Fix warp kernel error in isaac sim

This commit is contained in:
Balakumar Sundaralingam
2024-06-28 18:25:07 -07:00
parent ec527d77e9
commit 14b554bf36
6 changed files with 47 additions and 9 deletions

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@@ -17,6 +17,9 @@ its affiliates is strictly prohibited.
newer warp versions. newer warp versions.
- Add override option to mpc dataclass. - Add override option to mpc dataclass.
- Fix bug in ``PoseCost.forward_pose()`` which caused ``torch_layers_example.py`` to fail. - Fix bug in ``PoseCost.forward_pose()`` which caused ``torch_layers_example.py`` to fail.
- Add warp constants to make module hash depend on robot dof, for modules that generate runtime
warp kernels. This fixes issues using cuRobo in isaac sim.
- Add ``plan_config.timeout`` check to ``plan_single_js()``.
## Version 0.7.3 ## Version 0.7.3

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@@ -23,7 +23,7 @@ from curobo.types.robot import JointState
from curobo.types.tensor import T_DOF from curobo.types.tensor import T_DOF
from curobo.util.logger import log_error from curobo.util.logger import log_error
from curobo.util.torch_utils import get_cache_fn_decorator, get_torch_jit_decorator from curobo.util.torch_utils import get_cache_fn_decorator, get_torch_jit_decorator
from curobo.util.warp import init_warp from curobo.util.warp import init_warp, warp_support_kernel_key
# Local Folder # Local Folder
from .cost_base import CostBase, CostConfig from .cost_base import CostBase, CostConfig
@@ -106,8 +106,15 @@ class BoundCost(CostBase, BoundCostConfig):
) )
self._out_gv_buffer = self._out_ga_buffer = self._out_gj_buffer = empty_buffer self._out_gv_buffer = self._out_ga_buffer = self._out_gj_buffer = empty_buffer
if self.use_l2_kernel: if self.use_l2_kernel:
if not warp_support_kernel_key():
# define a compile-time constant so that warp hash is different for different dof
# this is required in older warp versions < 1.2.1 as warp hash didn't consider the
# name of kernels. Newer warp versions have fixed this issue.
WARP_CUROBO_BOUNDCOST_DOF_GLOBAL_CONSTANT = wp.constant(self.dof)
if self.cost_type == BoundCostType.POSITION: if self.cost_type == BoundCostType.POSITION:
self._l2_cost = make_bound_pos_kernel(self.dof) self._l2_cost = make_bound_pos_kernel(self.dof)
if self.cost_type == BoundCostType.BOUNDS_SMOOTH: if self.cost_type == BoundCostType.BOUNDS_SMOOTH:
self._l2_cost = make_bound_pos_smooth_kernel(self.dof) self._l2_cost = make_bound_pos_smooth_kernel(self.dof)
@@ -1552,8 +1559,8 @@ def make_bound_pos_smooth_kernel(dof_template: int):
module = wp.get_module(forward_bound_smooth_loop_warp.__module__) module = wp.get_module(forward_bound_smooth_loop_warp.__module__)
key = "forward_bound_smooth_loop_warp_" + str(dof_template) key = "forward_bound_smooth_loop_warp_" + str(dof_template)
new_kernel = wp.Kernel(forward_bound_smooth_loop_warp, key=key, module=module)
return wp.Kernel(forward_bound_smooth_loop_warp, key=key, module=module) return new_kernel
@get_cache_fn_decorator() @get_cache_fn_decorator()
@@ -1650,6 +1657,7 @@ def make_bound_pos_kernel(dof_template: int):
for i in range(dof_template): for i in range(dof_template):
out_grad_p[b_addrs + i] = g_p[i] out_grad_p[b_addrs + i] = g_p[i]
module = wp.get_module(forward_bound_pos_loop_warp.__module__) wp_module = wp.get_module(forward_bound_pos_loop_warp.__module__)
key = "forward_bound_pos_loop_warp_" + str(dof_template) key = "bound_pos_loop_warp_" + str(dof_template)
return wp.Kernel(forward_bound_pos_loop_warp, key=key, module=module) new_kernel = wp.Kernel(forward_bound_pos_loop_warp, key=key, module=wp_module)
return new_kernel

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@@ -20,7 +20,7 @@ import warp as wp
# CuRobo # CuRobo
from curobo.util.logger import log_error from curobo.util.logger import log_error
from curobo.util.torch_utils import get_cache_fn_decorator, get_torch_jit_decorator from curobo.util.torch_utils import get_cache_fn_decorator, get_torch_jit_decorator
from curobo.util.warp import init_warp from curobo.util.warp import init_warp, warp_support_kernel_key
# Local Folder # Local Folder
from .cost_base import CostBase, CostConfig from .cost_base import CostBase, CostConfig
@@ -226,7 +226,8 @@ def make_l2_kernel(dof_template: int):
module = wp.get_module(forward_l2_loop_warp.__module__) module = wp.get_module(forward_l2_loop_warp.__module__)
key = "forward_l2_loop" + str(dof_template) key = "forward_l2_loop" + str(dof_template)
return wp.Kernel(forward_l2_loop_warp, key=key, module=module) new_kernel = wp.Kernel(forward_l2_loop_warp, key=key, module=module)
return new_kernel
# create a bound cost tensor: # create a bound cost tensor:
@@ -342,6 +343,12 @@ class DistCost(CostBase, DistCostConfig):
self._init_post_config() self._init_post_config()
init_warp() init_warp()
if self.use_l2_kernel: if self.use_l2_kernel:
if not warp_support_kernel_key():
# define a compile-time constant so that warp hash is different for different dof
# this is required in older warp versions < 1.2.1 as warp hash didn't consider the
# name of kernels. Newer warp versions have fixed this issue.
WARP_CUROBO_DISTCOST_DOF_GLOBAL_CONSTANT = wp.constant(self.dof)
self._l2_dof_kernel = make_l2_kernel(self.dof) self._l2_dof_kernel = make_l2_kernel(self.dof)
def _init_post_config(self): def _init_post_config(self):

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@@ -45,3 +45,18 @@ def warp_support_sdf_struct(wp_module=None):
) )
return False return False
return True return True
def warp_support_kernel_key(wp_module=None):
if wp_module is None:
wp_module = wp
wp_version = wp_module.config.version
if version.parse(wp_version) < version.parse("1.2.1"):
log_info(
"Warp version is "
+ wp_version
+ " < 1.2.1, using, creating global constant to trigger kernel generation."
)
return False
return True

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@@ -155,6 +155,8 @@ def get_files_from_dir(dir_path, extension: List[str], contains: str):
def file_exists(path): def file_exists(path):
if path is None:
return False
isExist = os.path.exists(path) isExist = os.path.exists(path)
return isExist return isExist

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@@ -123,7 +123,6 @@ class MotionGenConfig:
#: instance of trajectory optimization solver for final fine tuning for joint space targets. #: instance of trajectory optimization solver for final fine tuning for joint space targets.
finetune_js_trajopt_solver: TrajOptSolver finetune_js_trajopt_solver: TrajOptSolver
#: instance of trajectory optimization solver for final fine tuning. #: instance of trajectory optimization solver for final fine tuning.
finetune_trajopt_solver: TrajOptSolver finetune_trajopt_solver: TrajOptSolver
@@ -2031,6 +2030,8 @@ class MotionGen(MotionGenConfig):
attribute to see if the query was successful. attribute to see if the query was successful.
""" """
start_time = time.time()
time_dict = { time_dict = {
"solve_time": 0, "solve_time": 0,
"ik_time": 0, "ik_time": 0,
@@ -2083,6 +2084,8 @@ class MotionGen(MotionGenConfig):
break break
if not result.valid_query: if not result.valid_query:
break break
if time.time() - start_time > plan_config.timeout:
break
result.graph_time = time_dict["graph_time"] result.graph_time = time_dict["graph_time"]
result.finetune_time = time_dict["finetune_time"] result.finetune_time = time_dict["finetune_time"]