MTML Python Bindings (pymtml)

Python bindings for the Moore Threads Management Library (MTML) - a C-based API for monitoring and managing Moore Threads GPU devices.

Overview

MTML provides programmatic access to GPU metrics and configuration, similar to nvidia-smi for NVIDIA GPUs. This library (pymtml.py) wraps the native MTML C library for Python usage.

Moore Threads GPUs use MUSA (Meta-computing Unified System Architecture) as their compute platform, analogous to NVIDIA's CUDA.

Requirements

• Python 3.7+
• Moore Threads GPU driver with MTML library installed
• Linux: libmtml.so.2 (preferred) or the legacy libmtml.so must be in the library path
• Windows: The mtml.dll library must be in the system PATH or in the mtml/ directory relative to the script

Installation

pip install mthreads-ml-py

# Or install from source
git clone https://github.com/MooreThreads/mthreads-ml-py.git
cd mthreads-ml-py
pip install -e .

Quick Start

from pymtml import *

# Initialize the library
mtmlLibraryInit()

# Get device count
device_count = mtmlLibraryCountDevice()
print(f"Found {device_count} GPU(s)")

# Query each device
for i in range(device_count):
    device = mtmlLibraryInitDeviceByIndex(i)

    # Basic info
    name = mtmlDeviceGetName(device)
    uuid = mtmlDeviceGetUUID(device)
    print(f"Device {i}: {name} ({uuid})")

    # Memory info
    with mtmlMemoryContext(device) as memory:
        total = mtmlMemoryGetTotal(memory)
        used = mtmlMemoryGetUsed(memory)
        print(f"  Memory: {used / 1024**3:.2f} / {total / 1024**3:.2f} GB")

    # GPU utilization
    with mtmlGpuContext(device) as gpu:
        util = mtmlGpuGetUtilization(gpu)
        temp = mtmlGpuGetTemperature(gpu)
        print(f"  GPU Util: {util}%, Temp: {temp}°C")

# Shutdown
mtmlLibraryShutDown()

API Categories

Library APIs

• mtmlLibraryInit() - Initialize the library
• mtmlLibraryShutDown() - Shutdown the library
• mtmlLibraryGetVersion() - Get library version
• mtmlLibraryCountDevice() - Get device count
• mtmlLibraryInitDeviceByIndex(index) - Get device handle by index
• mtmlLibraryInitDeviceByUuid(uuid) - Get device handle by UUID

Device APIs

• mtmlDeviceGetIndex(device) - Get device index
• mtmlDeviceGetName(device) - Get device name
• mtmlDeviceGetUUID(device) - Get device UUID
• mtmlDeviceGetBrand(device) - Get device brand
• mtmlDeviceGetSerialNumber(device) - Get serial number
• mtmlDeviceGetPciInfo(device) - Get PCI information
• mtmlDeviceGetPowerUsage(device) - Get power usage (mW)
• mtmlDeviceGetVbiosVersion(device) - Get VBIOS version
• mtmlDeviceCountGpuCores(device) - Get GPU core count

GPU APIs

• mtmlDeviceInitGpu(device) - Initialize GPU handle
• mtmlGpuGetUtilization(gpu) - Get GPU utilization (%)
• mtmlGpuGetTemperature(gpu) - Get GPU temperature (°C)
• mtmlGpuGetClock(gpu) - Get current GPU clock (MHz)
• mtmlGpuGetMaxClock(gpu) - Get max GPU clock (MHz)
• mtmlGpuGetEngineUtilization(gpu, engine) - Get engine utilization

Memory APIs

• mtmlDeviceInitMemory(device) - Initialize memory handle
• mtmlMemoryGetTotal(memory) - Get total memory (bytes)
• mtmlMemoryGetUsed(memory) - Get used memory (bytes)
• mtmlMemoryGetUtilization(memory) - Get memory utilization (%)
• mtmlMemoryGetClock(memory) - Get memory clock (MHz)
• mtmlMemoryGetBusWidth(memory) - Get memory bus width (bits)
• mtmlMemoryGetBandwidth(memory) - Get memory bandwidth (GB/s)

MtLink APIs (Multi-GPU Interconnect)

• mtmlDeviceGetMtLinkSpec(device) - Get MtLink specification
• mtmlDeviceGetMtLinkState(device, link) - Get link state
• mtmlDeviceGetMtLinkRemoteDevice(device, link) - Get remote device
• mtmlDeviceCountMtLinkLayouts(dev1, dev2) - Count link layouts between devices

Topology APIs

• mtmlDeviceGetTopologyLevel(dev1, dev2) - Get topology level between devices
• mtmlDeviceGetP2PStatus(dev1, dev2, cap) - Get P2P status
• mtmlDeviceCountDeviceByTopologyLevel(device, level) - Count devices at topology level
• mtmlDeviceGetDeviceByTopologyLevel(device, level, count) - Get devices at topology level

ECC APIs

• mtmlMemoryGetEccMode(memory) - Get ECC mode (current, pending)
• mtmlMemoryGetEccErrorCounter(memory, errorType, counterType, location) - Get ECC error count
• mtmlMemoryGetRetiredPagesCount(memory) - Get retired pages count
• mtmlMemoryGetRetiredPagesPendingStatus(memory) - Get pending status

VPU APIs (Video Processing Unit)

• mtmlDeviceInitVpu(device) - Initialize VPU handle
• mtmlVpuGetClock(vpu) - Get VPU clock (MHz)
• mtmlVpuGetUtilization(vpu) - Get VPU utilization
• mtmlVpuGetCodecCapacity(vpu) - Get codec capacity

Topology Levels

MTML_TOPOLOGY_INTERNAL   = 0  # Same GPU
MTML_TOPOLOGY_SINGLE     = 1  # Single PCIe switch
MTML_TOPOLOGY_MULTIPLE   = 2  # Multiple PCIe switches
MTML_TOPOLOGY_HOSTBRIDGE = 3  # Host bridge
MTML_TOPOLOGY_NODE       = 4  # Same NUMA node
MTML_TOPOLOGY_SYSTEM     = 5  # Different NUMA nodes

P2P Capabilities

MTML_P2P_CAPS_READ  = 0  # P2P read capability
MTML_P2P_CAPS_WRITE = 1  # P2P write capability

Error Handling

All functions raise MTMLError exceptions on failure:

try:
    device = mtmlLibraryInitDeviceByIndex(99)
except MTMLError as e:
    print(f"Error: {e}")

Running Tests

# Run comprehensive MTML API tests
python test_pymtml.py

# Run sglang compatibility tests
python test_sglang_compat.py

License

MIT License