【Hackathon 7th No.38】为Paddle代码转换工具新增API转换规则（第5组）-part #6885
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| ## [无参数]torch.Tensor.isneginf | ||
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| ### [torch.Tensor.isneginf ](https://pytorch.org/docs/stable/generated/torch.Tensor.isneginf.html#torch.Tensor.isneginf) | ||
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| ```python | ||
| torch.Tensor.isneginf() | ||
| ``` | ||
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| ### [paddle.Tensor.isneginf](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/api/paddle/Tensor_cn.html#isneginf-name-none) | ||
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| ```python | ||
| paddle.Tensor.isneginf(name=None) | ||
| ``` | ||
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| 两者功能一致，无参数。 |
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| ## [无参数]torch.Tensor.isposinf | ||
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| ### [torch.Tensor.isposinf](https://pytorch.org/docs/stable/generated/torch.Tensor.isposinf.html#torch.Tensor.isposinf) | ||
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| ```python | ||
| torch.Tensor.isposinf() | ||
| ``` | ||
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| ### [paddle.Tensor.isposinf](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/api/paddle/Tensor_cn.html#isposinf-name-none) | ||
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| ```python | ||
| paddle.Tensor.isposinf(name=None) | ||
| ``` | ||
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| 两者功能一致，无参数。 |
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| ## [无参数]torch.Tensor.isreal | ||
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| ### [torch.Tensor.isreal](https://pytorch.org/docs/stable/generated/torch.Tensor.isreal.html#torch.Tensor.isreal) | ||
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| ```python | ||
| Tensor.isreal() | ||
| ``` | ||
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| ### [paddle.Tensor.isreal](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/api/paddle/Tensor_cn.html#isreal-name-none) | ||
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| ```python | ||
| paddle.Tensor.isreal(name=None) | ||
| ``` | ||
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| 两者功能一致，无参数。 |
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| ## [组合替代实现]torch.Tensor.positive | ||
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| [torch.Tensor.positive](https://pytorch.org/docs/stable/generated/torch.Tensor.positive.html#torch.Tensor.positive) | ||
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| ```python | ||
| torch.Tensor.positive() | ||
| ``` | ||
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| 判断 `input` 是否是 bool 类型的 Tensor，如果是则抛出 RuntimeError 异常，否则返回 `input` 。 | ||
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| Paddle 无此 API，需要组合实现。 | ||
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| ### 转写示例 | ||
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| ```python | ||
| # PyTorch 写法 | ||
| x.positive() | ||
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| # Paddle 写法 | ||
| def positive(x): | ||
| if x.dtype != paddle.bool: | ||
| return x | ||
| else: | ||
| raise RuntimeError("boolean tensors is not supported.") | ||
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| positive(x) | ||
| ``` |
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| ## [paddle 参数更多]torch.Tensor.scatter_reduce | ||
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| ### [torch.Tensor.scatter_reduce](https://pytorch.org/docs/stable/generated/torch.Tensor.scatter_reduce.html#torch-tensor-scatter-reduce) | ||
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| ```python | ||
| torch.Tensor.scatter_reduce(dim, index, src, reduce, *, include_self=True) | ||
| ``` | ||
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| ### [paddle.Tensor.put_along_axis](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/api/paddle/Tensor_cn.html#put-along-axis-indices-value-axis-reduce-assign-include-self-true-broadcast-true) | ||
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| ```python | ||
| paddle.Tensor.put_along_axis(indices, values, axis, reduce="assign", include_self=True, broadcast=True) | ||
| ``` | ||
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| 其中 Paddle 相比 PyTorch 支持更多其他参数，具体如下： | ||
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| ### 参数映射 | ||
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| | PyTorch | PaddlePaddle | 备注 | | ||
| | ------------ | ------------ | ------------------------------------------------------------ | | ||
| | dim | axis | 表示 scatter 的维度，仅参数名不一致。 | | ||
| | index | indices | 表示输入的索引张量，仅参数名不一致。 | | ||
| | src | values | 表示需要插入的值，仅参数名不一致。 | | ||
| | reduce | reduce | 表示插入 values 时的计算方式，参数默认值不一致。PyTorch 中该参数无默认值，需要输入，Paddle 中默认值为 `assign`，应设置为与 PyTorch 一致。其中 PyTorch 的 `sum` 对应 Paddle 中的 `add`，PyTorch 的 `prod` 对应 Paddle 中 `multiply`。 | | ||
|
There was a problem hiding this comment. 此处 paddle 的 api 文档应该有误 There was a problem hiding this comment.
以代码为准就行 |
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| | include_self | include_self | 表示插入 values 时是否包含输入元素中的值。 | | ||
| | - | broadcast | 表示是否需要广播索引张量矩阵，PyTorch 无此参数，Paddle 应设置为 `False` 才与 PyTorch 一致 | | ||
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| ## [输入参数类型不一致]torch.block_diag | ||
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| ### [torch.block_diag](https://pytorch.org/docs/stable/generated/torch.block_diag.html#torch-block-diag) | ||
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| ```python | ||
| torch.block_diag(*tensors) | ||
| ``` | ||
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| ### [paddle.block_diag](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/api/paddle/block_diag_cn.html) | ||
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| ```python | ||
| paddle.block_diag(inputs, name=None) | ||
| ``` | ||
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| 二者功能一致但参数类型不一致，具体如下： | ||
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| ### 参数映射 | ||
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| | PyTorch | PaddlePaddle | 备注 | | ||
| | -------- | ------------ | ------------------------------------------------------------ | | ||
| | *tensors | inputs | 一组输入 Tensor，PyTorch 参数 tensors 为可变参数，Paddle 参数 inputs 为 list(Tensor) 或 tuple(Tensor) 的形式。 | | ||
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| ### 转写示例 | ||
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| #### *tensors：一组输入 Tensor | ||
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| ```python | ||
| # PyTorch 写法 | ||
| torch.block_diag(x, y, z) | ||
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| # Paddle 写法 | ||
| paddle.block_diag([x, y, z]) | ||
| ``` |
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| ## [组合替代实现]torch.can_cast | ||
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| ### [torch.can_cast](https://pytorch.org/docs/stable/generated/torch.can_cast.html#torch-can-cast) | ||
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| ```python | ||
| torch.can_cast(from_, to) | ||
| ``` | ||
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| 判断类型的转换在 PyTorch 的[casting 规则](https://pytorch.org/docs/stable/tensor_attributes.html#type-promotion-doc)中是否被允许。 | ||
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| Paddle 无此 API，需要组合实现。 | ||
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| ### 转写示例 | ||
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| ```python | ||
| # PyTorch 写法 | ||
| torch.can_cast(x, y) | ||
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| # Paddle 写法 | ||
| def can_cast(from_, to): | ||
| can_cast_dict = { | ||
| paddle.bfloat16: { | ||
| paddle.bfloat16: True, | ||
| paddle.float16: True, | ||
| paddle.float32: True, | ||
| paddle.float64: True, | ||
| paddle.complex64: True, | ||
| paddle.complex128: True, | ||
| paddle.uint8: False, | ||
| paddle.int8: False, | ||
| paddle.int16: False, | ||
| paddle.int32: False, | ||
| paddle.int64: False, | ||
| paddle.bool: False | ||
| }, | ||
| paddle.float16: { | ||
| paddle.bfloat16: True, | ||
| paddle.float16: True, | ||
| paddle.float32: True, | ||
| paddle.float64: True, | ||
| paddle.complex64: True, | ||
| paddle.complex128: True, | ||
| paddle.uint8: False, | ||
| paddle.int8: False, | ||
| paddle.int16: False, | ||
| paddle.int32: False, | ||
| paddle.int64: False, | ||
| paddle.bool: False, | ||
| }, | ||
| paddle.float32: { | ||
| paddle.bfloat16: True, | ||
| paddle.float16: True, | ||
| paddle.float32: True, | ||
| paddle.float64: True, | ||
| paddle.complex64: True, | ||
| paddle.complex128: True, | ||
| paddle.uint8: False, | ||
| paddle.int8: False, | ||
| paddle.int16: False, | ||
| paddle.int32: False, | ||
| paddle.int64: False, | ||
| paddle.bool: False, | ||
| }, | ||
| paddle.float64: { | ||
| paddle.bfloat16: True, | ||
| paddle.float16: True, | ||
| paddle.float32: True, | ||
| paddle.float64: True, | ||
| paddle.complex64: True, | ||
| paddle.complex128: True, | ||
| paddle.uint8: False, | ||
| paddle.int8: False, | ||
| paddle.int16: False, | ||
| paddle.int32: False, | ||
| paddle.int64: False, | ||
| paddle.bool: False, | ||
| }, | ||
| paddle.complex64: { | ||
| paddle.bfloat16: False, | ||
| paddle.float16: False, | ||
| paddle.float32: False, | ||
| paddle.float64: False, | ||
| paddle.complex64: True, | ||
| paddle.complex128: True, | ||
| paddle.uint8: False, | ||
| paddle.int8: False, | ||
| paddle.int16: False, | ||
| paddle.int32: False, | ||
| paddle.int64: False, | ||
| paddle.bool: False, | ||
| }, | ||
| paddle.complex128: { | ||
| paddle.bfloat16: False, | ||
| paddle.float16: False, | ||
| paddle.float32: False, | ||
| paddle.float64: False, | ||
| paddle.complex64: True, | ||
| paddle.complex128: True, | ||
| paddle.uint8: False, | ||
| paddle.int8: False, | ||
| paddle.int16: False, | ||
| paddle.int32: False, | ||
| paddle.int64: False, | ||
| paddle.bool: False, | ||
| }, | ||
| paddle.uint8: { | ||
| paddle.bfloat16: True, | ||
| paddle.float16: True, | ||
| paddle.float32: True, | ||
| paddle.float64: True, | ||
| paddle.complex64: True, | ||
| paddle.complex128: True, | ||
| paddle.uint8: True, | ||
| paddle.int8: True, | ||
| paddle.int16: True, | ||
| paddle.int32: True, | ||
| paddle.int64: True, | ||
| paddle.bool: False, | ||
| }, | ||
| paddle.int8: { | ||
| paddle.bfloat16: True, | ||
| paddle.float16: True, | ||
| paddle.float32: True, | ||
| paddle.float64: True, | ||
| paddle.complex64: True, | ||
| paddle.complex128: True, | ||
| paddle.uint8: True, | ||
| paddle.int8: True, | ||
| paddle.int16: True, | ||
| paddle.int32: True, | ||
| paddle.int64: True, | ||
| paddle.bool: False, | ||
| }, | ||
| paddle.int16: { | ||
| paddle.bfloat16: True, | ||
| paddle.float16: True, | ||
| paddle.float32: True, | ||
| paddle.float64: True, | ||
| paddle.complex64: True, | ||
| paddle.complex128: True, | ||
| paddle.uint8: True, | ||
| paddle.int8: True, | ||
| paddle.int16: True, | ||
| paddle.int32: True, | ||
| paddle.int64: True, | ||
| paddle.bool: False, | ||
| }, | ||
| paddle.int32: { | ||
| paddle.bfloat16: True, | ||
| paddle.float16: True, | ||
| paddle.float32: True, | ||
| paddle.float64: True, | ||
| paddle.complex64: True, | ||
| paddle.complex128: True, | ||
| paddle.uint8: True, | ||
| paddle.int8: True, | ||
| paddle.int16: True, | ||
| paddle.int32: True, | ||
| paddle.int64: True, | ||
| paddle.bool: False, | ||
| }, | ||
| paddle.int64: { | ||
| paddle.bfloat16: True, | ||
| paddle.float16: True, | ||
| paddle.float32: True, | ||
| paddle.float64: True, | ||
| paddle.complex64: True, | ||
| paddle.complex128: True, | ||
| paddle.uint8: True, | ||
| paddle.int8: True, | ||
| paddle.int16: True, | ||
| paddle.int32: True, | ||
| paddle.int64: True, | ||
| paddle.bool: False, | ||
| }, | ||
| paddle.bool: { | ||
| paddle.bfloat16: True, | ||
| paddle.float16: True, | ||
| paddle.float32: True, | ||
| paddle.float64: True, | ||
| paddle.complex64: True, | ||
| paddle.complex128: True, | ||
| paddle.uint8: True, | ||
| paddle.int8: True, | ||
| paddle.int16: True, | ||
| paddle.int32: True, | ||
| paddle.int64: True, | ||
| paddle.bool: True, | ||
| } | ||
| } | ||
| return can_cast_dict[from_][to] | ||
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| can_cast(x, y) | ||
|
There was a problem hiding this comment. 这个情况比较多，需要核对下，是不是与Torch结果一致的 There was a problem hiding this comment. 我写了一个测试代码，把示例中 import torch
can_cast_dict = {
torch.bfloat16: {
torch.bfloat16: True,
torch.float16: True,
torch.float32: True,
torch.float64: True,
torch.complex64: True,
torch.complex128: True,
torch.uint8: False,
torch.int8: False,
torch.int16: False,
torch.int32: False,
torch.int64: False,
torch.bool: False
},
torch.float16: {
torch.bfloat16: True,
torch.float16: True,
torch.float32: True,
torch.float64: True,
torch.complex64: True,
torch.complex128: True,
torch.uint8: False,
torch.int8: False,
torch.int16: False,
torch.int32: False,
torch.int64: False,
torch.bool: False,
},
torch.float32: {
torch.bfloat16: True,
torch.float16: True,
torch.float32: True,
torch.float64: True,
torch.complex64: True,
torch.complex128: True,
torch.uint8: False,
torch.int8: False,
torch.int16: False,
torch.int32: False,
torch.int64: False,
torch.bool: False,
},
torch.float64: {
torch.bfloat16: True,
torch.float16: True,
torch.float32: True,
torch.float64: True,
torch.complex64: True,
torch.complex128: True,
torch.uint8: False,
torch.int8: False,
torch.int16: False,
torch.int32: False,
torch.int64: False,
torch.bool: False,
},
torch.complex64: {
torch.bfloat16: False,
torch.float16: False,
torch.float32: False,
torch.float64: False,
torch.complex64: True,
torch.complex128: True,
torch.uint8: False,
torch.int8: False,
torch.int16: False,
torch.int32: False,
torch.int64: False,
torch.bool: False,
},
torch.complex128: {
torch.bfloat16: False,
torch.float16: False,
torch.float32: False,
torch.float64: False,
torch.complex64: True,
torch.complex128: True,
torch.uint8: False,
torch.int8: False,
torch.int16: False,
torch.int32: False,
torch.int64: False,
torch.bool: False,
},
torch.uint8: {
torch.bfloat16: True,
torch.float16: True,
torch.float32: True,
torch.float64: True,
torch.complex64: True,
torch.complex128: True,
torch.uint8: True,
torch.int8: True,
torch.int16: True,
torch.int32: True,
torch.int64: True,
torch.bool: False,
},
torch.int8: {
torch.bfloat16: True,
torch.float16: True,
torch.float32: True,
torch.float64: True,
torch.complex64: True,
torch.complex128: True,
torch.uint8: True,
torch.int8: True,
torch.int16: True,
torch.int32: True,
torch.int64: True,
torch.bool: False,
},
torch.int16: {
torch.bfloat16: True,
torch.float16: True,
torch.float32: True,
torch.float64: True,
torch.complex64: True,
torch.complex128: True,
torch.uint8: True,
torch.int8: True,
torch.int16: True,
torch.int32: True,
torch.int64: True,
torch.bool: False,
},
torch.int32: {
torch.bfloat16: True,
torch.float16: True,
torch.float32: True,
torch.float64: True,
torch.complex64: True,
torch.complex128: True,
torch.uint8: True,
torch.int8: True,
torch.int16: True,
torch.int32: True,
torch.int64: True,
torch.bool: False,
},
torch.int64: {
torch.bfloat16: True,
torch.float16: True,
torch.float32: True,
torch.float64: True,
torch.complex64: True,
torch.complex128: True,
torch.uint8: True,
torch.int8: True,
torch.int16: True,
torch.int32: True,
torch.int64: True,
torch.bool: False,
},
torch.bool: {
torch.bfloat16: True,
torch.float16: True,
torch.float32: True,
torch.float64: True,
torch.complex64: True,
torch.complex128: True,
torch.uint8: True,
torch.int8: True,
torch.int16: True,
torch.int32: True,
torch.int64: True,
torch.bool: True,
}
}
for _from_dtype in can_cast_dict.keys():
for _to_dtype in can_cast_dict[_from_dtype].keys():
assert torch.can_cast(_from_dtype, _to_dtype) == can_cast_dict[_from_dtype][_to_dtype], "can_cast error"
print(f"_from_dtype={_from_dtype}, _to_dtype={_to_dtype}")
print("can_cast test pass") |
||
| ``` | ||
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| ## [输入参数类型不一致]torch.cartesian_prod | ||
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| ### [torch.cartesian_prod](https://pytorch.org/docs/stable/generated/torch.cartesian_prod.html#torch-cartesian-prod) | ||
|
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| ```python | ||
| torch.cartesian_prod(*tensors) | ||
| ``` | ||
|
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| ### [paddle.cartesian_prod](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/api/paddle/cartesian_prod_cn.html) | ||
|
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| ```python | ||
| paddle.cartesian_prod(x, name=None) | ||
| ``` | ||
|
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| 两者功能一致但参数类型不一致，具体如下： | ||
|
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| ### 参数映射 | ||
|
|
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| | PyTorch | PaddlePaddle | 备注 | | ||
| | -------- | ------------ | ------------------------------------------------------------ | | ||
| | *tensors | x | 一组输入 Tensor ， PyTorch 参数 tensors 为可变参, Paddle 参数 x 为 list(Tensor) 或 tuple(Tensor) 的形式。 | | ||
|
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| ### 转写示例 | ||
|
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| #### *tensors：一组输入 Tensor | ||
|
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| ```python | ||
| # PyTorch 写法 | ||
| torch.cartesian_prod(a, b) | ||
|
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| # Paddle 写法 | ||
| paddle.cartesian_prod([a, b]) | ||
| ``` |
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这个api不是我负责的，我记错了把这个也改了。。。sorry
但是这么写应该也没问题