# Copyright 2024 the LlamaFactory team. # # 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 platform import accelerate import datasets import peft import torch import transformers import trl from transformers.utils import is_torch_cuda_available, is_torch_npu_available VERSION = "0.8.2.dev0" def print_env() -> None: info = { "`llamafactory` version": VERSION, "Platform": platform.platform(), "Python version": platform.python_version(), "PyTorch version": torch.__version__, "Transformers version": transformers.__version__, "Datasets version": datasets.__version__, "Accelerate version": accelerate.__version__, "PEFT version": peft.__version__, "TRL version": trl.__version__, } if is_torch_cuda_available(): info["PyTorch version"] += " (GPU)" info["GPU type"] = torch.cuda.get_device_name() if is_torch_npu_available(): info["PyTorch version"] += " (NPU)" info["NPU type"] = torch.npu.get_device_name() info["CANN version"] = torch.version.cann try: import deepspeed # type: ignore info["DeepSpeed version"] = deepspeed.__version__ except Exception: pass try: import bitsandbytes info["Bitsandbytes version"] = bitsandbytes.__version__ except Exception: pass try: import vllm info["vLLM version"] = vllm.__version__ except Exception: pass print("\n" + "\n".join(["- {}: {}".format(key, value) for key, value in info.items()]) + "\n")