Skip to content

[API Compatibility] add torch.relu #802

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
Manfredss wants to merge 7 commits into from
Closed

[API Compatibility] add torch.relu #802

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
7 commits
Select commit Hold shift + click to select a range
705f213
add torch.nn.functional.relu, relu_, leaky_relu and leaky_relu_
Manfredss Jan 11, 2026
8fe8bda
Merge branch 'master' of https://github.com/paddlepaddle/paconvert in…
Manfredss Jan 26, 2026
2c18427
[API Compatibility] Mark relu and leaky_relu APIs as aligned
Manfredss Jan 26, 2026
f3dca27
enhance tests for api relu, relu_, leaky_relu and leaky_relu_
Manfredss Feb 4, 2026
ea420a2
fix
Manfredss Feb 4, 2026
25e4727
add torch.relu with ChangePrefixMatcher
Manfredss Feb 13, 2026
f0eeb64
Merge branch 'master' of https://github.com/paddlepaddle/paconvert in…
Manfredss Feb 28, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
10 changes: 1 addition & 9 deletions paconvert/api_mapping.json
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -11006,15 +11006,7 @@
"Matcher": "ChangePrefixMatcher"
},
"torch.relu": {
"Matcher": "GenericMatcher",
"paddle_api": "paddle.nn.functional.relu",
"min_input_args": 1,
"args_list": [
"input"
],
"kwargs_change": {
"input": "x"
}
"Matcher": "ChangePrefixMatcher"
},
"torch.remainder": {
"Matcher": "ChangePrefixMatcher"
Expand Down
130 changes: 130 additions & 0 deletions tests/test_nn_functional_leaky_relu.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -124,3 +124,133 @@ def test_case_8():
"""
)
obj.run(pytorch_code, ["result"])


def test_case_9():
"""1D tensor input"""
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn.functional as F
x = torch.tensor([-1.5, -0.5, 0.0, 0.5, 1.5])
result = F.leaky_relu(x)
"""
)
obj.run(pytorch_code, ["result"])


def test_case_10():
"""2D tensor input"""
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn.functional as F
x = torch.tensor([[-1.0, 2.0], [3.0, -4.0]])
result = F.leaky_relu(x, 0.1)
"""
)
obj.run(pytorch_code, ["result"])


def test_case_11():
"""float64 dtype"""
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn.functional as F
x = torch.tensor([-1.5, -0.5, 0.0, 0.5, 1.5], dtype=torch.float64)
result = F.leaky_relu(x, negative_slope=0.2)
"""
)
obj.run(pytorch_code, ["result"])


def test_case_12():
"""4D tensor (batch, channel, height, width)"""
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn.functional as F
x = torch.tensor([[[[-1.0, 2.0], [3.0, -4.0]], [[0.5, -0.5], [-1.5, 1.5]]]])
result = F.leaky_relu(x, 0.1)
"""
)
obj.run(pytorch_code, ["result"])


def test_case_13():
"""All negative values"""
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn.functional as F
x = torch.tensor([-1.0, -2.0, -3.0, -4.0])
result = F.leaky_relu(x, 0.2)
"""
)
obj.run(pytorch_code, ["result"])


def test_case_14():
"""Default negative_slope (0.01)"""
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn.functional as F
x = torch.tensor([-10.0, -5.0, 0.0, 5.0, 10.0])
result = F.leaky_relu(x)
"""
)
obj.run(pytorch_code, ["result"])


def test_case_15():
"""Small negative_slope"""
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn.functional as F
x = torch.tensor([-1.0, 0.0, 1.0, 2.0])
result = F.leaky_relu(x, 0.05)
"""
)
obj.run(pytorch_code, ["result"])


def test_case_16():
"""Large negative_slope"""
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn.functional as F
x = torch.tensor([-2.0, -1.0, 0.0, 1.0, 2.0])
result = F.leaky_relu(x, negative_slope=0.5)
"""
)
obj.run(pytorch_code, ["result"])


def test_case_17():
"""Expression as input"""
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn.functional as F
x = torch.tensor([1.0, 2.0, 3.0])
result = F.leaky_relu(x - 2.0, 0.1)
"""
)
obj.run(pytorch_code, ["result"])


def test_case_18():
"""3D tensor"""
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn.functional as F
x = torch.tensor([[[-1.0, 0.5, 1.0], [2.0, -0.5, -1.5]]])
result = F.leaky_relu(x, negative_slope=0.15)
"""
)
obj.run(pytorch_code, ["result"])
91 changes: 91 additions & 0 deletions tests/test_nn_functional_leaky_relu_.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -95,3 +95,94 @@ def test_case_6():
"""
)
obj.run(pytorch_code, ["x"])


def test_case_7():
"""1D tensor input"""
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn.functional as F
x = torch.tensor([-1.5, -0.5, 0.0, 0.5, 1.5])
F.leaky_relu_(x)
"""
)
obj.run(pytorch_code, ["x"])


def test_case_8():
"""2D tensor input"""
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn.functional as F
x = torch.tensor([[-1.0, 2.0], [3.0, -4.0]])
F.leaky_relu_(x, 0.1)
"""
)
obj.run(pytorch_code, ["x"])


def test_case_9():
"""float64 dtype"""
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn.functional as F
x = torch.tensor([-1.5, -0.5, 0.0, 0.5, 1.5], dtype=torch.float64)
F.leaky_relu_(x, negative_slope=0.2)
"""
)
obj.run(pytorch_code, ["x"])


def test_case_10():
"""4D tensor (batch, channel, height, width)"""
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn.functional as F
x = torch.tensor([[[[-1.0, 2.0], [3.0, -4.0]], [[0.5, -0.5], [-1.5, 1.5]]]])
F.leaky_relu_(x, 0.1)
"""
)
obj.run(pytorch_code, ["x"])


def test_case_11():
"""All negative values"""
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn.functional as F
x = torch.tensor([-1.0, -2.0, -3.0, -4.0])
F.leaky_relu_(x, 0.2)
"""
)
obj.run(pytorch_code, ["x"])


def test_case_12():
"""3D tensor"""
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn.functional as F
x = torch.tensor([[[-1.0, 0.5, 1.0], [2.0, -0.5, -1.5]]])
F.leaky_relu_(x, negative_slope=0.15)
"""
)
obj.run(pytorch_code, ["x"])


def test_case_13():
"""Large negative_slope"""
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn.functional as F
x = torch.tensor([-2.0, -1.0, 0.0, 1.0, 2.0])
F.leaky_relu_(x, negative_slope=0.5)
"""
)
obj.run(pytorch_code, ["x"])
130 changes: 130 additions & 0 deletions tests/test_nn_functional_relu.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -153,3 +153,133 @@ def test_case_10():
"""
)
obj.run(pytorch_code, ["result"])


def test_case_11():
"""1D tensor input"""
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn.functional as F
x = torch.tensor([-1.5, -0.5, 0.0, 0.5, 1.5])
result = F.relu(x)
"""
)
obj.run(pytorch_code, ["result"])


def test_case_12():
"""2D tensor input"""
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn.functional as F
x = torch.tensor([[-1.0, 2.0], [3.0, -4.0]])
result = F.relu(x)
"""
)
obj.run(pytorch_code, ["result"])


def test_case_13():
"""float64 dtype"""
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn.functional as F
x = torch.tensor([-1.5, -0.5, 0.0, 0.5, 1.5], dtype=torch.float64)
result = F.relu(x)
"""
)
obj.run(pytorch_code, ["result"])


def test_case_14():
"""4D tensor (batch, channel, height, width)"""
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn.functional as F
x = torch.tensor([[[[-1.0, 2.0], [3.0, -4.0]], [[0.5, -0.5], [-1.5, 1.5]]]])
result = F.relu(x)
"""
)
obj.run(pytorch_code, ["result"])


def test_case_15():
"""All negative values"""
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn.functional as F
x = torch.tensor([-1.0, -2.0, -3.0, -4.0])
result = F.relu(x)
"""
)
obj.run(pytorch_code, ["result"])


def test_case_16():
"""All positive values"""
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn.functional as F
x = torch.tensor([1.0, 2.0, 3.0, 4.0])
result = F.relu(x)
"""
)
obj.run(pytorch_code, ["result"])


def test_case_17():
"""All zeros"""
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn.functional as F
x = torch.tensor([0.0, 0.0, 0.0])
result = F.relu(x)
"""
)
obj.run(pytorch_code, ["result"])


def test_case_18():
"""Mixed positive and negative values"""
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn.functional as F
x = torch.tensor([-1.0, 0.0, 1.0, 2.0])
result = F.relu(x)
"""
)
obj.run(pytorch_code, ["result"])


def test_case_19():
"""Variable as input"""
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn.functional as F
data = torch.tensor([-2.0, -1.0, 0.0, 1.0, 2.0])
result = F.relu(data)
"""
)
obj.run(pytorch_code, ["result"])


def test_case_20():
Copy link
Copy Markdown
Collaborator

@zhwesky2010 zhwesky2010 Mar 10, 2026

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

测试case精简下吧，如果没有明确的调用方式变化就不用加。

"""Expression as input"""
pytorch_code = textwrap.dedent(
"""
import torch
import torch.nn.functional as F
x = torch.tensor([1.0, 2.0, 3.0])
result = F.relu(x - 2.0)
"""
)
obj.run(pytorch_code, ["result"])
Loading