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When I run below code in the tutorial Chapter “Autotuning”,
# Import the compiler_gym namespaceimportcompiler_gym# Create an LLVM CompilerGym environmentenv=compiler_gym.make("llvm-v0")
# Set the benchmark. We'll use cBench/susanenv.reset(benchmark="benchmark://cbench-v1/susan")
# We'll use IrInstructionCount as reward and observationenv.observation_space="IrInstructionCount"env.reward_space="IrInstructionCount"print(f"Total instructions at start = {env.observation['IrInstructionCount']}")
# Here we do our hill climbing. We'll do one hundred steps.num_steps=100foriinrange(num_steps):
# We will need to back track if the action isn't good for us.# In CompilerGym, you can `fork` an environment and kill it later if you # don't like it. That will allow us tohave the same effect as having `back`.candidate=env.fork()
# We will choose a rancdom action from the action spaceaction=candidate.action_space.sample()
# And now apply it to the programobservation, reward, done, info=candidate.step(action)
print(f"{i}: Action {action} = {candidate.action_space.names[action]}", end="")
print(f" gave reward {reward} for total instructions {observation}", end="")
print(f". Accept = {reward>0}")
ifreward<=0:
# If we don't like it we can throw it away.candidate.close()
else:
# If we like it, we can replace `env` with it.env.close()
env=candidate
I met such reported errors in the console,
/home/rain/anaconda3/lib/python3.11/site-packages/gym/utils/passive_env_checker.py:195: UserWarning: WARN: The result returned by `env.reset()` was not a tuple of the form `(obs, info)`, where `obs` is a observation and `info` is a dictionary containing additional information. Actual type: `<class 'str'>`
logger.warn(
Total instructions at start = 13282
Traceback (most recent call last):
File "/home/rain/PycharmProjects/CompilerGymPractice/main.py", line 61, in <module>
candidate = env.fork()
^^^^^^^^^^
File "/home/rain/anaconda3/lib/python3.11/site-packages/compiler_gym/envs/compiler_env.py", line 599, in fork
new_env.reward.spaces = deepcopy(self.reward.spaces)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/rain/anaconda3/lib/python3.11/copy.py", line 146, in deepcopy
y = copier(x, memo)
^^^^^^^^^^^^^^^
File "/home/rain/anaconda3/lib/python3.11/copy.py", line 231, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
^^^^^^^^^^^^^^^^^^^^^
File "/home/rain/anaconda3/lib/python3.11/copy.py", line 172, in deepcopy
y = _reconstruct(x, memo, *rv)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/rain/anaconda3/lib/python3.11/copy.py", line 273, in _reconstruct
y.__setstate__(state)
File "/home/rain/anaconda3/lib/python3.11/site-packages/gym/spaces/space.py", line 125, in __setstate__
state = dict(state)
^^^^^^^^^^^
TypeError: cannot convert dictionary update sequence element #0 to a sequence
ERROR: Killing a service with 2 active sessions!
Exception ignored in: <function CompilerEnv.__del__ at 0x7f8bebe89a80>
Traceback (most recent call last):
File "/home/rain/anaconda3/lib/python3.11/site-packages/compiler_gym/envs/compiler_env.py", line 670, in __del__
File "/home/rain/anaconda3/lib/python3.11/site-packages/compiler_gym/envs/compiler_env.py", line 661, in close
File "/home/rain/anaconda3/lib/python3.11/site-packages/compiler_gym/service/connection.py", line 681, in close
File "/home/rain/anaconda3/lib/python3.11/site-packages/compiler_gym/service/connection.py", line 457, in close
compiler_gym.service.connection.ServiceError: Service exited with returncode 6
It seems that something goes wrong with "env.fork()", could anybody tell me why, thank you!
The text was updated successfully, but these errors were encountered:
When I run below code in the tutorial Chapter “Autotuning”,
I met such reported errors in the console,
It seems that something goes wrong with "env.fork()", could anybody tell me why, thank you!
The text was updated successfully, but these errors were encountered: