Examples: `query`, `"exact match"`, `wildcard*`, `wild?ard`, `wild*rd`
Fuzzy search: `cake~` (finds `cakes`, `bake`)
Term boost: `"red velvet"^4`, `chocolate^2`
Field grouping: `tags:(+work -"fun-stuff")`
Escaping: Escape characters `+-&|!(){}[]^"~*?:\` with `\`, e.g. `\+`
Range search: `properties.timestamp:[1587729413488 TO *]` (inclusive), `properties.title:{A TO Z}`(excluding A and Z)
Combinations: `chocolate AND vanilla`, `chocolate OR vanilla`, `(chocolate OR vanilla) NOT "vanilla pudding"`
Field search: `properties.title:"The Title" AND text`
What Exactly Triggers The "Automagic" Logging Of The Model And Weights? I'Ve Pulled My Simple Test Project Out Of Jupyter Lab And The Same Problem Still Exists, So It Isn'T A Jupyter Lab Issues. A Few Things Log, But Never The Model

Hi RoundMole15 ! Are you able to see a model logged when you run this simple example?
import torch.nn.functional as F
import torch.nn as nn
import torch
class TheModelClass(nn.Module):
def init(self):
super(TheModelClass, self).init()
self.conv1 = nn.Conv2d(3, 6, 5)
self.pool = nn.MaxPool2d(2, 2)
self.conv2 = nn.Conv2d(6, 16, 5)
self.fc1 = nn.Linear(16 * 5 * 5, 120)
self.fc2 = nn.Linear(120, 84)
self.fc3 = nn.Linear(84, 10)
def forward(self, x):
x = self.pool(F.relu(self.conv1(x)))
x = self.pool(F.relu(self.conv2(x)))
x = x.view(-1, 16 * 5 * 5)
x = F.relu(self.fc1(x))
x = F.relu(self.fc2(x))
x = self.fc3(x)
return x

# Initialize model

model = TheModelClass()