[API Compatibility No.114] support torch-style kwarg input for paddle.masked_fill via decorator -part#77801
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zhwesky2010 merged 2 commits intoPaddlePaddle:developfrom Feb 15, 2026
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| paddle.enable_static() | ||
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| def test_dygraph_duplicate_args(self): |
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已删除 test_dygraph_duplicate_args 测试方法。
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| # Test masked_fill compatibility | ||
| class TestMaskedFillAPI(unittest.TestCase): |
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挪到上面去，随机一个位置，不然很容易发生冲突
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已将 TestMaskedFillAPI 挪到 TestSquareAPI 之后（文件中间位置），避免冲突。
….masked_fill via decorator -part Add @param_one_alias(["x", "input"]) decorator on masked_fill() to support PyTorch-style paddle.masked_fill(input=x, mask=mask, value=v). Use decorator approach instead of C++ sink (python_api_info.yaml) because masked_fill's C++ op requires Tensor value but the Python API accepts scalar, and C++ sink would bypass the scalar-to-Tensor conversion. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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@PaddlePaddle/ci-team 这次 #77801 做了两次 no-code 重新触发后，原先的 Linux-XPU/Linux-build/Mac-CPU 均已通过，但出现两个连续的非代码类失败，申请协助基础设施侧处理或管理员重跑：
PR 本次代码未改动（仅空提交触发 CI）。请帮忙看下是否可按 infra 波动处理并重跑，谢谢。 |
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/re-run all-failed |
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/re-run slice |
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/re-run all-failed |
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PR Category
User Experience
PR Types
New features
Description
Add PyTorch-style
inputkeyword argument alias forpaddle.masked_fillvia@param_one_alias(["x", "input"])decorator.After this PR, the following calls are equivalent:
paddle.masked_fill(x, mask, value)paddle.masked_fill(x=x, mask=mask, value=value)paddle.masked_fill(input=x, mask=mask, value=value)(PyTorch style)C++ sink (python_api_info.yaml) is not viable because masked_fill's C++ op requires Tensor value but the Python API accepts scalar; registering via yaml bypasses the scalar-to-Tensor conversion.
Related Issue: #76301 (Task No.114)
是否引起精度变化
否