Unverified Commit b5d81f02 authored by Aditya Oke's avatar Aditya Oke Committed by GitHub
Browse files

Add JIT tests (#4472)


Co-authored-by: default avatarFrancisco Massa <fvsmassa@gmail.com>
parent a9d710a8
...@@ -959,6 +959,14 @@ class TestBoxArea: ...@@ -959,6 +959,14 @@ class TestBoxArea:
expected = torch.tensor([605113.875, 600495.1875, 592247.25]) expected = torch.tensor([605113.875, 600495.1875, 592247.25])
area_check(box_tensor, expected) area_check(box_tensor, expected)
def test_box_area_jit(self):
box_tensor = torch.tensor([[0, 0, 100, 100], [0, 0, 0, 0]], dtype=torch.float)
TOLERANCE = 1e-3
expected = ops.box_area(box_tensor)
scripted_fn = torch.jit.script(ops.box_area)
scripted_area = scripted_fn(box_tensor)
torch.testing.assert_close(scripted_area, expected, rtol=0.0, atol=TOLERANCE)
class TestBoxIou: class TestBoxIou:
def test_iou(self): def test_iou(self):
...@@ -980,6 +988,14 @@ class TestBoxIou: ...@@ -980,6 +988,14 @@ class TestBoxIou:
expected = torch.tensor([[1.0, 0.9933, 0.9673], [0.9933, 1.0, 0.9737], [0.9673, 0.9737, 1.0]]) expected = torch.tensor([[1.0, 0.9933, 0.9673], [0.9933, 1.0, 0.9737], [0.9673, 0.9737, 1.0]])
iou_check(box_tensor, expected, tolerance=0.002 if dtype == torch.float16 else 1e-4) iou_check(box_tensor, expected, tolerance=0.002 if dtype == torch.float16 else 1e-4)
def test_iou_jit(self):
box_tensor = torch.tensor([[0, 0, 100, 100], [0, 0, 50, 50], [200, 200, 300, 300]], dtype=torch.float)
TOLERANCE = 1e-3
expected = ops.box_iou(box_tensor, box_tensor)
scripted_fn = torch.jit.script(ops.box_iou)
scripted_iou = scripted_fn(box_tensor, box_tensor)
torch.testing.assert_close(scripted_iou, expected, rtol=0.0, atol=TOLERANCE)
class TestGenBoxIou: class TestGenBoxIou:
def test_gen_iou(self): def test_gen_iou(self):
...@@ -1001,6 +1017,14 @@ class TestGenBoxIou: ...@@ -1001,6 +1017,14 @@ class TestGenBoxIou:
expected = torch.tensor([[1.0, 0.9933, 0.9673], [0.9933, 1.0, 0.9737], [0.9673, 0.9737, 1.0]]) expected = torch.tensor([[1.0, 0.9933, 0.9673], [0.9933, 1.0, 0.9737], [0.9673, 0.9737, 1.0]])
gen_iou_check(box_tensor, expected, tolerance=0.002 if dtype == torch.float16 else 1e-3) gen_iou_check(box_tensor, expected, tolerance=0.002 if dtype == torch.float16 else 1e-3)
def test_giou_jit(self):
box_tensor = torch.tensor([[0, 0, 100, 100], [0, 0, 50, 50], [200, 200, 300, 300]], dtype=torch.float)
TOLERANCE = 1e-3
expected = ops.generalized_box_iou(box_tensor, box_tensor)
scripted_fn = torch.jit.script(ops.generalized_box_iou)
scripted_iou = scripted_fn(box_tensor, box_tensor)
torch.testing.assert_close(scripted_iou, expected, rtol=0.0, atol=TOLERANCE)
class TestMasksToBoxes: class TestMasksToBoxes:
def test_masks_box(self): def test_masks_box(self):
......
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment