batch_idx
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
batch_idx has 6 facts recorded in Dontopedia across 3 references, with 1 live disagreement.
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (1)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
containsBatchIndexContains Batch Index(1)
- Logging Entry
ex:logging-entry
Other facts (5)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Loop Variable | [1] |
| Rdf:type | Logging Variable | [2] |
| Rdf:type | Integer | [3] |
| Is Provided by | Enumerate | [3] |
| Is Enumerated | true | [3] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (3)
ctx:claims/beam/f5a5540b-3c9d-4103-85d7-7db7b8ea25d3ctx:claims/beam/d37ddcd2-e87b-45fe-94fd-23a99f3a695e- full textbeam-chunktext/plain1 KB
doc:beam/d37ddcd2-e87b-45fe-94fd-23a99f3a695eShow excerpt
# Calculate average loss for the epoch avg_loss = running_loss / len(data_loader) print(f'Epoch [{epoch + 1}/100], Loss: {avg_loss:.4f}, LR: {optimizer.param_groups[0]["lr"]}') # Step the scheduler s…
ctx:claims/beam/b37d3f65-b489-4a88-aa05-62e2c014851e- full textbeam-chunktext/plain1 KB
doc:beam/b37d3f65-b489-4a88-aa05-62e2c014851eShow excerpt
import torch import torch.nn as nn import torch.optim as optim from torch.utils.data import DataLoader, TensorDataset from torch.cuda.amp import GradScaler, autocast # Initialize PyTorch model model = nn.Sequential( nn.Linear(128, 128)…
See also
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