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Seeding update (#2422)

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* Ditch most of the seeding.py and replace np_random with the numpy default_rng. Let's see if tests pass

* Updated a bunch of RNG calls from the RandomState API to Generator API

* black; didn't expect that, did ya?

* Undo a typo

* blaaack

* More typo fixes

* Fixed setting/getting state in multidiscrete spaces

* Fix typo, fix a test to work with the new sampling

* Correctly (?) pass the randomly generated seed if np_random is called with None as seed

* Convert the Discrete sample to a python int (as opposed to np.int64)

* Remove some redundant imports

* First version of the compatibility layer for old-style RNG. Mainly to trigger tests.

* Removed redundant f-strings

* Style fixes, removing unused imports

* Try to make tests pass by removing atari from the dockerfile

* Try to make tests pass by removing atari from the setup

* Try to make tests pass by removing atari from the setup

* Try to make tests pass by removing atari from the setup

* First attempt at deprecating `env.seed` and supporting `env.reset(seed=seed)` instead. Tests should hopefully pass but throw up a million warnings.

* black; didn't expect that, didya?

* Rename the reset parameter in VecEnvs back to `seed`

* Updated tests to use the new seeding method

* Removed a bunch of old `seed` calls.

Fixed a bug in AsyncVectorEnv

* Stop Discrete envs from doing part of the setup (and using the randomness) in init (as opposed to reset)

* Add explicit seed to wrappers reset

* Remove an accidental return

* Re-add some legacy functions with a warning.

* Use deprecation instead of regular warnings for the newly deprecated methods/functions
This commit is contained in:
Ariel Kwiatkowski
2021-12-08 22:14:15 +01:00
committed by GitHub
parent b84b69c872
commit c364506710
59 changed files with 386 additions and 294 deletions
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8
gym/wrappers/atari_preprocessing.py
View File

@@ -1,3 +1,5 @@
from typing import Optional
import numpy as np
import gym
from gym.spaces import Box
@@ -127,11 +129,11 @@ class AtariPreprocessing(gym.Wrapper):
self.ale.getScreenRGB(self.obs_buffer[0])
return self._get_obs(), R, done, info
def reset(self, **kwargs):
def reset(self, seed: Optional[int] = None, **kwargs):
# NoopReset
self.env.reset(**kwargs)
self.env.reset(seed=seed, **kwargs)
noops = (
self.env.unwrapped.np_random.randint(1, self.noop_max + 1)
self.env.unwrapped.np_random.integers(1, self.noop_max + 1)
if self.noop_max > 0
else 0
)