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Improve parallel map

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This commit is contained in:
Andras Schmelczer 2022-06-29 09:14:35 +02:00
parent 3a8d357e3c
commit 3e393bf362
3 changed files with 30 additions and 19 deletions
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41
docs/map.ipynb
View file

@ -4,7 +4,16 @@
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/data/projects/great_ai/.env/lib/python3.10/site-packages/tqdm/auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
" from .autonotebook import tqdm as notebook_tqdm\n"
]
}
],
"source": [
"from great_ai.utilities import parallel_map"
]
@ -18,17 +27,19 @@
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[38;5;39m2022-06-28 18:10:31,043 | INFO | Parallel map: configured ✅\u001b[0m\n",
"\u001b[38;5;39m2022-06-28 18:10:31,044 | INFO | ⚙️ concurrency: 12\u001b[0m\n",
"\u001b[38;5;39m2022-06-28 18:10:31,045 | INFO | ⚙️ chunk length: 8334\u001b[0m\n",
"\u001b[38;5;39m2022-06-28 18:10:31,045 | INFO | ⚙️ chunk count: 120\u001b[0m\n",
"\u001b[38;5;39m2022-06-28 18:10:31,046 | INFO | ⚙️ function size: 0 kB\u001b[0m\n",
"Parallel map: 100%|██████████| 1000000/1000000 [00:05<00:00, 181294.86it/s]\n"
"\u001b[38;5;39m2022-06-29 09:11:18,070 | INFO | Parallel map: configured ✅\u001b[0m\n",
"\u001b[38;5;39m2022-06-29 09:11:18,071 | INFO | ⚙️ concurrency: 200\u001b[0m\n",
"\u001b[38;5;39m2022-06-29 09:11:18,071 | INFO | ⚙️ chunk length: 1\u001b[0m\n",
"\u001b[38;5;39m2022-06-29 09:11:18,071 | INFO | ⚙️ chunk count: 1000\u001b[0m\n",
"\u001b[38;5;39m2022-06-29 09:11:18,072 | INFO | ⚙️ function size: 0 kB\u001b[0m\n",
"Parallel map: 100%|██████████| 1000/1000 [00:00<00:00, 1345.90it/s]\n"
]
}
],
"source": [
"parallel_map(lambda x: x**3, range(int(1e6)))\n",
"from time import sleep\n",
"\n",
"parallel_map(lambda x: sleep(0.1), range(int(1000)), concurrency=200)\n",
"None"
]
},
@ -41,12 +52,12 @@
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[38;5;39m2022-06-28 18:10:36,757 | INFO | Parallel map: configured ✅\u001b[0m\n",
"\u001b[38;5;39m2022-06-28 18:10:36,758 | INFO | ⚙️ concurrency: 12\u001b[0m\n",
"\u001b[38;5;39m2022-06-28 18:10:36,759 | INFO | ⚙️ chunk length: 1\u001b[0m\n",
"\u001b[38;5;39m2022-06-28 18:10:36,759 | INFO | ⚙️ chunk count: unknown\u001b[0m\n",
"\u001b[38;5;39m2022-06-28 18:10:36,760 | INFO | ⚙️ function size: 0 kB\u001b[0m\n",
"Parallel map: 10it [00:21, 2.11s/it]\n"
"\u001b[38;5;39m2022-06-29 09:11:20,399 | INFO | Parallel map: configured ✅\u001b[0m\n",
"\u001b[38;5;39m2022-06-29 09:11:20,401 | INFO | ⚙️ concurrency: 12\u001b[0m\n",
"\u001b[38;5;39m2022-06-29 09:11:20,401 | INFO | ⚙️ chunk length: 1\u001b[0m\n",
"\u001b[38;5;39m2022-06-29 09:11:20,402 | INFO | ⚙️ chunk count: unknown\u001b[0m\n",
"\u001b[38;5;39m2022-06-29 09:11:20,403 | INFO | ⚙️ function size: 0 kB\u001b[0m\n",
"Parallel map: 10it [00:02, 4.93it/s]\n"
]
},
{
@ -67,7 +78,7 @@
"def my_generator():\n",
" for i in range(10):\n",
" yield i\n",
" sleep(2)\n",
" sleep(0.2)\n",
"\n",
"\n",
"parallel_map(lambda x: x**3, my_generator(), chunk_length=1)"

6
src/great_ai/utilities/parallel_map/parallel_map.py
View file

@ -68,12 +68,13 @@ def parallel_map(
desc="Parallel map",
disable=disable_progress_bar,
total=config.input_length,
miniters=1,
)
]
ctx = mp.get_context("spawn")
start_methods = mp.get_all_start_methods()
ctx = mp.get_context("fork") if "fork" in start_methods else mp.get_context("spawn")
ctx.freeze_support()
input_queue = ctx.Queue(0 if config.chunk_count is None else config.chunk_count)
output_queue = ctx.Queue(0 if config.chunk_count is None else config.chunk_count)
should_stop = ctx.Event()
@ -99,7 +100,6 @@ def parallel_map(
desc="Parallel map",
disable=disable_progress_bar,
total=config.input_length,
miniters=1,
)
chunks = iter(chunk(enumerate(input_values), chunk_length=config.chunk_length))

2
src/great_ai/utilities/parallel_map/parallel_map_configuration.py
View file

@ -14,7 +14,7 @@ class ParallelMapConfiguration(BaseModel):
input_length: Optional[int]
serialized_map_function: bytes
def pretty_print(self, prefix=" ⚙️"):
def pretty_print(self, prefix=" ⚙️ "):
logger.info(f"{prefix} concurrency: {self.concurrency}")
logger.info(f"{prefix} chunk length: {self.chunk_length}")
logger.info(