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#!/usr/bin/env python3

# coding=utf-8

# Copyright 2025 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 platform

import sys

os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"

print("Python version:", sys.version)

print("OS platform:", platform.platform())

print("OS architecture:", platform.machine())

try:

import psutil

vm = psutil.virtual_memory()

total_gb = vm.total / (1024**3)

available_gb = vm.available / (1024**3)

print(f"Total RAM: {total_gb:.2f} GB")

print(f"Available RAM: {available_gb:.2f} GB")

except ImportError:

pass

try:

import torch

print("Torch version:", torch.__version__)

print("Cuda available:", torch.cuda.is_available())

if torch.cuda.is_available():

print("Cuda version:", torch.version.cuda)

print("CuDNN version:", torch.backends.cudnn.version())

print("Number of GPUs available:", torch.cuda.device_count())

device_properties = torch.cuda.get_device_properties(0)

total_memory = device_properties.total_memory / (1024**3)

print(f"CUDA memory: {total_memory} GB")

print("XPU available:", hasattr(torch, "xpu") and torch.xpu.is_available())

if hasattr(torch, "xpu") and torch.xpu.is_available():

print("XPU model:", torch.xpu.get_device_properties(0).name)

print("XPU compiler version:", torch.version.xpu)

print("Number of XPUs available:", torch.xpu.device_count())

device_properties = torch.xpu.get_device_properties(0)

total_memory = device_properties.total_memory / (1024**3)

print(f"XPU memory: {total_memory} GB")

except ImportError:

print("Torch version:", None)

try:

import transformers

print("transformers version:", transformers.__version__)

except ImportError:

print("transformers version:", None)