[API compatibility] torch.as_tensor, torch.finfo, torch.is_complex, torch.nn.functional.pad

[DongBaiYue]

PR Category

Operator Mechanism

PR Types

Improvements

Description

This PR introduces PyTorch API compatibility aliases and resolves type checking issues:

1. Added PyTorch-compatible parameter aliases:

API	param	alias
torch.as_tensor	place	device
torch.finfo	dtype	type
torch.is_complex	x	input
torch.nn.functional.pad	x	input

Usage Example:

# Traditional Paddle call t1 = paddle.to_tensor([1, 2], place=paddle.CPUPlace()) # New PyTorch-compatible call t2 = paddle.to_tensor([1, 2], device=paddle.CPUPlace()) # Maps to `place=paddle.CPUPlace()` 

2. Fixed DecoratorBase Type Annotation
   in python/paddle/utils/decorator_utils.py, Modified type hint from _DecoratedFunc[_P, _R] to _F to pass the following test:

from mypy import api code = """ import paddle a = paddle.to_tensor(data=.123456789) """ # 检查字符串形式的代码 result = api.run(["-c", code]) # 结果包含三部分 stdout, stderr, exit_status = result print("标准输出:", stdout) print("标准错误:", stderr) print("退出状态:", exit_status) # 0 表示成功，1 表示类型错误 

Others

Added comprehensive unittests for all new alias parameters.

docs pr

pcard-67164

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[DongBaiYue]

/re-run all-failed