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Title: cuda.core: make Device methods use their bound context by Andy-Jost · Pull Request #2750 · NVIDIA/cuda-python · GitHub

Open Graph Title: cuda.core: make Device methods use their bound context by Andy-Jost · Pull Request #2750 · NVIDIA/cuda-python

X Title: cuda.core: make Device methods use their bound context by Andy-Jost · Pull Request #2750 · NVIDIA/cuda-python

Description: Description closes #2311 Device methods that create resources or synchronize (create_stream, create_event, create_opaque_array, create_mipmapped_array, create_texture_object, create_surface_object, sync) previously operated on whatever context was current on the calling thread, so dev1.create_stream() could silently create a stream on device 0 while labeling it device_id == 1. These methods now run against the Device's bound context and restore the caller's current context afterward, including when no context is current. Details: Stream, event, array, mipmapped-array, texture, and surface creation take the target context explicitly; the C++ handle layer switches context around the driver call and undoes the creation if the caller's context cannot be restored. Device.sync() synchronizes the bound context. Device.set_current() returns the previously current context. Texture and surface creation reject resources that belong to a different device or context. Context-sensitive cleanup (default-stream frees, texture/surface destroys) runs in the owning context and warns instead of raising; handle-based destroys are left alone since they resolve their own context. _SynchronousMemoryResource binds its context at construction. Release notes for 1.2.0 and the interoperability docs describe the new behavior. Checklist New or existing tests cover these changes. The documentation is up to date with these changes. 🤖 Generated with Claude Code

Open Graph Description: Description closes #2311 Device methods that create resources or synchronize (create_stream, create_event, create_opaque_array, create_mipmapped_array, create_texture_object, create_surface_object,...

X Description: Description closes #2311 Device methods that create resources or synchronize (create_stream, create_event, create_opaque_array, create_mipmapped_array, create_texture_object, create_surface_object,...

Opengraph URL: https://github.com/NVIDIA/cuda-python/pull/2750

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83a3d46 cuda.core: make Device methods use their bound context Andy-Jost Sep 1, 2026 https://github.com/NVIDIA/cuda-python/pull/2750/commits/83a3d466908a6fa0a01a74671285b899e5d27567
51ede51 cuda.core: address review of #2750 Andy-Jost Sep 4, 2026 https://github.com/NVIDIA/cuda-python/pull/2750/commits/51ede5119b24282eb98a08eb302d33e03f810b0a
bc5723c Merge remote-tracking branch 'origin/main' into ajost/issue-2311-devi… Andy-Jost Sep 4, 2026 https://github.com/NVIDIA/cuda-python/pull/2750/commits/bc5723cb91edb0b909b579af3f39bdfca443c310
85986ee cuda.core tests: fix driver-call plumbing in the bound-context helper Andy-Jost Sep 4, 2026 https://github.com/NVIDIA/cuda-python/pull/2750/commits/85986ee757619bfc6a0b856d6b7a3d3540c5231e
ec57bbb Merge remote-tracking branch 'origin/main' into ajost/issue-2311-devi… Andy-Jost Sep 4, 2026 https://github.com/NVIDIA/cuda-python/pull/2750/commits/ec57bbb80a152a81722a06721c584ba58ed705ba
cdb75ce cuda.core: regenerate stub with stubgen-pyx 0.2.22 Andy-Jost Sep 4, 2026 https://github.com/NVIDIA/cuda-python/pull/2750/commits/cdb75ceda82cc86629127343333392d3238ebc58
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https://github.com/NVIDIA/cuda-python/pull/2750/changes#diff-affd41ef2c043d926851943d7d93ae9626a0da4648c5a6d4567524620c9ef61f
https://github.com/NVIDIA/cuda-python/pull/2750/changes#diff-affd41ef2c043d926851943d7d93ae9626a0da4648c5a6d4567524620c9ef61f
https://github.com/NVIDIA/cuda-python/pull/2750/changes#diff-affd41ef2c043d926851943d7d93ae9626a0da4648c5a6d4567524620c9ef61f
https://github.com/NVIDIA/cuda-python/pull/2750/changes#diff-affd41ef2c043d926851943d7d93ae9626a0da4648c5a6d4567524620c9ef61f
https://github.com/NVIDIA/cuda-python/pull/2750/changes#diff-affd41ef2c043d926851943d7d93ae9626a0da4648c5a6d4567524620c9ef61f
https://github.com/NVIDIA/cuda-python/pull/2750/changes#diff-affd41ef2c043d926851943d7d93ae9626a0da4648c5a6d4567524620c9ef61f
https://github.com/NVIDIA/cuda-python/pull/2750/changes#diff-affd41ef2c043d926851943d7d93ae9626a0da4648c5a6d4567524620c9ef61f
https://github.com/NVIDIA/cuda-python/pull/2750/changes#diff-affd41ef2c043d926851943d7d93ae9626a0da4648c5a6d4567524620c9ef61f
https://github.com/NVIDIA/cuda-python/pull/2750/changes#diff-affd41ef2c043d926851943d7d93ae9626a0da4648c5a6d4567524620c9ef61f
https://github.com/NVIDIA/cuda-python/pull/2750/changes#diff-affd41ef2c043d926851943d7d93ae9626a0da4648c5a6d4567524620c9ef61f
https://github.com/NVIDIA/cuda-python/pull/2750/changes#diff-affd41ef2c043d926851943d7d93ae9626a0da4648c5a6d4567524620c9ef61f
https://github.com/NVIDIA/cuda-python/pull/2750/changes#diff-affd41ef2c043d926851943d7d93ae9626a0da4648c5a6d4567524620c9ef61f
Please reload this pagehttps://github.com/NVIDIA/cuda-python/pull/2750/changes
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