[Accuracy diff No.15] Fix accuracy diff for cumprod API

[ooooo-create]

PR Category

Execute Infrastructure

PR Types

Improvements

Description

• Torch 和 numpy 在 dtype 为 None，处理输入时，如果输入整数精度小于平台的默认整数时，会使用平台默认整数，cast 成 int64
• PaddleApiTest 通过
  

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[ooooo-create]

/re-run build

[ooooo-create]

/re-run xpu

[luotao1]

API-benchmark一直没过

[lshpku]

这段代码涉及几次dict查找，比较耗时，过不了API性能监控（这个CI查得很严，python性能也要管），建议你可以在文件的适当地方定义一个纯DataType的set，像这样：

_supported_int_like_types = {
    DataType.BOOL,
    DataType.INT8,
    DataType.INT16,
    DataType.INT32,
    DataType.INT64,
    DataType.UINT8
}

然后在这里直接判断：

if x.dtype in _supported_int_like_types:
    x = cast(x, "int64")

当然能不能过CI还要你自己试一下

[ooooo-create]

Thanks!我试一下~

[ooooo-create]

这样改了发现还是不能过耶，其实我们也可以通过手动设置 dtype 来达到 paddle 和 torch api 之间的切换，这样看起来也不算是精度问题吧，属于 api 设计的考量？目前可能去 paddleAPITest 仓库进行修改更加合适～

[ooooo-create]

提交了 PaddleAPITest 的修改 pr : PFCCLab/PaddleAPITest#212

[codecov-commenter]

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Sorry to inform you that 7ed04a4's CIs have passed for more than 7 days. To prevent PR conflicts, you need to re-run all CIs manually.

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Sorry to inform you that 9ade7fb's CIs have passed for more than 7 days. To prevent PR conflicts, you need to re-run all CIs manually.