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WORKSPACE
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WORKSPACE
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# The workspace name appears at the top of the runfiles tree,
# and in paths to tests, so to keep python happy it is best
# if it is unique.
workspace(name = "com_google_deepvariant")
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
# Note: absl_py and com_google_absl (the Python and C++ abseil libraries) are
# provided by TensorFlow.
# CCTZ (Time-zone framework).
# TODO: transitive WORKSPACE dependency resolution doesn't
# work in bazel, so we need to include this to enable nucleus's use of
# //absl/{time,synchronization}
http_archive(
name = "com_googlesource_code_cctz",
strip_prefix = "cctz-master",
urls = ["https://github.com/google/cctz/archive/master.zip"],
)
# This is the 1.13 release of htslib.
# https://github.com/samtools/htslib/archive/1.13.zip doesn't work because
# it does not have files like htscodecs/*
http_archive(
name = "htslib",
build_file = "//:third_party/htslib.BUILD",
sha256 = "f2407df9f97f0bb6b07656579e41a1ca5100464067b6b21bf962a2ea4b0efd65",
strip_prefix = "htslib-1.13",
urls = [
"https://github.com/samtools/htslib/releases/download/1.13/htslib-1.13.tar.bz2",
],
)
http_archive(
name = "libssw",
build_file = "//:third_party/libssw.BUILD",
sha256 = "b294c0cb6f0f3d578db11b4112a88b20583b9d4190b0a9cf04d83bb6a8704d9a",
# Note: HHBlits requires a patch (internal) in ssw_align to work.
strip_prefix = "Complete-Striped-Smith-Waterman-Library-1.2.5",
urls = [
"https://github.com/mengyao/Complete-Striped-Smith-Waterman-Library/archive/v1.2.5.tar.gz",
],
)
# Import tensorflow. Note path.
local_repository(
name = "org_tensorflow",
path = "../tensorflow",
)
# Required boilerplate for tf_workspace().
# This is copied from https://github.com/tensorflow/tensorflow/blob/v2.3.0/WORKSPACE.
http_archive(
name = "io_bazel_rules_closure",
sha256 = "5b00383d08dd71f28503736db0500b6fb4dda47489ff5fc6bed42557c07c6ba9",
strip_prefix = "rules_closure-308b05b2419edb5c8ee0471b67a40403df940149",
urls = [
"https://storage.googleapis.com/mirror.tensorflow.org/github.com/bazelbuild/rules_closure/archive/308b05b2419edb5c8ee0471b67a40403df940149.tar.gz",
"https://github.com/bazelbuild/rules_closure/archive/308b05b2419edb5c8ee0471b67a40403df940149.tar.gz", # 2019-06-13
],
)
# This needs to be in sync with the version of protobuf used by TensorFlow,
# which is currently defined in @tensorflow/tensorflow/workspace.bzl.
# We supply our own BUILD file, though, so we can prevent ODR violations by
# putting all of Nucleus's C++ binary dependencies into a single library.
# That BUILD file must be kept in sync with the version of protobuf used.
http_archive(
name = "com_google_protobuf",
build_file = "//:third_party/protobuf.BUILD",
sha256 = "cfcba2df10feec52a84208693937c17a4b5df7775e1635c1e3baffc487b24c9b",
# This protobuf release is based on protobuf 3.9.2.
strip_prefix = "protobuf-3.9.2",
urls = [
"https://storage.googleapis.com/mirror.tensorflow.org/github.com/protocolbuffers/protobuf/archive/v3.9.2.zip",
"https://github.com/protocolbuffers/protobuf/archive/v3.9.2.zip",
],
)
http_archive(
name = "com_google_glog",
sha256 = "1ee310e5d0a19b9d584a855000434bb724aa744745d5b8ab1855c85bff8a8e21",
strip_prefix = "glog-028d37889a1e80e8a07da1b8945ac706259e5fd8",
urls = [
"https://mirror.bazel.build/github.com/google/glog/archive/028d37889a1e80e8a07da1b8945ac706259e5fd8.tar.gz",
"https://github.com/google/glog/archive/028d37889a1e80e8a07da1b8945ac706259e5fd8.tar.gz",
],
)
# bazel_skylib is now a required dependency of protobuf_archive.
http_archive(
name = "bazel_skylib",
sha256 = "74d544d96f4a5bb630d465ca8bbcfe231e3594e5aae57e1edbf17a6eb3ca2506",
urls = [
"https://mirror.bazel.build/github.com/bazelbuild/bazel-skylib/releases/download/1.3.0/bazel-skylib-1.3.0.tar.gz",
"https://github.com/bazelbuild/bazel-skylib/releases/download/1.3.0/bazel-skylib-1.3.0.tar.gz",
],
)
# Import all of the tensorflow dependencies.
# Copied from tensorflow/WORKSPACE. Updated in v2.5.0:
load("@org_tensorflow//tensorflow:workspace3.bzl", "tf_workspace3")
tf_workspace3()
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()
new_local_repository(
name = "clif",
build_file = "third_party/clif.BUILD",
path = "/usr/local",
)