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# Copyright 2020-2025 The HuggingFace Team. 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 platform
from importlib.metadata import version
import torch
from accelerate.commands.config import default_config_file, load_config_from_file
from transformers import is_bitsandbytes_available
from transformers.utils import is_openai_available, is_peft_available
from .. import __version__
from ..import_utils import (
is_deepspeed_available,
is_diffusers_available,
is_liger_kernel_available,
is_llm_blender_available,
is_vllm_available,
)
from .utils import get_git_commit_hash
def print_env():
devices = None
if torch.cuda.is_available():
devices = [torch.cuda.get_device_name(i) for i in range(torch.cuda.device_count())]
elif torch.backends.mps.is_available():
devices = ["MPS"]
elif torch.xpu.is_available():
devices = [torch.xpu.get_device_name(i) for i in range(torch.xpu.device_count())]
accelerate_config = accelerate_config_str = "not found"
# Get the default from the config file.
if os.path.isfile(default_config_file):
accelerate_config = load_config_from_file(default_config_file).to_dict()
accelerate_config_str = (
"\n" + "\n".join([f" - {prop}: {val}" for prop, val in accelerate_config.items()])
if isinstance(accelerate_config, dict)
else accelerate_config
)
commit_hash = get_git_commit_hash("trl")
info = {
"Platform": platform.platform(),
"Python version": platform.python_version(),
"TRL version": f"{__version__}+{commit_hash[:7]}" if commit_hash else __version__,
"PyTorch version": version("torch"),
"accelerator(s)": ", ".join(devices) if devices is not None else "cpu",
"Transformers version": version("transformers"),
"Accelerate version": version("accelerate"),
"Accelerate config": accelerate_config_str,
"Datasets version": version("datasets"),
"HF Hub version": version("huggingface_hub"),
"bitsandbytes version": version("bitsandbytes") if is_bitsandbytes_available() else "not installed",
"DeepSpeed version": version("deepspeed") if is_deepspeed_available() else "not installed",
"Diffusers version": version("diffusers") if is_diffusers_available() else "not installed",
"Liger-Kernel version": version("liger_kernel") if is_liger_kernel_available() else "not installed",
"LLM-Blender version": version("llm_blender") if is_llm_blender_available() else "not installed",
"OpenAI version": version("openai") if is_openai_available() else "not installed",
"PEFT version": version("peft") if is_peft_available() else "not installed",
"vLLM version": version("vllm") if is_vllm_available() else "not installed",
}
info_str = "\n".join([f"- {prop}: {val}" for prop, val in info.items()])
print(f"\nCopy-paste the following information when reporting an issue:\n\n{info_str}\n") # noqa
if __name__ == "__main__":
print_env()
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