Security

Token

There is no security token.

Firewall

main Name
Security enabled
Stateless

Configuration

Key Value
provider security.user.provider.concrete.app_user_provider
context main
entry_point App\Security\KbinAuthenticator
user_checker App\Security\UserChecker
access_denied_handler (none)
access_denied_url (none)
authenticators
[
  "two_factor"
  "remember_me"
  "App\Security\KbinAuthenticator"
  "App\Security\FacebookAuthenticator"
  "App\Security\GoogleAuthenticator"
  "App\Security\GithubAuthenticator"
  "App\Security\KeycloakAuthenticator"
]

Listeners

Listener Duration Response
Symfony\Component\Security\Http\Firewall\ChannelListener {#723
  -map: Symfony\Component\Security\Http\AccessMap {#722 …}
  -logger: Monolog\Logger {#783 …}
  -httpPort: 80
  -httpsPort: 443
}
0.00 ms (none)
Symfony\Component\Security\Http\Firewall\ContextListener {#706
  -tokenStorage: Symfony\Component\Security\Core\Authentication\Token\Storage\TokenStorage {#1017 …}
  -sessionKey: "_security_main"
  -logger: Monolog\Logger {#783 …}
  -userProviders: Symfony\Component\DependencyInjection\Argument\RewindableGenerator {#705 …}
  -dispatcher: Symfony\Component\EventDispatcher\Debug\TraceableEventDispatcher {#747 …}
  -registered: false
  -trustResolver: Scheb\TwoFactorBundle\Security\Authentication\AuthenticationTrustResolver {#780 …}
  -sessionTrackerEnabler: Symfony\Component\Security\Core\Authentication\Token\Storage\UsageTrackingTokenStorage::enableUsageTracking(): void {#703 …}
}
144.78 ms (none)
Symfony\Component\Security\Http\Firewall\AuthenticatorManagerListener {#584
  -authenticatorManager: Symfony\Component\Security\Http\Authentication\AuthenticatorManager {#595 …}
}
0.00 ms (none)
Scheb\TwoFactorBundle\Security\Http\Firewall\TwoFactorAccessListener {#582
  -twoFactorFirewallConfig: Scheb\TwoFactorBundle\Security\TwoFactor\TwoFactorFirewallConfig {#842 …}
  -tokenStorage: Symfony\Component\Security\Core\Authentication\Token\Storage\UsageTrackingTokenStorage {#1018 …}
  -twoFactorAccessDecider: Scheb\TwoFactorBundle\Security\Authorization\TwoFactorAccessDecider {#581 …}
}
0.09 ms (none)
Symfony\Component\Security\Http\Firewall\AccessListener {#579
  -tokenStorage: Symfony\Component\Security\Core\Authentication\Token\Storage\UsageTrackingTokenStorage {#1018 …}
  -accessDecisionManager: Symfony\Component\Security\Core\Authorization\TraceableAccessDecisionManager {#937 …}
  -map: Symfony\Component\Security\Http\AccessMap {#722 …}
}
0.00 ms (none)
Symfony\Component\Security\Http\Firewall\LogoutListener {#786
  -tokenStorage: Symfony\Component\Security\Core\Authentication\Token\Storage\UsageTrackingTokenStorage {#1018 …}
  -options: [
    "csrf_parameter" => "_csrf_token"
    "csrf_token_id" => "logout"
    "logout_path" => "app_logout"
  ]
  -httpUtils: Symfony\Component\Security\Http\HttpUtils {#841 …}
  -csrfTokenManager: Symfony\Component\Security\Csrf\CsrfTokenManager {#1015 …}
  -eventDispatcher: Symfony\Component\EventDispatcher\Debug\TraceableEventDispatcher {#747 …}
}
0.00 ms (none)

Authenticators

No authenticators have been recorded. Check previous profiles on your authentication endpoint.

Access Decision

affirmative Strategy
# Voter class
1
"Symfony\Component\Security\Core\Authorization\Voter\AuthenticatedVoter"
2
"Scheb\TwoFactorBundle\Security\Authorization\Voter\TwoFactorInProgressVoter"
3
"Symfony\Component\Security\Core\Authorization\Voter\RoleHierarchyVoter"
4
"Symfony\Component\Security\Core\Authorization\Voter\ExpressionVoter"
5
"App\Security\Voter\EntryCommentVoter"
6
"App\Security\Voter\EntryVoter"
7
"App\Security\Voter\MagazineVoter"
8
"App\Security\Voter\MessageThreadVoter"
9
"App\Security\Voter\MessageVoter"
10
"App\Security\Voter\NotificationVoter"
11
"App\Security\Voter\OAuth2UserConsentVoter"
12
"App\Security\Voter\PostCommentVoter"
13
"App\Security\Voter\PostVoter"
14
"App\Security\Voter\UserVoter"

Access decision log

# Result Attributes Object
1 DENIED ROLE_USER
null
"Scheb\TwoFactorBundle\Security\Authorization\Voter\TwoFactorInProgressVoter"
ACCESS ABSTAIN
"Symfony\Component\Security\Core\Authorization\Voter\RoleHierarchyVoter"
ACCESS DENIED
"App\Security\Voter\EntryCommentVoter"
ACCESS ABSTAIN
"App\Security\Voter\EntryVoter"
ACCESS ABSTAIN
"App\Security\Voter\MagazineVoter"
ACCESS ABSTAIN
"App\Security\Voter\MessageThreadVoter"
ACCESS ABSTAIN
"App\Security\Voter\MessageVoter"
ACCESS ABSTAIN
"App\Security\Voter\NotificationVoter"
ACCESS ABSTAIN
"App\Security\Voter\OAuth2UserConsentVoter"
ACCESS ABSTAIN
"App\Security\Voter\PostCommentVoter"
ACCESS ABSTAIN
"App\Security\Voter\PostVoter"
ACCESS ABSTAIN
"App\Security\Voter\UserVoter"
ACCESS ABSTAIN
Show voter details
2 DENIED moderate
App\Entity\Entry {#2419
  +user: Proxies\__CG__\App\Entity\User {#1970 …}
  +magazine: App\Entity\Magazine {#265
    +icon: Proxies\__CG__\App\Entity\Image {#246 …}
    +name: "linux@lemmy.ml"
    +title: "linux"
    +description: """
      From Wikipedia, the free encyclopedia\n
      \n
      Linux is a family of open source Unix-like operating systems based on the Linux kernel, an operating system kernel first released on September 17, 1991 by Linus Torvalds. Linux is typically packaged in a Linux distribution (or distro for short).\n
      \n
      Distributions include the Linux kernel and supporting system software and libraries, many of which are provided by the GNU Project. Many Linux distributions use the word “Linux” in their name, but the Free Software Foundation uses the name GNU/Linux to emphasize the importance of GNU software, causing some controversy.\n
      \n
      ### Rules\n
      \n
      - Posts must be relevant to operating systems running the Linux kernel. GNU/Linux or otherwise.\n
      - No misinformation\n
      - No NSFW content\n
      - No hate speech, bigotry, etc\n
      \n
      ### Related Communities\n
      \n
      - [!opensource@lemmy.ml](https://lemmy.ml/c/opensource)\n
      - [!libre_culture@lemmy.ml](https://lemmy.ml/c/libre_culture)\n
      - [!technology@lemmy.ml](https://lemmy.ml/c/technology)\n
      - [!libre_hardware@lemmy.ml](https://lemmy.ml/c/libre_hardware)\n
      \n
      Community icon by [Alpár-Etele Méder](https://www.iconfinder.com/pocike), licensed under [CC BY 3.0](https://creativecommons.org/licenses/by/3.0/)
      """
    +rules: null
    +subscriptionsCount: 1
    +entryCount: 1406
    +entryCommentCount: 28632
    +postCount: 6
    +postCommentCount: 214
    +isAdult: false
    +customCss: null
    +lastActive: DateTime @1729583542 {#275
      date: 2024-10-22 09:52:22.0 +02:00
    }
    +markedForDeletionAt: null
    +tags: null
    +moderators: Doctrine\ORM\PersistentCollection {#237 …}
    +ownershipRequests: Doctrine\ORM\PersistentCollection {#233 …}
    +moderatorRequests: Doctrine\ORM\PersistentCollection {#222 …}
    +entries: Doctrine\ORM\PersistentCollection {#180 …}
    +posts: Doctrine\ORM\PersistentCollection {#138 …}
    +subscriptions: Doctrine\ORM\PersistentCollection {#200 …}
    +bans: Doctrine\ORM\PersistentCollection {#117 …}
    +reports: Doctrine\ORM\PersistentCollection {#103 …}
    +badges: Doctrine\ORM\PersistentCollection {#81 …}
    +logs: Doctrine\ORM\PersistentCollection {#71 …}
    +awards: Doctrine\ORM\PersistentCollection {#1346 …}
    +categories: Doctrine\ORM\PersistentCollection {#1823 …}
    -id: 73
    +apId: "linux@lemmy.ml"
    +apProfileId: "https://lemmy.ml/c/linux"
    +apPublicUrl: "https://lemmy.ml/c/linux"
    +apFollowersUrl: "https://lemmy.ml/c/linux/followers"
    +apInboxUrl: "https://lemmy.ml/inbox"
    +apDomain: "lemmy.ml"
    +apPreferredUsername: "linux"
    +apDiscoverable: true
    +apManuallyApprovesFollowers: null
    +privateKey: null
    +publicKey: null
    +apFetchedAt: DateTime @1729583596 {#269
      date: 2024-10-22 09:53:16.0 +02:00
    }
    +apDeletedAt: null
    +apTimeoutAt: null
    +visibility: "visible             "
    +createdAt: DateTimeImmutable @1698929468 {#271
      date: 2023-11-02 13:51:08.0 +01:00
    }
  }
  +image: Proxies\__CG__\App\Entity\Image {#1943 …}
  +domain: Proxies\__CG__\App\Entity\Domain {#1912 …}
  +slug: "Fedora-40-Looks-To-Ship-AMD-ROCm-6-For-End-To-End"
  +title: "Fedora 40 Looks To Ship AMD ROCm 6 For End-To-End Open-Source GPU Acceleration"
  +url: "https://www.phoronix.com/news/Fedora-40-Eyes-AMD-ROCm-6"
  +body: null
  +type: "link"
  +lang: "en"
  +isOc: false
  +hasEmbed: false
  +commentCount: 13
  +favouriteCount: 147
  +score: 0
  +isAdult: false
  +sticky: false
  +lastActive: DateTime @1723578324 {#2414
    date: 2024-08-13 21:45:24.0 +02:00
  }
  +ip: null
  +adaAmount: 0
  +tags: null
  +mentions: null
  +comments: Doctrine\ORM\PersistentCollection {#1866 …}
  +votes: Doctrine\ORM\PersistentCollection {#1966 …}
  +reports: Doctrine\ORM\PersistentCollection {#1946 …}
  +favourites: Doctrine\ORM\PersistentCollection {#1368 …}
  +notifications: Doctrine\ORM\PersistentCollection {#2426 …}
  +badges: Doctrine\ORM\PersistentCollection {#2439 …}
  +children: []
  -id: 30238
  -titleTs: "'40':2 '6':8 'acceler':18 'amd':6 'end':11,13 'end-to-end':10 'fedora':1 'gpu':17 'look':3 'open':15 'open-sourc':14 'rocm':7 'ship':5 'sourc':16"
  -bodyTs: null
  +cross: false
  +upVotes: 0
  +downVotes: 0
  +ranking: 1705258268
  +visibility: "visible             "
  +apId: "https://lemmy.ml/post/10500695"
  +editedAt: null
  +createdAt: DateTimeImmutable @1705171868 {#1793
    date: 2024-01-13 19:51:08.0 +01:00
  }
}
"Scheb\TwoFactorBundle\Security\Authorization\Voter\TwoFactorInProgressVoter"
ACCESS ABSTAIN
"App\Security\Voter\EntryCommentVoter"
ACCESS ABSTAIN
"App\Security\Voter\EntryVoter"
ACCESS DENIED
"App\Security\Voter\MagazineVoter"
ACCESS ABSTAIN
"App\Security\Voter\MessageThreadVoter"
ACCESS ABSTAIN
"App\Security\Voter\MessageVoter"
ACCESS ABSTAIN
"App\Security\Voter\NotificationVoter"
ACCESS ABSTAIN
"App\Security\Voter\OAuth2UserConsentVoter"
ACCESS ABSTAIN
"App\Security\Voter\PostCommentVoter"
ACCESS ABSTAIN
"App\Security\Voter\PostVoter"
ACCESS ABSTAIN
"App\Security\Voter\UserVoter"
ACCESS ABSTAIN
Show voter details
3 DENIED edit
App\Entity\Entry {#2419
  +user: Proxies\__CG__\App\Entity\User {#1970 …}
  +magazine: App\Entity\Magazine {#265
    +icon: Proxies\__CG__\App\Entity\Image {#246 …}
    +name: "linux@lemmy.ml"
    +title: "linux"
    +description: """
      From Wikipedia, the free encyclopedia\n
      \n
      Linux is a family of open source Unix-like operating systems based on the Linux kernel, an operating system kernel first released on September 17, 1991 by Linus Torvalds. Linux is typically packaged in a Linux distribution (or distro for short).\n
      \n
      Distributions include the Linux kernel and supporting system software and libraries, many of which are provided by the GNU Project. Many Linux distributions use the word “Linux” in their name, but the Free Software Foundation uses the name GNU/Linux to emphasize the importance of GNU software, causing some controversy.\n
      \n
      ### Rules\n
      \n
      - Posts must be relevant to operating systems running the Linux kernel. GNU/Linux or otherwise.\n
      - No misinformation\n
      - No NSFW content\n
      - No hate speech, bigotry, etc\n
      \n
      ### Related Communities\n
      \n
      - [!opensource@lemmy.ml](https://lemmy.ml/c/opensource)\n
      - [!libre_culture@lemmy.ml](https://lemmy.ml/c/libre_culture)\n
      - [!technology@lemmy.ml](https://lemmy.ml/c/technology)\n
      - [!libre_hardware@lemmy.ml](https://lemmy.ml/c/libre_hardware)\n
      \n
      Community icon by [Alpár-Etele Méder](https://www.iconfinder.com/pocike), licensed under [CC BY 3.0](https://creativecommons.org/licenses/by/3.0/)
      """
    +rules: null
    +subscriptionsCount: 1
    +entryCount: 1406
    +entryCommentCount: 28632
    +postCount: 6
    +postCommentCount: 214
    +isAdult: false
    +customCss: null
    +lastActive: DateTime @1729583542 {#275
      date: 2024-10-22 09:52:22.0 +02:00
    }
    +markedForDeletionAt: null
    +tags: null
    +moderators: Doctrine\ORM\PersistentCollection {#237 …}
    +ownershipRequests: Doctrine\ORM\PersistentCollection {#233 …}
    +moderatorRequests: Doctrine\ORM\PersistentCollection {#222 …}
    +entries: Doctrine\ORM\PersistentCollection {#180 …}
    +posts: Doctrine\ORM\PersistentCollection {#138 …}
    +subscriptions: Doctrine\ORM\PersistentCollection {#200 …}
    +bans: Doctrine\ORM\PersistentCollection {#117 …}
    +reports: Doctrine\ORM\PersistentCollection {#103 …}
    +badges: Doctrine\ORM\PersistentCollection {#81 …}
    +logs: Doctrine\ORM\PersistentCollection {#71 …}
    +awards: Doctrine\ORM\PersistentCollection {#1346 …}
    +categories: Doctrine\ORM\PersistentCollection {#1823 …}
    -id: 73
    +apId: "linux@lemmy.ml"
    +apProfileId: "https://lemmy.ml/c/linux"
    +apPublicUrl: "https://lemmy.ml/c/linux"
    +apFollowersUrl: "https://lemmy.ml/c/linux/followers"
    +apInboxUrl: "https://lemmy.ml/inbox"
    +apDomain: "lemmy.ml"
    +apPreferredUsername: "linux"
    +apDiscoverable: true
    +apManuallyApprovesFollowers: null
    +privateKey: null
    +publicKey: null
    +apFetchedAt: DateTime @1729583596 {#269
      date: 2024-10-22 09:53:16.0 +02:00
    }
    +apDeletedAt: null
    +apTimeoutAt: null
    +visibility: "visible             "
    +createdAt: DateTimeImmutable @1698929468 {#271
      date: 2023-11-02 13:51:08.0 +01:00
    }
  }
  +image: Proxies\__CG__\App\Entity\Image {#1943 …}
  +domain: Proxies\__CG__\App\Entity\Domain {#1912 …}
  +slug: "Fedora-40-Looks-To-Ship-AMD-ROCm-6-For-End-To-End"
  +title: "Fedora 40 Looks To Ship AMD ROCm 6 For End-To-End Open-Source GPU Acceleration"
  +url: "https://www.phoronix.com/news/Fedora-40-Eyes-AMD-ROCm-6"
  +body: null
  +type: "link"
  +lang: "en"
  +isOc: false
  +hasEmbed: false
  +commentCount: 13
  +favouriteCount: 147
  +score: 0
  +isAdult: false
  +sticky: false
  +lastActive: DateTime @1723578324 {#2414
    date: 2024-08-13 21:45:24.0 +02:00
  }
  +ip: null
  +adaAmount: 0
  +tags: null
  +mentions: null
  +comments: Doctrine\ORM\PersistentCollection {#1866 …}
  +votes: Doctrine\ORM\PersistentCollection {#1966 …}
  +reports: Doctrine\ORM\PersistentCollection {#1946 …}
  +favourites: Doctrine\ORM\PersistentCollection {#1368 …}
  +notifications: Doctrine\ORM\PersistentCollection {#2426 …}
  +badges: Doctrine\ORM\PersistentCollection {#2439 …}
  +children: []
  -id: 30238
  -titleTs: "'40':2 '6':8 'acceler':18 'amd':6 'end':11,13 'end-to-end':10 'fedora':1 'gpu':17 'look':3 'open':15 'open-sourc':14 'rocm':7 'ship':5 'sourc':16"
  -bodyTs: null
  +cross: false
  +upVotes: 0
  +downVotes: 0
  +ranking: 1705258268
  +visibility: "visible             "
  +apId: "https://lemmy.ml/post/10500695"
  +editedAt: null
  +createdAt: DateTimeImmutable @1705171868 {#1793
    date: 2024-01-13 19:51:08.0 +01:00
  }
}
"Scheb\TwoFactorBundle\Security\Authorization\Voter\TwoFactorInProgressVoter"
ACCESS ABSTAIN
"App\Security\Voter\EntryCommentVoter"
ACCESS ABSTAIN
"App\Security\Voter\EntryVoter"
ACCESS DENIED
"App\Security\Voter\MagazineVoter"
ACCESS ABSTAIN
"App\Security\Voter\MessageThreadVoter"
ACCESS ABSTAIN
"App\Security\Voter\MessageVoter"
ACCESS ABSTAIN
"App\Security\Voter\NotificationVoter"
ACCESS ABSTAIN
"App\Security\Voter\OAuth2UserConsentVoter"
ACCESS ABSTAIN
"App\Security\Voter\PostCommentVoter"
ACCESS ABSTAIN
"App\Security\Voter\PostVoter"
ACCESS ABSTAIN
"App\Security\Voter\UserVoter"
ACCESS ABSTAIN
Show voter details
4 DENIED moderate
App\Entity\Entry {#2419
  +user: Proxies\__CG__\App\Entity\User {#1970 …}
  +magazine: App\Entity\Magazine {#265
    +icon: Proxies\__CG__\App\Entity\Image {#246 …}
    +name: "linux@lemmy.ml"
    +title: "linux"
    +description: """
      From Wikipedia, the free encyclopedia\n
      \n
      Linux is a family of open source Unix-like operating systems based on the Linux kernel, an operating system kernel first released on September 17, 1991 by Linus Torvalds. Linux is typically packaged in a Linux distribution (or distro for short).\n
      \n
      Distributions include the Linux kernel and supporting system software and libraries, many of which are provided by the GNU Project. Many Linux distributions use the word “Linux” in their name, but the Free Software Foundation uses the name GNU/Linux to emphasize the importance of GNU software, causing some controversy.\n
      \n
      ### Rules\n
      \n
      - Posts must be relevant to operating systems running the Linux kernel. GNU/Linux or otherwise.\n
      - No misinformation\n
      - No NSFW content\n
      - No hate speech, bigotry, etc\n
      \n
      ### Related Communities\n
      \n
      - [!opensource@lemmy.ml](https://lemmy.ml/c/opensource)\n
      - [!libre_culture@lemmy.ml](https://lemmy.ml/c/libre_culture)\n
      - [!technology@lemmy.ml](https://lemmy.ml/c/technology)\n
      - [!libre_hardware@lemmy.ml](https://lemmy.ml/c/libre_hardware)\n
      \n
      Community icon by [Alpár-Etele Méder](https://www.iconfinder.com/pocike), licensed under [CC BY 3.0](https://creativecommons.org/licenses/by/3.0/)
      """
    +rules: null
    +subscriptionsCount: 1
    +entryCount: 1406
    +entryCommentCount: 28632
    +postCount: 6
    +postCommentCount: 214
    +isAdult: false
    +customCss: null
    +lastActive: DateTime @1729583542 {#275
      date: 2024-10-22 09:52:22.0 +02:00
    }
    +markedForDeletionAt: null
    +tags: null
    +moderators: Doctrine\ORM\PersistentCollection {#237 …}
    +ownershipRequests: Doctrine\ORM\PersistentCollection {#233 …}
    +moderatorRequests: Doctrine\ORM\PersistentCollection {#222 …}
    +entries: Doctrine\ORM\PersistentCollection {#180 …}
    +posts: Doctrine\ORM\PersistentCollection {#138 …}
    +subscriptions: Doctrine\ORM\PersistentCollection {#200 …}
    +bans: Doctrine\ORM\PersistentCollection {#117 …}
    +reports: Doctrine\ORM\PersistentCollection {#103 …}
    +badges: Doctrine\ORM\PersistentCollection {#81 …}
    +logs: Doctrine\ORM\PersistentCollection {#71 …}
    +awards: Doctrine\ORM\PersistentCollection {#1346 …}
    +categories: Doctrine\ORM\PersistentCollection {#1823 …}
    -id: 73
    +apId: "linux@lemmy.ml"
    +apProfileId: "https://lemmy.ml/c/linux"
    +apPublicUrl: "https://lemmy.ml/c/linux"
    +apFollowersUrl: "https://lemmy.ml/c/linux/followers"
    +apInboxUrl: "https://lemmy.ml/inbox"
    +apDomain: "lemmy.ml"
    +apPreferredUsername: "linux"
    +apDiscoverable: true
    +apManuallyApprovesFollowers: null
    +privateKey: null
    +publicKey: null
    +apFetchedAt: DateTime @1729583596 {#269
      date: 2024-10-22 09:53:16.0 +02:00
    }
    +apDeletedAt: null
    +apTimeoutAt: null
    +visibility: "visible             "
    +createdAt: DateTimeImmutable @1698929468 {#271
      date: 2023-11-02 13:51:08.0 +01:00
    }
  }
  +image: Proxies\__CG__\App\Entity\Image {#1943 …}
  +domain: Proxies\__CG__\App\Entity\Domain {#1912 …}
  +slug: "Fedora-40-Looks-To-Ship-AMD-ROCm-6-For-End-To-End"
  +title: "Fedora 40 Looks To Ship AMD ROCm 6 For End-To-End Open-Source GPU Acceleration"
  +url: "https://www.phoronix.com/news/Fedora-40-Eyes-AMD-ROCm-6"
  +body: null
  +type: "link"
  +lang: "en"
  +isOc: false
  +hasEmbed: false
  +commentCount: 13
  +favouriteCount: 147
  +score: 0
  +isAdult: false
  +sticky: false
  +lastActive: DateTime @1723578324 {#2414
    date: 2024-08-13 21:45:24.0 +02:00
  }
  +ip: null
  +adaAmount: 0
  +tags: null
  +mentions: null
  +comments: Doctrine\ORM\PersistentCollection {#1866 …}
  +votes: Doctrine\ORM\PersistentCollection {#1966 …}
  +reports: Doctrine\ORM\PersistentCollection {#1946 …}
  +favourites: Doctrine\ORM\PersistentCollection {#1368 …}
  +notifications: Doctrine\ORM\PersistentCollection {#2426 …}
  +badges: Doctrine\ORM\PersistentCollection {#2439 …}
  +children: []
  -id: 30238
  -titleTs: "'40':2 '6':8 'acceler':18 'amd':6 'end':11,13 'end-to-end':10 'fedora':1 'gpu':17 'look':3 'open':15 'open-sourc':14 'rocm':7 'ship':5 'sourc':16"
  -bodyTs: null
  +cross: false
  +upVotes: 0
  +downVotes: 0
  +ranking: 1705258268
  +visibility: "visible             "
  +apId: "https://lemmy.ml/post/10500695"
  +editedAt: null
  +createdAt: DateTimeImmutable @1705171868 {#1793
    date: 2024-01-13 19:51:08.0 +01:00
  }
}
"Scheb\TwoFactorBundle\Security\Authorization\Voter\TwoFactorInProgressVoter"
ACCESS ABSTAIN
"App\Security\Voter\EntryCommentVoter"
ACCESS ABSTAIN
"App\Security\Voter\EntryVoter"
ACCESS DENIED
"App\Security\Voter\MagazineVoter"
ACCESS ABSTAIN
"App\Security\Voter\MessageThreadVoter"
ACCESS ABSTAIN
"App\Security\Voter\MessageVoter"
ACCESS ABSTAIN
"App\Security\Voter\NotificationVoter"
ACCESS ABSTAIN
"App\Security\Voter\OAuth2UserConsentVoter"
ACCESS ABSTAIN
"App\Security\Voter\PostCommentVoter"
ACCESS ABSTAIN
"App\Security\Voter\PostVoter"
ACCESS ABSTAIN
"App\Security\Voter\UserVoter"
ACCESS ABSTAIN
Show voter details
5 DENIED ROLE_USER
null
"Scheb\TwoFactorBundle\Security\Authorization\Voter\TwoFactorInProgressVoter"
ACCESS ABSTAIN
"Symfony\Component\Security\Core\Authorization\Voter\RoleHierarchyVoter"
ACCESS DENIED
"App\Security\Voter\EntryCommentVoter"
ACCESS ABSTAIN
"App\Security\Voter\EntryVoter"
ACCESS ABSTAIN
"App\Security\Voter\MagazineVoter"
ACCESS ABSTAIN
"App\Security\Voter\MessageThreadVoter"
ACCESS ABSTAIN
"App\Security\Voter\MessageVoter"
ACCESS ABSTAIN
"App\Security\Voter\NotificationVoter"
ACCESS ABSTAIN
"App\Security\Voter\OAuth2UserConsentVoter"
ACCESS ABSTAIN
"App\Security\Voter\PostCommentVoter"
ACCESS ABSTAIN
"App\Security\Voter\PostVoter"
ACCESS ABSTAIN
"App\Security\Voter\UserVoter"
ACCESS ABSTAIN
Show voter details
6 DENIED moderate
App\Entity\EntryComment {#3992
  +user: App\Entity\User {#3940 …}
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    > ROCm is that its very unstable\n
    \n
    That’s true, but ROCm does get better very quickly. Before last summer it was impossible for me to compile and run HIP code on my laptop, and then after one magic update everything worked. I can’t speak for rendering as that’s not my field, but I’ve done plenty of computational code with HIP and the performance was really good.\n
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    """
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      +body: "HIP is amazing. For everyone saying *“nah it can’t be the same, CUDA rulez”*, just try it, it works on NVidia GPUs too (there are basically macros and stuff that remap everything to CUDA API calls) so if you code for HIP you’re basically targetting at least two GPU vendors. ROCm is the only framework that allows me to do GPGPU programming in CUDA style on a thin laptop sporting an AMD APU while still enjoying 6 to 8 hours of battery life when I don’t do GPU stuff. With CUDA, in terms of mobility, the only choices you get are a beefy and expensive gaming laptop with a pathetic battery life and heating issues, or a light laptop + SSHing into a server with an NVidia GPU."
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    +body: "The problem with ROCm is that its very unstable and a ton of applications break on it. Darktable only renders half an image on my Radeon 680M laptop. HIP in Blender is also much slower than Optix. We’re still waiting on HIP-RT."
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  +body: """
    > ROCm is that its very unstable\n
    \n
    That’s true, but ROCm does get better very quickly. Before last summer it was impossible for me to compile and run HIP code on my laptop, and then after one magic update everything worked. I can’t speak for rendering as that’s not my field, but I’ve done plenty of computational code with HIP and the performance was really good.\n
    \n
    But my point was more about coding in HIP, not really about using stuff other people made with HIP. If you write your code with HIP in mind from the start, the results are usually good and you get good intuition about the hardware differences (warps for instance are of size 32 on NVidia but can be 32 or 64 on AMD and that makes a difference if your code makes use of warp intrinsics). If however you just use AMD’s CUDA-to-HIP porting tool, then yeah chances are things won’t work on the first run and you need to refine by hand, starting with all the implicit assumptions you made about how the NVidia hardware works.
    """
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        Community icon by [Alpár-Etele Méder](https://www.iconfinder.com/pocike), licensed under [CC BY 3.0](https://creativecommons.org/licenses/by/3.0/)
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    +body: "The problem with ROCm is that its very unstable and a ton of applications break on it. Darktable only renders half an image on my Radeon 680M laptop. HIP in Blender is also much slower than Optix. We’re still waiting on HIP-RT."
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  +body: """
    > ROCm is that its very unstable\n
    \n
    That’s true, but ROCm does get better very quickly. Before last summer it was impossible for me to compile and run HIP code on my laptop, and then after one magic update everything worked. I can’t speak for rendering as that’s not my field, but I’ve done plenty of computational code with HIP and the performance was really good.\n
    \n
    But my point was more about coding in HIP, not really about using stuff other people made with HIP. If you write your code with HIP in mind from the start, the results are usually good and you get good intuition about the hardware differences (warps for instance are of size 32 on NVidia but can be 32 or 64 on AMD and that makes a difference if your code makes use of warp intrinsics). If however you just use AMD’s CUDA-to-HIP porting tool, then yeah chances are things won’t work on the first run and you need to refine by hand, starting with all the implicit assumptions you made about how the NVidia hardware works.
    """
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      date: 2024-01-13 19:51:08.0 +01:00
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    +body: "How is the situation with ROCm using consumer GPUs for AI/DL and pytorch? Is it usable or should I stick to NVIDIA? I am planning to buy a GPU in the next 2-3 months and so far I am thinking of getting either 7900XTX or the 4070 Ti Super, and wait to see how the reviews and the AMD pricing will progress."
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  +body: """
    Works out of the box on my laptop (the `export` below is to force ROCm to accept my APU since it’s not officially supported yet, but the 7900XTX should have official support):\n
    \n
    [![](https://lemmy.world/pictrs/image/18fc2c67-2486-4205-bfa1-bcc3df638bfd.png)](https://lemmy.world/pictrs/image/18fc2c67-2486-4205-bfa1-bcc3df638bfd.png)\n
    \n
    Last year only compiling and running your own kernels with `hipcc` worked on this same laptop, the AMD devs are really doing god’s work here.
    """
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        Distributions include the Linux kernel and supporting system software and libraries, many of which are provided by the GNU Project. Many Linux distributions use the word “Linux” in their name, but the Free Software Foundation uses the name GNU/Linux to emphasize the importance of GNU software, causing some controversy.\n
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        - [!technology@lemmy.ml](https://lemmy.ml/c/technology)\n
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        \n
        Community icon by [Alpár-Etele Méder](https://www.iconfinder.com/pocike), licensed under [CC BY 3.0](https://creativecommons.org/licenses/by/3.0/)
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    +body: "How is the situation with ROCm using consumer GPUs for AI/DL and pytorch? Is it usable or should I stick to NVIDIA? I am planning to buy a GPU in the next 2-3 months and so far I am thinking of getting either 7900XTX or the 4070 Ti Super, and wait to see how the reviews and the AMD pricing will progress."
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  +root: App\Entity\EntryComment {#3992}
  +body: """
    Works out of the box on my laptop (the `export` below is to force ROCm to accept my APU since it’s not officially supported yet, but the 7900XTX should have official support):\n
    \n
    [![](https://lemmy.world/pictrs/image/18fc2c67-2486-4205-bfa1-bcc3df638bfd.png)](https://lemmy.world/pictrs/image/18fc2c67-2486-4205-bfa1-bcc3df638bfd.png)\n
    \n
    Last year only compiling and running your own kernels with `hipcc` worked on this same laptop, the AMD devs are really doing god’s work here.
    """
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    date: 2024-08-12 00:11:06.0 +02:00
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}
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Show voter details
24 DENIED moderate
App\Entity\EntryComment {#4317
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        - [!libre_hardware@lemmy.ml](https://lemmy.ml/c/libre_hardware)\n
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        Community icon by [Alpár-Etele Méder](https://www.iconfinder.com/pocike), licensed under [CC BY 3.0](https://creativecommons.org/licenses/by/3.0/)
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      +body: "HIP is amazing. For everyone saying *“nah it can’t be the same, CUDA rulez”*, just try it, it works on NVidia GPUs too (there are basically macros and stuff that remap everything to CUDA API calls) so if you code for HIP you’re basically targetting at least two GPU vendors. ROCm is the only framework that allows me to do GPGPU programming in CUDA style on a thin laptop sporting an AMD APU while still enjoying 6 to 8 hours of battery life when I don’t do GPU stuff. With CUDA, in terms of mobility, the only choices you get are a beefy and expensive gaming laptop with a pathetic battery life and heating issues, or a light laptop + SSHing into a server with an NVidia GPU."
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    +body: "How is the situation with ROCm using consumer GPUs for AI/DL and pytorch? Is it usable or should I stick to NVIDIA? I am planning to buy a GPU in the next 2-3 months and so far I am thinking of getting either 7900XTX or the 4070 Ti Super, and wait to see how the reviews and the AMD pricing will progress."
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  +body: """
    Works out of the box on my laptop (the `export` below is to force ROCm to accept my APU since it’s not officially supported yet, but the 7900XTX should have official support):\n
    \n
    [![](https://lemmy.world/pictrs/image/18fc2c67-2486-4205-bfa1-bcc3df638bfd.png)](https://lemmy.world/pictrs/image/18fc2c67-2486-4205-bfa1-bcc3df638bfd.png)\n
    \n
    Last year only compiling and running your own kernels with `hipcc` worked on this same laptop, the AMD devs are really doing god’s work here.
    """
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        - [!libre_hardware@lemmy.ml](https://lemmy.ml/c/libre_hardware)\n
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        Community icon by [Alpár-Etele Méder](https://www.iconfinder.com/pocike), licensed under [CC BY 3.0](https://creativecommons.org/licenses/by/3.0/)
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    +body: """
      Works out of the box on my laptop (the `export` below is to force ROCm to accept my APU since it’s not officially supported yet, but the 7900XTX should have official support):\n
      \n
      [![](https://lemmy.world/pictrs/image/18fc2c67-2486-4205-bfa1-bcc3df638bfd.png)](https://lemmy.world/pictrs/image/18fc2c67-2486-4205-bfa1-bcc3df638bfd.png)\n
      \n
      Last year only compiling and running your own kernels with `hipcc` worked on this same laptop, the AMD devs are really doing god’s work here.
      """
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        - [!technology@lemmy.ml](https://lemmy.ml/c/technology)\n
        - [!libre_hardware@lemmy.ml](https://lemmy.ml/c/libre_hardware)\n
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        +body: "HIP is amazing. For everyone saying *“nah it can’t be the same, CUDA rulez”*, just try it, it works on NVidia GPUs too (there are basically macros and stuff that remap everything to CUDA API calls) so if you code for HIP you’re basically targetting at least two GPU vendors. ROCm is the only framework that allows me to do GPGPU programming in CUDA style on a thin laptop sporting an AMD APU while still enjoying 6 to 8 hours of battery life when I don’t do GPU stuff. With CUDA, in terms of mobility, the only choices you get are a beefy and expensive gaming laptop with a pathetic battery life and heating issues, or a light laptop + SSHing into a server with an NVidia GPU."
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      +body: "How is the situation with ROCm using consumer GPUs for AI/DL and pytorch? Is it usable or should I stick to NVIDIA? I am planning to buy a GPU in the next 2-3 months and so far I am thinking of getting either 7900XTX or the 4070 Ti Super, and wait to see how the reviews and the AMD pricing will progress."
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    +body: """
      Works out of the box on my laptop (the `export` below is to force ROCm to accept my APU since it’s not officially supported yet, but the 7900XTX should have official support):\n
      \n
      [![](https://lemmy.world/pictrs/image/18fc2c67-2486-4205-bfa1-bcc3df638bfd.png)](https://lemmy.world/pictrs/image/18fc2c67-2486-4205-bfa1-bcc3df638bfd.png)\n
      \n
      Last year only compiling and running your own kernels with `hipcc` worked on this same laptop, the AMD devs are really doing god’s work here.
      """
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  +body: "Anything that is still broken or works better on CUDA? It is really hard to get the whole picture on how things are on ROCm as the majority of people are not using it and in the past I did some tests and it wasn’t working well."
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28 DENIED moderate
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        From Wikipedia, the free encyclopedia\n
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        Linux is a family of open source Unix-like operating systems based on the Linux kernel, an operating system kernel first released on September 17, 1991 by Linus Torvalds. Linux is typically packaged in a Linux distribution (or distro for short).\n
        \n
        Distributions include the Linux kernel and supporting system software and libraries, many of which are provided by the GNU Project. Many Linux distributions use the word “Linux” in their name, but the Free Software Foundation uses the name GNU/Linux to emphasize the importance of GNU software, causing some controversy.\n
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        - No misinformation\n
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        - No hate speech, bigotry, etc\n
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        ### Related Communities\n
        \n
        - [!opensource@lemmy.ml](https://lemmy.ml/c/opensource)\n
        - [!libre_culture@lemmy.ml](https://lemmy.ml/c/libre_culture)\n
        - [!technology@lemmy.ml](https://lemmy.ml/c/technology)\n
        - [!libre_hardware@lemmy.ml](https://lemmy.ml/c/libre_hardware)\n
        \n
        Community icon by [Alpár-Etele Méder](https://www.iconfinder.com/pocike), licensed under [CC BY 3.0](https://creativecommons.org/licenses/by/3.0/)
        """
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        +body: "HIP is amazing. For everyone saying *“nah it can’t be the same, CUDA rulez”*, just try it, it works on NVidia GPUs too (there are basically macros and stuff that remap everything to CUDA API calls) so if you code for HIP you’re basically targetting at least two GPU vendors. ROCm is the only framework that allows me to do GPGPU programming in CUDA style on a thin laptop sporting an AMD APU while still enjoying 6 to 8 hours of battery life when I don’t do GPU stuff. With CUDA, in terms of mobility, the only choices you get are a beefy and expensive gaming laptop with a pathetic battery life and heating issues, or a light laptop + SSHing into a server with an NVidia GPU."
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      +body: "How is the situation with ROCm using consumer GPUs for AI/DL and pytorch? Is it usable or should I stick to NVIDIA? I am planning to buy a GPU in the next 2-3 months and so far I am thinking of getting either 7900XTX or the 4070 Ti Super, and wait to see how the reviews and the AMD pricing will progress."
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    +body: """
      Works out of the box on my laptop (the `export` below is to force ROCm to accept my APU since it’s not officially supported yet, but the 7900XTX should have official support):\n
      \n
      [![](https://lemmy.world/pictrs/image/18fc2c67-2486-4205-bfa1-bcc3df638bfd.png)](https://lemmy.world/pictrs/image/18fc2c67-2486-4205-bfa1-bcc3df638bfd.png)\n
      \n
      Last year only compiling and running your own kernels with `hipcc` worked on this same laptop, the AMD devs are really doing god’s work here.
      """
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  +body: "Anything that is still broken or works better on CUDA? It is really hard to get the whole picture on how things are on ROCm as the majority of people are not using it and in the past I did some tests and it wasn’t working well."
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        - [!libre_culture@lemmy.ml](https://lemmy.ml/c/libre_culture)\n
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        +body: "How is the situation with ROCm using consumer GPUs for AI/DL and pytorch? Is it usable or should I stick to NVIDIA? I am planning to buy a GPU in the next 2-3 months and so far I am thinking of getting either 7900XTX or the 4070 Ti Super, and wait to see how the reviews and the AMD pricing will progress."
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      +body: """
        Works out of the box on my laptop (the `export` below is to force ROCm to accept my APU since it’s not officially supported yet, but the 7900XTX should have official support):\n
        \n
        [![](https://lemmy.world/pictrs/image/18fc2c67-2486-4205-bfa1-bcc3df638bfd.png)](https://lemmy.world/pictrs/image/18fc2c67-2486-4205-bfa1-bcc3df638bfd.png)\n
        \n
        Last year only compiling and running your own kernels with `hipcc` worked on this same laptop, the AMD devs are really doing god’s work here.
        """
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    +body: "Anything that is still broken or works better on CUDA? It is really hard to get the whole picture on how things are on ROCm as the majority of people are not using it and in the past I did some tests and it wasn’t working well."
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  +body: "Hard to tell as it’s really dependent on your use. I’m mostly writing my own kernels (so, as if you’re doing CUDA basically), and doing “scientific ML” (SciML) stuff that doesn’t need anything beyond doing backprop on stuff with matrix multiplications and elementwise nonlinearities and some convolutions, and so far everything works. If you want some specific simple examples from computer vision: ResNet18 and VGG19 work fine."
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31 DENIED edit
App\Entity\EntryComment {#4360
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        Distributions include the Linux kernel and supporting system software and libraries, many of which are provided by the GNU Project. Many Linux distributions use the word “Linux” in their name, but the Free Software Foundation uses the name GNU/Linux to emphasize the importance of GNU software, causing some controversy.\n
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        ### Rules\n
        \n
        - Posts must be relevant to operating systems running the Linux kernel. GNU/Linux or otherwise.\n
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        - [!libre_culture@lemmy.ml](https://lemmy.ml/c/libre_culture)\n
        - [!technology@lemmy.ml](https://lemmy.ml/c/technology)\n
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        Community icon by [Alpár-Etele Méder](https://www.iconfinder.com/pocike), licensed under [CC BY 3.0](https://creativecommons.org/licenses/by/3.0/)
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          +body: "HIP is amazing. For everyone saying *“nah it can’t be the same, CUDA rulez”*, just try it, it works on NVidia GPUs too (there are basically macros and stuff that remap everything to CUDA API calls) so if you code for HIP you’re basically targetting at least two GPU vendors. ROCm is the only framework that allows me to do GPGPU programming in CUDA style on a thin laptop sporting an AMD APU while still enjoying 6 to 8 hours of battery life when I don’t do GPU stuff. With CUDA, in terms of mobility, the only choices you get are a beefy and expensive gaming laptop with a pathetic battery life and heating issues, or a light laptop + SSHing into a server with an NVidia GPU."
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        +body: "How is the situation with ROCm using consumer GPUs for AI/DL and pytorch? Is it usable or should I stick to NVIDIA? I am planning to buy a GPU in the next 2-3 months and so far I am thinking of getting either 7900XTX or the 4070 Ti Super, and wait to see how the reviews and the AMD pricing will progress."
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      +body: """
        Works out of the box on my laptop (the `export` below is to force ROCm to accept my APU since it’s not officially supported yet, but the 7900XTX should have official support):\n
        \n
        [![](https://lemmy.world/pictrs/image/18fc2c67-2486-4205-bfa1-bcc3df638bfd.png)](https://lemmy.world/pictrs/image/18fc2c67-2486-4205-bfa1-bcc3df638bfd.png)\n
        \n
        Last year only compiling and running your own kernels with `hipcc` worked on this same laptop, the AMD devs are really doing god’s work here.
        """
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    +body: "Anything that is still broken or works better on CUDA? It is really hard to get the whole picture on how things are on ROCm as the majority of people are not using it and in the past I did some tests and it wasn’t working well."
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  +body: "Hard to tell as it’s really dependent on your use. I’m mostly writing my own kernels (so, as if you’re doing CUDA basically), and doing “scientific ML” (SciML) stuff that doesn’t need anything beyond doing backprop on stuff with matrix multiplications and elementwise nonlinearities and some convolutions, and so far everything works. If you want some specific simple examples from computer vision: ResNet18 and VGG19 work fine."
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32 DENIED moderate
App\Entity\EntryComment {#4360
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        From Wikipedia, the free encyclopedia\n
        \n
        Linux is a family of open source Unix-like operating systems based on the Linux kernel, an operating system kernel first released on September 17, 1991 by Linus Torvalds. Linux is typically packaged in a Linux distribution (or distro for short).\n
        \n
        Distributions include the Linux kernel and supporting system software and libraries, many of which are provided by the GNU Project. Many Linux distributions use the word “Linux” in their name, but the Free Software Foundation uses the name GNU/Linux to emphasize the importance of GNU software, causing some controversy.\n
        \n
        ### Rules\n
        \n
        - Posts must be relevant to operating systems running the Linux kernel. GNU/Linux or otherwise.\n
        - No misinformation\n
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        - [!opensource@lemmy.ml](https://lemmy.ml/c/opensource)\n
        - [!libre_culture@lemmy.ml](https://lemmy.ml/c/libre_culture)\n
        - [!technology@lemmy.ml](https://lemmy.ml/c/technology)\n
        - [!libre_hardware@lemmy.ml](https://lemmy.ml/c/libre_hardware)\n
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        Community icon by [Alpár-Etele Méder](https://www.iconfinder.com/pocike), licensed under [CC BY 3.0](https://creativecommons.org/licenses/by/3.0/)
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    +title: "Fedora 40 Looks To Ship AMD ROCm 6 For End-To-End Open-Source GPU Acceleration"
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          +body: "HIP is amazing. For everyone saying *“nah it can’t be the same, CUDA rulez”*, just try it, it works on NVidia GPUs too (there are basically macros and stuff that remap everything to CUDA API calls) so if you code for HIP you’re basically targetting at least two GPU vendors. ROCm is the only framework that allows me to do GPGPU programming in CUDA style on a thin laptop sporting an AMD APU while still enjoying 6 to 8 hours of battery life when I don’t do GPU stuff. With CUDA, in terms of mobility, the only choices you get are a beefy and expensive gaming laptop with a pathetic battery life and heating issues, or a light laptop + SSHing into a server with an NVidia GPU."
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        +root: App\Entity\EntryComment {#3992}
        +body: "How is the situation with ROCm using consumer GPUs for AI/DL and pytorch? Is it usable or should I stick to NVIDIA? I am planning to buy a GPU in the next 2-3 months and so far I am thinking of getting either 7900XTX or the 4070 Ti Super, and wait to see how the reviews and the AMD pricing will progress."
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      +body: """
        Works out of the box on my laptop (the `export` below is to force ROCm to accept my APU since it’s not officially supported yet, but the 7900XTX should have official support):\n
        \n
        [![](https://lemmy.world/pictrs/image/18fc2c67-2486-4205-bfa1-bcc3df638bfd.png)](https://lemmy.world/pictrs/image/18fc2c67-2486-4205-bfa1-bcc3df638bfd.png)\n
        \n
        Last year only compiling and running your own kernels with `hipcc` worked on this same laptop, the AMD devs are really doing god’s work here.
        """
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    +body: "Anything that is still broken or works better on CUDA? It is really hard to get the whole picture on how things are on ROCm as the majority of people are not using it and in the past I did some tests and it wasn’t working well."
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  +body: "Hard to tell as it’s really dependent on your use. I’m mostly writing my own kernels (so, as if you’re doing CUDA basically), and doing “scientific ML” (SciML) stuff that doesn’t need anything beyond doing backprop on stuff with matrix multiplications and elementwise nonlinearities and some convolutions, and so far everything works. If you want some specific simple examples from computer vision: ResNet18 and VGG19 work fine."
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40 DENIED moderate
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    I think end-to-end refers to the “open source”, not the GPU acceleration. I know GPUs have always been a black magic to get working and so you often have to use proprietary, closed-source blobs from the manufacturer to get them to work.\n
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    The revolution that this is bringing seems to be that all that black magic has been able to be implemented in open-source software.\n
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    Could be wrong though, that’s just how I interpreted the article.
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    I think end-to-end refers to the “open source”, not the GPU acceleration. I know GPUs have always been a black magic to get working and so you often have to use proprietary, closed-source blobs from the manufacturer to get them to work.\n
    \n
    The revolution that this is bringing seems to be that all that black magic has been able to be implemented in open-source software.\n
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    I think end-to-end refers to the “open source”, not the GPU acceleration. I know GPUs have always been a black magic to get working and so you often have to use proprietary, closed-source blobs from the manufacturer to get them to work.\n
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      I think end-to-end refers to the “open source”, not the GPU acceleration. I know GPUs have always been a black magic to get working and so you often have to use proprietary, closed-source blobs from the manufacturer to get them to work.\n
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      I think end-to-end refers to the “open source”, not the GPU acceleration. I know GPUs have always been a black magic to get working and so you often have to use proprietary, closed-source blobs from the manufacturer to get them to work.\n
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        - [!technology@lemmy.ml](https://lemmy.ml/c/technology)\n
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      I think end-to-end refers to the “open source”, not the GPU acceleration. I know GPUs have always been a black magic to get working and so you often have to use proprietary, closed-source blobs from the manufacturer to get them to work.\n
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55 DENIED edit
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Show voter details
56 DENIED moderate
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        - [!libre_hardware@lemmy.ml](https://lemmy.ml/c/libre_hardware)\n
        \n
        Community icon by [Alpár-Etele Méder](https://www.iconfinder.com/pocike), licensed under [CC BY 3.0](https://creativecommons.org/licenses/by/3.0/)
        """
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Show voter details
57 DENIED edit
App\Entity\Magazine {#265
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    From Wikipedia, the free encyclopedia\n
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    \n
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    \n
    Community icon by [Alpár-Etele Méder](https://www.iconfinder.com/pocike), licensed under [CC BY 3.0](https://creativecommons.org/licenses/by/3.0/)
    """
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Show voter details