Peter Hawkins 0389d617c8 Add a unittest test extension that runs test cases in parallel using threads.
This change does not yet do the work necessary to make any tests pass with threading enabled, which will come in future changes.

This approach is broadly inspired by a6d205dd4c/testtools/testsuite.py (L113) and by unittest-ft.

We add a custom TestResult class that batches up any test result actions and applies them under a lock. We also add a custom TestSuite class that runs individual test cases in parallel using a thread-pool.

We need a reader-writer lock to implement a `@jtu.thread_hostile_test` decorator, which we do by adding bindings around absl::Mutex to jaxlib.

PiperOrigin-RevId: 713312937
2025-01-08 09:11:47 -08:00

302 lines
7.6 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:jax.bzl",
"nanobind_extension",
"py_library_providing_imports_info",
"pytype_library",
)
load("//jaxlib:symlink_files.bzl", "symlink_files")
licenses(["notice"])
package(
default_applicable_licenses = [],
default_visibility = ["//jax:internal"],
)
# This makes xla_extension module accessible from jax._src.lib.
genrule(
name = "xla_extension_py",
outs = ["xla_extension.py"],
cmd = "echo 'from xla.xla.python.xla_extension import *\n' > $@",
)
py_library_providing_imports_info(
name = "jaxlib",
srcs = [
"gpu_common_utils.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",
":version",
":xla_client",
":xla_extension_py",
],
data = [":ffi_headers"],
lib_rule = pytype_library,
deps = [
":cpu_feature_guard",
":utils",
"//jaxlib/cpu:_lapack",
"//jaxlib/mlir",
"//jaxlib/mlir:arithmetic_dialect",
"//jaxlib/mlir:builtin_dialect",
"//jaxlib/mlir:chlo_dialect",
"//jaxlib/mlir:func_dialect",
"//jaxlib/mlir:gpu_dialect",
"//jaxlib/mlir:ir",
"//jaxlib/mlir:llvm_dialect",
"//jaxlib/mlir:math_dialect",
"//jaxlib/mlir:memref_dialect",
"//jaxlib/mlir:mhlo_dialect",
"//jaxlib/mlir:nvgpu_dialect",
"//jaxlib/mlir:nvvm_dialect",
"//jaxlib/mlir:pass_manager",
"//jaxlib/mlir:scf_dialect",
"//jaxlib/mlir:sdy_dialect",
"//jaxlib/mlir:sparse_tensor_dialect",
"//jaxlib/mlir:stablehlo_dialect",
"//jaxlib/mlir:vector_dialect",
"//jaxlib/mosaic",
"//jaxlib/triton",
"@xla//xla/python:xla_extension",
],
)
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 = "ffi_headers",
srcs = ["@xla//xla/ffi/api:all_headers"],
dst = "include/xla/ffi/api",
flatten = True,
)
exports_files([
"README.md",
"setup.py",
])
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 = "ffi_helpers",
hdrs = ["ffi_helpers.h"],
features = ["-use_header_modules"],
deps = [
"@com_google_absl//absl/algorithm:container",
"@com_google_absl//absl/base:core_headers",
"@com_google_absl//absl/status",
"@com_google_absl//absl/status:statusor",
"@com_google_absl//absl/strings:str_format",
"@xla//xla/ffi/api:c_api",
"@xla//xla/ffi/api:ffi",
],
)
cc_library(
name = "kernel_nanobind_helpers",
hdrs = ["kernel_nanobind_helpers.h"],
copts = [
"-fexceptions",
"-fno-strict-aliasing",
],
features = ["-use_header_modules"],
deps = [
":kernel_helpers",
"@com_google_absl//absl/base",
"@nanobind",
"@xla//xla/ffi/api:c_api",
"@xla//xla/tsl/python/lib/core:numpy",
],
)
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 = "pass_boilerplate",
hdrs = ["pass_boilerplate.h"],
# compatible with libtpu
deps = [
"@llvm-project//mlir:IR",
"@llvm-project//mlir:Pass",
"@llvm-project//mlir:Support",
],
)
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.
nanobind_extension(
name = "cpu_feature_guard",
srcs = ["cpu_feature_guard.c"],
module_name = "cpu_feature_guard",
deps = [
"@xla//third_party/python_runtime:headers",
],
)
nanobind_extension(
name = "utils",
srcs = ["utils.cc"],
module_name = "utils",
deps = [
"@com_google_absl//absl/cleanup",
"@com_google_absl//absl/container:inlined_vector",
"@com_google_absl//absl/synchronization",
"@nanobind",
"@xla//third_party/python_runtime:headers",
],
)
cc_library(
name = "gpu_plugin_extension",
srcs = ["gpu_plugin_extension.cc"],
hdrs = ["gpu_plugin_extension.h"],
copts = [
"-fexceptions",
"-fno-strict-aliasing",
],
features = ["-use_header_modules"],
deps = [
":kernel_nanobind_helpers",
"@com_google_absl//absl/status",
"@com_google_absl//absl/status:statusor",
"@com_google_absl//absl/strings:str_format",
"@nanobind",
"@tsl//tsl/platform:statusor",
"@xla//xla:util",
"@xla//xla/ffi/api:c_api",
"@xla//xla/pjrt:status_casters",
"@xla//xla/pjrt/c:pjrt_c_api_ffi_extension_hdrs",
"@xla//xla/pjrt/c:pjrt_c_api_gpu_extension_hdrs",
"@xla//xla/pjrt/c:pjrt_c_api_hdrs",
"@xla//xla/pjrt/c:pjrt_c_api_helpers",
"@xla//xla/python:py_client_gpu",
"@xla//xla/tsl/python/lib/core:numpy",
],
)
nanobind_extension(
name = "cuda_plugin_extension",
srcs = ["cuda_plugin_extension.cc"],
module_name = "cuda_plugin_extension",
deps = [
":gpu_plugin_extension",
"@com_google_absl//absl/status",
"@com_google_absl//absl/strings",
"@local_config_cuda//cuda:cuda_headers",
"@nanobind",
"@xla//xla/pjrt:status_casters",
"@xla//xla/tsl/cuda:cublas",
"@xla//xla/tsl/cuda:cudart",
],
)
nanobind_extension(
name = "rocm_plugin_extension",
srcs = ["rocm_plugin_extension.cc"],
module_name = "rocm_plugin_extension",
deps = [
":gpu_plugin_extension",
"@com_google_absl//absl/log",
"@com_google_absl//absl/strings",
"@local_config_rocm//rocm:hip",
"@local_config_rocm//rocm:rocm_headers",
"@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,
)