Merge pull request #409 from lamblin/fix_misc_buildbot_tests

NEWS.txt

@@ -109,8 +109,8 @@ New features:
        The new theano.sparse.dot() has a dense gradient for all inputs.
  * GpuAdvancedSubtensor1 supports broadcasted dimensions. (Frederic)
  * TensorVariable.zeros_like() and SparseVariable.zeros_like()
- * theano.sandbox.cuda.cuda_ndarray.cuda_ndarray.device_properties()(Frederic)
- * theano.sandbox.cuda.cuda_ndarray.cuda_ndarray.mem_info()return free and total gpu memory(Frederic)
+ * theano.sandbox.cuda.cuda_ndarray.cuda_ndarray.device_properties() (Frederic)
+ * theano.sandbox.cuda.cuda_ndarray.cuda_ndarray.mem_info() return free and total gpu memory (Frederic)
  * Theano flags compiledir_format. Keep the same default as before: compiledir_%(platform)s-%(processor)s-%(python_version)s. (Josh Bleecher Snyder)
      * We also support the "theano_version" substitution.
  * IntDiv c code (faster and allow this elemwise to be fused with other elemwise) (Pascal)
@@ -122,8 +122,10 @@ New features:
  * a_CudaNdarray_object[*] = int, now work (Frederic)
  * tensor_variable.size (as numpy) computes the product of the shape elements. (Olivier)
  * sparse_variable.size (as scipy) computes the number of stored values. (Olivier)
- * sparse_variable[N, N] now work (Li Yao, Frederic)
- * sparse_variable[M:N, O:P] now work (Li Yao, Frederic)
+ * sparse_variable[N, N] now works (Li Yao, Frederic)
+ * sparse_variable[M:N, O:P] now works (Li Yao, Frederic)
+    * Warning: M, N, O, and P should be Python int or scalar tensor variables,
+      in particular, None is not well-supported.
 
 New optimizations:
  * AdvancedSubtensor1 reuses preallocated memory if available (scan, c|py_nogc linker) (Frederic)

theano/misc/do_nightly_build

@@ -6,7 +6,6 @@ NOSETESTS=nosetests
 ARGS=$@
 PROFILING=""
 RELEASE=""
-COMPILEDIR=`python -c "import theano;print theano.config.compiledir"`
 if [ "$1" == "--release" ]; then
     RELEASE="True"
     shift
@@ -21,6 +20,8 @@ if [ "$1" == "--buildbot" ]; then
     cd ..
     ARGS="Theano"
     PROFILING="--with-coverage --cover-package=theano"
+else
+    COMPILEDIR=`python -c "import theano;print theano.config.compiledir"`
 fi
 
 echo "Number of elements in the compiledir:"

theano/tensor/tests/test_basic.py

@@ -3990,19 +3990,19 @@ def test_tile():
     rng = numpy.random.RandomState(utt.fetch_seed())
     x = vector()
     f = function([x], tile(x, (2,)))
-    x_ = rng.randn(5)
+    x_ = rng.randn(5).astype(config.floatX)
     assert numpy.all(f(x_) == numpy.tile(x_, (2,)))
 
     # Test the two-dimensional case.
     x = matrix()
     f = function([x], tile(x, (2, 3)))
-    x_ = rng.randn(2, 4)
+    x_ = rng.randn(2, 4).astype(config.floatX)
     assert numpy.all(f(x_) == numpy.tile(x_, (2, 3)))
 
     # Test the three-dimensional case.
     x = tensor3()
     f = function([x], tile(x, (2, 3, 4)))
-    x_ = rng.randn(2, 4, 3)
+    x_ = rng.randn(2, 4, 3).astype(config.floatX)
     assert numpy.all(f(x_) == numpy.tile(x_, (2, 3, 4)))