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https://github.com/saymrwulf/stable-baselines3.git
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* Add auto formatting with black and isort * Reformat code * Ignore typing errors * Add note about line length * Add minimum version for isort * Add commit-checks * Update docker image * Fixed lost import (during last merge) * Fix opencv dependency
53 lines
2 KiB
Python
53 lines
2 KiB
Python
import warnings
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import numpy as np
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from gym import spaces
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from stable_baselines3.common.vec_env.base_vec_env import VecEnv, VecEnvWrapper
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class VecFrameStack(VecEnvWrapper):
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"""
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Frame stacking wrapper for vectorized environment
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:param venv: the vectorized environment to wrap
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:param n_stack: Number of frames to stack
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"""
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def __init__(self, venv: VecEnv, n_stack: int):
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self.venv = venv
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self.n_stack = n_stack
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wrapped_obs_space = venv.observation_space
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low = np.repeat(wrapped_obs_space.low, self.n_stack, axis=-1)
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high = np.repeat(wrapped_obs_space.high, self.n_stack, axis=-1)
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self.stackedobs = np.zeros((venv.num_envs,) + low.shape, low.dtype)
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observation_space = spaces.Box(low=low, high=high, dtype=venv.observation_space.dtype)
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VecEnvWrapper.__init__(self, venv, observation_space=observation_space)
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def step_wait(self):
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observations, rewards, dones, infos = self.venv.step_wait()
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last_ax_size = observations.shape[-1]
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self.stackedobs = np.roll(self.stackedobs, shift=-last_ax_size, axis=-1)
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for i, done in enumerate(dones):
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if done:
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if "terminal_observation" in infos[i]:
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old_terminal = infos[i]["terminal_observation"]
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new_terminal = np.concatenate((self.stackedobs[i, ..., :-last_ax_size], old_terminal), axis=-1)
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infos[i]["terminal_observation"] = new_terminal
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else:
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warnings.warn("VecFrameStack wrapping a VecEnv without terminal_observation info")
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self.stackedobs[i] = 0
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self.stackedobs[..., -observations.shape[-1] :] = observations
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return self.stackedobs, rewards, dones, infos
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def reset(self):
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"""
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Reset all environments
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"""
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obs = self.venv.reset()
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self.stackedobs[...] = 0
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self.stackedobs[..., -obs.shape[-1] :] = obs
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return self.stackedobs
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def close(self):
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self.venv.close()
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