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import torch | |
from torch.nn.utils.rnn import PackedSequence | |
from typing import overload, Optional | |
class Base(torch.nn.Module): | |
def __init__(self): | |
super().__init__() | |
@overload | |
@torch._jit_internal._overload_method | |
def forward(self, inputs, hx=None): |
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float: | |
any: | |
- base_args: ['@metric'] | |
constructor: PGEmbedding | |
disabled: false | |
docker_tag: ann-benchmarks-pg_embedding_hnsw | |
module: ann_benchmarks.algorithms.pg_embedding_hnsw | |
name: pg_embedding_hnsw | |
run_groups: | |
M-12: |