new architecture

This commit is contained in:
wls2002
2024-01-27 00:52:39 +08:00
parent 4efe9a53c1
commit aac41a089d
65 changed files with 1651 additions and 1783 deletions

View File

@@ -1,28 +1,13 @@
from dataclasses import dataclass
from typing import Callable
import jax.numpy as jnp
from brax import envs
from core import State
from .rl_jit import RLEnv, RLEnvConfig
@dataclass(frozen=True)
class BraxConfig(RLEnvConfig):
env_name: str = "ant"
backend: str = "generalized"
def __post_init__(self):
# TODO: Check if env_name is registered
# assert self.env_name in gymnax.registered_envs, f"Env {self.env_name} not registered"
pass
from .rl_jit import RLEnv
class BraxEnv(RLEnv):
def __init__(self, config: BraxConfig = BraxConfig()):
super().__init__(config)
self.config = config
self.env = envs.create(env_name=config.env_name, backend=config.backend)
def __init__(self, env_name: str = "ant", backend: str = "generalized"):
super().__init__()
self.env = envs.create(env_name=env_name, backend=backend)
def env_step(self, randkey, env_state, action):
state = self.env.step(env_state, action)
@@ -40,9 +25,7 @@ class BraxEnv(RLEnv):
def output_shape(self):
return (self.env.action_size,)
def show(self, randkey, state: State, act_func: Callable, params, save_path=None, height=512, width=512,
duration=0.1, *args,
**kwargs):
def show(self, randkey, state, act_func, params, save_path=None, height=512, width=512, duration=0.1, *args, **kwargs):
import jax
import imageio
@@ -56,8 +39,7 @@ class BraxEnv(RLEnv):
def step(key, env_state, obs):
key, _ = jax.random.split(key)
net_out = act_func(state, obs, params)
action = self.config.output_transform(net_out)
action = act_func(state, obs, params)
obs, env_state, r, done, _ = self.step(randkey, env_state, action)
return key, env_state, obs, r, done
@@ -72,7 +54,6 @@ class BraxEnv(RLEnv):
def create_gif(image_list, gif_name, duration):
with imageio.get_writer(gif_name, mode='I', duration=duration) as writer:
for image in image_list:
# 确保图像的数据类型正确
formatted_image = np.array(image, dtype=np.uint8)
writer.append_data(formatted_image)