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#!/usr/bin/env python
from __future__ import annotations
import math
import multiprocessing
from timeit import timeit
print("Welcome to boost-histogram's performance report")
setup_1d = """
import numpy as np
import boost_histogram as bh
bins=100
ranges=(-1,1)
bins = np.asarray(bins).astype(np.int64)
ranges = np.asarray(ranges).astype(np.float64)
edges = np.linspace(*ranges, bins+1)
np.random.seed(42)
vals = np.random.normal(size=[50_000_000]).astype(np.float32)
"""
setup_2d = """
import numpy as np
import boost_histogram as bh
bins=(100, 100)
ranges=((-1,1),(-1,1))
bins = np.asarray(bins).astype(np.int64)
ranges = np.asarray(ranges).astype(np.float64)
edges = (np.linspace(*ranges[0,:], bins[0]+1),
np.linspace(*ranges[1,:], bins[1]+1))
np.random.seed(42)
vals = np.random.normal(size=[2, 5_000_000]).astype(np.float64)
"""
def timer(setup, statement, n=10):
t = timeit(statement, setup, number=n)
return (t * 1000) / n
def print_timer(setup, statement, name, storage, fill, flow, base=None, n=10):
time = timer(
setup, statement.format(name=name, storage=storage, fill=fill, flow=flow), n
)
speedup = 1 if base is None else base / time
print(
table_line.format(
name=name,
storage=storage,
fill=fill,
flow=str(flow),
time=time,
speedup=speedup,
)
)
return time
c = multiprocessing.cpu_count()
counts = [c // 2**x for x in reversed(range(int(math.log2(c) + 1)))]
table_header = "| Type | Storage | Threads | Flow | Time | Speedup |"
table_spacer = "|-------|---------------|----------|------|-----------|---------|"
table_line = (
"|{name:^7}|{storage:^15}|{fill:^9}|{flow:<6}|{time:>7.4g} ms |{speedup:>7.2g}x |"
)
print()
print("### 1D, 10 runs each")
print()
print(table_header)
print(table_spacer)
base = print_timer(
setup_1d,
"h, _ = np.histogram(vals, bins=bins, range=ranges)",
name="NumPy",
storage="uint64",
fill="",
flow=False,
)
print_timer(
setup_1d,
"hist = bh.Histogram(bh.axis.{name}(bins, *ranges, underflow={flow}, overflow={flow}), storage=bh.storage.{storage}()); hist.fill(vals)",
name="Regular",
storage="Int64",
fill="",
flow=False,
base=base,
)
print_timer(
setup_1d,
"hist = bh.Histogram(bh.axis.{name}(bins, *ranges, underflow={flow}, overflow={flow}), storage=bh.storage.{storage}()); hist.fill(vals)",
name="Regular",
storage="Int64",
fill="",
flow=True,
base=base,
)
for fill in counts:
print_timer(
setup_1d,
"hist = bh.Histogram(bh.axis.{name}(bins, *ranges, underflow={flow}, overflow={flow}), storage=bh.storage.{storage}()); hist.fill(vals, threads={fill})",
name="Regular",
storage="Int64",
fill=fill,
flow=True,
base=base,
)
for fill in counts:
print_timer(
setup_1d,
"hist = bh.Histogram(bh.axis.{name}(bins, *ranges, underflow={flow}, overflow={flow}), storage=bh.storage.{storage}()); hist.fill(vals, threads={fill})",
name="Regular",
storage="AtomicInt64",
fill=fill,
flow=True,
base=base,
)
print()
print("### 2D, 10 runs each")
print()
print(table_header)
print(table_spacer)
base = print_timer(
setup_2d,
"H, *ledges = np.histogram2d(*vals, bins=bins, range=ranges)",
name="NumPy",
storage="uint64",
fill="",
flow=False,
)
print_timer(
setup_2d,
"hist = bh.Histogram(bh.axis.{name}(bins[1], *ranges[0], underflow={flow}, overflow={flow}), bh.axis.{name}(bins[1], *ranges[1], underflow={flow}, overflow={flow}), storage=bh.storage.{storage}()); hist.fill(*vals)",
name="Regular",
storage="Int64",
fill="",
flow=False,
base=base,
)
for fill in counts:
print_timer(
setup_2d,
"hist = bh.Histogram(bh.axis.{name}(bins[1], *ranges[0], underflow={flow}, overflow={flow}), bh.axis.{name}(bins[1], *ranges[1], underflow={flow}, overflow={flow}), storage=bh.storage.{storage}()); hist.fill(*vals, threads={fill})",
name="Regular",
storage="Int64",
fill=fill,
flow=False,
base=base,
)
for fill in counts:
print_timer(
setup_2d,
"hist = bh.Histogram(bh.axis.{name}(bins[1], *ranges[0], underflow={flow}, overflow={flow}), bh.axis.{name}(bins[1], *ranges[1], underflow={flow}, overflow={flow}), storage=bh.storage.{storage}()); hist.fill(*vals, threads={fill})",
name="Regular",
storage="AtomicInt64",
fill=fill,
flow=False,
base=base,
)
|
