def test_local_structured_add_s_v(): mode = theano.compile.mode.get_default_mode() mode = mode.including("specialize", "local_structured_add_s_v") for sp_format in ['csr']: # Not implemented for other format inputs = [getattr(theano.sparse, sp_format + '_matrix')(), tensor.vector()] f = theano.function(inputs, sparse.structured_add_s_v(*inputs), mode=mode) assert not any(isinstance(node.op, sparse.StructuredAddSV) for node in f.maker.fgraph.toposort())
def test_local_structured_add_s_v(): if not theano.config.cxx: raise SkipTest("G++ not available, so we need to skip this test.") mode = theano.compile.mode.get_default_mode() mode = mode.including("specialize", "local_structured_add_s_v") for sp_format in ['csr']: # Not implemented for other format inputs = [getattr(theano.sparse, sp_format + '_matrix')(), tensor.vector()] f = theano.function(inputs, sparse.structured_add_s_v(*inputs), mode=mode) assert not any(isinstance(node.op, sparse.StructuredAddSV) for node in f.maker.fgraph.toposort())