mirror of
https://github.com/huggingface/transformers.git
synced 2025-07-04 05:10:06 +06:00
86 lines
2.6 KiB
Python
86 lines
2.6 KiB
Python
#!/usr/bin/env python3
|
|
|
|
# coding=utf-8
|
|
# Copyright 2020 The HuggingFace Inc. 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.
|
|
|
|
# this script dumps information about the environment
|
|
|
|
import os
|
|
import sys
|
|
|
|
import transformers
|
|
from transformers import is_torch_hpu_available, is_torch_xpu_available
|
|
|
|
|
|
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
|
|
|
|
print("Python version:", sys.version)
|
|
print("transformers version:", transformers.__version__)
|
|
|
|
try:
|
|
import torch
|
|
|
|
print("Torch version:", torch.__version__)
|
|
accelerator = "NA"
|
|
if torch.cuda.is_available():
|
|
accelerator = "CUDA"
|
|
elif is_torch_xpu_available():
|
|
accelerator = "XPU"
|
|
elif is_torch_hpu_available():
|
|
accelerator = "HPU"
|
|
|
|
print("Torch accelerator:", accelerator)
|
|
|
|
if accelerator == "CUDA":
|
|
print("Cuda version:", torch.version.cuda)
|
|
print("CuDNN version:", torch.backends.cudnn.version())
|
|
print("Number of GPUs available:", torch.cuda.device_count())
|
|
print("NCCL version:", torch.cuda.nccl.version())
|
|
elif accelerator == "XPU":
|
|
print("SYCL version:", torch.version.xpu)
|
|
print("Number of XPUs available:", torch.xpu.device_count())
|
|
elif accelerator == "HPU":
|
|
print("HPU version:", torch.__version__.split("+")[-1])
|
|
print("Number of HPUs available:", torch.hpu.device_count())
|
|
except ImportError:
|
|
print("Torch version:", None)
|
|
|
|
try:
|
|
import deepspeed
|
|
|
|
print("DeepSpeed version:", deepspeed.__version__)
|
|
except ImportError:
|
|
print("DeepSpeed version:", None)
|
|
|
|
try:
|
|
import tensorflow as tf
|
|
|
|
print("TensorFlow version:", tf.__version__)
|
|
print("TF GPUs available:", bool(tf.config.list_physical_devices("GPU")))
|
|
print("Number of TF GPUs available:", len(tf.config.list_physical_devices("GPU")))
|
|
except ImportError:
|
|
print("TensorFlow version:", None)
|
|
|
|
|
|
try:
|
|
import torchcodec
|
|
|
|
versions = torchcodec._core.get_ffmpeg_library_versions()
|
|
print("FFmpeg version:", versions["ffmpeg_version"])
|
|
except ImportError:
|
|
print("FFmpeg version:", None)
|
|
except (AttributeError, KeyError):
|
|
print("Failed to get FFmpeg version")
|