update pose inverse for goalset

src/curobo/geom/transform.py

@@ -941,7 +941,6 @@ def forward(
         adj_position: torch.Tensor,
         adj_quaternion: torch.Tensor,
     ):
-        b, _ = position.shape
 
         if out_position is None:
             out_position = torch.zeros_like(position)
@@ -951,7 +950,8 @@ def forward(
             adj_position = torch.zeros_like(position)
         if adj_quaternion is None:
             adj_quaternion = torch.zeros_like(quaternion)
-
+        b, _ = position.view(-1, 3).shape
+        ctx.b = b
         init_warp()
         ctx.save_for_backward(
             position,
@@ -961,7 +961,6 @@ def forward(
             adj_position,
             adj_quaternion,
         )
-        ctx.b = b
 
         wp.launch(
             kernel=compute_pose_inverse,
@@ -976,9 +975,6 @@ def forward(
             ],
             stream=wp.stream_from_torch(position.device),
         )
-        # remove close to zero values:
-        # out_position[torch.abs(out_position)<1e-8] = 0.0
-        # out_quaternion[torch.abs(out_quaternion)<1e-8] = 0.0
 
         return out_position, out_quaternion
 

src/curobo/types/math.py

@@ -365,7 +365,9 @@ def linear_distance(self, other_pose: Pose):
 
     @profiler.record_function("pose/multiply")
     def multiply(self, other_pose: Pose):
-        if self.shape == other_pose.shape or (self.shape[0] == 1 and other_pose.shape[0] > 1):
+        if self.shape == other_pose.shape or (
+            (self.shape[0] == 1 and other_pose.shape[0] > 1) and len(other_pose.shape) == 2
+        ):
             p3, q3 = pose_multiply(
                 self.position, self.quaternion, other_pose.position, other_pose.quaternion
             )

tests/motion_gen_constrained_test.py

@@ -30,23 +30,29 @@ def motion_gen(request):
     tensor_args = TensorDeviceType()
     world_file = "collision_table.yml"
     robot_file = "franka.yml"
+
     motion_gen_config = MotionGenConfig.load_from_robot_config(
         robot_file,
         world_file,
         tensor_args,
         use_cuda_graph=True,
-        project_pose_to_goal_frame=request.param,
+        project_pose_to_goal_frame=request.param[0],
     )
     motion_gen_instance = MotionGen(motion_gen_config)
-    motion_gen_instance.warmup(enable_graph=False, warmup_js_trajopt=False)
+
+    motion_gen_instance.warmup(
+        enable_graph=False, warmup_js_trajopt=False, n_goalset=request.param[1]
+    )
     return motion_gen_instance
 
 
 @pytest.mark.parametrize(
     "motion_gen",
     [
-        (True),
-        (False),
+        ([True, -1]),
+        ([False, -1]),
+        ([True, 10]),
+        ([False, 10]),
     ],
     indirect=True,
 )
@@ -77,8 +83,10 @@ def test_approach_grasp_pose(motion_gen):
 @pytest.mark.parametrize(
     "motion_gen",
     [
-        (True),
-        (False),
+        ([True, -1]),
+        ([False, -1]),
+        ([True, 10]),
+        ([False, 10]),
     ],
     indirect=True,
 )
@@ -112,8 +120,10 @@ def test_reach_only_position(motion_gen):
 @pytest.mark.parametrize(
     "motion_gen",
     [
-        (True),
-        (False),
+        ([True, -1]),
+        ([False, -1]),
+        ([True, 10]),
+        ([False, 10]),
     ],
     indirect=True,
 )
@@ -147,8 +157,10 @@ def test_reach_only_orientation(motion_gen):
 @pytest.mark.parametrize(
     "motion_gen",
     [
-        (True),
-        (False),
+        ([True, -1]),
+        ([False, -1]),
+        ([True, 10]),
+        ([False, 10]),
     ],
     indirect=True,
 )
@@ -186,8 +198,10 @@ def test_hold_orientation(motion_gen):
 @pytest.mark.parametrize(
     "motion_gen",
     [
-        (True),
-        (False),
+        ([True, -1]),
+        ([False, -1]),
+        ([True, 10]),
+        ([False, 10]),
     ],
     indirect=True,
 )
@@ -224,8 +238,10 @@ def test_hold_position(motion_gen):
 @pytest.mark.parametrize(
     "motion_gen",
     [
-        (False),
-        (True),
+        ([True, -1]),
+        ([False, -1]),
+        ([True, 10]),
+        ([False, 10]),
     ],
     indirect=True,
 )
@@ -276,8 +292,10 @@ def test_hold_partial_pose(motion_gen):
 @pytest.mark.parametrize(
     "motion_gen",
     [
-        (False),
-        (True),
+        ([True, -1]),
+        ([False, -1]),
+        ([True, 10]),
+        ([False, 10]),
     ],
     indirect=True,
 )