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9e3cd6d616
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bump runtimes/* code to Zig 0.15.1, restore PyTorch loader using std.fs.File, update CI zig fmt, remove stdx.io, note remaining issues with Neuron and CUDA debug builds
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2025-08-07 15:09:27 +00:00 |
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1cf26756a1
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workspace: run buildifier, drop rules_uv, refactor tools/hf dependencies
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2025-07-16 10:01:41 +00:00 |
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2d321d232d
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runtimes/cuda: sandbox CUDA dependencies by removing them from the leaf binary, sandboxing the dependency graph, marking dlopen direct dependencies as NEEDED, setting RPATH to the sandbox, loading the PJRT plugin from the sandbox, and enabling weak CUDA symbols without direct linking.
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2025-03-26 11:18:29 +00:00 |
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f27a524f31
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Update rules_zig: add zig_srcs target, fix source handling bug, clean up BUILD files, adjust async/coro.zig tests, and disable nemo and yaml model loaders.
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2025-03-13 12:27:21 +00:00 |
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8a25b1eb74
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Revert CUDA PJRT plugin version to 0.4.38 to address performance regression on XLA master.
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2024-03-05 17:04:42 +00:00 |
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7e6103d876
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Upgrade XLA to version 20250122.0-cc075be, switch to nvptx compiler and nvlink with nvjitlink support, add warning for CUDA path in LD_LIBRARY_PATH, and revert the previous CUDA sandbox fix.
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2024-02-06 09:31:48 +00:00 |
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a7b7ae0180
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Fix async hangs by reworking the libxev epoll backend and using callBlocking for PJRT plugin loading, improving performance across async and runtime modules.
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2024-01-16 14:13:45 +00:00 |
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434cee3a6c
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Fix CUDA and ROCm sandbox discovery, update epoll libxev patch to prevent high CPU usage, enable XLA GPU latency‑hiding scheduler, and upgrade cuDNN to 9.6.0.
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2024-01-15 09:41:42 +00:00 |
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0d5389ceda
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Update CUDA runtime sandboxing and dynamic symbol renaming, switch to pre‑built jax‑cuda‑pjrt plugin, and bump CUDA to 12.6.2 and cuDNN to 9.5.1.
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2023-09-14 13:28:25 +00:00 |
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54e7eb30b4
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Introduce a thin abstraction layer between ZML and PJRT to manage plugin loading decisions, enable compile‑time detection of linked runtimes, and handle cases such as libtpu blocking metadata access.
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2023-05-15 09:36:41 +00:00 |
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