[API compatibility] argsort, chunk, any

[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	param1	alias1	param2	alias2
paddle.any	x	input	axis	dim
paddle.Tensor.any	axis	dim
paddle.argsort	x	input	axis	dim
paddle.argsort	axis	dim
paddle.chunk	x	input	axis	dim
paddle.Tensor.chunk	axis	dim

Usage Example:

# Traditional Paddle call
output = paddle.chunk(input=tensor_x, dim=1)

# New PyTorch-compatible call
output = paddle.chunk(x=tensor_x, axis=1)

2. Added PyTorch-compatible parameter out

paddle.any and paddle.Tensor.any。

def any(
        x: Tensor,
        axis: int | Sequence[int] | None = None,
        keepdim: bool = False,
        name: str | None = None,
        *,
        out: Tensor | None = None
    ) -> Tensor

pcard-67164

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[DongBaiYue]

/re-run all-failed

[DongBaiYue]

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[DongBaiYue]

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[DongBaiYue]

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[DongBaiYue]

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[codecov-commenter]

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Additional details and impacted files

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[DongBaiYue]

/re-run all-failed

[wanghuancoder]

LGTM

[DongBaiYue]

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[DongBaiYue]

/re-run build

[DongBaiYue]

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[DongBaiYue]

/re-run all-failed

[DongBaiYue]

/re-run all-failed

[wanghuancoder]

LGTM