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Avoid unnecessary import (gin, gym) #1570

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Avoid unnecessary import (gin, gym) #1570

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059a767
Avoid unnecessary import (gin, gym)
emailweixu Dec 4, 2023
17bd976
Fix tests
emailweixu Dec 4, 2023
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8 changes: 5 additions & 3 deletions alf/config_util.py
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Original file line number Diff line number Diff line change
Expand Up @@ -15,14 +15,17 @@

from absl import logging
import functools
import gin
import inspect
from inspect import Parameter
import os
import pprint
import runpy
import shutil

USE_GIN = os.environ.get('ALF_USE_GIN', "1") == "1"
if USE_GIN:
import gin

__all__ = [
'config',
'config1',
Expand Down Expand Up @@ -611,8 +614,7 @@ def _decorate(fn_or_cls, name, whitelist, blacklist):
else:
fn_or_cls = _make_wrapper(fn_or_cls, configs, signature, has_self=0)

if fn_or_cls.__module__ != '<run_path>' and os.environ.get(
'ALF_USE_GIN', "1") == "1":
if fn_or_cls.__module__ != '<run_path>' and USE_GIN:
# If a file is executed using runpy.run_path(), the module name is
# '<run_path>', which is not an acceptable name by gin.
return gin.configurable(
Expand Down
17 changes: 11 additions & 6 deletions alf/environments/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,6 @@
import random

import alf
from alf.environments import suite_gym
from alf.environments import thread_environment, parallel_environment, fast_parallel_environment
from alf.environments import alf_wrappers

Expand Down Expand Up @@ -89,8 +88,8 @@ def _env_constructor(env_load_fn, env_name, batch_size_per_env, seed, env_id):


@alf.configurable
def create_environment(env_name='CartPole-v0',
env_load_fn=suite_gym.load,
def create_environment(env_name=None,
env_load_fn=None,
eval_env_load_fn=None,
for_evaluation=False,
num_parallel_environments=30,
Expand All @@ -108,10 +107,10 @@ def create_environment(env_name='CartPole-v0',
"""Create a batched environment.

Args:
env_name (str|list[str]): env name. If it is a list, ``MultitaskWrapper``
env_name (str|list[str]): env name (e.g 'CartPole-v0'). If it is a list, ``MultitaskWrapper``
will be used to create multi-task environments. Each one of them
consists of the environments listed in ``env_name``.
env_load_fn (Callable) : callable that create an environment
env_load_fn (Callable) : callable that create an environment (e.g. suite_gym.load)
If env_load_fn has attribute ``batched`` and it is True,
``evn_load_fn(env_name, env_id=env_id, batch_size=batch_size_per_env)``
will be used to create the batched environment. Otherwise,
Expand Down Expand Up @@ -172,6 +171,12 @@ def create_environment(env_name='CartPole-v0',

"""

if env_name is None:
env_name = 'CartPole-v0'
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@Haichao-Zhang Haichao-Zhang Dec 4, 2023 •
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This seems to be the same as using CartPole-v0 as the default value for the argument env_name? Not sure if there is any particular reason for this change.

if env_load_fn is None:
from alf.environments import suite_gym
env_load_fn = suite_gym.load

if for_evaluation:
# for creating an evaluation environment, use ``eval_env_load_fn`` if
# provided and fall back to ``env_load_fn`` otherwise
Expand Down Expand Up @@ -266,7 +271,7 @@ def create_environment(env_name='CartPole-v0',

@alf.configurable
def load_with_random_max_episode_steps(env_name,
env_load_fn=suite_gym.load,
env_load_fn,
min_steps=200,
max_steps=250):
"""Create environment with random max_episode_steps in range
Expand Down
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