google colab environment

gistfile1.txt

# Analyze environment
import os
import psutil
import subprocess
import torch

# Check CPU Info
def cpu_info():
    cpu_details = subprocess.run(['cat', '/proc/cpuinfo'], stdout=subprocess.PIPE).stdout.decode()
    return cpu_details.split("\n\n")[0]

# Check GPU Info
def gpu_info():
    try:
        gpu_details = subprocess.run(['nvidia-smi'], stdout=subprocess.PIPE).stdout.decode()
        return gpu_details
    except FileNotFoundError:
        return "No GPU detected"

# Memory Info
def memory_info():
    mem = psutil.virtual_memory()
    return f"Total: {mem.total / (1024**3):.2f} GB, Available: {mem.available / (1024**3):.2f} GB"

# Disk Space Info
def disk_info():
    disk = psutil.disk_usage('/')
    return f"Total: {disk.total / (1024**3):.2f} GB, Free: {disk.free / (1024**3):.2f} GB"

# PyTorch Check
def pytorch_info():
    gpu_available = torch.cuda.is_available()
    if gpu_available:
        gpu_count = torch.cuda.device_count()
        device_info = [
            f"Device {i}: {torch.cuda.get_device_name(i)}" for i in range(gpu_count)
        ]
        return f"GPUs Available: {gpu_count}\n" + "\n".join(device_info)
    else:
        return "No CUDA-compatible GPU available"

# System Info Summary
print("----- System Specifications -----")
print("CPU Info:\n", cpu_info())
print("\nGPU Info:\n", gpu_info())
print("\nMemory Info:\n", memory_info())
print("\nDisk Space Info:\n", disk_info())
print("\nPyTorch Devices:\n", pytorch_info())


----- System Specifications -----
CPU Info:
 processor	: 0
vendor_id	: GenuineIntel
cpu family	: 6
model		: 85
model name	: Intel(R) Xeon(R) CPU @ 2.00GHz
stepping	: 3
microcode	: 0xffffffff
cpu MHz		: 2000.194
cache size	: 39424 KB
physical id	: 0
siblings	: 2
core id		: 0
cpu cores	: 1
apicid		: 0
initial apicid	: 0
fpu		: yes
fpu_exception	: yes
cpuid level	: 13
wp		: yes
flags		: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat md_clear arch_capabilities
bugs		: cpu_meltdown spectre_v1 spectre_v2 spec_store_bypass l1tf mds swapgs taa mmio_stale_data retbleed bhi
bogomips	: 4000.38
clflush size	: 64
cache_alignment	: 64
address sizes	: 46 bits physical, 48 bits virtual
power management:

GPU Info:
 Sat Dec 21 23:01:25 2024       
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 535.104.05             Driver Version: 535.104.05   CUDA Version: 12.2     |
|-----------------------------------------+----------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |         Memory-Usage | GPU-Util  Compute M. |
|                                         |                      |               MIG M. |
|=========================================+======================+======================|
|   0  Tesla T4                       Off | 00000000:00:04.0 Off |                    0 |
| N/A   43C    P8               9W /  70W |      3MiB / 15360MiB |      0%      Default |
|                                         |                      |                  N/A |
+-----------------------------------------+----------------------+----------------------+
                                                                                         
+---------------------------------------------------------------------------------------+
| Processes:                                                                            |
|  GPU   GI   CI        PID   Type   Process name                            GPU Memory |
|        ID   ID                                                             Usage      |
|=======================================================================================|
|  No running processes found                                                           |
+---------------------------------------------------------------------------------------+


Memory Info:
 Total: 12.67 GB, Available: 10.58 GB

Disk Space Info:
 Total: 112.64 GB, Free: 79.96 GB

PyTorch Devices:
 GPUs Available: 1
Device 0: Tesla T4