├── .github
└── workflows
│ └── pythonpublish.yml
├── .gitignore
├── LICENSE
├── README.md
├── cloud
├── __init__.py
├── cloud.py
└── envs
│ ├── __init__.py
│ ├── aws.py
│ ├── azure.py
│ ├── env.py
│ ├── gcp.py
│ ├── registry.py
│ └── utils.py
├── configs
├── cloud.toml-aws
├── cloud.toml-azure
└── cloud.toml-gcp
├── example
├── cloud.toml
├── data.py
├── model.py
└── train.py
└── setup.py
/.github/workflows/pythonpublish.yml:
--------------------------------------------------------------------------------
1 | name: Upload Python Package
2 |
3 | on:
4 | release:
5 | types: [created]
6 |
7 | jobs:
8 | deploy:
9 | runs-on: ubuntu-latest
10 | steps:
11 | - uses: actions/checkout@v1
12 | - name: Set up Python
13 | uses: actions/setup-python@v1
14 | with:
15 | python-version: '3.x'
16 | - name: Install dependencies
17 | run: |
18 | python -m pip install --upgrade pip
19 | pip install setuptools wheel twine
20 | - name: Build and publish
21 | env:
22 | TWINE_USERNAME: ${{ secrets.PYPI_USERNAME }}
23 | TWINE_PASSWORD: ${{ secrets.PYPI_PASSWORD }}
24 | run: |
25 | python setup.py sdist bdist_wheel
26 | twine upload dist/*
27 |
--------------------------------------------------------------------------------
/.gitignore:
--------------------------------------------------------------------------------
1 | # Byte-compiled / optimized / DLL files
2 | __pycache__/
3 | *.py[cod]
4 | *$py.class
5 |
6 | # C extensions
7 | *.so
8 |
9 | # Distribution / packaging
10 | .Python
11 | build/
12 | develop-eggs/
13 | dist/
14 | downloads/
15 | eggs/
16 | .eggs/
17 | lib/
18 | lib64/
19 | parts/
20 | sdist/
21 | var/
22 | wheels/
23 | *.egg-info/
24 | .installed.cfg
25 | *.egg
26 | MANIFEST
27 |
28 | # PyInstaller
29 | # Usually these files are written by a python script from a template
30 | # before PyInstaller builds the exe, so as to inject date/other infos into it.
31 | *.manifest
32 | *.spec
33 |
34 | # Installer logs
35 | pip-log.txt
36 | pip-delete-this-directory.txt
37 |
38 | # Unit test / coverage reports
39 | htmlcov/
40 | .tox/
41 | .coverage
42 | .coverage.*
43 | .cache
44 | nosetests.xml
45 | coverage.xml
46 | *.cover
47 | .hypothesis/
48 | .pytest_cache/
49 |
50 | # Translations
51 | *.mo
52 | *.pot
53 |
54 | # Django stuff:
55 | *.log
56 | local_settings.py
57 | db.sqlite3
58 |
59 | # Flask stuff:
60 | instance/
61 | .webassets-cache
62 |
63 | # Scrapy stuff:
64 | .scrapy
65 |
66 | # Sphinx documentation
67 | docs/_build/
68 |
69 | # PyBuilder
70 | target/
71 |
72 | # Jupyter Notebook
73 | .ipynb_checkpoints
74 |
75 | # pyenv
76 | .python-version
77 |
78 | # celery beat schedule file
79 | celerybeat-schedule
80 |
81 | # SageMath parsed files
82 | *.sage.py
83 |
84 | # Environments
85 | .env
86 | .venv
87 | env/
88 | venv/
89 | ENV/
90 | env.bak/
91 | venv.bak/
92 |
93 | # Spyder project settings
94 | .spyderproject
95 | .spyproject
96 |
97 | # Rope project settings
98 | .ropeproject
99 |
100 | # mkdocs documentation
101 | /site
102 |
103 | # mypy
104 | .mypy_cache/
105 |
--------------------------------------------------------------------------------
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622 |
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650 | Also add information on how to contact you by electronic and paper mail.
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667 | .
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669 | The GNU General Public License does not permit incorporating your program
670 | into proprietary programs. If your program is a subroutine library, you
671 | may consider it more useful to permit linking proprietary applications with
672 | the library. If this is what you want to do, use the GNU Lesser General
673 | Public License instead of this License. But first, please read
674 | .
--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
1 | # Cloud Utilities for Deep Learning ⛅️
2 |
3 | A super lightweight cloud management tool designed with deep learning applications in mind.
4 |
5 |
6 | **Built with the belief that managing cloud resources should be as easy as:**
7 |
8 | ```python
9 | import cloud
10 |
11 | cloud.connect()
12 | train_my_network()
13 | cloud.down()
14 | ```
15 |
16 | We welcome all contributions, suggestions, and use-cases. Reach out to us over GitHub or at team@for.ai with ideas!
17 |
18 | ## Contents
19 | - [Quickstart](#quickstart)
20 | - [Install](#install)
21 | - [Config](#config)
22 | - [Usage](#usage)
23 | - [Documentation](#documentation)
24 | - [Amazon EC2](#amazon-ec2)
25 | - [Azure](#azure)
26 | - [Google Cloud](#google-cloud)
27 |
28 | ## Quickstart
29 |
30 | ### Install:
31 | Sort of stable:
32 | ```python
33 | sudo pip install dl-cloud
34 | ```
35 | Bleeding edge:
36 | ```python
37 | git clone git@github.com:for-ai/cloud.git
38 | sudo pip install -e cloud
39 | ```
40 |
41 | ### Config:
42 |
43 | See `configs/cloud.toml-*` for instructions on how to authenticate for each provider (Google Cloud, AWS EC2, and Azure).
44 |
45 | Place your completed configuration file (named `cloud.toml`) in either root `/` or `$HOME`. Otherwise, provide a full path to the file in `$CLOUD_CFG`.
46 |
47 | If you use GCP as a provider for your `cloud.toml` it will use GCP Instance metadata APIs to fetch APIs. If you want to configure for Google Cloud Build, please use;
48 | ```toml
49 | is_gcb = true
50 | zone = '{{DESIRED_ZONE}}'
51 | ```
52 |
53 | ### Usage:
54 | #### GPU
55 | ```python
56 | import cloud
57 | cloud.connect()
58 |
59 | # gpu instances have a dedicated GPU so we don't need to worry
60 | # about preemption or acquiring/releasing accelerators online.
61 |
62 | while True:
63 | # train your model or w/e
64 |
65 | cloud.down() # stop the instance (does not delete instance)
66 | ```
67 |
68 | #### TPU (Only on GCP)
69 | ```python
70 | import cloud
71 | cloud.connect()
72 |
73 | tpu = cloud.instance.tpu.get(preemptible=True) # acquire an accelerator
74 | while True:
75 | if not tpu.usable:
76 | tpu.delete(background=True) # release the accelerator in the background
77 | tpu = cloud.instance.tpu.get(preemptible=True) # acquire a new accelerator
78 | else:
79 | # train your model or w/e
80 |
81 | cloud.down() # release all resources, then stop the instance (does not delete instance)
82 | ```
83 |
84 | ---
85 |
86 | # Documentation
87 |
88 | ### cloud.connect()
89 | Takes/Creates a `cloud.Instance` object and sets `cloud.instance` to it.
90 |
91 | | **returns** | **desc.** |
92 | | :------- | :------- |
93 | | cloud_env | a cloud.Instance. |
94 |
95 | ### cloud.down()
96 | Calls `cloud.instance.down()`.
97 |
98 | ### cloud.delete(confirm=True)
99 | Calls `cloud.instance.delete(confirm)`.
100 |
101 | ### cloud.Resource
102 | Takes/Creates a `cloud.Instance` object and sets `cloud.instance` to it.
103 |
104 | | properties | desc. |
105 | | :------- | :------- |
106 | | `name` | str, name of the instance |
107 | | `usable ` | bool, whether this resource is usable |
108 | | **methods** | **desc.** |
109 | | `up(background=False)` | start an existing stopped resource |
110 | | `down(background=False)` | stop the resource. Note: this should not necessarily delete this resource |
111 | | `delete(background=False)` | delete this resource |
112 |
113 | ### cloud.Instance(Resource)
114 |
115 | An object representing a cloud instance with a set of Resources that can be allocated/deallocated.
116 |
117 | | properties | desc. |
118 | | :------- | :------- |
119 | | `resource_managers` | list of ResourceManagers |
120 | | **methods** | **desc.** |
121 | | `down(background=False, delete_resources=True)` | stop this instance and optionally delete all managed resources |
122 | | `delete(background=False, confirm=True)` | delete this instance with optional user confirmation |
123 |
124 | ### cloud.ResourceManager
125 |
126 | Class for managing the creation and maintanence of `cloud.Resources`.
127 |
128 | | properties | desc. |
129 | | :------- | :------- |
130 | | `instance ` | `cloud.Instance` instance owning this resource manager |
131 | | `resource_cls ` | `cloud.Resource` type, the class of the resource to be managed |
132 | | `resources ` | list of `cloud.Resource`s, managed resources |
133 | | **methods** | **desc.** |
134 | | `__init__(instance, resource_cls)` | `instance`: the `cloud.Instance` object operating this ResourceManager |
135 | | | `resource_cls `: the `cloud.Resource` class this object manages |
136 | | `add(*args, **kwargs)` | add an existing resource to this manager |
137 | | `remove(*args, **kwargs)` | remove an existing resource from this manager |
138 |
139 | ## Amazon EC2
140 | ### cloud.AWSInstance(Instance)
141 |
142 | A `cloud.Instance` object for AWS EC2 instances.
143 |
144 | ## Azure
145 | ### cloud.AzureInstance(Instance)
146 |
147 | A `cloud.Instance` object for Microsoft Azure instances.
148 |
149 | ## Google Cloud
150 |
151 | Our GCPInstance requires that your instances have `gcloud` installed and properly authenticated so that `gcloud alpha compute tpus create test_name` runs without issue.
152 |
153 | ### cloud.GCPInstance(Instance)
154 |
155 | A `cloud.Instance` object for Google Cloud instances.
156 |
157 | | properties | desc. |
158 | | :------- | :------- |
159 | | `tpu ` | `cloud.TPUManager`, a resource manager for this instance's TPUs |
160 | | `resource_managers ` | list of owned `cloud.ResourceManager`s |
161 | | **methods** | **desc.** |
162 | | `__init__(collect_existing_tpus=True, **kwargs)` | `collect_existing_tpus `: bool, whether to add existing TPUs to this manager |
163 | | | `**kwargs `: passed to `cloud.Instance`'s initializer |
164 |
165 |
166 | ### cloud.TPU(Resource)
167 |
168 | Resource class for TPU accelerators.
169 |
170 | | properties | desc. |
171 | | :------- | :------- |
172 | | `ip` | str, IP address of the TPU |
173 | | `preemptible` | bool, whether this TPU is preemptible or not |
174 | | `details` | dict {str: str}, properties of this TPU |
175 | | **methods** | **desc.** |
176 | | `up(background=False)` | start this TPU |
177 | | `down(background=False)` | stop this TPU |
178 | | `delete(background=False)` | delete this TPU |
179 |
180 | ### cloud.TPUManager(ResourceManager)
181 |
182 | ResourceManager class for TPU accelerators.
183 |
184 | | properties | desc. |
185 | | :------- | :------- |
186 | | `names` | list of str, names of the managed TPUs |
187 | | `ips` | list of str, ips of the managed TPUs |
188 | | **methods** | **desc.** |
189 | | `__init__(instance, collect_existing=True)` | `instance`: the `cloud.GCPInstance` object operating this TPUManager |
190 | | | `collect_existing`: bool, whether to add existing TPUs to this manager |
191 | | `clean(background=True)` | delete all managed TPUs with unhealthy states |
192 | | `get(preemptible=True)` | get an available TPU, or create one using `up()` if none exist |
193 | | `up(preemptible=True, background=False)` | allocate and manage a new instance of `resource_cls ` |
194 |
--------------------------------------------------------------------------------
/cloud/__init__.py:
--------------------------------------------------------------------------------
1 | import sys
2 | import logging
3 |
4 | global logger
5 | logger = logging.getLogger("cloud")
6 | handler = logging.StreamHandler(sys.stderr)
7 | handler.setFormatter(logging.Formatter(logging.BASIC_FORMAT, None))
8 | logger.addHandler(handler)
9 |
10 | logging.getLogger("errand_boy").setLevel(logging.WARNING)
11 | logging.getLogger('googleapiclient.discovery_cache').setLevel(logging.ERROR)
12 | logging.getLogger('googleapiclient.discovery').setLevel(logging.CRITICAL)
13 |
14 | socket_path = None
15 |
16 | from cloud.envs import registry
17 |
18 | from cloud.envs import env
19 | from cloud.envs.env import Instance
20 | from cloud.envs.env import Resource
21 | from cloud.envs.env import ResourceManager
22 |
23 | from cloud.envs import aws
24 | from cloud.envs.aws import AWSInstance
25 |
26 | from cloud.envs import azure
27 | from cloud.envs.azure import AzureInstance
28 |
29 | from cloud.envs import gcp
30 | from cloud.envs.gcp import GCPInstance
31 | from cloud.envs.gcp import TPU
32 | from cloud.envs.gcp import TPUManager
33 |
34 | from cloud.cloud import close
35 | from cloud.cloud import connect
36 | from cloud.cloud import down
37 | from cloud.cloud import delete
38 |
--------------------------------------------------------------------------------
/cloud/cloud.py:
--------------------------------------------------------------------------------
1 | import atexit
2 | import logging
3 | import os
4 |
5 | import libcloud
6 | import toml
7 |
8 | import cloud
9 | from cloud import Instance
10 | from cloud import registry as reg
11 | from cloud.envs import utils
12 |
13 | logger = logging.getLogger(__name__)
14 |
15 |
16 | def connect(socket_path="/tmp/cloud_socket"):
17 | config_filepath = utils.config_path()
18 | if config_filepath is None:
19 | logger.error("ASSUMING LOCAL: Configuration file not found in any of the locations"
20 | " below.\n See github.com/for-ai/cloud/tree/master/configs for "
21 | "example configurations to fill in and use; copy and place in a file "
22 | "named `cloud.toml` at `/cloud.toml` or `$HOME/cloud.toml`.")
23 | return
24 |
25 | with open(config_filepath, "r") as cf:
26 | config = toml.load(cf)
27 | provider = config.pop("provider").lower()
28 | if socket_path:
29 | _set_socket_path(socket_path)
30 | cloud.instance = reg.retrieve(provider, config=config)
31 |
32 |
33 | def _set_socket_path(local_socket_path):
34 | os.makedirs(os.path.dirname(local_socket_path), exist_ok=True)
35 | cloud.socket_path = local_socket_path
36 |
37 |
38 | def close():
39 | utils.kill_transport()
40 | utils.kill_server()
41 |
42 |
43 | def down():
44 | cloud.instance.down()
45 |
46 |
47 | def delete(confirm=True):
48 | cloud.instance.delete(confirm)
49 |
50 |
51 | atexit.register(close)
52 |
--------------------------------------------------------------------------------
/cloud/envs/__init__.py:
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https://raw.githubusercontent.com/Cohere-Labs-Community/cloud/a53a4795fb0290b99eace030cf6c62aedf051573/cloud/envs/__init__.py
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/cloud/envs/aws.py:
--------------------------------------------------------------------------------
1 | import os
2 |
3 | import requests
4 | from libcloud.compute.providers import get_driver
5 | from libcloud.compute.types import Provider
6 |
7 | from cloud.envs import env, registry, utils
8 |
9 |
10 | @registry.register("aws")
11 | class AWSInstance(env.Instance):
12 |
13 | def __init__(self, config, **kwargs):
14 | super().__init__(**kwargs)
15 | self.access_key = config["access_key"]
16 | self.secret_key = config["secret_key"]
17 | self.region = config["region"]
18 |
19 | @property
20 | def driver(self):
21 | if getattr(self, '_driver', None) is None:
22 | self._driver = get_driver(Provider.EC2)(self.access_key, self.secret_key, region=self.region)
23 | return self._driver
24 |
25 | @property
26 | def name(self):
27 | if getattr(self, '_name', None) is None:
28 | # https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-instance-metadata.html
29 | r = requests.get("http://169.254.169.254/latest/meta-data/instance-id")
30 | self._name = r.text
31 | return self._name
32 |
--------------------------------------------------------------------------------
/cloud/envs/azure.py:
--------------------------------------------------------------------------------
1 | from libcloud.compute.providers import get_driver
2 | from libcloud.compute.types import Provider
3 |
4 | from cloud.envs import env, registry, utils
5 |
6 |
7 | @registry.register("azure")
8 | class AzureInstance(env.Instance):
9 |
10 | def __init__(self, config, **kwargs):
11 | super().__init__(**kwargs)
12 | self.application_id = config["application_id"]
13 | self.subscription_id = config["subscription_id"]
14 | self.tenant_id = config["tenant_id"]
15 | self.key = config["key"]
16 |
17 | @property
18 | def driver(self):
19 | if getattr(self, '_driver', None) is None:
20 | self._driver = get_driver(Provider.AZURE_ARM)(tenant_id=self.tenant_id,
21 | subscription_id=self.subscription_id,
22 | key=self.application_id,
23 | secret=self.key)
24 | return self._driver
25 |
26 | @property
27 | def name(self):
28 | if getattr(self, '_name', None) is None:
29 | self._name = utils.call(["hostname"])[1].strip()
30 | return self._name
31 |
--------------------------------------------------------------------------------
/cloud/envs/env.py:
--------------------------------------------------------------------------------
1 | import logging
2 | import sys
3 | import time
4 | import traceback
5 |
6 | from cloud.envs import utils
7 |
8 | logger = logging.getLogger(__name__)
9 |
10 |
11 | class Resource(object):
12 |
13 | def __init__(self, manager=None):
14 | super().__init__()
15 | self.manager = manager
16 |
17 | @property
18 | def name(self):
19 | raise NotImplementedError
20 |
21 | @property
22 | def usable(self):
23 | return True
24 |
25 | def up(self, background=False):
26 | raise NotImplementedError
27 |
28 | def down(self, background=True):
29 | raise NotImplementedError
30 |
31 | def delete(self, background=True):
32 | if self.manager:
33 | self.manager.remove(self)
34 |
35 |
36 | class Instance(Resource):
37 |
38 | def __init__(self, manager=None, **kwargs):
39 | super().__init__(manager=manager)
40 | self.resource_managers = []
41 |
42 | assert utils.get_server().is_alive()
43 |
44 | def _kill_command_server(self):
45 | utils.kill_transport()
46 | utils.kill_server()
47 |
48 | @property
49 | def driver(self):
50 | raise NotImplementedError
51 |
52 | @property
53 | def node(self):
54 | if getattr(self, '_node', None) is None:
55 | nodes = self.driver.list_nodes()
56 | if len(nodes) == 0:
57 | raise Exception("list_nodes returned an empty list, did you set up your cloud permissions correctly?")
58 |
59 | for n in nodes:
60 | if n.name == self.name:
61 | self._node = n
62 |
63 | # node not found
64 | if self._node is None:
65 | raise Exception("current node could not be found - name: {} node_list: {}".format(self.name, nodes))
66 |
67 | return self._node
68 |
69 | def clean(self, background=True, delete_resources=True):
70 | for rm in self.resource_managers:
71 | if delete_resources:
72 | rm.delete(background=background)
73 | else:
74 | rm.down(background=background)
75 |
76 | self._kill_command_server()
77 |
78 | def down(self, background=True, delete_resources=True):
79 | self.clean(background=background, delete_resources=delete_resources)
80 | self.driver.ex_stop_node(self.node)
81 |
82 | def delete(self, background=True, confirm=True):
83 | while confirm:
84 | r = input("Are you sure you wish to delete this instance (y/[n]): ")
85 |
86 | if r == "y":
87 | break
88 | elif r in ["n", ""]:
89 | logger.info("Aborting deletion...")
90 | return
91 |
92 | super().delete(background=background)
93 |
94 | self.clean(background=background, delete_resources=True)
95 | self.driver.destroy_node(self.node, destroy_boot_disk=True)
96 |
97 |
98 | class ResourceManager(object):
99 |
100 | def __init__(self, instance, resource_cls):
101 | super().__init__()
102 | self.instance = instance
103 | self.resource_cls = resource_cls
104 | self.resources = []
105 |
106 | def __getitem__(self, idx):
107 | return self.resources[idx]
108 |
109 | def add(self, *args, **kwargs):
110 | if len(args) == 1:
111 | arg = args[0]
112 | if isinstance(arg, self.resource_cls):
113 | self.resources += [arg]
114 | return arg
115 |
116 | raise NotImplementedError
117 |
118 | def remove(self, *args, **kwargs):
119 | if len(args) == 1:
120 | arg = args[0]
121 | if isinstance(arg, self.resource_cls):
122 | self.resources.remove(arg)
123 | return
124 |
125 | raise NotImplementedError
126 |
127 | def up(self, background=False):
128 | raise NotImplementedError
129 |
130 | def down(self, background=True):
131 | for r in self.resources:
132 | try:
133 | r.down(background=background)
134 | except Exception as e:
135 | logger.error("Failed to shutdown resource: %s" % r)
136 | logger.error(traceback.format_exc())
137 |
138 | def delete(self, background=True):
139 | for r in self.resources:
140 | try:
141 | r.delete(background=background)
142 | except Exception as e:
143 | logger.error("Failed to delete resource: %s" % r)
144 | logger.error(traceback.format_exc())
145 |
--------------------------------------------------------------------------------
/cloud/envs/gcp.py:
--------------------------------------------------------------------------------
1 | import json
2 | import logging
3 | import os
4 | import random
5 | import re
6 | import socket
7 | import string
8 | import subprocess
9 | from pathlib import Path
10 |
11 | import numpy as np
12 | import psutil
13 | import requests
14 | from filelock import FileLock
15 | from libcloud.compute.providers import get_driver
16 | from libcloud.compute.types import Provider
17 |
18 | from cloud.envs import env, registry, utils
19 |
20 | logger = logging.getLogger(__name__)
21 |
22 |
23 | @registry.register("gcp")
24 | class GCPInstance(env.Instance):
25 |
26 | def __init__(self, collect_existing_tpus=True, **kwargs):
27 | super().__init__(**kwargs)
28 |
29 | # Check for dependencies
30 | try:
31 | utils.call(["gcloud", "--version"])
32 | except Exception as e:
33 | raise (e)
34 |
35 | if kwargs['config'].get('is_gcb', False):
36 | self._name = "cloud-build"
37 | self._zone = kwargs['config']['zone']
38 |
39 | self.tpu = TPUManager(self)
40 | self.resource_managers = [self.tpu]
41 |
42 | @property
43 | def driver(self):
44 | if getattr(self, '_driver', None) is None:
45 | r = requests.get("http://metadata.google.internal/computeMetadata/v1/project/project-id",
46 | headers={"Metadata-Flavor": "Google"})
47 | project_id = r.text
48 | self._driver = get_driver(Provider.GCE)("", "", project=project_id)
49 | return self._driver
50 |
51 | @property
52 | def zone(self):
53 | if getattr(self, '_zone', None) is None:
54 | r = requests.get("http://metadata.google.internal/computeMetadata/v1/instance/zone",
55 | headers={"Metadata-Flavor": "Google"})
56 | self._zone = r.text
57 | return self._zone
58 |
59 | @property
60 | def name(self):
61 | if getattr(self, '_name', None) is None:
62 | r = requests.get("http://metadata.google.internal/computeMetadata/v1/instance/name",
63 | headers={"Metadata-Flavor": "Google"})
64 | self._name = r.text
65 | return self._name
66 |
67 |
68 | class TPU(env.Resource):
69 |
70 | def __init__(self, name, manager=None):
71 | super().__init__(manager=manager)
72 | self._name = name
73 | details = self.details
74 | self.ip = details.get("ipAddress")
75 | self.preemptible = details.get("preemptible") == "true"
76 | self.version = details.get("acceleratorType")
77 | self._in_use = False
78 |
79 | @property
80 | def name(self):
81 | return self._name
82 |
83 | @property
84 | def details(self):
85 | _, r, _ = utils.call(
86 | ["gcloud", "compute", "tpus", "describe", "--zone={}".format(self.manager.zone), self.name])
87 | r = r.split("\n")
88 | details = dict()
89 | for line in r:
90 | v = line.split(": ")
91 | if len(v) != 2:
92 | continue
93 | k, v = v
94 | details[k.strip()] = v.strip()
95 | return details
96 |
97 | @property
98 | def still_exists(self):
99 | return self.name in self.manager.get_all_tpu_names()
100 |
101 | @property
102 | def free(self):
103 | return not self._in_use and not self.manager.lockfile.check_if_in_use(self)
104 |
105 | @property
106 | def usable(self):
107 | details = self.details
108 | if not self.still_exists:
109 | logger.debug("tpu {} no longer exists and will be removed.".format(self.name))
110 | self.manager.remove(self)
111 | return False
112 |
113 | is_running = details.get("state") in ["READY", "RUNNING"]
114 | is_healthy = details.get("health") in ["HEALTHY", None]
115 |
116 | if not is_running:
117 | logger.debug("tpu {} is no longer running.".format(self.name))
118 |
119 | if not is_healthy:
120 | logger.debug("tpu {} is no longer healthy.".format(self.name))
121 |
122 | return is_running and is_healthy
123 |
124 | def up(self, background=False):
125 | cmd = ["gcloud", "compute", "tpus", "start", "--zone={}".format(self.manager.zone), self.name]
126 | if background:
127 | cmd += ["--async"]
128 |
129 | utils.try_call(cmd)
130 |
131 | def down(self, background=True):
132 | cmd = ["gcloud", "compute", "tpus", "stop", "--zone={}".format(self.manager.zone), self.name]
133 | if background:
134 | cmd += ["--async"]
135 |
136 | utils.try_call(cmd)
137 |
138 | def delete(self, background=True):
139 | super().delete(background=background)
140 |
141 | if not self.still_exists:
142 | return
143 |
144 | cmd = ["gcloud", "compute", "tpus", "delete", "--zone={}".format(self.manager.zone), self.name]
145 | if background:
146 | cmd += ["--async"]
147 | cmd += ["--quiet"] # suppress user confirmation
148 |
149 | utils.try_call(cmd)
150 |
151 | def in_use(self):
152 | self._in_use = True
153 | self.manager.lockfile.register_in_use(self)
154 |
155 | def release(self):
156 | assert self._in_use
157 | self._in_use = False
158 | self.manager.lockfile.register_free(self)
159 |
160 |
161 | class TPULockFile:
162 |
163 | def __init__(self, filepath):
164 | self.filepath = Path(filepath).expanduser()
165 | self.lockpath = Path(filepath + ".lock").expanduser()
166 | self.filelock = FileLock(self.lockpath)
167 |
168 | if not self.filepath.exists():
169 | self.filepath.touch()
170 | if not self.lockpath.exists():
171 | self.lockpath.touch()
172 |
173 | def _write_registry(self, registry):
174 | f = open(self.filepath, "w")
175 | f.write(json.dumps(registry))
176 | f.close()
177 |
178 | def register_free(self, tpu):
179 | with self.filelock:
180 | f = open(self.filepath, "r")
181 | f_raw = f.read()
182 | tpu_registry = json.loads(f_raw) if f_raw else {}
183 | if tpu.name not in tpu_registry:
184 | return
185 |
186 | del tpu_registry[tpu.name]
187 | f.close()
188 | self._write_registry(tpu_registry)
189 |
190 | def register_in_use(self, tpu):
191 | with self.filelock:
192 | f = open(self.filepath, "r")
193 | f_raw = f.read()
194 | tpu_registry = json.loads(f_raw) if f_raw else {}
195 | if tpu.name in tpu_registry:
196 | if os.getpid() == tpu_registry[tpu.name]:
197 | pass
198 | elif psutil.pid_exists(tpu_registry[tpu.name]):
199 | raise Exception("TPU is already registered")
200 | else:
201 | logger.warn(f"Forcefully acquiring TPU {tpu.name} from dead pid {tpu_registry[tpu.name]}.")
202 | tpu_registry[tpu.name] = os.getpid()
203 | f.close()
204 | self._write_registry(tpu_registry)
205 |
206 | def check_if_in_use(self, tpu):
207 | with self.filelock:
208 | f = open(self.filepath, "r")
209 | f_raw = f.read()
210 | tpu_registry = json.loads(f_raw) if f_raw else {}
211 | if tpu.name in tpu_registry:
212 | if psutil.pid_exists(tpu_registry[tpu.name]):
213 | return True
214 | else:
215 | logger.warn(f"Removing TPU {tpu.name} from dead pid {tpu_registry[tpu.name]}.")
216 | del tpu_registry[tpu.name]
217 | self._write_registry(tpu_registry)
218 |
219 | return False
220 |
221 |
222 | class TPUManager(env.ResourceManager):
223 |
224 | def __init__(self, instance):
225 | super().__init__(instance, TPU)
226 | try:
227 | import tensorflow as tf
228 | import re
229 | m = re.search(r'(\d+\.\d+)\.\d+', tf.__version__)
230 | self.core_tf_version = m.group(1)
231 | if float(self.core_tf_version) <= 2.3:
232 | self.tf_version = m.group(1)
233 | else:
234 | self.tf_version = m.group()
235 | if "dev" in tf.__version__:
236 | logging.info("Found Tensorflow nightly version. Using TPU software version: nightly")
237 | self.tf_version = "nightly"
238 | except:
239 | logger.warn("Unable to determine Tensorflow version. Assuming 1.15")
240 | self.tf_version = "1.15"
241 |
242 | self.hostname = socket.gethostname()
243 | self.zone = instance.zone.split('/')[-1]
244 |
245 | from cloud import socket_path
246 | self.lockfile = TPULockFile(os.path.join("~", ".tpu_registry"))
247 | self.refresh()
248 |
249 | @property
250 | def names(self):
251 | return [r.name for r in self.resources]
252 |
253 | @property
254 | def ips(self):
255 | return [r.ip for r in self.resources]
256 |
257 | def get_all_tpu_names(self):
258 | _, r, _ = utils.call(["gcloud", "compute", "tpus", "list", "--zone={}".format(self.zone)])
259 | lines = r.split("\n")[1:]
260 | lines = filter(lambda l: l != "", lines)
261 | names = [l.split()[0] for l in lines]
262 | return filter(lambda n: self.instance.name in n, names)
263 |
264 | def refresh(self, background=True):
265 | self.collect_existing()
266 | self.clean(background=background)
267 |
268 | def collect_existing(self):
269 | names = self.get_all_tpu_names()
270 | existing_names = self.names
271 | new_tpus = [TPU(name=n, manager=self) for n in names if n not in existing_names]
272 |
273 | for tpu in new_tpus:
274 | logger.debug("Found TPU named {}".format(tpu.name))
275 |
276 | self.resources.extend(new_tpus)
277 |
278 | def clean(self, background=True):
279 | all_tpu_names = self.get_all_tpu_names()
280 | for tpu in self.resources:
281 | if tpu.name not in all_tpu_names:
282 | self.remove(tpu)
283 | elif not tpu.usable:
284 | tpu.delete(background=background)
285 |
286 | def _new_name(self, length=5):
287 | while True:
288 | name = random.sample(string.ascii_lowercase, length)
289 | name = self.instance.name + "-" + ''.join(name)
290 | if name not in self.names:
291 | return name
292 |
293 | def _new_ip(self):
294 | while True:
295 | ip = "10.{}.{}.0".format(random.randint(1, 98), random.randint(1, 98))
296 | if ip not in self.ips:
297 | return ip
298 |
299 | def add(self, *args, **kwargs):
300 | if len(args) == 1:
301 | arg = args[0]
302 | if isinstance(arg, str):
303 | tpu = TPU(name=arg, manager=self)
304 | self.resources.append(tpu)
305 | return tpu
306 | return super().add(*args, **kwargs)
307 |
308 | def get(self, preemptible=True, name=None, version='v3-8', zone=None):
309 | tpu = None
310 | assert re.match(r"v\d-\d+", version)
311 | for tpu in self.resources:
312 | logger.debug("Considering tpu: {}".format(tpu.name))
313 | if tpu.version == version and tpu.usable and tpu.free and not name:
314 | logger.debug("tpu usable")
315 | break
316 |
317 | if tpu.name == name:
318 | break
319 | else:
320 | logger.debug("creating tpu")
321 | tpu = self.up(preemptible=preemptible, name=name, version=version, zone=zone)
322 | tpu.in_use()
323 | return tpu
324 |
325 | def _up(self, name, ip, preemptible, version, zone, background):
326 | logger.info("Trying to acquire TPU with name: {} ip: {}".format(name, ip))
327 | cmd = [
328 | "gcloud", "compute", "tpus", "create", name, "--range={}".format(ip),
329 | "--accelerator-type={}".format(version), "--version={}".format(self.tf_version), "--network=default"
330 | ]
331 | if zone:
332 | cmd += ["--zone={}".format(zone)]
333 | if preemptible:
334 | cmd += ["--preemptible"]
335 | if background:
336 | cmd += ["--async"]
337 |
338 | s, _, err = utils.call(cmd)
339 | if s == 0:
340 | return TPU(name=name, manager=self)
341 |
342 | raise Exception("Failed to create TPU with name: {} ip: {} error: \n{}".format(name, ip, err))
343 |
344 | def up(self, preemptible=True, background=False, attempts=5, name=None, version='v3-8', zone=None):
345 | if not name:
346 | name = self._new_name()
347 | for i in range(attempts):
348 | try:
349 | tpu = self._up(name,
350 | self._new_ip(),
351 | preemptible=preemptible,
352 | version=version,
353 | zone=zone,
354 | background=background)
355 | tpu.manager = self
356 | self.resources.append(tpu)
357 | return tpu
358 | except Exception as e:
359 | logger.debug("Call resulted in error:\n{}".format(e))
360 | if i + 1 == attempts:
361 | raise e
362 | continue
363 |
--------------------------------------------------------------------------------
/cloud/envs/registry.py:
--------------------------------------------------------------------------------
1 | INSTANCES = dict()
2 |
3 |
4 | def register(name):
5 | global INSTANCES
6 |
7 | def fn(cls):
8 | INSTANCES[name] = cls
9 | return cls
10 |
11 | return fn
12 |
13 |
14 | def retrieve(name, **kwargs):
15 | global INSTANCES
16 | return INSTANCES[name](**kwargs)
17 |
--------------------------------------------------------------------------------
/cloud/envs/utils.py:
--------------------------------------------------------------------------------
1 | import logging
2 | import multiprocessing
3 | import os
4 | import subprocess
5 | import time
6 |
7 | from errand_boy.run import main as eb_main
8 | from errand_boy.transports.unixsocket import UNIXSocketTransport
9 |
10 | import cloud
11 |
12 | logger = logging.getLogger(__name__)
13 |
14 | EB_TRANSPORT = None
15 | EB_SERVER = None
16 |
17 |
18 | def get_transport():
19 | global EB_TRANSPORT
20 | if EB_TRANSPORT is None:
21 | EB_TRANSPORT = UNIXSocketTransport(socket_path=cloud.socket_path)
22 | return EB_TRANSPORT
23 |
24 |
25 | def kill_transport():
26 | global EB_TRANSPORT
27 | if EB_TRANSPORT is None:
28 | return
29 |
30 | logger.warn("Killing transport")
31 | del EB_TRANSPORT
32 | EB_TRANSPORT = None
33 |
34 |
35 | def _server_fn(socket_path):
36 | server = UNIXSocketTransport(socket_path=socket_path)
37 | server.run_server()
38 |
39 |
40 | def get_server():
41 | global EB_SERVER
42 | if EB_SERVER is None:
43 | EB_SERVER = multiprocessing.Process(target=_server_fn, args=(cloud.socket_path,))
44 | EB_SERVER.start()
45 | time.sleep(3)
46 | logging.getLogger("errand_boy").setLevel(logging.ERROR)
47 | return EB_SERVER
48 |
49 |
50 | def kill_server():
51 | global EB_SERVER
52 | if EB_SERVER is None:
53 | return
54 |
55 | logger.warn("Killing server")
56 | if EB_SERVER.is_alive():
57 | EB_SERVER.terminate()
58 | time.sleep(0.5)
59 | EB_SERVER.join(timeout=1)
60 | del EB_SERVER
61 | EB_SERVER = None
62 |
63 |
64 | def call(cmd):
65 | if isinstance(cmd, list):
66 | cmd = " ".join(cmd)
67 |
68 | stdout, stderr, returncode = get_transport().run_cmd(cmd)
69 | return returncode, stdout.decode("utf-8"), stderr.decode("utf-8")
70 |
71 |
72 | def try_call(cmd, retry_count=5):
73 | c = cmd
74 | status = -1
75 | for _ in range(retry_count):
76 | if callable(cmd):
77 | c = cmd()
78 | status, stdout, stderr = call(c)
79 | if status == 0:
80 | logger.debug("Call to `{}` successful".format(c))
81 | return c
82 | else:
83 | logger.info("Call to `{}` failed with status: {}. Retrying...\n STDOUT: {}\n STDERR: {}".format(c, status, stdout, stderr))
84 |
85 | raise Exception("Call to `{}` failed {} times."
86 | "Aborting.\n STDOUT: {}\n STDERR: {}".format(c, retry_count, stdout, stderr))
87 |
88 |
89 | def config_path():
90 | path = os.environ.get("CLOUD_CFG")
91 | if path is not None and os.path.isfile(path):
92 | return path
93 | logger.debug("Unable to find config file at path: {}".format(path))
94 |
95 | path = os.path.join(os.environ["HOME"], "cloud.toml")
96 | if os.path.isfile(path):
97 | return path
98 | logger.debug("Unable to find config file at path: {}".format(path))
99 |
100 | path = "/cloud.toml"
101 | if os.path.isfile(path):
102 | return path
103 | logger.debug("Unable to find config file at path: {}".format(path))
104 |
105 | return None
106 |
--------------------------------------------------------------------------------
/configs/cloud.toml-aws:
--------------------------------------------------------------------------------
1 | provider = "aws"
2 |
3 | # Instructions for finding your keys are here:
4 | # https://docs.aws.amazon.com/general/latest/gr/aws-sec-cred-types.html#access-keys-and-secret-access-keys
5 | access_key = "ACCESS_KEY"
6 | secret_key = "SECRET_KEY"
--------------------------------------------------------------------------------
/configs/cloud.toml-azure:
--------------------------------------------------------------------------------
1 | provider = "azure"
2 |
3 | # Instructions for finding values for tenant_id, application_id, key:
4 | # https://docs.microsoft.com/en-ca/azure/active-directory/develop/howto-create-service-principal-portal
5 | # Instructions for finding values for subscription_id:
6 | # https://blogs.msdn.microsoft.com/mschray/2015/05/13/getting-your-azure-guid-subscription-id/
7 |
8 | application_id = "APPLICATION_ID"
9 | subscription_id = "SUBSCRIPTION_ID"
10 | tenant_id = "TENANT_ID"
11 | key = "KEY"
--------------------------------------------------------------------------------
/configs/cloud.toml-gcp:
--------------------------------------------------------------------------------
1 | provider = "gcp"
2 |
3 | # GCP doesn't require any additional keys for authentication
--------------------------------------------------------------------------------
/example/cloud.toml:
--------------------------------------------------------------------------------
1 | provider="gce"
2 |
--------------------------------------------------------------------------------
/example/data.py:
--------------------------------------------------------------------------------
1 | import tensorflow as tf
2 | from tensorflow.examples.tutorials.mnist import input_data
3 |
4 |
5 | def get_mnist(data_source, params, training):
6 | """Input function for MNIST image data."""
7 |
8 | mnist = input_data.read_data_sets(data_source, one_hot=True)
9 |
10 | data_set = mnist.train if training else mnist.test
11 |
12 | def _input_fn():
13 | input_images = tf.constant(data_set.images)
14 |
15 | input_labels = tf.constant(
16 | data_set.labels) if not params.is_ae else tf.constant(data_set.images)
17 |
18 | image, label = tf.train.slice_input_producer([input_images, input_labels])
19 |
20 | imageBatch, labelBatch = tf.train.batch(
21 | [image, label], batch_size=params.batch_size)
22 |
23 | return {"inputs": imageBatch}, labelBatch
24 |
25 | return _input_fn
--------------------------------------------------------------------------------
/example/model.py:
--------------------------------------------------------------------------------
1 | import tensorflow as tf
2 |
3 |
4 | def get_autoencoder(params, lr):
5 | """Callable model function compatible with Experiment API."""
6 |
7 | def autoencoder(features, labels, mode):
8 | with tf.variable_scope("ae"):
9 | x = features["inputs"]
10 | data_shape = x.shape.as_list()
11 |
12 | if len(x.shape) > 2:
13 | x = tf.reshape(x, [params.batch_size, -1])
14 |
15 | data_size = x.shape.as_list()[1]
16 | for layer_width in params.enc_layers:
17 | x = tf.layers.dense(
18 | x,
19 | layer_width,
20 | activation=params.activation,
21 | kernel_initializer=tf.glorot_normal_initializer())
22 |
23 | for layer_width in params.dec_layers:
24 | x = tf.layers.dense(
25 | x,
26 | layer_width,
27 | activation=params.activation,
28 | kernel_initializer=tf.glorot_normal_initializer())
29 |
30 | x = tf.layers.dense(
31 | x,
32 | data_size,
33 | activation=params.activation,
34 | kernel_initializer=tf.glorot_normal_initializer())
35 |
36 | if mode == tf.contrib.learn.ModeKeys.TRAIN:
37 | x = tf.nn.dropout(x, 1 - params.dropout)
38 |
39 | x = tf.reshape(x, data_shape)
40 |
41 | if len(x.shape) == 4 and len(labels.shape) == 4:
42 | tf.summary.image("inp/rcn/tar",
43 | tf.concat([features["inputs"], x, labels], axis=2))
44 |
45 | mse_loss = tf.losses.mean_squared_error(labels, x)
46 | weight_reg = tf.add_n(
47 | [tf.nn.l2_loss(w) for w in tf.trainable_variables()])
48 | tf.summary.scalar("reconstr_err", mse_loss)
49 | total_loss = mse_loss + weight_reg * params.l2_loss
50 |
51 | gs = tf.contrib.framework.get_global_step()
52 |
53 | tf.summary.scalar("lr", lr)
54 | train_op = tf.contrib.layers.optimize_loss(
55 | name="training",
56 | loss=total_loss,
57 | global_step=gs,
58 | learning_rate=lr,
59 | clip_gradients=params.clip_grad_norm,
60 | optimizer=tf.contrib.estimator.TowerOptimizer(
61 | tf.train.AdamOptimizer(lr)),
62 | colocate_gradients_with_ops=True)
63 |
64 | return tf.estimator.EstimatorSpec(
65 | mode=mode, predictions=x, loss=total_loss, train_op=train_op)
66 |
67 | return autoencoder
--------------------------------------------------------------------------------
/example/train.py:
--------------------------------------------------------------------------------
1 | import tensorflow as tf
2 | import os.path
3 | import sys
4 |
5 | import cloud
6 |
7 | from model import get_autoencoder
8 | from data import get_mnist
9 |
10 |
11 | def main():
12 | run_config = tf.contrib.learn.RunConfig(save_checkpoints_steps=1000)
13 |
14 | hparams = tf.contrib.training.HParams(
15 | type="image",
16 | batch_size=64,
17 | learning_rate=0.01,
18 | lr_scheme="exp",
19 | delay=0,
20 | staircased=False,
21 | learning_rate_decay_interval=2000,
22 | learning_rate_decay_rate=0.1,
23 | clip_grad_norm=1.0,
24 | l2_loss=0.0,
25 | label_smoothing=0.1,
26 | init_scheme="random",
27 | warmup_steps=10000,
28 | encoder_depth=2,
29 | decoder_depth=2,
30 | hidden_size=100,
31 | is_ae=True,
32 | activation=tf.nn.sigmoid,
33 | enc_layers=[50, 50],
34 | dec_layers=[50],
35 | label_shape=[1],
36 | dropout=0,
37 | channels=1,
38 | input_shape=[28, 28, 1],
39 | output_shape=[28, 28, 1])
40 |
41 | train_input_fn = get_mnist("tmp/data", hparams, training=True)
42 | eval_input_fn = get_mnist("tmp/data", hparams, training=False)
43 |
44 | estimator = tf.estimator.Estimator(
45 | model_fn=get_autoencoder(hparams, 0.01),
46 | model_dir="tmp/run",
47 | config=run_config)
48 |
49 | estimator.train(train_input_fn, steps=100)
50 | estimator.evaluate(eval_input_fn, steps=10)
51 |
52 |
53 | if __name__ == "__main__":
54 | FLAGS = tf.app.flags.FLAGS
55 | cloud.connect()
56 | main()
57 | cloud.down()
--------------------------------------------------------------------------------
/setup.py:
--------------------------------------------------------------------------------
1 | from os import path
2 |
3 | from setuptools import find_packages, setup
4 |
5 | here = path.abspath(path.dirname(__file__))
6 |
7 | # Get the long description from the README file
8 | with open(path.join(here, 'README.md'), encoding='utf-8') as f:
9 | long_description = f.read()
10 |
11 | setup(name='dl-cloud',
12 | version='0.2.2',
13 | description='Cloud resource management for deep learning applications.',
14 | long_description=long_description,
15 | long_description_content_type='text/markdown',
16 | url='https://github.com/for-ai/cloud',
17 | author='FOR.ai',
18 | author_email='team@for.ai',
19 | classifiers=[
20 | 'Development Status :: 3 - Alpha',
21 | 'Intended Audience :: Developers',
22 | 'License :: OSI Approved :: MIT License',
23 | 'Programming Language :: Python :: 3.5',
24 | ],
25 | keywords='deep learning cloud',
26 | packages=find_packages(exclude=['contrib', 'docs', 'tests']),
27 | install_requires=['numpy', 'apache-libcloud', 'toml', "errand-boy", "filelock"])
28 |
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