🕷️ Crawler Inspector

URL Lookup

Direct Parameter Lookup

Raw Queries and Responses

1. Shard Calculation

Query:

Response:

Calculated Shard: 169 (from laksa081)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa169.int.ahrefs:8124/' \
  -H 'Content-Type: text/plain' \
  -H 'X-ClickHouse-Database: crawler3' \
  -H 'Authorization: Basic YXBpOg==' \
  -d 'SELECT getAhrefsURLFromUnparsed(src_unparsed) AS found_url, ifNull(toUnixTimestamp(download_stamp), 0) AS crawl_time, ifNull(toUnixTimestamp(props_url_first_seen), 0) AS first_indexed_time, download_http_code AS http_code, src_unparsed AS src_unparsed, src_root_hash AS src_root_hash, history_drop_reason AS history_drop_reason, meta_title AS meta_title, meta_descriptions AS meta_descriptions, meta_canonical AS meta_canonical, ml_categories_json AS ml_categories_json, ml_types_json AS ml_types_json, ml_intent_types_json AS ml_intent_types_json, meta_language AS meta_language, attrs_author AS attrs_author, ifNull(toUnixTimestamp(attrs_publish_time), 0) AS attrs_publish_time, ifNull(toUnixTimestamp(attrs_original_publish_time), 0) AS attrs_original_publish_time, ifNull(attrs_is_republished, 0) AS attrs_is_republished, ifNull(attrs_nr_words, 0) AS attrs_nr_words, ifNull(attrs_boilerpipe_nr_words, 0) AS attrs_boilerpipe_nr_words, ifNull(body_ext_links_number, 0) AS body_ext_links_number, ifNull(body_int_links_number, 0) AS body_int_links_number, ifNull(meta_nofollow, 0) AS meta_nofollow, ifNull(meta_noarchive, 0) AS meta_noarchive, ifNull(props_was_rendered, 0) AS props_was_rendered, ifNull(src_redirect, \'\') AS src_redirect, ifNull(download_time_msec, 0) AS download_time_msec, ifNull(download_ttfb_msec, 0) AS download_ttfb_msec, ifNull(download_size, 0) AS download_size FROM crawler3.page_info_local FINAL PREWHERE int_partition_id = 44 AND (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://stackoverflow.com/questions/66992585/how-does-one-use-pytorch-cuda-with-an-a100-gpu\')), getAhrefsUnparsedNoserviceFromURL(\'https://stackoverflow.com/questions/66992585/how-does-one-use-pytorch-cuda-with-an-a100-gpu\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/stackoverflow.com\/questions\/66992585\/how-does-one-use-pytorch-cuda-with-an-a100-gpu","crawl_time":1775169942,"first_indexed_time":1630759010,"http_code":200,"src_unparsed":"com,stackoverflow!\/questions\/66992585\/how-does-one-use-pytorch-cuda-with-an-a100-gpu s443","src_root_hash":"714406497480128969","history_drop_reason":null,"meta_title":"python - How does one use Pytorch (+ cuda) with an A100 GPU? - Stack Overflow","meta_descriptions":[],"meta_canonical":null,"ml_categories_json":"{\"\/Computers_and_Electronics\":983,\"\/Computers_and_Electronics\/Programming\":738,\"\/Computers_and_Electronics\/Programming\/Scripting_Languages\":605,\"\/Internet_and_Telecom\":158,\"\/Internet_and_Telecom\/Web_Services\":147,\"\/Internet_and_Telecom\/Web_Services\/Web_Design_and_Development\":137}","ml_types_json":"{\"\/Article\":744,\"\/Article\/How_to\":358}","ml_intent_types_json":"{\"Informational\":995}","meta_language":"en","attrs_author":null,"attrs_publish_time":1617822268,"attrs_original_publish_time":1617822268,"attrs_is_republished":0,"attrs_nr_words":"4798","attrs_boilerpipe_nr_words":"1185","body_ext_links_number":63,"body_int_links_number":145,"meta_nofollow":0,"meta_noarchive":0,"props_was_rendered":1,"src_redirect":"","download_time_msec":142,"download_ttfb_msec":118,"download_size":63707}

3. Robots.txt Check

Query:

Response:

4. Spam/Ban Check

Query:

Response:

5. Seen Status Check

ℹ️ Skipped - page is already crawled

📍

LOCATION

Host 169 · Partition 44

laksa169

714406497480128969

📄

INDEXABLE

✅

CRAWLED

2 months ago

🤖

ROBOTS ALLOWED

Page Info Filters

Filter	Status	Condition	Details
HTTP status	PASS	`download_http_code = 200`	HTTP 200
Age cutoff	PASS	`download_stamp > now() - 6 MONTH`	2 months ago
History drop	PASS	`isNull(history_drop_reason)`	No drop reason
Spam/ban	PASS	`fh_dont_index != 1 AND ml_spam_score = 0`	ml_spam_score=0
Canonical	PASS	`meta_canonical IS NULL OR = '' OR = src_unparsed`	Not set

Page Details

Property

Value

URL

https://stackoverflow.com/questions/66992585/how-does-one-use-pytorch-cuda-with-an-a100-gpu

Last Crawled

2026-04-02 22:45:42 (2 months ago)

First Indexed

2021-09-04 12:36:50 (4 years ago)

HTTP Status Code

200

Content

Meta Title

python - How does one use Pytorch (+ cuda) with an A100 GPU? - Stack Overflow

Meta Description

null

Meta Canonical

null

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		98.3%
/Computers_and_Electronics/Programming		73.8%
/Computers_and_Electronics/Programming/Scripting_Languages		60.5%
/Internet_and_Telecom		15.8%
/Internet_and_Telecom/Web_Services		14.7%
/Internet_and_Telecom/Web_Services/Web_Design_and_Development		13.7%

Raw JSON

{
    "/Computers_and_Electronics": 983,
    "/Computers_and_Electronics/Programming": 738,
    "/Computers_and_Electronics/Programming/Scripting_Languages": 605,
    "/Internet_and_Telecom": 158,
    "/Internet_and_Telecom/Web_Services": 147,
    "/Internet_and_Telecom/Web_Services/Web_Design_and_Development": 137
}

ML Page Types

/Article		74.4%
/Article/How_to		35.8%

Raw JSON

{
    "/Article": 744,
    "/Article/How_to": 358
}

ML Intent Types

Informational

99.5%

Raw JSON

{
    "Informational": 995
}

Content Metadata

Language

Author

null

Publish Time

2021-04-07 19:04:28 (5 years ago)

Original Publish Time

2021-04-07 19:04:28 (5 years ago)

Republished

Word Count (Total)

4,798

Word Count (Content)

1,185

Links

External Links

Internal Links

145

Technical SEO

Meta Nofollow

Meta Noarchive

JS Rendered

Yes

Redirect Target

null

Performance

Download Time (ms)

142

TTFB (ms)

118

Download Size (bytes)

63,707

Location

Host ID

169 (laksa169)

Partition ID

Root Hash

714406497480128969

Unparsed URL

com,stackoverflow!/questions/66992585/how-does-one-use-pytorch-cuda-with-an-a100-gpu s443