test_blas.py 文件源码

def test_dot_vm(self):
        ''' Test vector dot matrix '''
        rng = numpy.random.RandomState(unittest_tools.fetch_seed())
        v = theano.shared(numpy.array(rng.uniform(size=(2,)), dtype='float32'))
        m = theano.shared(numpy.array(rng.uniform(size=(2, 3)),
             dtype='float32'))
        f = theano.function([], theano.dot(v, m), mode=mode_blas_opt)

        # Assert that the dot was optimized somehow
        self.assertFunctionContains0(f, T.dot)
        self.assertFunctionContains1(f, Gemv(True))

        # Assert they produce the same output
        assert numpy.allclose(f(), numpy.dot(v.get_value(), m.get_value()))
        # Assert it works when m has no contiguous dimension
        m.set_value(
                m.get_value(borrow=True)[::-1, ::-1],
                borrow=True)
        assert numpy.allclose(f(), numpy.dot(v.get_value(), m.get_value()))