Add distributed training support with dask
Also fixes #87 (closed)
Edited by Amir MOHAMMADI
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assigned to @amohammadi and unassigned @tiago.pereira
added 2 commits
added 6 commits
- 2b79cb39 - explicitly use nccl
- 44d5075f - Allow turning batch norm scale off
- 2e56ab7b - The whole arcface layer is 32bit in insightface pytorch code
- 9aba8dd6 - remove large batch resnet50 (was not used)
- ed1cfca0 - Change debug logging to info logging
- 452ba28d - Add iresnet models based on insightface arcface pytorch code
Toggle commit listadded 21 commits
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8f1b8d37...f420d1b3 - 5 commits from branch
master
- 26bda0a1 - [generator] remove use of deprecated arguments
- 9713d207 - multioutput models can be used instead of embedding validation models
- 0c69180a - Add distributed training support with dask
- 19eebcbb - allow changing batch norm params
- 5134f865 - Add a large-batch friendly resnet 50
- 3d12e501 - explicitly use nccl
- d6236129 - Allow turning batch norm scale off
- c7e244ad - The whole arcface layer is 32bit in insightface pytorch code
- 5fde2bb8 - remove large batch resnet50 (was not used)
- c637ed8f - Change debug logging to info logging
- 5ac8a643 - Add iresnet models based on insightface arcface pytorch code
- 6fba84cd - improve intellisense
- 2c76437d - implement get_config for arcface layers
- 48e384a5 - Add a mirrored strategy
- c7412ca2 - Fix arcface tests
- 795c81a5 - [docs] less picky sphinx settings
Toggle commit list-
8f1b8d37...f420d1b3 - 5 commits from branch
requested review from @tiago.pereira
mentioned in commit dc4c3981
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