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[API Compatibility] 19 apis #893

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11e5526
enhance tensor.nanmean test
algorithm1832 Jun 26, 2026
d067248
8 apis
algorithm1832 Jun 26, 2026
fb75f3a
merge branch master
algorithm1832 Jun 26, 2026
d27ad79
tensor.backward and case
algorithm1832 Jun 26, 2026
5b532f8
3 apis
algorithm1832 Jun 26, 2026
8b78914
7 apis
algorithm1832 Jun 26, 2026
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202 changes: 20 additions & 182 deletions paconvert/api_mapping.json
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Original file line number Diff line number Diff line change
Expand Up @@ -600,22 +600,7 @@
"Matcher": "ChangePrefixMatcher"
},
"torch.Tensor.backward": {
"Matcher": "GenericMatcher",
"paddle_api": "paddle.Tensor.backward",
"min_input_args": 0,
"args_list": [
"gradient",
"retain_graph",
"create_graph",
"inputs"
],
"kwargs_change": {
"gradient": "grad_tensor"
},
"unsupport_args": [
"create_graph",
"inputs"
]
"Matcher": "ChangePrefixMatcher"
},
"torch.Tensor.baddbmm": {
"Matcher": "ChangePrefixMatcher"
Expand Down Expand Up @@ -1689,9 +1674,7 @@
"Matcher": "ChangePrefixMatcher"
},
"torch.Tensor.movedim": {
"Matcher": "ChangeAPIMatcher",
"paddle_api": "paddle.Tensor.moveaxis",
"min_input_args": 2
"Matcher": "ChangePrefixMatcher"
},
"torch.Tensor.msort": {
"Matcher": "ChangePrefixMatcher"
Expand Down Expand Up @@ -1731,18 +1714,7 @@
"Matcher": "ChangePrefixMatcher"
},
"torch.Tensor.nanmean": {
"Matcher": "GenericMatcher",
"paddle_api": "paddle.Tensor.nanmean",
"min_input_args": 0,
"args_list": [
"dim",
"keepdim",
"*",
"dtype"
],
"kwargs_change": {
"dim": "axis"
}
"Matcher": "ChangePrefixMatcher"
},
"torch.Tensor.nanmedian": {
"Matcher": "GenericMatcher",
Expand All @@ -1763,19 +1735,7 @@
"Matcher": "ChangePrefixMatcher"
},
"torch.Tensor.nansum": {
"Matcher": "GenericMatcher",
"paddle_api": "paddle.Tensor.nansum",
"min_input_args": 0,
"args_list": [
"dim",
"keepdim",
"*",
"dtype"
],
"kwargs_change": {
"dim": "axis",
"dtype": "dtype"
}
"Matcher": "ChangePrefixMatcher"
},
"torch.Tensor.narrow": {
"Matcher": "ChangePrefixMatcher"
Expand Down Expand Up @@ -3604,17 +3564,7 @@
"Matcher": "ChangePrefixMatcher"
},
"torch.clone": {
"Matcher": "GenericMatcher",
"paddle_api": "paddle.clone",
"min_input_args": 1,
"args_list": [
"input",
"*",
"memory_format"
],
"kwargs_change": {
"input": "x"
}
"Matcher": "ChangePrefixMatcher"
},
"torch.column_stack": {
"Matcher": "GenericMatcher",
Expand Down Expand Up @@ -5679,8 +5629,7 @@
]
},
"torch.initial_seed": {
"Matcher": "SeedMatcher",
"min_input_args": 0
"Matcher": "ChangePrefixMatcher"
},
"torch.inner": {
"Matcher": "ChangePrefixMatcher"
Expand Down Expand Up @@ -6586,17 +6535,7 @@
}
},
"torch.movedim": {
"Matcher": "GenericMatcher",
"paddle_api": "paddle.moveaxis",
"min_input_args": 3,
"args_list": [
"input",
"source",
"destination"
],
"kwargs_change": {
"input": "x"
}
"Matcher": "ChangePrefixMatcher"
},
"torch.msort": {
"Matcher": "ChangePrefixMatcher"
Expand Down Expand Up @@ -6668,21 +6607,7 @@
}
},
"torch.nanmean": {
"Matcher": "GenericMatcher",
"paddle_api": "paddle.nanmean",
"min_input_args": 1,
"args_list": [
"input",
"dim",
"keepdim",
"*",
"dtype",
"out"
],
"kwargs_change": {
"input": "x",
"dim": "axis"
}
"Matcher": "ChangePrefixMatcher"
},
"torch.nanmedian": {
"Matcher": "ChangeAPIMatcher",
Expand All @@ -6692,22 +6617,7 @@
"Matcher": "ChangePrefixMatcher"
},
"torch.nansum": {
"Matcher": "GenericMatcher",
"paddle_api": "paddle.nansum",
"min_input_args": 1,
"args_list": [
"input",
"dim",
"keepdim",
"*",
"dtype",
"out"
],
"kwargs_change": {
"input": "x",
"dim": "axis",
"dtype": "dtype"
}
"Matcher": "ChangePrefixMatcher"
},
"torch.narrow": {
"Matcher": "ChangePrefixMatcher"
Expand Down Expand Up @@ -9248,6 +9158,9 @@
"torch.nn.init.orthogonal_": {
"Matcher": "ChangePrefixMatcher"
},
"torch.nn.init.sparse_": {
"Matcher": "ChangePrefixMatcher"
},
"torch.nn.init.trunc_normal_": {
"Matcher": "ChangePrefixMatcher"
},
Expand Down Expand Up @@ -9931,29 +9844,10 @@
]
},
"torch.optim.lr_scheduler.CosineAnnealingLR": {
"Matcher": "Optim2LrSchedulerMatcher",
"paddle_api": "paddle.optimizer.lr.CosineAnnealingDecay",
"min_input_args": 2,
"args_list": [
"optimizer",
"T_max",
"eta_min",
"last_epoch",
"verbose"
]
"Matcher": "ChangePrefixMatcher"
},
"torch.optim.lr_scheduler.CosineAnnealingWarmRestarts": {
"Matcher": "Optim2LrSchedulerMatcher",
"paddle_api": "paddle.optimizer.lr.CosineAnnealingWarmRestarts",
"min_input_args": 2,
"args_list": [
"optimizer",
"T_0",
"T_mult",
"eta_min",
"last_epoch",
"verbose"
]
"Matcher": "ChangePrefixMatcher"
},
"torch.optim.lr_scheduler.CyclicLR": {
"Matcher": "LRSchedulerMatcher",
Expand Down Expand Up @@ -9990,15 +9884,7 @@
}
},
"torch.optim.lr_scheduler.ExponentialLR": {
"Matcher": "Optim2LrSchedulerMatcher",
"paddle_api": "paddle.optimizer.lr.ExponentialDecay",
"min_input_args": 2,
"args_list": [
"optimizer",
"gamma",
"last_epoch",
"verbose"
]
"Matcher": "ChangePrefixMatcher"
},
"torch.optim.lr_scheduler.LambdaLR": {
"Matcher": "Optim2LrSchedulerMatcher",
Expand Down Expand Up @@ -10031,16 +9917,7 @@
}
},
"torch.optim.lr_scheduler.MultiStepLR": {
"Matcher": "Optim2LrSchedulerMatcher",
"paddle_api": "paddle.optimizer.lr.MultiStepDecay",
"min_input_args": 2,
"args_list": [
"optimizer",
"milestones",
"gamma",
"last_epoch",
"verbose"
]
"Matcher": "ChangePrefixMatcher"
},
"torch.optim.lr_scheduler.MultiplicativeLR": {
"Matcher": "Optim2LrSchedulerMatcher",
Expand Down Expand Up @@ -10086,36 +9963,10 @@
]
},
"torch.optim.lr_scheduler.ReduceLROnPlateau": {
"Matcher": "Optim2LrSchedulerMatcher",
"paddle_api": "paddle.optimizer.lr.ReduceOnPlateau",
"min_input_args": 1,
"args_list": [
"optimizer",
"mode",
"factor",
"patience",
"threshold",
"threshold_mode",
"cooldown",
"min_lr",
"eps",
"verbose"
],
"kwargs_change": {
"eps": "epsilon"
}
"Matcher": "ChangePrefixMatcher"
},
"torch.optim.lr_scheduler.StepLR": {
"Matcher": "Optim2LrSchedulerMatcher",
"paddle_api": "paddle.optimizer.lr.StepDecay",
"min_input_args": 2,
"args_list": [
"optimizer",
"step_size",
"gamma",
"last_epoch",
"verbose"
]
"Matcher": "ChangePrefixMatcher"
},
"torch.ormqr": {
"Matcher": "GenericMatcher",
Expand Down Expand Up @@ -10527,15 +10378,7 @@
}
},
"torch.set_rng_state": {
"Matcher": "GenericMatcher",
"paddle_api": "paddle.set_rng_state",
"min_input_args": 1,
"args_list": [
"new_state"
],
"kwargs_change": {
"new_state": "state_list"
}
"Matcher": "ChangePrefixMatcher"
},
"torch.sgn": {
"Matcher": "GenericMatcher",
Expand Down Expand Up @@ -11679,12 +11522,7 @@
]
},
"torch.utils.data.TensorDataset": {
"Matcher": "TensorDatasetMatcher",
"paddle_api": "paddle.io.TensorDataset",
"min_input_args": 1,
"args_list": [
"*tensors"
]
"Matcher": "ChangePrefixMatcher"
},
"torch.utils.data.WeightedRandomSampler": {
"Matcher": "GenericMatcher",
Expand Down
7 changes: 0 additions & 7 deletions paconvert/api_matcher.py
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Original file line number Diff line number Diff line change
Expand Up @@ -566,13 +566,6 @@ def generate_code(self, kwargs):
return code


class TensorNbytesMatcher(BaseMatcher):
def get_paddle_class_attribute_nodes(self, node):
self.parse_func(node)
code = "{}.size * {}.element_size()".format(self.paddleClass, self.paddleClass)
return ast.parse(code).body


class DimOrderMatcher(BaseMatcher):
def generate_code(self, kwargs):
API_TEMPLATE = textwrap.dedent(
Expand Down
2 changes: 1 addition & 1 deletion paconvert/attribute_mapping.json
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Original file line number Diff line number Diff line change
Expand Up @@ -51,7 +51,7 @@
},
"torch.Tensor.names": {},
"torch.Tensor.nbytes": {
"Matcher": "TensorNbytesMatcher"
"Matcher": "ChangePrefixMatcher"
},
"torch.Tensor.ndim": {
"Matcher": "ChangePrefixMatcher"
Expand Down
15 changes: 15 additions & 0 deletions tests/test_Tensor_backward.py
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Original file line number Diff line number Diff line change
Expand Up @@ -90,3 +90,18 @@ def test_case_5():
"""
)
obj.run(pytorch_code, ["result"])


def test_case_6():
# Create graph=True
pytorch_code = textwrap.dedent(
"""
import torch
a = torch.tensor([1., 2., 3.], requires_grad=True)
out = a ** 2
out.sum().backward(create_graph=True)
a.grad = torch.tensor(a.grad, requires_grad=True)
result = a.grad
"""
)
obj.run(pytorch_code, ["result"])
2 changes: 1 addition & 1 deletion tests/test_Tensor_nanmean.py
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Original file line number Diff line number Diff line change
Expand Up @@ -81,7 +81,7 @@ def test_case_6():
import torch
input = torch.tensor([[1, 2], [3., float("nan")]])
dim, keepdim = 1, False
result = input.nanmean(dim, keepdim=keepdim)
result = input.nanmean(dtype=torch.float64)
"""
)
obj.run(pytorch_code, ["result"])
Expand Down
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