Python mul_s_d Beispiele

Beispiel #1

Datei: test_opt.py Projekt: npinto/Theano

def test_local_mul_s_d():
    mode = theano.compile.mode.get_default_mode()
    mode = mode.including("specialize", "local_mul_s_d")

    for sp_format in sparse.sparse_formats:
        inputs = [getattr(theano.sparse, sp_format + '_matrix')(),
                  tensor.matrix()]

        f = theano.function(inputs,
                            sparse.mul_s_d(*inputs),
                            mode=mode)

        assert not any(isinstance(node.op, sparse.MulSD) for node
                       in f.maker.fgraph.toposort())

Beispiel #2

Datei: test_opt.py Projekt: wqren/Theano

def test_local_mul_s_d():
    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_mul_s_d")

    for sp_format in sparse.sparse_formats:
        inputs = [getattr(theano.sparse, sp_format + '_matrix')(),
                  tensor.matrix()]

        f = theano.function(inputs,
                            sparse.mul_s_d(*inputs),
                            mode=mode)

        assert not any(isinstance(node.op, sparse.MulSD) for node
                       in f.maker.fgraph.toposort())

Beispiel #3

def test_local_mul_s_d():
    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_mul_s_d")

    for sp_format in sparse.sparse_formats:
        inputs = [getattr(theano.sparse, sp_format + '_matrix')(),
                  tensor.matrix()]

        f = theano.function(inputs,
                            sparse.mul_s_d(*inputs),
                            mode=mode)

        assert not any(isinstance(node.op, sparse.MulSD) for node
                       in f.maker.fgraph.toposort())