mirror of
https://github.com/kvcache-ai/ktransformers.git
synced 2026-05-05 23:50:14 +00:00
57d14d22bc
* refactor: move legacy code to archive/ directory - Moved ktransformers, csrc, third_party, merge_tensors to archive/ - Moved build scripts and configurations to archive/ - Kept kt-kernel, KT-SFT, doc, and README files in root - Preserved complete git history for all moved files * refactor: restructure repository to focus on kt-kernel and KT-SFT modules * fix README * fix README * fix README * fix README * docs: add performance benchmarks to kt-kernel section Add comprehensive performance data for kt-kernel to match KT-SFT's presentation: - AMX kernel optimization: 21.3 TFLOPS (3.9× faster than PyTorch) - Prefill phase: up to 20× speedup vs baseline - Decode phase: up to 4× speedup - NUMA optimization: up to 63% throughput improvement - Multi-GPU (8×L20): 227.85 tokens/s total throughput with DeepSeek-R1 FP8 Source: https://lmsys.org/blog/2025-10-22-KTransformers/ This provides users with concrete performance metrics for both core modules, making it easier to understand the capabilities of each component. * refactor: improve kt-kernel performance data with specific hardware and models Replace generic performance descriptions with concrete benchmarks: - Specify exact hardware: 8×L20 GPU + Xeon Gold 6454S, Single/Dual-socket Xeon + AMX - Include specific models: DeepSeek-R1-0528 (FP8), DeepSeek-V3 (671B) - Show detailed metrics: total throughput, output throughput, concurrency details - Match KT-SFT presentation style for consistency This provides users with actionable performance data they can use to evaluate hardware requirements and expected performance for their use cases. * fix README * docs: clean up performance table and improve formatting * add pic for README * refactor: simplify .gitmodules and backup legacy submodules - Remove 7 legacy submodules from root .gitmodules (archive/third_party/*) - Keep only 2 active submodules for kt-kernel (llama.cpp, pybind11) - Backup complete .gitmodules to archive/.gitmodules - Add documentation in archive/README.md for researchers who need legacy submodules This reduces initial clone size by ~500MB and avoids downloading unused dependencies. * refactor: move doc/ back to root directory Keep documentation in root for easier access and maintenance. * refactor: consolidate all images to doc/assets/ - Move kt-kernel/assets/heterogeneous_computing.png to doc/assets/ - Remove KT-SFT/assets/ (images already in doc/assets/) - Update KT-SFT/README.md image references to ../doc/assets/ - Eliminates ~7.9MB image duplication - Centralizes all documentation assets in one location * fix pic path for README
79 lines
2.4 KiB
Python
79 lines
2.4 KiB
Python
import time
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def format_time(seconds):
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units = [
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("hours", 3600),
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("minutes", 60),
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("seconds", 1),
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("milliseconds", 1e-3),
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("microseconds", 1e-6),
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]
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for unit_name, unit_value in units:
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if seconds >= unit_value:
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time_value = seconds / unit_value
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return f"{time_value:.2f} {unit_name}"
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return "0 seconds" # Handle case for 0 seconds
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class Profiler:
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def __init__(self):
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self.timers = {}
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self.counters = {}
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def create_timer(self, name):
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self.timers[name] = {
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"start_time": None,
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"elapsed_time": 0,
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"running": False,
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}
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def start_timer(self, name):
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if name not in self.timers:
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raise ValueError(f"Timer '{name}' does not exist.")
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if self.timers[name]["running"]:
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raise ValueError(f"Timer '{name}' is already running.")
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self.timers[name]["start_time"] = time.time()
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self.timers[name]["running"] = True
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def pause_timer(self, name):
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if name not in self.timers:
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raise ValueError(f"Timer '{name}' does not exist.")
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if not self.timers[name]["running"]:
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raise ValueError(f"Timer '{name}' is not running.")
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self.timers[name]["elapsed_time"] += time.time() - self.timers[name]["start_time"]
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self.timers[name]["running"] = False
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def get_timer_sec(self, name):
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if name not in self.timers:
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raise ValueError(f"Timer '{name}' does not exist.")
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if self.timers[name]["running"]:
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current_time = self.timers[name]["elapsed_time"] + (time.time() - self.timers[name]["start_time"])
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else:
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current_time = self.timers[name]["elapsed_time"]
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return current_time
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def get_all_timers(self):
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all_timers = {}
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for name in self.timers:
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all_timers[name] = self.get_timer_sec(name)
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return all_timers
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def report_timer_string(self, name):
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return f"{name} elapsed time: {format_time(self.get_timer_sec(name))}"
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def create_and_start_timer(self, name):
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self.create_timer(name)
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self.start_timer(name)
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# Counter
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def inc(self,key:str,delta:int=1):
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self.counters[key] = self.counters.get(key,0) + delta
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def set_counter(self,key:str,to=0):
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self.counters[key] = to
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def get_counter(self,key:str):
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return self.counters.get(key,0)
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