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Title: bpo-32492: 1.6x speed up in namedtuple attribute access using C fast-path by pablogsal · Pull Request #10495 · python/cpython · GitHub

Open Graph Title: bpo-32492: 1.6x speed up in namedtuple attribute access using C fast-path by pablogsal · Pull Request #10495 · python/cpython

X Title: bpo-32492: 1.6x speed up in namedtuple attribute access using C fast-path by pablogsal · Pull Request #10495 · python/cpython

Description: Timing benchmarks Attribute Access import perf runner = perf.Runner() runner.timeit("a.x", stmt="a.x", setup="import collections;A=collections.namedtuple('A','x')") ./python -m perf compare_to old.json new.json -v Mean +- std dev: [old] 280 ns +- 3 ns -> [new] 111 ns +- 1 ns: 2.52x faster Apparently, there is a regression in the current master. This is the comparison against 3.7: Mean +- std dev: [old] 176 ns +- 2 ns -> [new] 110 ns +- 2 ns: 1.61x faster (-38%) Significant (t=177.69) Creation (Just to check that creation is not slower) import perf runner = perf.Runner() runner.timeit("collections.namedtuple('A','x')", stmt="collections.namedtuple('A','x')", setup="import collections") Mean +- std dev: [old_creation] 209 us +- 3 us -> [new_creation] 207 us +- 4 us: 1.01x faster import perf runner = perf.Runner() runner.timeit("A(2324)", stmt="A(2324)", setup="import collections;A=collections.namedtuple('A','x')") Mean +- std dev: [old_creation_obj] 1.41 us +- 0.03 us -> [new_creation_obj] 1.41 us +- 0.02 us: 1.00x faster (-0%) Cache efficiency Baseline ❯ perf stat -r 200 -B -e cache-references,cache-misses,cycles,instructions,branches,faults,migrations ./python -c " import collections A = collections.namedtuple('A','x');a = A(42) for _ in range(100): some_var = a.x """ Performance counter stats for './python -c import collections A = collections.namedtuple('A','x');a = A(42) for _ in range(100): some_var = a.x ' (200 runs): 1,469,290 cache-references:u ( +- 0.26% ) 20,240 cache-misses:u # 1.378 % of all cache refs ( +- 8.58% ) 146,812,273 cycles:u ( +- 0.24% ) 201,131,089 instructions:u # 1.37 insn per cycle ( +- 0.01% ) 40,257,360 branches:u ( +- 0.01% ) 1,175 faults:u ( +- 0.01% ) 0 migrations:u 0.050526 +- 0.000281 seconds time elapsed ( +- 0.56% ) Patched ❯ perf stat -r 200 -B -e cache-references,cache-misses,cycles,instructions,branches,faults,migrations ./python -c " import collections A = collections.namedtuple('A','x');a = A(42) for _ in range(100): some_var = a.x """ Performance counter stats for './python -c import collections A = collections.namedtuple('A','x');a = A(42) for _ in range(100): some_var = a.x ' (200 runs): 1,471,736 cache-references:u ( +- 0.11% ) 7,196 cache-misses:u # 0.489 % of all cache refs ( +- 6.94% ) 145,004,120 cycles:u ( +- 0.07% ) 201,182,075 instructions:u # 1.39 insn per cycle ( +- 0.01% ) 40,219,107 branches:u ( +- 0.01% ) 1,174 faults:u ( +- 0.01% ) 0 migrations:u 0.048499 +- 0.000222 seconds time elapsed ( +- 0.44% ) https://bugs.python.org/issue32492

Open Graph Description: Timing benchmarks Attribute Access import perf runner = perf.Runner() runner.timeit("a.x", stmt="a.x", setup="import collections;A=collections....

X Description: Timing benchmarks Attribute Access import perf runner = perf.Runner() runner.timeit("a.x", stmt="a.x", setup="import collec...

Opengraph URL: https://github.com/python/cpython/pull/10495

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