What Do I Do If "An error occurred during the fetch of repository 'io_bazel_rules_docker'" Is Displayed When Bazel Is Used?

Symptom

The message "ERROR: An error occurred during the fetch of repository 'io_bazel_rules_docker'" is displayed when you run the command bazel build --config=monolithic //tensorflow/compiler/aot:xlacompilebazel build for compilation. After making sure your server is working normally over the Internet and perform compilation again, you still get the following message displayed.

ERROR: An error occurred during the fetch of repository 'io_bazel_rules_docker':
   java.io.IOException: Error downloading [https://github.com/bazelbuild/rules_docker/releases/download/v0.14.3/rules_docker-v0.14.3.tar.gz] to /home/test/.cache/bazel/_bazel_test/abd37aaac8a380ca5a3f13938322fcb2/external/io_bazel_rules_docker/rules_docker-v0.14.3.tar.gz: PKIX path building failed: sun.security.provider.certpath.SunCertPathBuilderException: unable to find valid certification path to requested target
ERROR: no such package '@io_bazel_rules_docker//repositories': java.io.IOException: Error downloading [https://github.com/bazelbuild/rules_docker/releases/download/v0.14.3/rules_docker-v0.14.3.tar.gz] to /home/test/.cache/bazel/_bazel_test/abd37aaac8a380ca5a3f13938322fcb2/external/io_bazel_rules_docker/rules_docker-v0.14.3.tar.gz: PKIX path building failed: sun.security.provider.certpath.SunCertPathBuilderException: unable to find valid certification path to requested target
INFO: Elapsed time: 24.586s
INFO: 0 processes.
FAILED: Build did NOT complete successfully (0 packages loaded)

Solution

If you cannot download the packages in normal Internet connection, fix the error as follows:

Download these packages from the following URLs to the local PC and upload them to any directory on the Linux server, for example, $HOME/bazel_tools.

https://github.com/bazelbuild/rules_docker/releases/download/v0.14.3/rules_docker-v0.14.3.tar.gz
https://github.com/bazelbuild/bazel-skylib/releases/download/0.8.0/bazel-skylib.0.8.0.tar.gz
https://github.com/bazelbuild/rules_swift/releases/download/0.11.1/rules_swift.0.11.1.tar.gz
https://github.com/llvm-mirror/llvm/archive/7a7e03f906aada0cf4b749b51213fe5784eeff84.tar.gz

The following lists the absolute paths of the above files on the Linux server.

/home/test/bazel_tools/rules_docker-v0.14.3.tar.gz
/home/test/bazel_tools/bazel-skylib.0.8.0.tar.gz
/home/test/bazel_tools/rules_swift.0.11.1.tar.gz
/home/test/bazel_tools/llvm-7a7e03f906aada0cf4b749b51213fe5784eeff84.tar.gz

Modify the download URLs in the Bazel-related files.

Switch to the tensorflow-1.15.0 directory, run the vi WORKSPACE command to open the WORKSPACE file, and change each download URL to its corresponding absolute path on the Linux server.

bazel_toolchains_repositories()
http_archive(
    name = "io_bazel_rules_docker",
    sha256 = "6287241e033d247e9da5ff705dd6ef526bac39ae82f3d17de1b69f8cb313f9cd",
    strip_prefix = "rules_docker-0.14.3",
    urls = ["file:///home/test/bazel_tools/rules_docker-v0.14.3.tar.gz"],
)

load(
    "@io_bazel_rules_docker//repositories:repositories.bzl",
    container_repositories = "repositories",
)
container_repositories()

load("//third_party/toolchains/preconfig/generate:workspace.bzl",
     "remote_config_workspace")
remote_config_workspace()

# Apple and Swift rules.
http_archive(
    name = "build_bazel_rules_apple",
    sha256 = "6efdde60c91724a2be7f89b0c0a64f01138a45e63ba5add2dca2645d981d23a1",
    urls = ["https://github.com/bazelbuild/rules_apple/releases/download/0.17.2/rules_apple.0.17.2.tar.gz"],
)  # https://github.com/bazelbuild/rules_apple/releases
http_archive(
    name = "build_bazel_rules_swift",
    sha256 = "96a86afcbdab215f8363e65a10cf023b752e90b23abf02272c4fc668fcb70311",
    urls = ["file:///home/test/bazel_tools/rules_swift.0.11.1.tar.gz"],
)  # https://github.com/bazelbuild/rules_swift/releases

Save the file and exit.

Modify the llvm URL to its absolute path on the Linux server in the workspace.bzl file in the tensorflow-1.15.0/tensorflow directory.

    # TODO(phawkins): currently, this rule uses an unofficial LLVM mirror.
    # Switch to an official source of snapshots if/when possible.
    tf_http_archive(
        name = "llvm",
        build_file = clean_dep("//third_party/llvm:llvm.autogenerated.BUILD"),
        sha256 = "599b89411df88b9e2be40b019e7ab0f7c9c10dd5ab1c948cd22e678cc8f8f352",
        strip_prefix = "llvm-7a7e03f906aada0cf4b749b51213fe5784eeff84",
        urls = [
            "https://mirror.bazel.build/github.com/llvm-mirror/llvm/archive/7a7e03f906aada0cf4b749b51213fe5784eeff84.tar.gz",
            "file:///home/test/bazel_tools/llvm-7a7e03f906aada0cf4b749b51213fe5784eeff84.tar.gz",
        ],
    )

After modification, switch to the tensorflow-1.15.0 directory and compile the xlacompile tool with the following command.
```
bazel build --config=monolithic //tensorflow/compiler/aot:xlacompile
```
If you see the message "ERROR: An error occurred during the fetch of repository 'bazel_skylib':", take the next step to edit files related to bazel_skylib.
Modify the related URL in the .cache directory.
Switch to the $HOME directory and run the grep -r bazel-skylib.0.8.0 .cache/ command to check which file in the .cache directory references the URL of bazel-skylib.0.8.0.tar.gz. Then, go to the directory of the file, for example, .cache/bazel/_bazel_test/abd37aaac8a380ca5a3f13938322fcb2/external/io_bazel_rules_closure/closure/repositories.bzl.

Open the file and change the URL to the following absolute path.
```
file:///home/test/bazel_tools/bazel-skylib.0.8.0.tar.gz
```
Save the file and exit.

Parent topic: FAQs