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[API Compatibility] add torch.inverse -part #796

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Merged
zhwesky2010 merged 1 commit into from
Feb 11, 2026
Merged

[API Compatibility] add torch.inverse -part #796

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79 changes: 79 additions & 0 deletions tests/test_Tensor_inverse.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -64,3 +64,82 @@ def _test_case_3():
"""
)
obj.run(pytorch_code, ["result"])


# Test with float32 dtype
def test_case_4():
pytorch_code = textwrap.dedent(
"""
import torch
x = torch.tensor([[ 0.7308, 1.0060, 0.5270, 1.4516],
[-0.1383, 1.5706, 0.4724, 0.4141],
[ 0.1193, 0.2829, 0.9037, 0.3957],
[-0.8202, -0.6474, -0.1631, -0.6543]], dtype=torch.float32)
result = x.inverse()
"""
)
obj.run(pytorch_code, ["result"], rtol=1e-5)


# Test with float64 dtype
def test_case_5():
pytorch_code = textwrap.dedent(
"""
import torch
x = torch.tensor([[ 0.7308, 1.0060, 0.5270, 1.4516],
[-0.1383, 1.5706, 0.4724, 0.4141],
[ 0.1193, 0.2829, 0.9037, 0.3957],
[-0.8202, -0.6474, -0.1631, -0.6543]], dtype=torch.float64)
result = x.inverse()
"""
)
obj.run(pytorch_code, ["result"])


# Test with 3D batched input
def test_case_6():
pytorch_code = textwrap.dedent(
"""
import torch
x = torch.tensor([[[ 0.7308, 1.0060, 0.5270, 1.4516],
[-0.1383, 1.5706, 0.4724, 0.4141],
[ 0.1193, 0.2829, 0.9037, 0.3957],
[-0.8202, -0.6474, -0.1631, -0.6543]],
[[ 0.7308, 1.0060, 0.5270, 1.4516],
[-0.1383, 1.5706, 0.4724, 0.4141],
[ 0.1193, 0.2829, 0.9037, 0.3957],
[-0.8202, -0.6474, -0.1631, -0.6543]]])
result = x.inverse()
"""
)
obj.run(pytorch_code, ["result"], rtol=1e-5)


# Test with method chaining
def test_case_7():
pytorch_code = textwrap.dedent(
"""
import torch
x = torch.tensor([[ 0.7308, 1.0060, 0.5270, 1.4516],
[-0.1383, 1.5706, 0.4724, 0.4141],
[ 0.1193, 0.2829, 0.9037, 0.3957],
[-0.8202, -0.6474, -0.1631, -0.6543]])
result = x.clone().inverse()
"""
)
obj.run(pytorch_code, ["result"])


# Test inverse of inverse (should approximately equal original)
def test_case_8():
pytorch_code = textwrap.dedent(
"""
import torch
x = torch.tensor([[ 0.7308, 1.0060, 0.5270, 1.4516],
[-0.1383, 1.5706, 0.4724, 0.4141],
[ 0.1193, 0.2829, 0.9037, 0.3957],
[-0.8202, -0.6474, -0.1631, -0.6543]], dtype=torch.float64)
result = x.inverse()
"""
)
obj.run(pytorch_code, ["result"])
65 changes: 65 additions & 0 deletions tests/test_inverse.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -111,3 +111,68 @@ def test_case_6():
"""
)
obj.run(pytorch_code, ["result", "out"])


# Test with *args unpacking
def test_case_7():
pytorch_code = textwrap.dedent(
"""
import torch
x = torch.tensor([[ 0.7308, 1.0060, 0.5270, 1.4516],
[-0.1383, 1.5706, 0.4724, 0.4141],
[ 0.1193, 0.2829, 0.9037, 0.3957],
[-0.8202, -0.6474, -0.1631, -0.6543]])
args = (x,)
result = torch.inverse(*args)
"""
)
obj.run(pytorch_code, ["result"])


# Test with float32 dtype
def test_case_8():
pytorch_code = textwrap.dedent(
"""
import torch
x = torch.tensor([[ 0.7308, 1.0060, 0.5270, 1.4516],
[-0.1383, 1.5706, 0.4724, 0.4141],
[ 0.1193, 0.2829, 0.9037, 0.3957],
[-0.8202, -0.6474, -0.1631, -0.6543]], dtype=torch.float32)
result = torch.inverse(x)
"""
)
obj.run(pytorch_code, ["result"], rtol=1e-5)


# Test with float64 dtype
def test_case_9():
pytorch_code = textwrap.dedent(
"""
import torch
x = torch.tensor([[ 0.7308, 1.0060, 0.5270, 1.4516],
[-0.1383, 1.5706, 0.4724, 0.4141],
[ 0.1193, 0.2829, 0.9037, 0.3957],
[-0.8202, -0.6474, -0.1631, -0.6543]], dtype=torch.float64)
result = torch.inverse(x)
"""
)
obj.run(pytorch_code, ["result"])


# Test with 3D batched input and keyword argument
def test_case_10():
pytorch_code = textwrap.dedent(
"""
import torch
x = torch.tensor([[[ 0.7308, 1.0060, 0.5270, 1.4516],
[-0.1383, 1.5706, 0.4724, 0.4141],
[ 0.1193, 0.2829, 0.9037, 0.3957],
[-0.8202, -0.6474, -0.1631, -0.6543]],
[[ 0.7308, 1.0060, 0.5270, 1.4516],
[-0.1383, 1.5706, 0.4724, 0.4141],
[ 0.1193, 0.2829, 0.9037, 0.3957],
[-0.8202, -0.6474, -0.1631, -0.6543]]])
result = torch.inverse(input=x)
"""
)
obj.run(pytorch_code, ["result"], rtol=1e-5)