| import torch | |
| import torch.nn as nn | |
| import torch.nn.functional as F | |
| import math | |
| class Config: | |
| embed_drop = 0.1 | |
| residual_drop = 0.1 | |
| attn_drop = 0.1 |
| { | |
| "dataset_reader": { | |
| "type": "conll2003", | |
| "token_indexers": { | |
| "tokens": { | |
| "type": "single_id", | |
| "lowercase_tokens": true | |
| }, | |
| "token_characters": { | |
| "type": "characters" |
| { | |
| "dataset_reader": { | |
| "type": "conll2003", | |
| "token_indexers": { | |
| "tokens": { | |
| "type": "single_id", | |
| "lowercase_tokens": true | |
| }, | |
| "token_characters": { | |
| "type": "characters" |
Memory Optimization (Christer Ericson, GDC 2003)
http://realtimecollisiondetection.net/pubs/GDC03_Ericson_Memory_Optimization.ppt
Cache coherency primer (Fabian Giesen)
https://fgiesen.wordpress.com/2014/07/07/cache-coherency/
Code Clinic 2015: How to Write Code the Compiler Can Actually Optimize (Mike Acton)
http://gdcvault.com/play/1021866/Code-Clinic-2015-How-to
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