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value_based_training_script.py
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value_based_training_script.py
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# Copyright 2022 InstaDeep Ltd. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import subprocess
import warnings
from hydra import compose, initialize
from jumanji.training.train import train
warnings.filterwarnings("ignore")
# Based on:
# stackoverflow.com/questions/67504079/how-to-check-if-an-nvidia-gpu-is-available-on-my-system
try:
subprocess.check_output("nvidia-smi")
print("a GPU is connected.")
except Exception:
# TPU or CPU
if "COLAB_TPU_ADDR" in os.environ and os.environ["COLAB_TPU_ADDR"]:
import jax.tools.colab_tpu
jax.tools.colab_tpu.setup_tpu()
print("A TPU is connected.")
else:
print("Only CPU accelerator is connected.")
config = "configs/config.yaml"
env_config = "configs/env/bin_pack.yaml"
with initialize(version_base=None, config_path="configs"):
cfg = compose(config_name="config.yaml", overrides=["logger.save_checkpoint=true"])
train(cfg)