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# Copyright 2024 HuggingFace Inc. and the LlamaFactory team.
#
# This code is inspired by the HuggingFace's transformers library.
# https://github.com/huggingface/transformers/blob/v4.40.0/src/transformers/commands/env.py
#
# 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 = "0.9.1.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")
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