/tests

.travis.yml

@@ -24,8 +24,8 @@ before_install:
   - conda update --yes conda
 
 install:
-  - if [[ $TRAVIS_PYTHON_VERSION == '2.6' ]]; then conda create --yes -q -n pyenv mkl python=2.6 numpy=1.6.2 scipy=0.11 nose=1.1 pyparsing=1.5 pip flake8==2.3 six==1.9.0; fi
-  - if [[ $TRAVIS_PYTHON_VERSION == '3.3' ]]; then conda create --yes -q -n pyenv mkl python=3.3 numpy=1.9.1 scipy=0.14.0 nose=1.3.4 pyparsing=1.5 pip flake8==2.3 six==1.9.0; fi
+  - if [[ $TRAVIS_PYTHON_VERSION == '2.6' ]]; then conda create --yes -q -n pyenv mkl python=2.6 numpy=1.6.2 scipy=0.11 nose=1.1 pyparsing=1.5 pip flake8==2.3 six==1.9.0 pep8==1.6.2 pyflakes==0.8.1; fi
+  - if [[ $TRAVIS_PYTHON_VERSION == '3.3' ]]; then conda create --yes -q -n pyenv mkl python=3.3 numpy=1.9.1 scipy=0.14.0 nose=1.3.4 pyparsing=1.5 pip flake8==2.3 six==1.9.0 pep8==1.6.2 pyflakes==0.8.1; fi
   - source activate pyenv
   - if [[ $TRAVIS_PYTHON_VERSION == '2.6' ]]; then pip install pydot; fi
   - pip install . --no-deps

doc/developer/compat.txt

@@ -20,12 +20,14 @@ but here are some guidelines for the major things to be aware of.
   syntax:
 
     .. code-block:: python
+
         except Exception as e:
            ...
 
 * No tuple-unpacking in the argument list:
 
     .. code-block:: python
+
         def f(a, (b, c)):  # wrong
             ...
 
@@ -35,6 +37,7 @@ but here are some guidelines for the major things to be aware of.
 * Always use ``print(...)`` as a function, and add
 
     .. code-block:: python
+
         from __future__ import print_function
 
   At the top of files that use ``print``, above all other imports.

doc/index.txt

@@ -76,11 +76,11 @@ installation and configuration, see :ref:`installing Theano <install>`.
 
   .. raw:: html
 
-     <a href="https://crate.io/packages/Theano/"><img src="https://pypip.in/v/Theano/badge.png" alt="Latest PyPI version" /></a>&nbsp;
+     <a href="https://crate.io/packages/Theano/"><img src="https://img.shields.io/pypi/v/Theano.svg" alt="Latest PyPI version" /></a>&nbsp;
 
   .. raw:: html
 
-     <a href="https://crate.io/packages/Theano/"><img src="https://pypip.in/d/Theano/badge.png" alt="Number of PyPI downloads" /></a>&nbsp;
+     <a href="https://crate.io/packages/Theano/"><img src="https://img.shields.io/pypi/dm/Theano.svg" alt="Number of PyPI downloads" /></a>&nbsp;
 
 .. _available on PyPI: http://pypi.python.org/pypi/Theano
 .. _Related Projects: https://github.com/Theano/Theano/wiki/Related-projects

doc/library/compile/nanguardmode.txt

 
 .. _nanguardmode:
 
-=================
+===================
 :mod:`nanguardmode`
-=================
+===================
 
 .. module:: nanguardmode
    :platform: Unix, Windows

doc/library/config.txt

@@ -389,14 +389,18 @@ import theano and print the config variable, as in:
 
 .. attribute:: on_opt_error
 
-    String value: 'warn', 'raise' or 'pdb'
+    String value: 'warn', 'raise', 'pdb' or 'ignore'
 
     Default: 'warn'
 
     When a crash occurs while trying to apply some optimization, either warn
     the user and skip this optimization ('warn'), raise the exception
-    ('raise'), or fall into the pdb debugger ('pdb').
+    ('raise'), fall into the pdb debugger ('pdb') or ignore it ('ignore').
+    We suggest to never use 'ignore' except in tests.
 
+   If you encounter a warning, report it on `theano-dev`_.
+
+.. _theano-dev: http://groups.google.com/group/theano-dev
 
 .. attribute:: assert_no_cpu_op
 

doc/tutorial/debug_faq.txt

@@ -296,7 +296,7 @@ Tips:
 
 
 "Why does my GPU function seem to be slow?"
-------------------------------------------
+-------------------------------------------
 
 When you compile a theano function, if you do not get the speedup that you expect over the 
 CPU performance of the same code. It is oftentimes due to the fact that some Ops might be running
@@ -307,7 +307,7 @@ options:
 * ``warn``: Raise a warning
 * ``pdb``: Stop with a pdb in the computational graph during the compilation
 * ``raise``: Raise an error,
-if there is a CPU Op in the computational graph.
+  if there is a CPU Op in the computational graph.
 
 It is possible to use this mode by providing the flag in THEANO_FLAGS, such as:
 ``THEANO_FLAGS="float32,device=gpu,assert_no_cpu_op='raise'" python test.py``

theano/configdefaults.py

@@ -246,7 +246,7 @@ AddConfigVar(
     'on_opt_error',
     ("What to do when an optimization crashes: warn and skip it, raise "
      "the exception, or fall into the pdb debugger."),
-    EnumStr('warn', 'raise', 'pdb'),
+    EnumStr('warn', 'raise', 'pdb', 'ignore'),
     in_c_key=False)
 
 

theano/gof/opt.py

@@ -1364,6 +1364,7 @@ class NavigatorOptimizer(Optimizer):
     def warn(exc, nav, repl_pairs, local_opt):
         """failure_callback for NavigatorOptimizer: print traceback
         """
+        if config.on_opt_error != 'ignore':
             _logger.error("Optimization failure due to: %s" % str(local_opt))
             _logger.error("TRACEBACK:")
             _logger.error(traceback.format_exc())

theano/sandbox/cuda/tests/test_opt.py

@@ -106,15 +106,17 @@ def test_local_assert_no_cpu_op():
     mode_local_assert = mode_local_assert.excluding("local_gpu_elemwise_1")
 
     old = config.assert_no_cpu_op
-
+    old2 = config.on_opt_error
     # If the flag is raise
     try:
         config.assert_no_cpu_op = 'raise'
+        config.on_opt_error = 'ignore'
 
         assert_raises(AssertionError, theano.function,
                         [], out, mode=mode_local_assert)
     finally:
         config.assert_no_cpu_op = old
+        config.on_opt_error = old2
 
     # If the flag is ignore
     try:

theano/scan_module/tests/test_scan.py

@@ -4298,6 +4298,12 @@ class T_Scan(unittest.TestCase):
 
         # There should be 3 outputs greater than 10: prior_result[0] at step 3,
         # and prior_result[1] at steps 2 and 3.
+        if theano.config.mode in ["DEBUG_MODE", "DebugMode"]:
+            # DebugMode will run all the intermediate nodes, so we
+            # should expect a multiple of 3, not exactly 3.
+            assert detect_large_outputs.large_count % 3 == 0
+
+        else:
             assert detect_large_outputs.large_count == 3