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[Fix] Replace _C_ops with _legacy_C_ops #2494

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Aug 31, 2022
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[Fix] Replace _C_ops with _legacy_C_ops #2494

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16 changes: 12 additions & 4 deletions paddleseg/models/losses/lovasz_loss.py
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Original file line number Diff line number Diff line change
Expand Up @@ -124,8 +124,12 @@ def lovasz_hinge_flat(logits, labels):
signs = 2. * labels - 1.
signs.stop_gradient = True
errors = 1. - logits * signs
errors_sorted, perm = paddle._C_ops.argsort(errors, 'axis', 0, 'descending',
True)
if hasattr(paddle, "_legacy_C_ops"):
errors_sorted, perm = paddle._legacy_C_ops.argsort(errors, 'axis', 0,
'descending', True)
else:
errors_sorted, perm = paddle._C_ops.argsort(errors, 'axis', 0,
'descending', True)
errors_sorted.stop_gradient = False
gt_sorted = paddle.gather(labels, perm)
grad = lovasz_grad(gt_sorted)
Expand Down Expand Up @@ -181,8 +185,12 @@ def lovasz_softmax_flat(probas, labels, classes='present'):
else:
class_pred = probas[:, c]
errors = paddle.abs(fg - class_pred)
errors_sorted, perm = paddle._C_ops.argsort(errors, 'axis', 0,
'descending', True)
if hasattr(paddle, "_legacy_C_ops"):
errors_sorted, perm = paddle._legacy_C_ops.argsort(
errors, 'axis', 0, 'descending', True)
else:
errors_sorted, perm = paddle._C_ops.argsort(errors, 'axis', 0,
'descending', True)
errors_sorted.stop_gradient = False

fg_sorted = paddle.gather(fg, perm)
Expand Down