tensorflow_datasets/rlds/robosuite_panda_pick_place_can/robosuite_panda_pick_place_can.py [94:117]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
              'Can_quat':
                  tfds.features.Tensor(shape=(4,), dtype=tf.float64),
              'Can_to_robot0_eef_pos':
                  tfds.features.Tensor(shape=(3,), dtype=tf.float64),
              'robot0_gripper_qvel':
                  tfds.features.Tensor(shape=(2,), dtype=tf.float64),
              'robot0_eef_pos':
                  tfds.features.Tensor(shape=(3,), dtype=tf.float64),
              'robot0_eef_quat':
                  tfds.features.Tensor(shape=(4,), dtype=tf.float64),
          },
          action_info=tfds.features.Tensor(shape=(7,), dtype=tf.float64),
          reward_info=tf.float64,
          discount_info=tf.float64,
          episode_metadata_info={
              'agent_id': tf.string,
              'episode_index': tf.int32,
              'episode_id': tf.string,
          },
          step_metadata_info={
              'tag:placed': tf.bool,
              'image': tfds.features.Image(),
          },
          citation=_CITATION,
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



tensorflow_datasets/rlds/robosuite_panda_pick_place_can/robosuite_panda_pick_place_can.py [162:185]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
              'Can_quat':
                  tfds.features.Tensor(shape=(4,), dtype=tf.float64),
              'Can_to_robot0_eef_pos':
                  tfds.features.Tensor(shape=(3,), dtype=tf.float64),
              'robot0_gripper_qvel':
                  tfds.features.Tensor(shape=(2,), dtype=tf.float64),
              'robot0_eef_pos':
                  tfds.features.Tensor(shape=(3,), dtype=tf.float64),
              'robot0_eef_quat':
                  tfds.features.Tensor(shape=(4,), dtype=tf.float64),
          },
          action_info=tfds.features.Tensor(shape=(7,), dtype=tf.float64),
          reward_info=tf.float64,
          discount_info=tf.float64,
          episode_metadata_info={
              'agent_id': tf.string,
              'episode_index': tf.int32,
              'episode_id': tf.string,
          },
          step_metadata_info={
              'tag:placed': tf.bool,
              'image': tfds.features.Image(),
          },
          citation=_CITATION,
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -