Making large AI models cheaper, faster and more accessible
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ver217 7d14b473f0
[gemini] gemini mgr supports "cpu" placement policy (#1118)
2 years ago
..
amp [amp] included dict for type casting of model output (#1102) 2 years ago
builder [pipeline] refactor the pipeline module (#1087) 2 years ago
cli
communication
context
engine [pipeline] supported more flexible dataflow control for pipeline parallel training (#1108) 2 years ago
fx [fx] added coloproxy (#1115) 2 years ago
gemini [gemini] gemini mgr supports "cpu" placement policy (#1118) 2 years ago
kernel
logging
nn [gemini] gemini mgr supports "cpu" placement policy (#1118) 2 years ago
pipeline [pipeline] refactor the pipeline module (#1087) 2 years ago
registry
tensor [gemini] gemini mgr supports "cpu" placement policy (#1118) 2 years ago
testing
trainer
utils [pipeline] refactor the pipeline module (#1087) 2 years ago
zero [zero] fixed api consistency (#1098) 2 years ago
__init__.py
constants.py
core.py
global_variables.py
initialize.py