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[Accuracy diff No.18、81、82] Fix accuracy diff for paddle.diag、paddle.diagflat API #269

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Merged
cangtianhuang merged 1 commit into from
Jun 17, 2025
Merged

[Accuracy diff No.18、81、82] Fix accuracy diff for paddle.diag、paddle.diagflat API #269

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25 changes: 8 additions & 17 deletions tester/paddle_to_torch/rules.py
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Original file line number Diff line number Diff line change
Expand Up @@ -52,10 +52,7 @@ def _compile(cls, code_lines: List[str]) -> Optional[types.CodeType]:
"""代码编译方法"""
if not code_lines:
return None
try:
return compile("\n".join(code_lines), "<string>", "exec")
except SyntaxError as e:
raise SyntaxError(f"Syntax error in code: {e.msg}") from e
return compile("\n".join(code_lines), "<string>", "exec")

def is_valid(self) -> bool:
"""检查代码是否编译成功"""
Expand Down Expand Up @@ -1468,19 +1465,13 @@ class DiagRule(BaseRule):
def apply(self, paddle_api: str) -> ConvertResult:
defaults_code, _ = self.apply_generic()
core = """
if x.ndim == 1:
out = torch.diag(x, diagonal=offset)
if padding_value != 0:
diag_mask = torch.diag(torch.ones_like(x), diagonal=offset)
full_shape = out.shape
diag_mask = torch.diag(torch.ones(x.shape[0], dtype=torch.bool), diagonal=offset)
diag_mask = diag_mask[:full_shape[0], :full_shape[1]]
out = torch.where(diag_mask.bool(), out, torch.tensor(padding_value, dtype=out.dtype, device=out.device))
result = out
elif x.ndim == 2:
result = torch.diagonal(x, offset=offset)
"""
code = Code(core=defaults_code + core.splitlines())
result = torch.diag(x, diagonal=offset)
if x.ndim == 1 and padding_value != 0:
padding_value = torch.tensor(padding_value, dtype=x.dtype)
diag_mask = torch.diag(torch.ones_like(x), diagonal=offset)
result = torch.where(diag_mask.bool(), result, padding_value)
"""
code = Code(preprocess=defaults_code, core=core.splitlines())
return ConvertResult.success(paddle_api, code)


Expand Down