TypeError: bool(Tensor) is not supported in static graph mode. Because the value is not available during the static mode.
If you haven't call bool(Tensor) explicitly, it's usually triggered by implicitly the control flow, for example:
    >>> if x > 0:
            ^ `x` is Tensor, `x` > 0 is also a Tensor, `if x > 0` triggers bool(Tensor)
    ...     y = y + 1
There are two common scenarios and fixes available:
If you are checking for Tensor values, then consider checking only at dynamic graphs, for example:
    Modify the following code
    >>> if x > 0:
    ...     raise ValueError("x should be positive")
    to
    >>> if paddle.in_dynamic_mode() and x < 0:
    >>>     raise ValueError("x should be positive")
If you need to control the flow of execution based on the value of the Tensor, then you need to rewrite the code as a control flow, for example:
    Modify the following code
    >>> if x < y:
    ...     y = y + 1
    ... else:
    ...     y = y - 1
    to
    >>> pred = paddle.less_than(x=x, y=y, name=None)
    >>> y = paddle.static.nn.cond(pred, lambda: y + 1, lambda: y - 1)
    more info please refer to https://www.paddlepaddle.org.cn/documentation/docs/zh/api/paddle/static/nn/cond_cn.html