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Just FYI, as part of the migration / maintenance of MetaWorld, it might be important to take care of this numpy warning.
MetaWorld
numpy
I've ran tests for all 50 metaworld envs for commit c822f28, and it occurs on dial-turn-v2, door-open-v2, hammer-v2 and lever-pull-v2.
dial-turn-v2
door-open-v2
hammer-v2
lever-pull-v2
Here's an example stack trace from one of my tests:
self = <metaworld.envs.mujoco.sawyer_xyz.v2.sawyer_lever_pull_v2.SawyerLeverPullEnvV2 object at 0x7f330a01ebe0> obs = array([ 0.0058129 , 0.39943335, 0.19429615, 1. , 0.14983521, 0.58119154, 0.24981888, 0.66279996, ... , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ]) action = array([ 0.2889182 , -0.93614006, -0.69611247, -0.55025635]) @_assert_task_is_set def evaluate_state(self, obs, action): ( reward, shoulder_to_lever, ready_to_lift, lever_error, lever_engagement, ) = self.compute_reward(action, obs) info = { > "success": float(lever_error <= np.pi / 24), "near_object": float(shoulder_to_lever < 0.03), "grasp_success": float(ready_to_lift > 0.9), "grasp_reward": ready_to_lift, "in_place_reward": lever_engagement, "obj_to_target": shoulder_to_lever, "unscaled_reward": reward, } E DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) ../../anaconda3/envs/rlcore/lib/python3.9/site-packages/metaworld/envs/mujoco/sawyer_xyz/v2/sawyer_lever_pull_v2.py:79: DeprecationWarning
It's harmless for now (I think), but it might break the code after a future version of numpy
The text was updated successfully, but these errors were encountered:
This should be fixed by #475
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Just FYI, as part of the migration / maintenance of
MetaWorld
, it might be important to take care of thisnumpy
warning.I've ran tests for all 50 metaworld envs for commit c822f28, and it occurs on
dial-turn-v2
,door-open-v2
,hammer-v2
andlever-pull-v2
.Here's an example stack trace from one of my tests:
It's harmless for now (I think), but it might break the code after a future version of
numpy
The text was updated successfully, but these errors were encountered: