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2026-01-28 09:00:54 +00:00

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Python

# KT-Kernel: High-performance kernel operations for KTransformers
# SPDX-License-Identifier: Apache-2.0
"""
KT-Kernel provides high-performance kernel operations for KTransformers,
including CPU-optimized MoE inference with AMX, AVX, and KML support.
The package automatically detects your CPU capabilities and loads the optimal
kernel variant (AMX, AVX512, or AVX2) at runtime.
Example usage:
>>> from kt_kernel import KTMoEWrapper
>>> wrapper = KTMoEWrapper(
... layer_idx=0,
... num_experts=8,
... num_experts_per_tok=2,
... hidden_size=4096,
... moe_intermediate_size=14336,
... num_gpu_experts=2,
... cpuinfer_threads=32,
... threadpool_count=2,
... weight_path="/path/to/weights",
... chunked_prefill_size=512,
... method="AMXINT4"
... )
Check which CPU variant is loaded:
>>> import kt_kernel
>>> print(kt_kernel.__cpu_variant__) # 'amx', 'avx512', or 'avx2'
Environment Variables:
KT_KERNEL_CPU_VARIANT: Override automatic detection ('amx', 'avx512', 'avx2')
KT_KERNEL_DEBUG: Enable debug output ('1' to enable)
"""
from __future__ import annotations
# Detect CPU and load optimal extension variant
_kt_kernel_ext = None
__cpu_variant__ = None
_extension_load_error = None
try:
from ._cpu_detect import initialize as _initialize_cpu
_kt_kernel_ext, __cpu_variant__ = _initialize_cpu()
# Make the extension module available to other modules in this package
import sys
sys.modules["kt_kernel_ext"] = _kt_kernel_ext
# Also expose kt_kernel_ext as an attribute for backward compatibility
kt_kernel_ext = _kt_kernel_ext
except Exception as e:
# Extension loading failed - this is expected in some environments
# (e.g., dev environments with version mismatches, or CLI-only usage)
# Store the error for diagnostic purposes
_extension_load_error = e
kt_kernel_ext = None
# Import main API only if extension loaded successfully
if _kt_kernel_ext is not None:
try:
from .experts import KTMoEWrapper
except Exception:
# If experts import fails, define a placeholder that will error helpfully
class KTMoEWrapper:
def __init__(self, *args, **kwargs):
raise RuntimeError(
f"KTMoEWrapper unavailable: extension failed to load.\n"
f"Error: {_extension_load_error}\n"
f"The CLI tools are still available. For inference, please reinstall kt-kernel."
)
else:
# Extension not loaded - define placeholder
class KTMoEWrapper:
def __init__(self, *args, **kwargs):
if _extension_load_error:
raise RuntimeError(
f"KTMoEWrapper unavailable: extension failed to load.\n"
f"Error: {_extension_load_error}\n"
f"The CLI tools are still available. For inference, please reinstall kt-kernel."
)
else:
raise RuntimeError("KTMoEWrapper unavailable: extension not loaded.")
# Import main API
from .experts import KTMoEWrapper
from .experts_base import generate_gpu_experts_masks
# Read version from package metadata (preferred) or fallback to project root
try:
# Try to get version from installed package metadata (works in installed environment)
from importlib.metadata import version, PackageNotFoundError
try:
__version__ = version("kt-kernel")
except PackageNotFoundError:
# Package not installed, try to read from source tree version.py
import os
_root_version_file = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), "version.py")
if os.path.exists(_root_version_file):
_version_ns = {}
with open(_root_version_file, "r", encoding="utf-8") as f:
exec(f.read(), _version_ns)
__version__ = _version_ns.get("__version__", "0.4.3")
else:
__version__ = "0.4.3"
except ImportError:
# Python < 3.8, fallback to pkg_resources or hardcoded version
try:
from pkg_resources import get_distribution, DistributionNotFound
try:
__version__ = get_distribution("kt-kernel").version
except DistributionNotFound:
__version__ = "0.4.3"
except ImportError:
__version__ = "0.4.3"
__all__ = ["KTMoEWrapper", "generate_gpu_experts_masks", "kt_kernel_ext", "__cpu_variant__", "__version__"]