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rocm_jax/jaxlib
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Peter Hawkins 64eae324ee Migrate JAX MLIR Python dialect extensions to nanobind. 
Now that https://github.com/llvm/llvm-project/pull/117922 has landed upstream, we can work towards removing our last uses of pybind11.

PiperOrigin-RevId: 705872751
2024-12-13 07:08:28 -08:00
..
cpu
Activate Triangular Solve to XLA's FFI
2024-12-11 02:22:37 -08:00
cuda
Add a GPU implementation of lax.linalg.eig.
2024-11-18 08:11:57 -08:00
gpu
Port symmetric tridiagonal reduction GPU kernel to FFI.
2024-12-09 12:41:23 -08:00
mlir
Migrate JAX MLIR Python dialect extensions to nanobind.
2024-12-13 07:08:28 -08:00
mosaic
[mosaic] Migrated the serialization pass from codegen to pass_boilerplate.h
2024-12-12 14:19:36 -08:00
rocm
Add a GPU implementation of lax.linalg.eig.
2024-11-18 08:11:57 -08:00
tools
Don't look for CUDA files when building the ROCm wheel
2024-12-06 17:23:15 +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
[mosaic] Migrated the serialization pass from codegen to pass_boilerplate.h
2024-12-12 14:19:36 -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
Remove cuda include from gpu plugin extension and BUILD
2024-12-11 11:55:51 -06:00
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
Add a GPU implementation of lax.linalg.eig.
2024-11-18 08:11:57 -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
Move tsl/platform/{build_config,build_config_root,rules_cc}.bzl to xla/tsl/platform
2024-11-26 15:08:58 -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
Mention python 3.13 in docs & package metadata
2024-11-20 08:23:19 -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
Switch jaxlib to use nanobind instead of pybind11.
2023-08-24 16:07:56 -07:00

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/.