🤖 Lint code

ivy-llc · Oct 15, 2023 · 4154713 · 4154713
1 parent cf97926
commit 4154713
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Showing 2 changed files with 49 additions and 49 deletions.
diff --git a/ivy/functional/frontends/torchvision/ops.py b/ivy/functional/frontends/torchvision/ops.py
@@ -3,21 +3,6 @@
 from ivy.func_wrapper import with_supported_dtypes, with_unsupported_device_and_dtypes
 
 
-@to_ivy_arrays_and_back
-def nms(boxes, scores, iou_threshold):
-    return ivy.nms(boxes, scores, iou_threshold)
-
-
-@with_supported_dtypes({"2.1.0 and below": ("float32", "float64")}, "torch")
-@to_ivy_arrays_and_back
-def roi_align(
-    input, boxes, output_size, spatial_scale=1.0, sampling_ratio=1, aligned=False
-):
-    return ivy.roi_align(
-        input, boxes, output_size, spatial_scale, sampling_ratio, aligned
-    )
-
-
 @with_unsupported_device_and_dtypes(
     {
         "2.1.0 and below": {
@@ -33,3 +18,18 @@ def clip_boxes_to_image(boxes, size):
     boxes_y = boxes[..., 1::2].clip(0, height)
     clipped_boxes = ivy.stack([boxes_x, boxes_y], axis=-1)
     return clipped_boxes.reshape(boxes.shape).astype(boxes.dtype)
+
+
+@to_ivy_arrays_and_back
+def nms(boxes, scores, iou_threshold):
+    return ivy.nms(boxes, scores, iou_threshold)
+
+
+@with_supported_dtypes({"2.1.0 and below": ("float32", "float64")}, "torch")
+@to_ivy_arrays_and_back
+def roi_align(
+    input, boxes, output_size, spatial_scale=1.0, sampling_ratio=1, aligned=False
+):
+    return ivy.roi_align(
+        input, boxes, output_size, spatial_scale, sampling_ratio, aligned
+    )
diff --git a/ivy_tests/test_ivy/test_frontends/test_torchvision/test_ops.py b/ivy_tests/test_ivy/test_frontends/test_torchvision/test_ops.py
@@ -82,6 +82,40 @@ def _roi_align_helper(draw):
 # ------------ #
 
 
+@handle_frontend_test(
+    fn_tree="torchvision.ops.clip_boxes_to_image",
+    boxes=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("valid"),
+        shape=st.tuples(helpers.ints(min_value=1, max_value=5), st.just(4)),
+    ),
+    size=st.tuples(
+        helpers.ints(min_value=1, max_value=256),
+        helpers.ints(min_value=1, max_value=256),
+    ),
+)
+def test_torchvision_clip_boxes_to_image(
+    *,
+    boxes,
+    size,
+    on_device,
+    fn_tree,
+    frontend,
+    test_flags,
+    backend_fw,
+):
+    dtype, boxes = boxes
+    helpers.test_frontend_function(
+        input_dtypes=dtype,
+        backend_to_test=backend_fw,
+        frontend=frontend,
+        test_flags=test_flags,
+        fn_tree=fn_tree,
+        on_device=on_device,
+        boxes=boxes[0],
+        size=size,
+    )
+
+
 # nms
 @handle_frontend_test(
     fn_tree="torchvision.ops.nms",
@@ -143,37 +177,3 @@ def test_torchvision_roi_align(
         rtol=1e-5,
         atol=1e-5,
     )
-
-
-@handle_frontend_test(
-    fn_tree="torchvision.ops.clip_boxes_to_image",
-    boxes=helpers.dtype_and_values(
-        available_dtypes=helpers.get_dtypes("valid"),
-        shape=st.tuples(helpers.ints(min_value=1, max_value=5),
-                        st.just(4))
-    ),
-    size=st.tuples(
-        helpers.ints(min_value=1, max_value=256),
-        helpers.ints(min_value=1, max_value=256)),
-)
-def test_torchvision_clip_boxes_to_image(
-    *,
-    boxes,
-    size,
-    on_device,
-    fn_tree,
-    frontend,
-    test_flags,
-    backend_fw,
-):
-    dtype, boxes = boxes
-    helpers.test_frontend_function(
-        input_dtypes=dtype,
-        backend_to_test=backend_fw,
-        frontend=frontend,
-        test_flags=test_flags,
-        fn_tree=fn_tree,
-        on_device=on_device,
-        boxes=boxes[0],
-        size=size
-    )