# Need separate target for init:
$(TARGET_OUT):
	@mkdir -p $@

# If the hub is not explicitly set, use default to istio.
HUB ?=istio
ifeq ($(HUB),)
  $(error "HUB cannot be empty")
endif

# For dockerx builds, allow HUBS which is a space separated list of hubs. Default to HUB.
HUBS ?= $(HUB)

# If tag not explicitly set in users' .istiorc.mk or command line, default to the git sha.

* <a href="https://hub.docker.com/_/postgres" class="external-link" target="_blank">PostgreSQL</a>
* <a href="https://hub.docker.com/_/mysql" class="external-link" target="_blank">MySQL</a>
* <a href="https://hub.docker.com/_/mongo" class="external-link" target="_blank">MongoDB</a>
* <a href="https://hub.docker.com/_/redis" class="external-link" target="_blank">Redis</a>, etc.

```bash
iop istio-control istio-discovery $IBASE/istio-control/istio-discovery \
            --set global.istioNamespace=istio-system

# Second istio-discovery, using master version of istio
TAG=latest HUB=gcr.io/istio-testing iop istio-master istio-discovery-master $IBASE/istio-control/istio-discovery \
            --set policy.enable=false \
            --set global.istioNamespace=istio-master
```

### Gateways

    for the required packages. Alternatively, use the said
    [tensorflow/build Docker images](https://hub.docker.com/r/tensorflow/build)
    (`tensorflow/tensorflow:devel` and `tensorflow/tensorflow:devel-gpu` are no
    longer supported for development). Use TF SIG Build Dockerfiles in

# MinIO Quickstart Guide

[![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io) [![Docker Pulls](https://img.shields.io/docker/pulls/minio/minio.svg?maxAge=604800)](https://hub.docker.com/r/minio/minio/) [![license](https://img.shields.io/badge/license-AGPL%20V3-blue)](https://github.com/minio/minio/blob/master/LICENSE)

[![MinIO](https://raw.githubusercontent.com/minio/minio/master/.github/logo.svg?sanitize=true)](https://min.io)

        and
        [`@dataclasses.dataclass`](https://docs.python.org/3/library/dataclasses.html#dataclasses.dataclass)
        from the standard Python library.
    *   Extension types are supported by Keras, tf.data, TF-hub, SavedModel,
        tf.function, control flow ops, py_function, and distribution strategy.
    *   Add "dispatch decorators" that can be used to override the default