Sergei Lebedev 7929cd8410 [pallas:triton] The lowering now uses PTX instead of Triton IR
This change improves the stability and backward compatibility of Pallas Triton
calls, because unlike PTX, the Triton dialect has no stability guarantees
and does change in practice.

See #25196.

A few notes

* Pallas Triton no longer delegates compilation to PTX to XLA:GPU. Instead,
  compilation is done via a new PjRt extension, which uses its own compilation
  pipeline mirrored after the one in the Triton Python bindings.
* The implementation of the old custom call used by Pallas Triton is
  deprecated and will be removed after 6 months as per
  [compatibility guarantees] [*]

[*]: https://jax.readthedocs.io/en/latest/export/export.html#compatibility-guarantees

PiperOrigin-RevId: 722773884
2025-02-03 13:21:40 -08:00

303 lines
7.7 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: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",
"@com_google_absl//absl/strings:string_view",
"@nanobind",
"@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/pjrt/c:pjrt_c_api_triton_extension_hdrs",
"@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,
)