test_opt.py 文件源码

python
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项目:Theano-Deep-learning 作者: GeekLiB 项目源码 文件源码
def test_insert_inplace(self):
        mySymbolicMatricesList = TypedListType(T.TensorType(
                                               theano.config.floatX, (False, False)))()
        mySymbolicIndex = T.scalar(dtype='int64')
        mySymbolicMatrix = T.matrix()

        z = Insert()(mySymbolicMatricesList, mySymbolicIndex, mySymbolicMatrix)
        m = theano.compile.mode.get_default_mode().including("typed_list_inplace_opt")

        f = theano.function([In(mySymbolicMatricesList, borrow=True,
                             mutable=True), mySymbolicIndex, mySymbolicMatrix],
                            z, accept_inplace=True, mode=m)
        self.assertTrue(f.maker.fgraph.toposort()[0].op.inplace)

        x = rand_ranged_matrix(-1000, 1000, [100, 101])

        y = rand_ranged_matrix(-1000, 1000, [100, 101])

        self.assertTrue(numpy.array_equal(f([x], numpy.asarray(1,
                        dtype='int64'), y), [x, y]))
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