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February 5, 2024 00:11
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from typing import Callable | |
import functools | |
import torch | |
SIZES = [ | |
torch.Size([256, 280]), | |
torch.Size([256]), | |
torch.Size([280, 256]), | |
torch.Size([280]), | |
torch.Size([280]), | |
torch.Size([280]), | |
torch.Size([128, 280]), | |
torch.Size([128]), | |
torch.Size([128]), | |
torch.Size([128]), | |
torch.Size([320, 280]), | |
torch.Size([320]), | |
torch.Size([256, 1320]), | |
torch.Size([256]), | |
torch.Size([1320, 256]), | |
torch.Size([1320]), | |
torch.Size([1320]), | |
torch.Size([1320]), | |
torch.Size([128, 1320]), | |
torch.Size([128]), | |
torch.Size([128]), | |
torch.Size([128]), | |
torch.Size([320, 1320]), | |
torch.Size([320]), | |
torch.Size([256, 360]), | |
torch.Size([256]), | |
torch.Size([360, 256]), | |
torch.Size([360]), | |
torch.Size([360]), | |
torch.Size([360]), | |
torch.Size([128, 360]), | |
torch.Size([128]), | |
torch.Size([128]), | |
torch.Size([128]), | |
torch.Size([320, 360]), | |
torch.Size([320]), | |
torch.Size([320, 400]), | |
torch.Size([320]), | |
torch.Size([320]), | |
torch.Size([320]), | |
torch.Size([320, 400]), | |
torch.Size([320]), | |
torch.Size([256, 300]), | |
torch.Size([256]), | |
torch.Size([300, 256]), | |
torch.Size([300]), | |
torch.Size([300]), | |
torch.Size([300]), | |
torch.Size([128, 300]), | |
torch.Size([128]), | |
torch.Size([128]), | |
torch.Size([128]), | |
torch.Size([320, 300]), | |
torch.Size([320]), | |
torch.Size([256, 1976]), | |
torch.Size([256]), | |
torch.Size([1976, 256]), | |
torch.Size([1976]), | |
torch.Size([1976]), | |
torch.Size([1976]), | |
torch.Size([128, 1976]), | |
torch.Size([128]), | |
torch.Size([128]), | |
torch.Size([128]), | |
torch.Size([320, 1976]), | |
torch.Size([320]), | |
torch.Size([256, 1992]), | |
torch.Size([256]), | |
torch.Size([1992, 256]), | |
torch.Size([1992]), | |
torch.Size([1992]), | |
torch.Size([1992]), | |
torch.Size([128, 1992]), | |
torch.Size([128]), | |
torch.Size([128]), | |
torch.Size([128]), | |
torch.Size([320, 1992]), | |
torch.Size([320]), | |
torch.Size([256, 1980]), | |
torch.Size([256]), | |
torch.Size([1980, 256]), | |
torch.Size([1980]), | |
torch.Size([1980]), | |
torch.Size([1980]), | |
torch.Size([128, 1980]), | |
torch.Size([128]), | |
torch.Size([128]), | |
torch.Size([128]), | |
torch.Size([320, 1980]), | |
torch.Size([320]), | |
torch.Size([256, 1976]), | |
torch.Size([256]), | |
torch.Size([1976, 256]), | |
torch.Size([1976]), | |
torch.Size([1976]), | |
torch.Size([1976]), | |
torch.Size([128, 1976]), | |
torch.Size([128]), | |
torch.Size([128]), | |
torch.Size([128]), | |
torch.Size([320, 1976]), | |
torch.Size([320]), | |
torch.Size([256, 1964]), | |
torch.Size([256]), | |
torch.Size([1964, 256]), | |
torch.Size([1964]), | |
torch.Size([1964]), | |
torch.Size([1964]), | |
torch.Size([128, 1964]), | |
torch.Size([128]), | |
torch.Size([128]), | |
torch.Size([128]), | |
torch.Size([320, 1964]), | |
torch.Size([320]), | |
torch.Size([256, 1968]), | |
torch.Size([256]), | |
torch.Size([1968, 256]), | |
torch.Size([1968]), | |
torch.Size([1968]), | |
torch.Size([1968]), | |
torch.Size([128, 1968]), | |
torch.Size([128]), | |
torch.Size([128]), | |
torch.Size([128]), | |
torch.Size([320, 1968]), | |
torch.Size([320]), | |
torch.Size([256, 1888]), | |
torch.Size([256]), | |
torch.Size([1888, 256]), | |
torch.Size([1888]), | |
torch.Size([1888]), | |
torch.Size([1888]), | |
torch.Size([128, 1888]), | |
torch.Size([128]), | |
torch.Size([128]), | |
torch.Size([128]), | |
torch.Size([320, 1888]), | |
torch.Size([320]), | |
torch.Size([256, 1824]), | |
torch.Size([256]), | |
torch.Size([1824, 256]), | |
torch.Size([1824]), | |
torch.Size([1824]), | |
torch.Size([1824]), | |
torch.Size([128, 1824]), | |
torch.Size([128]), | |
torch.Size([128]), | |
torch.Size([128]), | |
torch.Size([320, 1824]), | |
torch.Size([320]), | |
] * 10 | |
# SIZES = [ | |
# torch.Size([256, 280]), | |
# torch.Size([256]), | |
# torch.Size([280, 256]), | |
# torch.Size([280]), | |
# torch.Size([280]), | |
# torch.Size([280]), | |
# torch.Size([128, 280]), | |
# ] | |
src = [torch.rand(sz, device="cuda") for sz in SIZES] | |
dst = [torch.empty(sz, device="cuda") for sz in SIZES] | |
gb = sum(sz.numel() * 4 for sz in SIZES) / 1024 ** 3 | |
def trace_handler(prof) -> None: | |
import subprocess, uuid, os | |
name = f"{uuid.uuid4()}.json" | |
prof.export_chrome_trace(name) | |
subprocess.check_call(["python", "/home/yifu/trace.py", name]) | |
os.remove(name) | |
enable_profiler = False | |
def benchmark_time( | |
benchmark_fn: Callable, | |
*benchmark_fn_args, | |
**benchmark_fn_kwargs, | |
) -> int: | |
from contextlib import nullcontext | |
from torch.testing._internal.common_utils import get_cycles_per_ms | |
import time | |
if not enable_profiler: | |
prof = nullcontext() | |
else: | |
prof = torch.profiler.profile( | |
activities=[ | |
torch.profiler.ProfilerActivity.CPU, | |
torch.profiler.ProfilerActivity.CUDA, | |
], | |
on_trace_ready=trace_handler, | |
) | |
MEASURE_ITERS = 100 | |
evt_begin = [torch.cuda.Event(enable_timing=True) for _ in range(MEASURE_ITERS)] | |
evt_end = [torch.cuda.Event(enable_timing=True) for _ in range(MEASURE_ITERS)] | |
cpu_ms = 0 | |
cache = torch.empty(int(256e6 // 4), dtype=torch.int, device="cuda") | |
torch.cuda.synchronize() | |
with prof: | |
for i in range(MEASURE_ITERS): | |
cache.zero_() | |
cpu_begin = time.perf_counter_ns() | |
torch.cuda._sleep(int(10 * get_cycles_per_ms())) | |
evt_begin[i].record() | |
benchmark_fn(*benchmark_fn_args, **benchmark_fn_kwargs) | |
evt_end[i].record() | |
cpu_ms += (time.perf_counter_ns() - cpu_begin) / 1e6 | |
torch.cuda.synchronize() | |
device_ms = sum(begin.elapsed_time(end) for begin, end in zip(evt_begin, evt_end)) | |
return device_ms / MEASURE_ITERS, cpu_ms / MEASURE_ITERS | |
for s, d in zip(src, dst): | |
assert not torch.allclose(s, d) | |
fn, multiplier = functools.partial(torch._foreach_copy_, dst, src), 2 | |
for _ in range(100): | |
fn() # warmup | |
for s, d in zip(src, dst): | |
assert torch.allclose(s, d) | |
device_ms, cpu_ms = benchmark_time(fn) | |
print(f"device ms: {device_ms:.03f}, cpu ms: {cpu_ms:.03f}") | |
print(f"memory bandwidth: {gb / device_ms * 1000 * multiplier:.03f} GB/s") |
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