Peter Hawkins 70b7d50181 Switch jaxlib to use nanobind instead of pybind11.
nanobind has a number of advantages (https://nanobind.readthedocs.io/en/latest/why.html), notably speed of compilation and dispatch, but the main reason to do this for these bindings is because nanobind can target the Python Stable ABI starting with Python 3.12. This means that we will not need to ship per-Python version CUDA plugins starting with Python 3.12.

PiperOrigin-RevId: 559898790
2023-08-24 16:07:56 -07:00

206 lines
4.7 KiB
Python

# Copyright 2018 The JAX Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# JAX is Autograd and XLA
load("//jaxlib:symlink_files.bzl", "symlink_files")
load(
"//jaxlib:jax.bzl",
"if_windows",
"py_library_providing_imports_info",
"pybind_extension",
"pytype_library",
)
licenses(["notice"])
package(
default_applicable_licenses = [],
default_visibility = ["//:__subpackages__"],
)
py_library_providing_imports_info(
name = "jaxlib",
srcs = [
"ducc_fft.py",
"gpu_linalg.py",
"gpu_prng.py",
"gpu_rnn.py",
"gpu_solver.py",
"gpu_sparse.py",
"gpu_triton.py",
"hlo_helpers.py",
"init.py",
"lapack.py",
"tpu_mosaic.py",
":version",
":xla_client",
],
data = [":xla_extension"],
lib_rule = pytype_library,
deps = [
":cpu_feature_guard",
":utils",
"//jaxlib/cpu:_ducc_fft",
"//jaxlib/cpu:_lapack",
"//jaxlib/mlir",
"//jaxlib/mlir:builtin_dialect",
"//jaxlib/mlir:chlo_dialect",
"//jaxlib/mlir:func_dialect",
"//jaxlib/mlir:ir",
"//jaxlib/mlir:memref_dialect",
"//jaxlib/mlir:mhlo_dialect",
"//jaxlib/mlir:ml_program_dialect",
"//jaxlib/mlir:pass_manager",
"//jaxlib/mlir:scf_dialect",
"//jaxlib/mlir:sparse_tensor_dialect",
"//jaxlib/mlir:stablehlo_dialect",
"//jaxlib/mosaic",
],
)
symlink_files(
name = "version",
srcs = ["//jax:version.py"],
dst = ".",
flatten = True,
)
symlink_files(
name = "xla_client",
srcs = ["@xla//xla/python:xla_client"],
dst = ".",
flatten = True,
)
symlink_files(
name = "xla_extension",
srcs = if_windows(
["@xla//xla/python:xla_extension.pyd"],
["@xla//xla/python:xla_extension.so"],
),
dst = ".",
flatten = True,
)
exports_files([
"README.md",
"setup.py",
"setup.cfg",
])
cc_library(
name = "absl_status_casters",
hdrs = ["absl_status_casters.h"],
copts = [
"-fexceptions",
"-fno-strict-aliasing",
],
features = ["-use_header_modules"],
deps = [
"@com_google_absl//absl/status",
"@com_google_absl//absl/status:statusor",
],
)
cc_library(
name = "kernel_nanobind_helpers",
hdrs = ["kernel_nanobind_helpers.h"],
copts = [
"-fexceptions",
"-fno-strict-aliasing",
],
features = ["-use_header_modules"],
deps = [
":kernel_helpers",
"@tsl//tsl/python/lib/core:numpy",
"@com_google_absl//absl/base",
"@nanobind",
],
)
cc_library(
name = "kernel_helpers",
hdrs = ["kernel_helpers.h"],
copts = [
"-fexceptions",
"-fno-strict-aliasing",
],
features = ["-use_header_modules"],
deps = [
"@com_google_absl//absl/base",
"@com_google_absl//absl/status:statusor",
],
)
cc_library(
name = "handle_pool",
hdrs = ["handle_pool.h"],
copts = [
"-fexceptions",
"-fno-strict-aliasing",
],
features = ["-use_header_modules"],
deps = [
"@com_google_absl//absl/base:core_headers",
"@com_google_absl//absl/status:statusor",
"@com_google_absl//absl/synchronization",
],
)
# This isn't a CPU kernel. This exists to catch cases where jaxlib is built for the wrong
# target architecture.
pybind_extension(
name = "cpu_feature_guard",
srcs = ["cpu_feature_guard.c"],
module_name = "cpu_feature_guard",
deps = [
"@xla//third_party/python_runtime:headers",
],
)
pybind_extension(
name = "utils",
srcs = ["utils.cc"],
module_name = "utils",
deps = [
"@xla//third_party/python_runtime:headers",
"@com_google_absl//absl/cleanup",
"@com_google_absl//absl/container:inlined_vector",
"@nanobind",
],
)
# CPU kernels
# TODO(phawkins): Remove this forwarding target.
cc_library(
name = "cpu_kernels",
visibility = ["//visibility:public"],
deps = [
"//jaxlib/cpu:cpu_kernels",
],
alwayslink = 1,
)
# TODO(phawkins): Remove this forwarding target.
cc_library(
name = "gpu_kernels",
visibility = ["//visibility:public"],
deps = [
"//jaxlib/cuda:cuda_gpu_kernels",
],
alwayslink = 1,
)