WORKSPACE

# Copyright 2024 The AI Edge Model Explorer 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
#
#     http://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.
# ==============================================================================

# buildifier: disable=load-on-top

workspace(
    name = "model_explorer_converter",
)

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()

# TensorFlow
# To update TensorFlow to a new revision,
# a) update TENSORFLOW_COMMIT to the new git commit hash
# b) get the sha256 hash of the commit by running:
#    curl -L https://github.com/tensorflow/tensorflow/archive/<COMMIT_HASH>.tar.gz | sha256sum
#    and update TENSORFLOW_SHA256 with the result.
TENSORFLOW_COMMIT = "ec7c1948718638d4e63a68ce511c8425d930b7d9"

TENSORFLOW_SHA256 = "f67de8c5db765f11ffb7ef28bac151398e46f76c74b3d5c156bc894ec54b0bfb"

http_archive(
    name = "org_tensorflow",
    sha256 = TENSORFLOW_SHA256,
    strip_prefix = "tensorflow-" + TENSORFLOW_COMMIT,
    urls = ["https://github.com/tensorflow/tensorflow/archive/" + TENSORFLOW_COMMIT + ".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 ML Toolchains
# 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()

# Initialize hermetic Python
load("@local_xla//third_party/py:python_init_rules.bzl", "python_init_rules")

python_init_rules()

load("@local_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 = {
        "3.9": "@org_tensorflow//:requirements_lock_3_9.txt",
        "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("@local_xla//third_party/py:python_init_toolchains.bzl", "python_init_toolchains")

python_init_toolchains()

load("@local_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(
    "@local_xla//third_party/py:python_wheel.bzl",
    "python_wheel_version_suffix_repository",
)

python_wheel_version_suffix_repository(name = "tf_wheel_version_suffix")

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")