mirror of
https://github.com/ROCm/jax.git
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618754d829
There were two helper functions for implementing FFI calls that were included directly alongside jaxlib's CPU kernels that will be useful for the GPU kernels as well. This moves those functions into ffi_helpers so that they are accessible from there too. PiperOrigin-RevId: 658002501
278 lines
7.2 KiB
Python
278 lines
7.2 KiB
Python
# Copyright 2018 The JAX Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# https://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# JAX is Autograd and XLA
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load("//jaxlib:symlink_files.bzl", "symlink_files")
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load(
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"//jaxlib:jax.bzl",
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"py_library_providing_imports_info",
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"pybind_extension",
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"pytype_library",
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)
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licenses(["notice"])
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package(
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default_applicable_licenses = [],
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default_visibility = ["//:__subpackages__"],
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)
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# This makes xla_extension module accessible from jax._src.lib.
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genrule(
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name = "xla_extension_py",
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outs = ["xla_extension.py"],
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cmd = "echo 'from xla.xla.python.xla_extension import *\n' > $@",
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)
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py_library_providing_imports_info(
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name = "jaxlib",
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srcs = [
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"gpu_common_utils.py",
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"gpu_linalg.py",
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"gpu_prng.py",
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"gpu_rnn.py",
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"gpu_solver.py",
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"gpu_sparse.py",
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"gpu_triton.py",
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"hlo_helpers.py",
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"init.py",
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"lapack.py",
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":version",
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":xla_client",
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":xla_extension_py",
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],
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data = [":ffi_headers"],
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lib_rule = pytype_library,
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deps = [
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":cpu_feature_guard",
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":utils",
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"//jaxlib/cpu:_lapack",
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"//jaxlib/mlir",
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"//jaxlib/mlir:arithmetic_dialect",
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"//jaxlib/mlir:builtin_dialect",
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"//jaxlib/mlir:chlo_dialect",
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"//jaxlib/mlir:func_dialect",
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"//jaxlib/mlir:gpu_dialect",
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"//jaxlib/mlir:ir",
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"//jaxlib/mlir:llvm_dialect",
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"//jaxlib/mlir:math_dialect",
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"//jaxlib/mlir:memref_dialect",
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"//jaxlib/mlir:mhlo_dialect",
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"//jaxlib/mlir:nvgpu_dialect",
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"//jaxlib/mlir:nvvm_dialect",
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"//jaxlib/mlir:pass_manager",
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"//jaxlib/mlir:scf_dialect",
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"//jaxlib/mlir:sdy_dialect",
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"//jaxlib/mlir:sparse_tensor_dialect",
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"//jaxlib/mlir:stablehlo_dialect",
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"//jaxlib/mlir:vector_dialect",
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"//jaxlib/mosaic",
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"//jaxlib/triton",
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"@xla//xla/python:xla_extension",
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],
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)
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symlink_files(
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name = "version",
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srcs = ["//jax:version.py"],
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dst = ".",
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flatten = True,
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)
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symlink_files(
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name = "xla_client",
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srcs = ["@xla//xla/python:xla_client"],
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dst = ".",
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flatten = True,
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)
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symlink_files(
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name = "ffi_headers",
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srcs = ["@xla//xla/ffi/api:all_headers"],
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dst = "include/xla/ffi/api",
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flatten = True,
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)
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exports_files([
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"README.md",
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"setup.py",
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])
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cc_library(
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name = "absl_status_casters",
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hdrs = ["absl_status_casters.h"],
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copts = [
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"-fexceptions",
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"-fno-strict-aliasing",
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],
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features = ["-use_header_modules"],
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deps = [
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"@com_google_absl//absl/status",
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"@com_google_absl//absl/status:statusor",
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],
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)
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cc_library(
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name = "ffi_helpers",
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hdrs = ["ffi_helpers.h"],
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features = ["-use_header_modules"],
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deps = [
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"@xla//xla/ffi/api:c_api",
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"@xla//xla/ffi/api:ffi",
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"@com_google_absl//absl/algorithm:container",
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"@com_google_absl//absl/base:core_headers",
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"@com_google_absl//absl/status",
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"@com_google_absl//absl/status:statusor",
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"@com_google_absl//absl/strings:str_format",
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],
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)
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cc_library(
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name = "kernel_nanobind_helpers",
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hdrs = ["kernel_nanobind_helpers.h"],
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copts = [
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"-fexceptions",
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"-fno-strict-aliasing",
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],
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features = ["-use_header_modules"],
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deps = [
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":kernel_helpers",
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"@xla//xla/ffi/api:c_api",
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"@xla//xla/tsl/python/lib/core:numpy",
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"@com_google_absl//absl/base",
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"@nanobind",
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],
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)
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cc_library(
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name = "kernel_helpers",
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hdrs = ["kernel_helpers.h"],
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copts = [
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"-fexceptions",
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"-fno-strict-aliasing",
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],
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features = ["-use_header_modules"],
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deps = [
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"@com_google_absl//absl/base",
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"@com_google_absl//absl/status:statusor",
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],
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)
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cc_library(
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name = "handle_pool",
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hdrs = ["handle_pool.h"],
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copts = [
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"-fexceptions",
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"-fno-strict-aliasing",
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],
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features = ["-use_header_modules"],
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deps = [
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"@com_google_absl//absl/base:core_headers",
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"@com_google_absl//absl/status:statusor",
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"@com_google_absl//absl/synchronization",
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],
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)
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# This isn't a CPU kernel. This exists to catch cases where jaxlib is built for the wrong
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# target architecture.
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pybind_extension(
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name = "cpu_feature_guard",
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srcs = ["cpu_feature_guard.c"],
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module_name = "cpu_feature_guard",
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deps = [
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"@xla//third_party/python_runtime:headers",
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],
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)
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pybind_extension(
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name = "utils",
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srcs = ["utils.cc"],
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module_name = "utils",
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deps = [
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"@xla//third_party/python_runtime:headers",
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"@com_google_absl//absl/cleanup",
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"@com_google_absl//absl/container:inlined_vector",
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"@nanobind",
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],
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)
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pybind_extension(
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name = "cuda_plugin_extension",
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srcs = ["cuda_plugin_extension.cc"],
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module_name = "cuda_plugin_extension",
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deps = [
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"@com_google_absl//absl/status",
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"@nanobind",
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"//jaxlib:kernel_nanobind_helpers",
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"@xla//third_party/python_runtime:headers",
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"@local_config_cuda//cuda:cuda_headers",
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"@xla//xla:util",
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"@xla//xla/ffi/api:c_api",
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"@xla//xla/pjrt:status_casters",
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"@xla//xla/pjrt/c:pjrt_c_api_gpu_extension_hdrs",
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"@xla//xla/pjrt/c:pjrt_c_api_hdrs",
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"@xla//xla/pjrt/c:pjrt_c_api_helpers",
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# TODO(jieying): move to jaxlib after py_client_gpu is separated from py_client
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"@xla//xla/python:py_client_gpu",
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"@xla//xla/tsl/cuda:cublas",
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"@xla//xla/tsl/cuda:cudart",
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"@xla//xla/tsl/python/lib/core:numpy",
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],
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)
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pybind_extension(
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name = "rocm_plugin_extension",
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srcs = ["rocm_plugin_extension.cc"],
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module_name = "rocm_plugin_extension",
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deps = [
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"//jaxlib:kernel_nanobind_helpers",
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"@xla//third_party/python_runtime:headers",
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"@xla//xla:status",
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"@xla//xla:util",
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"@xla//xla/ffi/api:c_api",
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"@xla//xla/pjrt:status_casters",
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"@xla//xla/pjrt/c:pjrt_c_api_gpu_extension_hdrs",
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"@xla//xla/pjrt/c:pjrt_c_api_hdrs",
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"@xla//xla/pjrt/c:pjrt_c_api_helpers",
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"@xla//xla/python:py_client_gpu",
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"@xla//xla/tsl/python/lib/core:numpy",
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"@com_google_absl//absl/status",
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"@local_config_rocm//rocm:rocm_headers",
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"@nanobind",
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],
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)
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# CPU kernels
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# TODO(phawkins): Remove this forwarding target.
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cc_library(
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name = "cpu_kernels",
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visibility = ["//visibility:public"],
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deps = [
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"//jaxlib/cpu:cpu_kernels",
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],
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alwayslink = 1,
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)
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# TODO(phawkins): Remove this forwarding target.
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cc_library(
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name = "gpu_kernels",
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visibility = ["//visibility:public"],
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deps = [
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"//jaxlib/cuda:cuda_gpu_kernels",
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],
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alwayslink = 1,
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)
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