Tests passed (see details below) (with blas.ldflags empty and ldflags skipping removed from files):
tensor/nnet/tests/test_corr.py
tensor/nnet/tests/test_corr3d.py
tensor/tests/test_blas.py
tensor/tests/test_blas_scipy.py
tensor/tests/test_blas_c.py (28 tests skipped)
tensor/nnet/tests/test_abstract_conv.py:TestCorrConv2d
tensor/nnet/tests/test_abstract_conv.py:TestCorrConv3d
tensor/nnet/tests/test_abstract_conv.py:TestAbstractConvNoOptim
tensor/nnet/tests/test_abstract_conv.py:TestCpuConv2d (252 tests skipped)
tensor/nnet/tests/test_abstract_conv.py:TestCpuConv3d (60 tests skipped)
tensor/nnet/tests/test_abstract_conv.py:TestBilinearUpsampling


__
$ theano-cache purge && THEANO_FLAGS=optdb.max_use_ratio=7,blas.ldflags= nosetests --verbose theano/tensor/nnet/tests/test_corr.py
Tests that basic correlations work for odd and even ... ok
Checks dtype upcast for CorrMM methods. ... ok
Tests correlation where filter dilation != (1,1) ... ok
Tests basic correlation in full mode and case where filter ... ok
test_img_kernel_same_shape (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok
test_infer_shape_forward (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok
test_infer_shape_gradI (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok
test_infer_shape_gradW (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok
Tests scenario where filter_shape[1] != input_shape[1] ... ok
test_non_contiguous (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok
Tests correlation where the {image,filter}_shape is a Constant tensor. ... ok
Tests correlation where subsampling != (1,1) ... ok
Make sure errors are raised when image and kernel are not 4D tensors ... ok

----------------------------------------------------------------------
Ran 13 tests in 167.377s

OK

$ theano-cache purge && THEANO_FLAGS=optdb.max_use_ratio=10,blas.ldflags= nosetests --verbose theano/tensor/nnet/tests/test_corr3d.py
Tests that basic correlations work for odd and even ... ok
Checks dtype upcast for Corr3dMM methods. ... ok
Tests correlation where filter dilation != (1,1,1) ... ok
Tests basic correlation in full mode and case where filter ... ok
test_img_kernel_same_shape (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok
test_infer_shape_forward (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok
test_infer_shape_gradI (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok
test_infer_shape_gradW (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok
Tests scenario where filter_shape[1] != input_shape[1] ... ok
test_non_contiguous (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok
Tests correlation where the {image,filter}_shape is a Constant tensor. ... ok
Tests correlation where subsampling != (1,1,1) ... ok
Make sure errors are raised when image and kernel are not 5D tensors ... ok

----------------------------------------------------------------------
Ran 13 tests in 687.905s

OK
$ theano-cache purge && THEANO_FLAGS=optdb.max_use_ratio=10,blas.ldflags= nosetests theano/tensor/tests/test_blas.py
..............................................................................................................
----------------------------------------------------------------------
Ran 110 tests in 69.618s

OK
$ theano-cache purge && THEANO_FLAGS=optdb.max_use_ratio=10,blas.ldflags= nosetests theano/tensor/tests/test_blas_scipy.py
..............
----------------------------------------------------------------------
Ran 14 tests in 16.113s

OK
$ theano-cache purge && THEANO_FLAGS=optdb.max_use_ratio=10,blas.ldflags= nosetests theano/tensor/tests/test_blas_c.py
...........S.S.SSSSSSSSSSSSSSSSSSSSSSSS...SS
----------------------------------------------------------------------
Ran 44 tests in 14.716s

OK (SKIP=28)
$ theano-cache purge && THEANO_FLAGS=optdb.max_use_ratio=10,blas.ldflags= nosetests theano/tensor/nnet/tests/test_abstract_conv.py:TestCorrConv2d
..................................................................................................................................................................................................................................................................................................................................................................................................................
----------------------------------------------------------------------
Ran 402 tests in 589.767s

OK
$ theano-cache purge && THEANO_FLAGS=optdb.max_use_ratio=10,blas.ldflags= nosetests theano/tensor/nnet/tests/test_abstract_conv.py:TestCorrConv3d
..................................................................................................
----------------------------------------------------------------------
Ran 98 tests in 302.220s

OK
$ theano-cache purge && THEANO_FLAGS=blas.ldflags= nosetests theano/tensor/nnet/tests/test_abstract_conv.py:TestAbstractConvNoOptim
....................
----------------------------------------------------------------------
Ran 20 tests in 93.374s

OK
$ theano-cache purge && THEANO_FLAGS=blas.ldflags= nosetests theano/tensor/nnet/tests/test_abstract_conv.py:TestCpuConv2d
.......................SSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSS.........................SSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSS.........................SSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSS.........................SSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSS.........................SSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSS.........................SSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSS..
----------------------------------------------------------------------
Ran 402 tests in 137.067s

OK (SKIP=252)
# 252 SKIPs pour la même raison: SKIP: No dilation implementation for basic cpu ConvOp.
# (test_abstract_conv.py, ligne 494)
$ theano-cache purge && THEANO_FLAGS=blas.ldflags= nosetests theano/tensor/nnet/tests/test_abstract_conv.py:TestCpuConv3d
.................SSSSSSSSSSSSSSSSSSSSSSSSSSSSSS...................SSSSSSSSSSSSSSSSSSSSSSSSSSSSSS..
----------------------------------------------------------------------
Ran 98 tests in 44.181s

OK (SKIP=60)
#  60 SKIPs pour la même raison: SKIP: No dilation implementation for basic cpu Conv3D.
# (test_abstract_conv.py, ligne 688)
$ theano-cache purge && THEANO_FLAGS=blas.ldflags= nosetests theano/tensor/nnet/tests/test_abstract_conv.py:TestBilinearUpsampling
.....
----------------------------------------------------------------------
Ran 5 tests in 29.046s

OK