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# buildifier: disable=load-on-top
workspace(name = "litert")
# buildifier: disable=load-on-top
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
http_archive(
name = "rules_shell",
sha256 = "bc61ef94facc78e20a645726f64756e5e285a045037c7a61f65af2941f4c25e1",
strip_prefix = "rules_shell-0.4.1",
url = "https://github.com/bazelbuild/rules_shell/releases/download/v0.4.1/rules_shell-v0.4.1.tar.gz",
)
load("@rules_shell//shell:repositories.bzl", "rules_shell_dependencies", "rules_shell_toolchains")
rules_shell_dependencies()
rules_shell_toolchains()
http_archive(
name = "rules_platform",
sha256 = "0aadd1bd350091aa1f9b6f2fbcac8cd98201476289454e475b28801ecf85d3fd",
urls = [
"https://github.com/bazelbuild/rules_platform/releases/download/0.1.0/rules_platform-0.1.0.tar.gz",
],
)
# Download coremltools of the same version of tensorflow, but with a custom patchcmd until
# tensorflow is updated to do the same patchcmd.
http_archive(
name = "coremltools",
build_file = "@//third_party/coremltools:coremltools.BUILD",
patch_cmds = [
# Append "mlmodel/format/" to the import path of all proto files.
"sed -i -e 's|import public \"|import public \"mlmodel/format/|g' mlmodel/format/*.proto",
],
sha256 = "37d4d141718c70102f763363a8b018191882a179f4ce5291168d066a84d01c9d",
strip_prefix = "coremltools-8.0",
url = "https://github.com/apple/coremltools/archive/8.0.tar.gz",
)
# Load the custom repository rule to select either a local TensorFlow source or a remote http_archive.
load("//litert:tensorflow_source_rules.bzl", "tensorflow_source_repo")
tensorflow_source_repo(
name = "org_tensorflow",
sha256 = "6e78f0d1503b3e70913512cb7c5fdafd1b69dfd45563924ee6ee9f768c8c283a",
strip_prefix = "tensorflow-777924f5575e7e6e22e4f47be211c2a94f59c4f5",
urls = ["https://github.com/tensorflow/tensorflow/archive/777924f5575e7e6e22e4f47be211c2a94f59c4f5.tar.gz"],
)
# Initialize the TensorFlow repository and all dependencies.
#
# The cascade of load() statements and tf_workspace?() calls works around the
# restriction that load() statements need to be at the top of .bzl files.
# E.g. we can not retrieve a new repository with http_archive and then load()
# a macro from that repository in the same file.
load("@org_tensorflow//tensorflow:workspace3.bzl", "tf_workspace3")
tf_workspace3()
# Initialize hermetic Python
load("@xla//third_party/py:python_init_rules.bzl", "python_init_rules")
python_init_rules()
load("@xla//third_party/py:python_init_repositories.bzl", "python_init_repositories")
python_init_repositories(
default_python_version = "system",
local_wheel_dist_folder = "dist",
local_wheel_inclusion_list = [
"tensorflow*",
"tf_nightly*",
],
local_wheel_workspaces = ["@org_tensorflow//:WORKSPACE"],
requirements = {
"3.10": "@org_tensorflow//:requirements_lock_3_10.txt",
"3.11": "@org_tensorflow//:requirements_lock_3_11.txt",
"3.12": "@org_tensorflow//:requirements_lock_3_12.txt",
"3.13": "@org_tensorflow//:requirements_lock_3_13.txt",
},
)
load("@xla//third_party/py:python_init_toolchains.bzl", "python_init_toolchains")
python_init_toolchains()
load("@xla//third_party/py:python_init_pip.bzl", "python_init_pip")
python_init_pip()
load("@pypi//:requirements.bzl", "install_deps")
install_deps()
# End hermetic Python initialization
load("@org_tensorflow//tensorflow:workspace2.bzl", "tf_workspace2")
tf_workspace2()
load("@org_tensorflow//tensorflow:workspace1.bzl", "tf_workspace1")
tf_workspace1()
load("@org_tensorflow//tensorflow:workspace0.bzl", "tf_workspace0")
tf_workspace0()
load(
"@xla//third_party/py:python_wheel.bzl",
"python_wheel_version_suffix_repository",
)
python_wheel_version_suffix_repository(name = "tf_wheel_version_suffix")
# Toolchains for ML projects hermetic builds.
# Details: https://github.com/google-ml-infra/rules_ml_toolchain
http_archive(
name = "rules_ml_toolchain",
sha256 = "9dbee8f24cc1b430bf9c2a6661ab70cbca89979322ddc7742305a05ff637ab6b",
strip_prefix = "rules_ml_toolchain-545c80f1026d526ea9c7aaa410bf0b52c9a82e74",
urls = [
"https://github.com/google-ml-infra/rules_ml_toolchain/archive/545c80f1026d526ea9c7aaa410bf0b52c9a82e74.tar.gz",
],
)
load(
"@rules_ml_toolchain//cc/deps:cc_toolchain_deps.bzl",
"cc_toolchain_deps",
)
cc_toolchain_deps()
register_toolchains("@rules_ml_toolchain//cc:linux_x86_64_linux_x86_64")
load(
"@rules_ml_toolchain//gpu/cuda:cuda_json_init_repository.bzl",
"cuda_json_init_repository",
)
cuda_json_init_repository()
load(
"@cuda_redist_json//:distributions.bzl",
"CUDA_REDISTRIBUTIONS",
"CUDNN_REDISTRIBUTIONS",
)
load(
"@rules_ml_toolchain//gpu/cuda:cuda_redist_init_repositories.bzl",
"cuda_redist_init_repositories",
"cudnn_redist_init_repository",
)
cuda_redist_init_repositories(
cuda_redistributions = CUDA_REDISTRIBUTIONS,
)
cudnn_redist_init_repository(
cudnn_redistributions = CUDNN_REDISTRIBUTIONS,
)
load(
"@rules_ml_toolchain//gpu/cuda:cuda_configure.bzl",
"cuda_configure",
)
cuda_configure(name = "local_config_cuda")
load(
"@rules_ml_toolchain//gpu/nccl:nccl_redist_init_repository.bzl",
"nccl_redist_init_repository",
)
nccl_redist_init_repository()
load(
"@rules_ml_toolchain//gpu/nccl:nccl_configure.bzl",
"nccl_configure",
)
nccl_configure(name = "local_config_nccl")
load("//third_party/tqdm:workspace.bzl", tqdm = "repo")
tqdm()
load("//third_party/dawn:workspace.bzl", dawn = "repo")
dawn()
load("//third_party/lark:workspace.bzl", lark = "repo")
lark()
load("//third_party/xdsl:workspace.bzl", xdsl = "repo")
xdsl()
load("@rules_jvm_external//:defs.bzl", "maven_install")
maven_install(
name = "litert_maven",
artifacts = [
"androidx.lifecycle:lifecycle-common:2.8.7",
"com.google.android.play:ai-delivery:0.1.1-alpha01",
"com.google.guava:guava:33.4.6-android",
"org.jetbrains.kotlinx:kotlinx-coroutines-android:1.10.1",
"org.jetbrains.kotlinx:kotlinx-coroutines-guava:1.10.1",
"org.jetbrains.kotlinx:kotlinx-coroutines-play-services:1.10.1",
],
repositories = [
"https://jcenter.bintray.com",
"https://maven.google.com",
"https://dl.google.com/dl/android/maven2",
"https://repo1.maven.org/maven2",
],
version_conflict_policy = "pinned",
)
# Kotlin rules
http_archive(
name = "rules_kotlin",
sha256 = "e1448a56b2462407b2688dea86df5c375b36a0991bd478c2ddd94c97168125e2",
url = "https://github.com/bazelbuild/rules_kotlin/releases/download/v2.1.3/rules_kotlin-v2.1.3.tar.gz",
)
# Sentencepiece
http_archive(
name = "sentencepiece",
build_file = "@//:BUILD.sentencepiece",
patch_cmds = [
# Empty config.h seems enough.
"touch config.h",
# Replace third_party/absl/ with absl/ in *.h and *.cc files.
"sed -i -e 's|#include \"third_party/absl/|#include \"absl/|g' *.h *.cc",
# Replace third_party/darts_clone/ with include/ in *.h and *.cc files.
"sed -i -e 's|#include \"third_party/darts_clone/|#include \"include/|g' *.h *.cc",
],
patches = ["@//:PATCH.sentencepiece"],
sha256 = "9970f0a0afee1648890293321665e5b2efa04eaec9f1671fcf8048f456f5bb86",
strip_prefix = "sentencepiece-0.2.0/src",
url = "https://github.com/google/sentencepiece/archive/refs/tags/v0.2.0.tar.gz",
)
# Darts Clone
http_archive(
name = "darts_clone",
build_file = "@//:BUILD.darts_clone",
sha256 = "4a562824ec2fbb0ef7bd0058d9f73300173d20757b33bb69baa7e50349f65820",
strip_prefix = "darts-clone-e40ce4627526985a7767444b6ed6893ab6ff8983",
url = "https://github.com/s-yata/darts-clone/archive/e40ce4627526985a7767444b6ed6893ab6ff8983.tar.gz",
)
load("@rules_kotlin//kotlin:repositories.bzl", "kotlin_repositories")
kotlin_repositories() # if you want the default. Otherwise see custom kotlinc distribution below
load("@rules_kotlin//kotlin:core.bzl", "kt_register_toolchains")
kt_register_toolchains() # to use the default toolchain, otherwise see toolchains below
load("//third_party/stblib:workspace.bzl", stblib = "repo")
stblib()
# TEST DATA ########################################################################################
load("//third_party/models:workspace.bzl", "models")
models()
# VENDOR SDKS ######################################################################################
# QUALCOMM ---------------------------------------------------------------------------------------
# The actual macro call will be set during configure for now.
load("//third_party/qairt:workspace.bzl", "qairt")
qairt()
# MEDIATEK ---------------------------------------------------------------------------------------
# Currently only works with local sdk
load("//third_party/neuro_pilot:workspace.bzl", "neuro_pilot")
neuro_pilot()
# GOOGLE TENSOR ----------------------------------------------------------------------------------
load("//third_party/google_tensor:workspace.bzl", "google_tensor")
google_tensor()
# LiteRT GPU ----------------------------------------------------------------------------------
load("//third_party/litert_gpu:workspace.bzl", "litert_gpu")
litert_gpu()
# LiteRT Prebuilts ---------------------------------------------------------------------------------
load("//third_party/litert_prebuilts:workspace.bzl", "litert_prebuilts")
litert_prebuilts()
# INTEL OPENVINO ---------------------------------------------------------------------------------
load("//third_party/intel_openvino:openvino.bzl", "openvino_configure")
openvino_configure()