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Title: Small bug in info_str if selected device number is >= 1 · Issue #266 · arrayfire/arrayfire-python · GitHub

Open Graph Title: Small bug in info_str if selected device number is >= 1 · Issue #266 · arrayfire/arrayfire-python

X Title: Small bug in info_str if selected device number is >= 1 · Issue #266 · arrayfire/arrayfire-python

Description: If the currently selected device number is 1 or greater, info_str will display incorrect information for the selected device. This is due to this conditional in device.py: https://github.com/arrayfire/arrayfire-python/blob/master/arrayfi...

Open Graph Description: If the currently selected device number is 1 or greater, info_str will display incorrect information for the selected device. This is due to this conditional in device.py: https://github.com/arrayf...

X Description: If the currently selected device number is 1 or greater, info_str will display incorrect information for the selected device. This is due to this conditional in device.py: https://github.com/arrayf...

Opengraph URL: https://github.com/arrayfire/arrayfire-python/issues/266

X: @github

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Hey, it has json ld scripts:
{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Small bug in info_str if selected device number is \u003e= 1","articleBody":"If the currently selected device number is 1 or greater, info_str will display incorrect information for the selected device. This is due to this conditional in device.py: https://github.com/arrayfire/arrayfire-python/blob/master/arrayfire/device.py#L108. That is, the previous device is used for the device information. An easy fix should be to simply omit the conditional.\r\n\r\nHowever, the info_str seems to also show wrong devices after the platform has changed (though it could be related to something else too). For example when device number 1 is selected:\r\nArrayFire v3.9.0 (OpenCL 64bit)\r\n-0- AMD Accelerated Parallel Processing: gfx1036 (Compute 2.0)\r\n[1] AMD Accelerated Parallel Processing: gfx1036 (Compute 2.0)\r\n-2- AMD Accelerated Parallel Processing: gfx1036 (Compute 2.0)\r\n-3- Intel(R) OpenCL: AMD_Ryzen_5_7600X_6-Core_Processor (Compute 2.1)\r\n\r\nWith device number 3: \r\nArrayFire v3.9.0 (OpenCL 64bit)\r\n-0- AMD Accelerated Parallel Processing: gfx1036 (Compute 2.0)\r\n-1- AMD Accelerated Parallel Processing: gfx1100 (Compute 2.0)\r\n-2- AMD Accelerated Parallel Processing: gfx1036 (Compute 2.0)\r\n[3] AMD Accelerated Parallel Processing: gfx1036 (Compute 2.0)\r\n\r\nThe correct device is used in the actual computations though.\r\n\r\nNote that the C++ version shows:\r\nArrayFire v3.9.0 (OpenCL, 64-bit Windows, build b59a1ae53)\r\n-0- AMD: gfx1036, 24568 MB\r\n[1] AMD: gfx1100, 20464 MB\r\n-2- INTEL: AMD Ryzen 5 7600X 6-Core Processor             , 64662 MB\r\n-3- INTEL: AMD Ryzen 5 7600X 6-Core Processor             , 64662 MB","author":{"url":"https://github.com/villekf","@type":"Person","name":"villekf"},"datePublished":"2024-04-15T14:05:12.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":0},"url":"https://github.com/266/arrayfire-python/issues/266"}

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on Apr 15, 2024https://github.com/arrayfire/arrayfire-python/issues/266#issue-2243781082
https://github.com/arrayfire/arrayfire-python/blob/master/arrayfire/device.py#L108https://github.com/arrayfire/arrayfire-python/blob/master/arrayfire/device.py#L108
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