清单

• 我已验证该问题在AllenNLP的main分支上存在。
• 我已阅读了关于报告bug的相关部分的贡献指南。
• 我已在issues list中查找了类似或相同的错误报告。
• 我已在pull requests list中查找了现有的提议修复。
• 我已在CHANGELOG和commit log中查找，以确定该错误是否已在主分支中修复。
• 我在下面的"Description"部分包含了与此错误相关的任何异常的回溯信息。
• 我在下面的"Related issues or possible duplicates"部分下方列出了所有相关问题和可能的重复问题(如果没有，请无论如何勾选此框)。
• 我已在下面的"Environment"部分列出了我发现此错误时使用的操作系统和Python版本。
• 我已在下面的"Environment"部分列出了 pip freeze 的输出。
• 我已在下面的"Steps to reproduce"部分提供了一个最小可复现示例。

描述

rouge指标计算在指标中非常慢。我正在使用Bart模型进行测试。
尤其是这里的调用：https://github.com/allenai/allennlp-models/blob/3e3b3ecf8531d8c4d900fdf616926426b401b9ee/allennlp_models/generation/models/bart.py#L260

相关问题或可能的重复问题

• 无

环境

操作系统：Linux
Python版本：3.9

pip freeze的输出：

absl-py==1.2.0
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allennlp-models @ file:///home/void/.cache/pypoetry/artifacts/47/88/8b/4a3be6913f179f5ff20fa64ea5ec9878fe3b0689b1c63b1e63896f3eee/allennlp_models-2.9.0-py3-none-any.whl
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langcodes @ file:///home/void/.cache/pypoetry/artifacts/3c/ca/b7/0bd4d35b4be068935982424d5e77c73ead0ef8d16ec4d26e58c2fa7259/langcodes-3.3.0-py3-none-any.whl
lmdb @ file:///home/void/.cache/pypoetry/artifacts/88/f7/6f/368763b557f08f461e9011d87b2bda57d49dfb4bd2acb3846ce1693767/lmdb-1.3.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
loguru @ file:///home/void/.cache/pypoetry/artifacts/af/c5/2e/90fa5f415cade87a24f804aa29454a5263fa93efb5f9568878194ebad1/loguru-0.6.0-py3-none-any.whl
m2r2 @ file:///home/void/.cache/pypoetry/artifacts/13/22/0c/6840c0a42d0edbca824d90ebfdf23e3514d686ab1df51c393580ff1ca2/m2r2-0.3.2-py3-none-any.whl
MarkupSafe @ file:///home/void/.cache/pypoetry/artifacts/f4/6d/d3/a9a915049dea17a65026c9ac187154834bfe6c9174f0dd25e602f28c45/MarkupSafe-2.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
marshmallow @ file:///home/void/.cache/pypoetry/artifacts/b1/a8/f0/dc5ab8b9250d261e30d3dccf2712fdb1abdda469f9a8ed4b26317c411d/marshmallow-3.15.0-py3-none-any.whl
marshmallow-polyfield @ file:///home/void/.cache/pypoetry/artifacts/15/54/1a/bf7b323a7e9bef7044335503b044f792374a95673e74fcf13d80690a10/marshmallow_polyfield-5.10-py3-none-any.whl
mccabe @ file:///home/void/.cache/pypoetry/artifacts/96/5e/5f/21ae5296697ca7f94de4da6e21d4936d74029c352a35202e4c339a4253/mccabe-0.6.1-py2.py3-none-any.whl
mistune @ file:///home/void/.cache/pypoetry/artifacts/33/31/4c/2d69dc65d06d1c8f8b00b8e995e24bae97fce2e1f8ec5d8d2d98e852da/mistune-0.8.4-py2.py3-none-any.whl
more-itertools @ file:///home/void/.cache/pypoetry/artifacts/a6/67/cb/fbf4fb4bbfedae39080e351b12ca64287d47c839769eeaf91434f3274c/more_itertools-8.12.0-py3-none-any.whl
multidict @ file:///home/void/.cache/pypoetry/artifacts/12/d0/ef/0b7b9499611ab1817c3e84fb92c039a4fb5ac1d0397a3b86f4c5283108/multidict-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
multiprocess @ file:///home/void/.cache/pypoetry/artifacts/5d/fb/ce/029cafd015834319024c43f708d975b006d115de466309cb8f4d8c1353/multiprocess-0.70.12.2-py39-none-any.whl
murmurhash @ file:///home/void/.cache/pypoetry/artifacts/c5/62/3e/e9b9045eda9a62bac496552aaab7dca42fa7ed5eb8ad1e2e47334f2e7b/murmurhash-1.0.6-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
mypy @ file:///home/void/.cache/pypoetry/artifacts/f3/2e/4b/a6e385cc026a07a6e7f7ea6e399b95bf05152b89029fde1cbd9dc79777/mypy-0.931-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl
mypy-extensions @ file:///home/void/.cache/pypoetry/artifacts/92/45/bf/1807ce854ff668d92602207a37bfa9316def2a3f257bd03c4c5be4bc9b/mypy_extensions-0.4.3-py2.py3-none-any.whl
nitpick @ file:///home/void/.cache/pypoetry/artifacts/e2/e5/2d/cc41b378b4b17d511941cc4a8c6726d43ae20ab8d95c811b1ffd4a0366/nitpick-0.31.0-py3-none-any.whl
nltk @ file:///home/void/.cache/pypoetry/artifacts/fa/3a/e7/039be37a8319e1d87eb9c6d4091d38c90ff404544574f52fe5fdf6a620/nltk-3.7-py3-none-any.whl
numpy @ file:///home/conda/feedstock_root/build_artifacts/numpy_1651020388495/work
packaging @ file:///home/void/.cache/pypoetry/artifacts/47/3f/ce/b240169f7d8bef1ff24a0269b709721ce86543c2ec25e0b6adb2c2d7ac/packaging-21.3-py3-none-any.whl
pandas @ file:///home/void/.cache/pypoetry/artifacts/31/04/ef/34f05c58bf930aa5a0a574177ab4757d1cdf3d8e1123ea306dcdb64739/pandas-1.4.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
parso @ file:///home/void/.cache/pypoetry/artifacts/4e/d3/c5/d91e200388f1ce44b74484eb39fbfd0797eb236741d3672a7d728668b2/parso-0.8.3-py2.py3-none-any.whl
pathtools @ file:///home/void/.cache/pypoetry/artifacts/ce/ff/c7/31da76336d55d51d979a50868616c867c7b2ea6f2d2084b8c744726ae7/pathtools-0.1.2.tar.gz
pathy @ file:///home/void/.cache/pypoetry/artifacts/50/12/78/e6a2a43271455193874ba977034f2eb9ce0c4993ce86418a8903962049/pathy-0.6.1-py3-none-any.whl
pbr @ file:///home/void/.cache/pypoetry/artifacts/84/55/59/eb463369b9b26da119a7363f15941299731f5758e62a5b5d7d6e99b19b/pbr-5.8.1-py2.py3-none-any.whl
pep8-naming @ file:///home/void/.cache/pypoetry/artifacts/c5/94/df/bcd60db349c70b5041763ab528cbf6864991142dc2a25426cc75f63068/pep8_naming-0.12.1-py2.py3-none-any.whl
Pillow==9.2.0
pluggy @ file:///home/void/.cache/pypoetry/artifacts/81/78/ca/13f743a3628faf5a0b7f021efb45f2193acba3a13663d498f6b34bf02e/pluggy-1.0.0-py2.py3-none-any.whl
preshed @ file:///home/void/.cache/pypoetry/artifacts/32/18/f6/d3ef3856138e839656c9506ee150937257b0be46dcefb42b33572b9a01/preshed-3.0.6-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
promise @ file:///home/void/.cache/pypoetry/artifacts/d6/c6/43/95f1e737b1dd79d3a5ac6cfb264a889716bab4cd9d28a9bc8c69591d53/promise-2.3.tar.gz
protobuf @ file:///home/void/.cache/pypoetry/artifacts/10/0c/35/601d986797bc33b873a6d389873300c327b39a92a29a18f1af0fba64e2/protobuf-3.20.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl
psutil @ file:///home/void/.cache/pypoetry/artifacts/19/ba/e2/d04bccece490beafb95d281e00c58ce8c6031bd5658389b25d0fee7b1f/psutil-5.9.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
py @ file:///home/void/.cache/pypoetry/artifacts/b3/5c/47/ba5a596e01a2b61fa2daa6a438252483ad8c04e6c99e5dc22eaf8a489a/py-1.11.0-py2.py3-none-any.whl
py-rouge @ file:///home/void/.cache/pypoetry/artifacts/31/31/4f/cc7585fdf5aec32c5b688726f52c2238f959caba4f6a65950f1a932745/py_rouge-1.1-py3-none-any.whl
pyarrow @ file:///home/void/.cache/pypoetry/artifacts/be/47/10/2402910ade8b5d730999bbd4d4d77a81edacf0c3c4c7ff9195a02eb368/pyarrow-7.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
pyasn1 @ file:///home/void/.cache/pypoetry/artifacts/7b/3a/54/42ce43b579bda01b9d79022fb733811594441e7a32e9f9a5a98f672bdc/pyasn1-0.4.8-py2.py3-none-any.whl
pyasn1-modules @ file:///home/void/.cache/pypoetry/artifacts/dd/b8/4f/b56433e0354274a31074995e01b8671751e9f0ed0001f5254e5b03a54f/pyasn1_modules-0.2.8-py2.py3-none-any.whl
pycodestyle @ file:///home/void/.cache/pypoetry/artifacts/80/25/e5/ced4effd2487693e96521aebb353ce58ad0d81417f71c480419ea8f44a/pycodestyle-2.8.0-py2.py3-none-any.whl
pydantic @ file:///home/void/.cache/pypoetry/artifacts/e1/bf/c1/7cdd43a1b6ea4e9cfd1e0e9e5b3276ad83c6b57194b4449da3e64fe6cf/pydantic-1.8.2-cp39-cp39-manylinux2014_x86_64.whl
pydocstyle @ file:///home/void/.cache/pypoetry/artifacts/75/e7/e5/1acad15a51efd39cf39259c7888c205fd787a92efea28f7afc5a9e315c/pydocstyle-6.1.1-py3-none-any.whl
pyflakes @ file:///home/void/.cache/pypoetry/artifacts/ad/8e/6d/e46117c96aa3e955c40ed2f0d35b29910b0e557e327fbbba17fd8c390c/pyflakes-2.4.0-py2.py3-none-any.whl
Pygments @ file:///home/void/.cache/pypoetry/artifacts/eb/89/d1/4faa7ff8e87642649c25d60a15480ea042f1cff3c237ad940149669cbf/Pygments-2.11.2-py3-none-any.whl
pyparsing @ file:///home/void/.cache/pypoetry/artifacts/8e/18/e1/a47fbcc66e38a452c34d2a444d74d8a03fd4aa7c0b6e27c0bee1582107/pyparsing-3.0.7-py3-none-any.whl
pytest @ file:///home/void/.cache/pypoetry/artifacts/0d/89/89/a248cc870a30ec312f23957c835d3c5d0a9a9b26cc85fab5453ac5a6da/pytest-7.1.1-py3-none-any.whl
pytest-cov @ file:///home/void/.cache/pypoetry/artifacts/50/df/c5/4bd35027c6247daac4ba547aff90d97ccdc7daf4aa62e110d69cfd39de/pytest_cov-3.0.0-py3-none-any.whl
pytest-randomly @ file:///home/void/.cache/pypoetry/artifacts/99/29/cd/a806a9ce497096d8fe2b4ef24aec6582ce95841657f5f9c574b99acd8f/pytest_randomly-3.11.0-py3-none-any.whl
python-dateutil @ file:///home/void/.cache/pypoetry/artifacts/53/f8/2a/7d63ce15df7386e9536e83413453f8aa845b47fb425f05c4ca2fb231c3/python_dateutil-2.8.2-py2.py3-none-any.whl
python-lsp-jsonrpc @ file:///home/void/.cache/pypoetry/artifacts/e6/0e/80/b725147ba93341249a4ba1659a62c1e5fdff33d830389c548e06f75065/python_lsp_jsonrpc-1.0.0-py3-none-any.whl
python-lsp-server @ file:///home/void/.cache/pypoetry/artifacts/6f/98/ad/d14c9cd61a8edae1c4107c73d2bf27362f447c1ed82b93fbf17ba86c6f/python_lsp_server-1.4.1-py3-none-any.whl
python-slugify @ file:///home/void/.cache/pypoetry/artifacts/26/60/f8/a441c9fdba2f1c5f992057fd43b6ccb5302a4886f17f4cde9d43a718f6/python_slugify-6.1.1-py2.py3-none-any.whl
pytz @ file:///home/void/.cache/pypoetry/artifacts/fb/60/46/e704d81037c87ab74c6677ae79ab43dda85c31e3ae38f53c44486b593a/pytz-2022.1-py2.py3-none-any.whl
PyYAML @ file:///home/void/.cache/pypoetry/artifacts/4e/12/e6/32a4a77023f06c3061d2fc6d4692aa531b8530e211b24ff1f77a39e6ee/PyYAML-6.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl
regex @ file:///home/void/.cache/pypoetry/artifacts/a0/4f/99/f2ff47e7e38a845ffad9089c618d421234de54d7dcd88287a05c9a6d39/regex-2022.3.15-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
requests @ file:///home/void/.cache/pypoetry/artifacts/ff/f3/bc/a6781f93c2f9488431db494169bb514a083a1d77f3c325a277d8699398/requests-2.27.1-py2.py3-none-any.whl
responses @ file:///home/void/.cache/pypoetry/artifacts/dc/5e/50/a9a865ad978954b88e5eef7eb145cd6df70c17ab0eebcdb06139fdba71/responses-0.18.0-py3-none-any.whl
restructuredtext-lint @ file:///home/void/.cache/pypoetry/artifacts/04/32/b5/e5036c2c17882570082f8f5147166579794efaa6ebc2fc7ab5a0aea9cb/restructuredtext_lint-1.4.0.tar.gz
rouge-score==0.1.2
rsa @ file:///home/void/.cache/pypoetry/artifacts/29/ba/41/0ee0fcca877c94f32799d12775b513c1314a9712a5c2833dc5bacff2ab/rsa-4.8-py3-none-any.whl
ruamel.yaml @ file:///home/void/.cache/pypoetry/artifacts/7c/2c/48/111028a9e95097a5ff404a2dc3c1990c911bec7802cb01366c06a9919d/ruamel.yaml-0.17.21-py3-none-any.whl
ruamel.yaml.clib @ file:///home/void/.cache/pypoetry/artifacts/52/95/75/d1a001b469ea6ed66dd6f4194c9f7eb370223816cf6292be2a8213e9a4/ruamel.yaml.clib-0.2.6-cp39-cp39-manylinux1_x86_64.whl
s3transfer @ file:///home/void/.cache/pypoetry/artifacts/37/ce/4f/6e340791b443e17e70194b28ffae5c244fefaba8c5ec34fe26803ae32c/s3transfer-0.5.2-py3-none-any.whl
sacremoses @ file:///home/void/.cache/pypoetry/artifacts/fe/98/1e/44e689995403ecb78de0d342c0bd6b1ee909c7531b041787cfef263abd/sacremoses-0.0.49-py3-none-any.whl
safety @ file:///home/void/.cache/pypoetry/artifacts/8f/cc/5a/1dc0196c65cdb3f015bad143c000d159aca6f838a21d7d10872b092b83/safety-1.10.3-py2.py3-none-any.whl
scikit-learn @ file:///home/void/.cache/pypoetry/artifacts/c0/be/ed/effc57daf70ea24f0bf3ee842d9360a8d8b334360d6ede98084313f8ca/scikit_learn-1.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
scipy @ file:///home/void/.cache/pypoetry/artifacts/cf/54/79/6934fe0ee0382e865908197894c6ef46b1339d7fbe28cb76be7eba060c/scipy-1.6.1-cp39-cp39-manylinux1_x86_64.whl
sentencepiece @ file:///home/void/.cache/pypoetry/artifacts/82/c3/b5/7dcf4928f5159deaba8f451549bd8b063b13e500873857524fc8f893c9/sentencepiece-0.1.96-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
sentry-sdk @ file:///home/void/.cache/pypoetry/artifacts/53/27/b4/436602342845428610293b503dba983d9445cc8201b396a7027cfdf0e2/sentry_sdk-1.5.8-py2.py3-none-any.whl
setproctitle @ file:///home/void/.cache/pypoetry/artifacts/ad/8f/ef/df09cb137ec0407a725040b884910167a9a01e1c291f37466bfff3ed2f/setproctitle-1.2.2-cp39-cp39-manylinux1_x86_64.whl
shortuuid @ file:///home/void/.cache/pypoetry/artifacts/1b/c2/26/0a03ab3637895180121fd749a44e5005e71b8300cdd863c20ddbf0d318/shortuuid-1.0.8-py3-none-any.whl
six @ file:///home/void/.cache/pypoetry/artifacts/08/9f/47/c16ae03035fc69eaf100ea39657a49baaeef714e25a52575710c34cd48/six-1.16.0-py2.py3-none-any.whl
smart-open @ file:///home/void/.cache/pypoetry/artifacts/90/9d/8f/b3121f6940407c06e50f8f81646a84f4551ec214bb239013488c3492e8/smart_open-5.2.1-py3-none-any.whl
smmap @ file:///home/void/.cache/pypoetry/artifacts/76/3f/89/377e56f6e08e5b1fa88da762382b4c9c817c6dd24eae2e0e190898511d/smmap-5.0.0-py3-none-any.whl
snowballstemmer @ file:///home/void/.cache/pypoetry/artifacts/a4/95/b0/c0f70d4b9bb0bac123e716da53ba9b012071cedf7c99bcf030757530f4/snowballstemmer-2.2.0-py2.py3-none-any.whl
sortedcontainers @ file:///home/void/.cache/pypoetry/artifacts/b9/80/e1/4bdfa349488797fd308ecbe48f4fad57a3245777fb47c8741730583262/sortedcontainers-2.4.0-py2.py3-none-any.whl
spacy @ file:///home/void/.cache/pypoetry/artifacts/ec/99/e6/5494087874800c47d8e2703077d94c4d68a5e48052742b0ad1a99925d8/spacy-3.2.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
spacy-legacy @ file:///home/void/.cache/pypoetry/artifacts/e6/1b/06/c503f010541d1e7a9def3bdb2ed43c3f7d7d28a5431d7b62f40bb68d6d/spacy_legacy-3.0.9-py2.py3-none-any.whl
spacy-loggers @ file:///home/void/.cache/pypoetry/artifacts/4b/67/5c/cf7286e10b61c767780bbc5ec45dd12980a68d134bdc38f560e05deeb0/spacy_loggers-1.0.2-py3-none-any.whl
Sphinx @ file:///home/void/.cache/pypoetry/artifacts/b8/21/89/626dfd895b30a559af2369438bbb53f9b97470130e07400845f5b02e7a/Sphinx-4.5.0-py3-none-any.whl
sphinx-autodoc-typehints @ file:///home/void/.cache/pypoetry/artifacts/20/93/18/5a773d9276bc8ce1415caaeebec57d0a552e288507431207cd1dd05ce2/sphinx_autodoc_typehints-1.17.0-py3-none-any.whl
sphinxcontrib-applehelp @ file:///home/void/.cache/pypoetry/artifacts/8d/eb/86/eec708bb3ff50c9780e78f36a9cb82cd9ff8030a90bd23b9a6f20aecca/sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl
sphinxcontrib-devhelp @ file:///home/void/.cache/pypoetry/artifacts/56/a5/74/11ccaa7737f06a10422027e0595b24d243af7a7a1dc4982dec22044c28/sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl
sphinxcontrib-htmlhelp @ file:///home/void/.cache/pypoetry/artifacts/66/d0/cb/7228297c74d9280e7246b52187704724b0b0881e2762cdef34e04be778/sphinxcontrib_htmlhelp-2.0.0-py2.py3-none-any.whl
sphinxcontrib-jsmath @ file:///home/void/.cache/pypoetry/artifacts/d2/22/96/2076357e64b369910aa24a20d5b719beb24a1487146e4742476ee1e2d8/sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl
sphinxcontrib-qthelp @ file:///home/void/.cache/pypoetry/artifacts/32/fc/a9/112a82396d53ec629c1450253a6ded4d94d7ffffd63acd49879543ece9/sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl
sphinxcontrib-serializinghtml @ file:///home/void/.cache/pypoetry/artifacts/e6/9a/17/830e357f3aee36549c613a2d660b5cf38d70c27ecb7c218d15c7bfffe1/sphinxcontrib_serializinghtml-1.1.5-py2.py3-none-any.whl
sqgen==0.1.0
srsly @ file:///home/void/.cache/pypoetry/artifacts/89/a3/39/8c42cc259a1c485abc0d750eab45ade4628e27862bbc13e1b55e08fdcc/srsly-2.4.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
stevedore @ file:///home/void/.cache/pypoetry/artifacts/42/17/61/45c6b9d8b0d45dd19994d1f96aa784b4e9792c968eb24e21b0816a258b/stevedore-3.5.0-py3-none-any.whl
tensorboardX @ file:///home/void/.cache/pypoetry/artifacts/92/47/7e/7ec08edf2a5dd1d263fe84464c711bf81fb5ca0750298924e7cd25bfb1/tensorboardX-2.5-py2.py3-none-any.whl
termcolor @ file:///home/void/.cache/pypoetry/artifacts/a2/5d/c7/e4ccb3b3bb8d3e3aff995fb6ffb12cfc78bbc8affa283907ee5eb5a5a5/termcolor-1.1.0.tar.gz
testfixtures @ file:///home/void/.cache/pypoetry/artifacts/42/0d/ed/2ebf061a3336990c5502f46fcc245856d3b4410e3d4534faf557ff708e/testfixtures-6.18.5-py2.py3-none-any.whl
text-unidecode @ file:///home/void/.cache/pypoetry/artifacts/34/f9/c2/484c44b08bab89d472229bbd257fcc1d1c6273ee027f01cb08c4e3c309/text_unidecode-1.3-py2.py3-none-any.whl
thinc @ file:///home/void/.cache/pypoetry/artifacts/50/36/77/e54de1f1570d8fe6d5663eedf7dd2a586d09214798e14e0812d3da7a31/thinc-8.0.15-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
threadpoolctl @ file:///home/void/.cache/pypoetry/artifacts/a1/99/8f/521268b618d08b18c198e13411a00fa56ff22bc2129adfbec84c73bc21/threadpoolctl-3.1.0-py3-none-any.whl
tokenizers @ file:///home/void/.cache/pypoetry/artifacts/76/b7/1e/e41606a4aef09b047a3994b5bd08e7a6fe647f5e1dcfaa1acde0c74661/tokenizers-0.12.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
toml @ file:///home/void/.cache/pypoetry/artifacts/6b/6a/c9/53b19f7870a77d855e8b05ecdc98193944e5d246dafe11bbcad850ecba/toml-0.10.2-py2.py3-none-any.whl
tomli @ file:///home/void/.cache/pypoetry/artifacts/73/7c/d9/9f2752fc5b05f9176c6f3adc6484be1cec75a68925b8c5fe39d6493a07/tomli-2.0.1-py3-none-any.whl
tomlkit @ file:///home/void/.cache/pypoetry/artifacts/94/40/ed/49ed2b2bc80640b90ddc4d96266c9961325337428d29b7f21cd69c3e54/tomlkit-0.10.1-py3-none-any.whl
torch==1.10.2
torch-model-archiver @ file:///home/void/.cache/pypoetry/artifacts/40/42/a1/7dbfd7727f05615e362db3ba13d0e16e7d230058f7d61ad64edf24d35e/torch_model_archiver-0.5.3-1-py2.py3-none-any.whl
torchvision==0.11.3
tqdm @ file:///home/void/.cache/pypoetry/artifacts/4f/cb/23/ea1b6f00ee018ed18b62a59f236afc58992bea37bed1c52392070e0c20/tqdm-4.63.2-py2.py3-none-any.whl
transformers @ file:///home/void/.cache/pypoetry/artifacts/73/70/cc/f69c484ede493bcdc65a51165110ec666c9b103ab8916e9b237380fca5/transformers-4.17.0-py3-none-any.whl
typer @ file:///home/void/.cache/pypoetry/artifacts/6a/ab/b8/3c3bc10517987597baf2339967f15315a3b0fe479e307e387c032eb97d/typer-0.4.1-py3-none-any.whl
typing_extensions @ file:///home/void/.cache/pypoetry/artifacts/9b/2e/e0/f2f5524348ab0c59b31fc2526543d60a53583608f35a4574a4978f5358/typing_extensions-4.1.1-py3-none-any.whl
ujson @ file:///home/void/.cache/pypoetry/artifacts/46/87/2c/1be282cb0f7a001871d3b96036b7b5297671ba93fbfaf0aa196d408579/ujson-5.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
urllib3 @ file:///home/void/.cache/pypoetry/artifacts/86/4a/ad/37e91024d94f8218fc54b1fbb58b71888f53c1636daeb28593fa254ed2/urllib3-1.26.9-py2.py3-none-any.whl
wandb @ file:///home/void/.cache/pypoetry/artifacts/87/2d/6e/f52d6900867bd9439ac8c2322abb363e8c2db0ee332596cff4a435fcf3/wandb-0.12.11-py2.py3-none-any.whl
wasabi @ file:///home/void/.cache/pypoetry/artifacts/10/b9/ba/03f58e92aec7231ab5ce047f473f003232225cea36167ba6e5ff1d7e36/wasabi-0.9.1-py3-none-any.whl
wcwidth @ file:///home/void/.cache/pypoetry/artifacts/7d/f4/60/0737157bb9711fec72c70dff523aa54491eef317e0d586cf5388ff0908/wcwidth-0.2.5-py2.py3-none-any.whl
wemake-python-styleguide @ file:///home/void/.cache/pypoetry/artifacts/47/a2/24/991460310cb6782b1c07d99c5499aa92bd5a21148d808ab6be91764993/wemake_python_styleguide-0.16.1-py3-none-any.whl
word2number @ file:///home/void/.cache/pypoetry/artifacts/91/7b/91/fd4e6b1580eb2a2f0bb8b725ba137628acb0adb21522a3ff9d69e6f5e1/word2number-1.1.zip
xxhash @ file:///home/void/.cache/pypoetry/artifacts/6b/b3/33/e526ffaa46a1fe44c8214380090bf8e2e0d50d76f3d5dfc437b174227c/xxhash-3.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
yarl @ file:///home/void/.cache/pypoetry/artifacts/a3/6b/bb/af40f3ac1dfb8650848efd34d43176c01039c7203c8f8f615543baf9d2/yarl-1.7.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl
yaspin @ file:///home/void/.cache/pypoetry/artifacts/08/96/72/a995df36daf20ca713ef9c496ef7cc2595253341a2ed64056cb8ddb82c/yaspin-2.1.0-py3-none-any.whl
zipp @ file:///home/void/.cache/pypoetry/artifacts/8a/08/12/1ce534dd356211524f826d50d2a2bfe2e99a8f3cac7355cac56639b06b/zipp-3.8.0-py3-none-any.whl

重现步骤

特别是我在这里测量调用rouge所需的时间，如下所示。

start = timer()            
self._rouge(predictions, target_ids)            
end = timer()            
print('GPU Rouge timing:', end - start)

对于批量大小为64
这需要：
GPU Rouge timing: 187.72676797099984 # That's more than 3 minutes.
我注意到rouge计算是在GPU上完成的，这可能是导致速度变慢的原因，所以我决定检查一下

start = timer()            
self._rouge(predictions.to('cpu'), target_ids.to('cpu'))            
end = timer()            
print('CPU Rouge timing:', end - start)

这需要：
CPU Rouge timing: 64.7368660709999 # Much faster but still very slow
所以我继续使用来自数据集库的rouge实现，它基本上是Google的 rouge_score 的 Package 器。

from datasets import load_dataset, load_metric
metric = load_metric("rouge")
start = timer()
pred_text = self._indexer._tokenizer.batch_decode(
    predictions.tolist(), skip_special_tokens=True
)
ref_text = self._indexer._tokenizer.batch_decode(
    target_ids.tolist(), skip_special_tokens=True
)
metric.compute(predictions=pred_text, references=ref_text, use_stemmer=True)
end = timer()
print('HFT Rouge timing:', end - start)

这需要：
HFT Rouge timing: 1.1103893849999622 # That's just one second
Allennlp中使用的rouge实现比huggingface慢了180倍，尽管它不必执行解码步骤、进行词干提取或计算RougeLSum分数。
我以前使用过这个模型，但我不记得它曾经这么慢过。这似乎是最近的事情。
对单个大小为64的批次调用rouge不应该花费3分钟，无论内部发生了什么。