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📍
LOCATION
Host 143 · Partition 61
laksa143
2566890010099092343
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INDEXABLE
CRAWLED
1 month ago
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ROBOTS ALLOWED

Page Info Filters

FilterStatusConditionDetails
HTTP statusPASSdownload_http_code = 200HTTP 200
Age cutoffPASSdownload_stamp > now() - 6 MONTH1 months ago
History dropPASSisNull(history_drop_reason)No drop reason
Spam/banPASSfh_dont_index != 1 AND ml_spam_score = 0ml_spam_score=0
CanonicalPASSmeta_canonical IS NULL OR = '' OR = src_unparsedNot set

Page Details

PropertyValue
URLhttps://murphypei.github.io/blog/2020/09/pytorch-distributed
Last Crawled2026-05-03 03:24:51 (1 month ago)
First Indexed2020-09-26 07:35:34 (5 years ago)
HTTP Status Code200
Content
Meta TitlePyTorch 多进程分布式训练实战 | 拾荒志
Meta DescriptionPyTorch 可以通过 torch.nn.DataParallel 直接切分数据并行在单机多卡上,实践证明这个接口并行力度并不尽如人意,主要问题在于数据在 master 上处理然后下发到其他 slaver 上训练,而且由于 GIL 的存在只有计算是并行的。torch.distributed 提供了更好的接口和并行方式,搭配多进程接口 torch.multiprocessing 可以提供更加高效的
Meta Canonicalnull
Boilerpipe Text
heavy column, fetched on demand
Markdown
heavy column, fetched on demand
Readable Markdown
heavy column, fetched on demand
ML Classification
ML Categories
/Computers_and_Electronics
98.0%
/Computers_and_Electronics/Programming
49.1%
/Computers_and_Electronics/Programming/Development_Tools
27.7%
Raw JSON
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ML Page Types
/Article
99.9%
/Article/Tutorial_or_Guide
98.7%
Raw JSON
{
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}
ML Intent Types
Informational
99.9%
Raw JSON
{
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}
Content Metadata
Languagezh-cn
Authornull
Publish Time2020-09-24 08:02:34 (5 years ago)
Original Publish Time2020-09-01 00:00:00 (5 years ago)
RepublishedNo
Word Count (Total)786
Word Count (Content)635
Links
External Links5
Internal Links20
Technical SEO
Meta NofollowNo
Meta NoarchiveNo
JS RenderedYes
Redirect Targetnull
Performance
Download Time (ms)41
TTFB (ms)40
Download Size (bytes)12,013
Location
Host ID143 (laksa143)
Partition ID61
Root Hash2566890010099092343
Unparsed URLio,github!murphypei,/blog/2020/09/pytorch-distributed s443