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			Change dgpu submodules classes name per fomos suggestion
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				|  | @ -4,21 +4,21 @@ from hypercorn.config import Config | |||
| from hypercorn.trio import serve | ||||
| from quart_trio import QuartTrio as Quart | ||||
| 
 | ||||
| from skynet.dgpu.compute import SkynetMM | ||||
| from skynet.dgpu.daemon import SkynetDGPUDaemon | ||||
| from skynet.dgpu.network import SkynetGPUConnector | ||||
| from skynet.dgpu.compute import ModelMngr | ||||
| from skynet.dgpu.daemon import WorkerDaemon | ||||
| from skynet.dgpu.network import NetConnector | ||||
| 
 | ||||
| 
 | ||||
| async def open_dgpu_node(config: dict) -> None: | ||||
|     ''' | ||||
|     Open a top level "GPU mgmt daemon", keep the | ||||
|     `SkynetDGPUDaemon._snap: dict[str, list|dict]` table | ||||
|     `WorkerDaemon._snap: dict[str, list|dict]` table | ||||
|     and *maybe* serve a `hypercorn` web API. | ||||
| 
 | ||||
|     ''' | ||||
|     conn = SkynetGPUConnector(config) | ||||
|     mm = SkynetMM(config) | ||||
|     daemon = SkynetDGPUDaemon(mm, conn, config) | ||||
|     conn = NetConnector(config) | ||||
|     mm = ModelMngr(config) | ||||
|     daemon = WorkerDaemon(mm, conn, config) | ||||
| 
 | ||||
|     api: Quart|None = None | ||||
|     if 'api_bind' in config: | ||||
|  |  | |||
|  | @ -66,8 +66,7 @@ def prepare_params_for_diffuse( | |||
|     ) | ||||
| 
 | ||||
| 
 | ||||
| # TODO, yet again - drop the redundant prefix ;) | ||||
| class SkynetMM: | ||||
| class ModelMngr: | ||||
|     ''' | ||||
|     (AI algo) Model manager for loading models, computing outputs, | ||||
|     checking load state, and unloading when no-longer-needed/finished. | ||||
|  |  | |||
|  | @ -17,8 +17,8 @@ from skynet.constants import ( | |||
| from skynet.dgpu.errors import ( | ||||
|     DGPUComputeError, | ||||
| ) | ||||
| from skynet.dgpu.compute import SkynetMM | ||||
| from skynet.dgpu.network import SkynetGPUConnector | ||||
| from skynet.dgpu.compute import ModelMngr | ||||
| from skynet.dgpu.network import NetConnector | ||||
| 
 | ||||
| 
 | ||||
| def convert_reward_to_int(reward_str): | ||||
|  | @ -29,8 +29,7 @@ def convert_reward_to_int(reward_str): | |||
|     return int(int_part + decimal_part) | ||||
| 
 | ||||
| 
 | ||||
| # prolly don't need the `Skynet` prefix since that's kinda implied ;p | ||||
| class SkynetDGPUDaemon: | ||||
| class WorkerDaemon: | ||||
|     ''' | ||||
|     The root "GPU daemon". | ||||
| 
 | ||||
|  | @ -40,12 +39,12 @@ class SkynetDGPUDaemon: | |||
|     ''' | ||||
|     def __init__( | ||||
|         self, | ||||
|         mm: SkynetMM, | ||||
|         conn: SkynetGPUConnector, | ||||
|         mm: ModelMngr, | ||||
|         conn: NetConnector, | ||||
|         config: dict | ||||
|     ): | ||||
|         self.mm: SkynetMM = mm | ||||
|         self.conn: SkynetGPUConnector = conn | ||||
|         self.mm: ModelMngr = mm | ||||
|         self.conn: NetConnector = conn | ||||
|         self.auto_withdraw = ( | ||||
|             config['auto_withdraw'] | ||||
|             if 'auto_withdraw' in config else False | ||||
|  | @ -147,7 +146,7 @@ class SkynetDGPUDaemon: | |||
| 
 | ||||
|     # TODO? this func is kinda big and maybe is better at module | ||||
|     # level to reduce indentation? | ||||
|     # -[ ] just pass `daemon: SkynetDGPUDaemon` vs. `self` | ||||
|     # -[ ] just pass `daemon: WorkerDaemon` vs. `self` | ||||
|     async def maybe_serve_one( | ||||
|         self, | ||||
|         req: dict, | ||||
|  | @ -271,7 +270,7 @@ class SkynetDGPUDaemon: | |||
| 
 | ||||
|     # TODO, as per above on `.maybe_serve_one()`, it's likely a bit | ||||
|     # more *trionic* to define this all as a module level task-func | ||||
|     # which operates on a `daemon: SkynetDGPUDaemon`? | ||||
|     # which operates on a `daemon: WorkerDaemon`? | ||||
|     # | ||||
|     # -[ ] keeps tasks-as-funcs style prominent | ||||
|     # -[ ] avoids so much indentation due to methods | ||||
|  |  | |||
|  | @ -46,10 +46,7 @@ async def failable(fn: partial, ret_fail=None): | |||
|             return o.unwrap() | ||||
| 
 | ||||
| 
 | ||||
| # TODO, again the prefix XD | ||||
| # -[ ] better name then `GPUConnector` ?? | ||||
| # |_ `Compute[Net]IO[Mngr]` | ||||
| class SkynetGPUConnector: | ||||
| class NetConnector: | ||||
|     ''' | ||||
|     An API for connecting to and conducting various "high level" | ||||
|     network-service operations in the skynet. | ||||
|  |  | |||
|  | @ -24,17 +24,17 @@ def cleos(): | |||
| 
 | ||||
| @pytest.fixture(scope='session') | ||||
| def dgpu(): | ||||
|     from skynet.dgpu.network import SkynetGPUConnector | ||||
|     from skynet.dgpu.compute import SkynetMM | ||||
|     from skynet.dgpu.daemon import SkynetDGPUDaemon | ||||
|     from skynet.dgpu.network import NetConnector | ||||
|     from skynet.dgpu.compute import ModelMngr | ||||
|     from skynet.dgpu.daemon import WorkerDaemon | ||||
| 
 | ||||
|     config = load_skynet_toml(file_path='skynet.toml') | ||||
|     hf_token = load_key(config, 'skynet.dgpu.hf_token') | ||||
|     hf_home = load_key(config, 'skynet.dgpu.hf_home') | ||||
|     set_hf_vars(hf_token, hf_home) | ||||
|     config = config['skynet']['dgpu'] | ||||
|     conn = SkynetGPUConnector(config) | ||||
|     mm = SkynetMM(config) | ||||
|     daemon = SkynetDGPUDaemon(mm, conn, config) | ||||
|     conn = NetConnector(config) | ||||
|     mm = ModelMngr(config) | ||||
|     daemon = WorkerDaemon(mm, conn, config) | ||||
| 
 | ||||
|     yield conn, mm, daemon | ||||
|  |  | |||
|  | @ -1,6 +1,6 @@ | |||
| import json | ||||
| 
 | ||||
| from skynet.dgpu.compute import SkynetMM | ||||
| from skynet.dgpu.compute import ModelMngr | ||||
| from skynet.constants import * | ||||
| from skynet.config import * | ||||
| 
 | ||||
|  |  | |||
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