test_basic.py 文件源码

def ___test_infer_shape_tuple(self):

        a = tensor.tensor3(dtype='int32')
        b = tensor.tensor3(dtype='int32')
        c = tensor.tensor3(dtype='int32')

        A = numpy.asarray([1, 0], dtype='int32').reshape((2, 1, 1))
        B = numpy.asarray(numpy.random.rand(1, 4, 1), dtype='int32')
        C = numpy.asarray(numpy.random.rand(1, 1, 7), dtype='int32')

        f = function([a, b, c], choose(a, (b, c)))
        shape = (2, 4, 7)
        assert numpy.allclose(f(A, B, C).shape, shape)

        self._compile_and_check([a, b, c],  # theano.function inputs
                                [self.op(a, (b, c))],  # theano.function outputs
                                # Always use not square matrix!
                                # inputs data
                                [A, B, C],
                                # Op that should be removed from the graph.
                                self.op_class)