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rocm_jax/jaxlib
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Peter Hawkins 91ffb640a8 Use thread-safe initialization of LAPACK kernels. 
Use absl::call_once instead of a GIL-protected global initialization.

In passing, also remove an unused function.

PiperOrigin-RevId: 714892175
2025-01-13 02:51:38 -08:00
..
cpu
Use thread-safe initialization of LAPACK kernels.
2025-01-13 02:51:38 -08:00
cuda
Use thread-safe initialization of LAPACK kernels.
2025-01-13 02:51:38 -08:00
gpu
Use thread-safe initialization of LAPACK kernels.
2025-01-13 02:51:38 -08:00
mlir
Rename pybind_extension to nanobind_extension.
2025-01-06 11:53:44 -08:00
mosaic
[Mosaic TPU] Enable non-sublane-aligned bf16 2D load/stores for earlier TPU gens
2025-01-12 23:58:40 -08:00
rocm
Use thread-safe initialization of LAPACK kernels.
2025-01-13 02:51:38 -08:00
tools
[mosaic_gpu] Include Mosaic GPU dialect fiels into jaxlib
2024-12-23 13:46:25 +00:00
triton
Fix triton capi_objects target to depend on MLIR CAPIIRObjects bazel
2024-09-06 01:06:27 +00:00
absl_status_casters.h
Migrate JAX MLIR Python dialect extensions to nanobind.
2024-12-13 07:08:28 -08:00
BUILD
Add a unittest test extension that runs test cases in parallel using threads.
2025-01-08 09:11:47 -08:00
cpu_feature_guard.c
Added PyUnstable_Module_SetGIL to PyInit_cpu_feature_guard
2024-08-20 02:32:37 +02:00
cuda_plugin_extension.cc
Deduplicate some GPU plugin definition code.
2024-12-10 11:32:06 -08:00
ffi_helpers.h
Simplify logic in jaxlib FFI_ASSIGN_OR_RETURN macro, and fix gcc build.
2024-09-17 11:23:25 -07:00
gpu_common_utils.py
Improve the gpu lowering error message if users forget link the gpu library.
2023-09-11 16:14:18 -07:00
gpu_linalg.py
Remove forward compatibility checks from cholesky_update lowering.
2024-09-20 08:32:25 -07:00
gpu_plugin_extension.cc
Add a register_custom_type_id function to the GPU plugins.
2025-01-07 07:29:38 -08:00
gpu_plugin_extension.h
Deduplicate some GPU plugin definition code.
2024-12-10 11:32:06 -08:00
gpu_prng.py
Remove some dead code from gpu_prng.py
2024-10-29 09:29:56 -04:00
gpu_rnn.py
Remove support for CUDA 11.
2024-03-25 11:46:39 -07:00
gpu_solver.py
Activate FFI implementation of tridiagonal reduction on GPU.
2025-01-10 09:28:15 -08:00
gpu_sparse.py
[ROCm] Bring-up pjrt support
2024-06-17 16:49:22 +00:00
gpu_triton.py
[ROCm]: Add get_arch_details for triton kernel call
2024-08-12 06:16:27 +00:00
handle_pool.h
[GPU] Add missing stream synchronization to tridiagonal_solve gtsv2 call.
2023-05-08 15:37:04 -07:00
hlo_helpers.py
Run pyupgrade --py310-plus.
2024-06-26 16:10:18 -04:00
init.py
Change JAX's copyright attribution from "Google LLC" to "The JAX Authors.".
2022-09-22 12:27:19 -07:00
jax.bzl
Rename pybind_extension to nanobind_extension.
2025-01-06 11:53:44 -08:00
kernel_helpers.h
Migrate JAX MLIR Python dialect extensions to nanobind.
2024-12-13 07:08:28 -08:00
kernel_nanobind_helpers.h
Fix C++ registration of FFI handlers and consolidate gpu/linalg kernel implementation.
2024-07-10 12:09:12 -07:00
lapack.py
Activate Triangular Solve to XLA's FFI
2024-12-11 02:22:37 -08:00
pass_boilerplate.h
[mosaic] Migrated the serialization pass from codegen to pass_boilerplate.h
2024-12-12 14:19:36 -08:00
README.md
Update references to the GitHub url in JAX codebase to reflect move from google/jax to jax-ml/jax
2024-09-20 07:52:33 -07:00
rocm_plugin_extension.cc
Deduplicate some GPU plugin definition code.
2024-12-10 11:32:06 -08:00
setup.py
Increase the minimum SciPy version to 1.11.1.
2025-01-07 16:10:45 -08:00
symlink_files.bzl
Change JAX's copyright attribution from "Google LLC" to "The JAX Authors.".
2022-09-22 12:27:19 -07:00
utils.cc
Add a unittest test extension that runs test cases in parallel using threads.
2025-01-08 09:11:47 -08:00

README.md

jaxlib: support library for JAX

jaxlib is the support library for JAX. While JAX itself is a pure Python package, jaxlib contains the binary (C/C++) parts of the library, including Python bindings, the XLA compiler, the PJRT runtime, and a handful of handwritten kernels. For more information, including installation and build instructions, refer to main JAX README: https://github.com/jax-ml/jax/.