def test_sparse(self):
mySymbolicSparseList = TypedListType(
sparse.SparseType('csr', theano.config.floatX))()
mySymbolicSparse = sparse.csr_matrix()
z = Index()(mySymbolicSparseList, mySymbolicSparse)
f = theano.function([mySymbolicSparseList, mySymbolicSparse], z)
x = sp.csr_matrix(random_lil((10, 40), theano.config.floatX, 3))
y = sp.csr_matrix(random_lil((10, 40), theano.config.floatX, 3))
self.assertTrue(f([x, y], y) == 1)
def test_sanity_check(self):
mySymbolicMatricesList = TypedListType(
T.TensorType(theano.config.floatX, (False, False)))()
myMatrix = T.matrix()
z = Index()(mySymbolicMatricesList, myMatrix)
f = theano.function([mySymbolicMatricesList, myMatrix], z)
x = rand_ranged_matrix(-1000, 1000, [100, 101])
y = rand_ranged_matrix(-1000, 1000, [100, 101])
self.assertTrue(f([x, y], y) == 1)
def test_sparse(self):
sp = pytest.importorskip("scipy")
mySymbolicSparseList = TypedListType(
sparse.SparseType("csr", theano.config.floatX))()
mySymbolicSparse = sparse.csr_matrix()
z = Index()(mySymbolicSparseList, mySymbolicSparse)
f = theano.function([mySymbolicSparseList, mySymbolicSparse], z)
x = sp.sparse.csr_matrix(random_lil((10, 40), theano.config.floatX, 3))
y = sp.sparse.csr_matrix(random_lil((10, 40), theano.config.floatX, 3))
assert f([x, y], y) == 1
def test_sparse(self):
if not scipy_imported:
raise SkipTest('Optional package SciPy not installed')
mySymbolicSparseList = TypedListType(
sparse.SparseType('csr', theano.config.floatX))()
mySymbolicSparse = sparse.csr_matrix()
z = Index()(mySymbolicSparseList, mySymbolicSparse)
f = theano.function([mySymbolicSparseList, mySymbolicSparse], z)
x = sp.csr_matrix(random_lil((10, 40), theano.config.floatX, 3))
y = sp.csr_matrix(random_lil((10, 40), theano.config.floatX, 3))
self.assertTrue(f([x, y], y) == 1)
def test_non_tensor_type(self):
mySymbolicNestedMatricesList = TypedListType(
T.TensorType(theano.config.floatX, (False, False)), 1)()
mySymbolicMatricesList = TypedListType(
T.TensorType(theano.config.floatX, (False, False)))()
z = Index()(mySymbolicNestedMatricesList, mySymbolicMatricesList)
f = theano.function(
[mySymbolicNestedMatricesList, mySymbolicMatricesList], z)
x = rand_ranged_matrix(-1000, 1000, [100, 101])
y = rand_ranged_matrix(-1000, 1000, [100, 101])
self.assertTrue(f([[x, y], [x, y, y]], [x, y]) == 0)
def test_sparse(self):
if not scipy_imported:
pytest.skip("Optional package SciPy not installed")
mySymbolicSparseList = TypedListType(
sparse.SparseType("csr", theano.config.floatX)
)()
mySymbolicSparse = sparse.csr_matrix()
z = Index()(mySymbolicSparseList, mySymbolicSparse)
f = theano.function([mySymbolicSparseList, mySymbolicSparse], z)
x = sp.csr_matrix(random_lil((10, 40), theano.config.floatX, 3))
y = sp.csr_matrix(random_lil((10, 40), theano.config.floatX, 3))
assert f([x, y], y) == 1
