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[Accuracy diff No.128] Fix accuracy diff for paddle.nn.functional.softmax_with_cross_entropy API #317

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Merged
merged 1 commit into from
Jun 23, 2025
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[Accuracy diff No.128] Fix accuracy diff for paddle.nn.functional.softmax_with_cross_entropy API #317

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12 changes: 6 additions & 6 deletions tester/paddle_to_torch/rules.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5718,10 +5718,10 @@ def apply(self, paddle_api: str) -> ConvertResult:
axis = axis if axis >= 0 else logits.dim() + axis

ogits = logits.transpose(axis, -1)
orig_shape = ogits.shape
abel = label.transpose(axis, -1)

logits_flat = ogits.reshape(-1, ogits.shape[-1])
label_flat = label.reshape(-1)
label_flat = abel.reshape(-1)
if numeric_stable_mode:
max_logits = torch.max(logits_flat, dim=-1, keepdim=True).values
logits_flat = logits_flat - max_logits
Expand All @@ -5734,13 +5734,13 @@ def apply(self, paddle_api: str) -> ConvertResult:
ignore_index=ignore_index
)
if loss.ndim < ogits.ndim:
loss = loss.reshape(*ogits.shape[:-1])
loss = loss.reshape(*ogits.shape[:-1]).unsqueeze(-1).transpose(-1, axis)
if return_softmax:
softmax = torch.nn.functional.softmax(logits, dim=-1)
softmax = torch.nn.functional.softmax(ogits, dim=-1)
softmax = softmax.transpose(-1, axis).contiguous()
result = (loss.unsqueeze(axis), softmax)
result = (loss, softmax)
else:
result = loss.reshape(*label.shape)
result = loss
"""
code = Code(core=core.splitlines())
return ConvertResult.success(paddle_api, code, is_torch_corresponding=False)
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