"megatron/core/pipeline_parallel/schedules.py" did not exist on "c1e4526bb35f29ac45077e5243530215d4b6e63c"
env.py 2.78 KB
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# Copyright 2025 HuggingFace Inc. and the LlamaFactory team.
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#
# 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.

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import os
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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


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VERSION = "0.9.4.dev0"
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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()
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        info["GPU number"] = torch.cuda.device_count()
        info["GPU memory"] = f"{torch.cuda.mem_get_info()[1] / (1024**3):.2f}GB"
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    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:
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        import bitsandbytes  # type: ignore
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        info["Bitsandbytes version"] = bitsandbytes.__version__
    except Exception:
        pass

    try:
        import vllm

        info["vLLM version"] = vllm.__version__
    except Exception:
        pass

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    try:
        import subprocess

        commit_info = subprocess.run(["git", "rev-parse", "HEAD"], capture_output=True, text=True, check=True)
        commit_hash = commit_info.stdout.strip()
        info["Git commit"] = commit_hash
    except Exception:
        pass

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    if os.path.exists("data"):
        info["Default data directory"] = "detected"
    else:
        info["Default data directory"] = "not detected"

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    print("\n" + "\n".join([f"- {key}: {value}" for key, value in info.items()]) + "\n")