Remove warnings about the use of save_fn across trainers (#408)
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c19876179a
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2
setup.py
2
setup.py
@ -67,7 +67,7 @@ setup(
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"pydocstyle",
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"doc8",
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],
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"atari": ["atari_py", "cv2"],
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"atari": ["atari_py", "opencv-python"],
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"mujoco": ["mujoco_py"],
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"pybullet": ["pybullet"],
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},
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@ -1,6 +1,5 @@
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import time
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import tqdm
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import warnings
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import numpy as np
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from collections import defaultdict
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from typing import Dict, Union, Callable, Optional
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@ -68,9 +67,6 @@ def offline_trainer(
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:return: See :func:`~tianshou.trainer.gather_info`.
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"""
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if save_fn:
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warnings.warn("Please consider using save_checkpoint_fn instead of save_fn.")
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start_epoch, gradient_step = 0, 0
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if resume_from_log:
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start_epoch, _, gradient_step = logger.restore_data()
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@ -1,6 +1,5 @@
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import time
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import tqdm
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import warnings
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import numpy as np
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from collections import defaultdict
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from typing import Dict, Union, Callable, Optional
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@ -83,9 +82,6 @@ def offpolicy_trainer(
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:return: See :func:`~tianshou.trainer.gather_info`.
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"""
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if save_fn:
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warnings.warn("Please consider using save_checkpoint_fn instead of save_fn.")
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start_epoch, env_step, gradient_step = 0, 0, 0
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if resume_from_log:
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start_epoch, env_step, gradient_step = logger.restore_data()
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@ -1,6 +1,5 @@
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import time
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import tqdm
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import warnings
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import numpy as np
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from collections import defaultdict
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from typing import Dict, Union, Callable, Optional
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@ -89,9 +88,6 @@ def onpolicy_trainer(
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Only either one of step_per_collect and episode_per_collect can be specified.
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"""
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if save_fn:
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warnings.warn("Please consider using save_checkpoint_fn instead of save_fn.")
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start_epoch, env_step, gradient_step = 0, 0, 0
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if resume_from_log:
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start_epoch, env_step, gradient_step = logger.restore_data()
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