rocm_jax/WORKSPACE
2019-10-08 09:38:39 -07:00

47 lines
1.7 KiB
Python

load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
http_archive(
name = "io_bazel_rules_closure",
sha256 = "e0a111000aeed2051f29fcc7a3f83be3ad8c6c93c186e64beb1ad313f0c7f9f9",
strip_prefix = "rules_closure-cf1e44edb908e9616030cc83d085989b8e6cd6df",
urls = [
"http://mirror.tensorflow.org/github.com/bazelbuild/rules_closure/archive/cf1e44edb908e9616030cc83d085989b8e6cd6df.tar.gz",
"https://github.com/bazelbuild/rules_closure/archive/cf1e44edb908e9616030cc83d085989b8e6cd6df.tar.gz", # 2019-04-04
],
)
http_archive(
name = "bazel_skylib",
sha256 = "2ef429f5d7ce7111263289644d233707dba35e39696377ebab8b0bc701f7818e",
urls = ["https://github.com/bazelbuild/bazel-skylib/releases/download/0.8.0/bazel-skylib.0.8.0.tar.gz"],
) # https://github.com/bazelbuild/bazel-skylib/releases
# To update TensorFlow to a new revision,
# a) update URL and strip_prefix to the new git commit hash
# b) get the sha256 hash of the commit by running:
# curl -L https://github.com/tensorflow/tensorflow/archive/<git hash>.tar.gz | sha256sum
# and update the sha256 with the result.
http_archive(
name = "org_tensorflow",
sha256 = "0b32b9238d6c0a3e51ccef6898a1f03d2798556911070f9783d4c5bf2841c7b3",
strip_prefix = "tensorflow-0477de84487e970554cc974e42b55ba4e597afa5",
urls = [
"https://github.com/tensorflow/tensorflow/archive/0477de84487e970554cc974e42b55ba4e597afa5.tar.gz",
],
)
# For development, one can use a local TF repository instead.
# local_repository(
# name = "org_tensorflow",
# path = "tensorflow",
# )
load("@org_tensorflow//tensorflow:workspace.bzl", "tf_workspace", "tf_bind")
tf_workspace(
path_prefix = "",
tf_repo_name = "org_tensorflow",
)
tf_bind()