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Alexander Borzunov 6137b1b4b0 Replace .make_sequence(..., mode="random") with mode="max_throughput" (#313) ... We need to sample the next server using its throughput as the weight to actually achieve max throughput for fine-tuning. As an example, imagine a situation where we have 3 servers with throughputs [1000, 500, 1] hosting the same blocks, then compare the uniform and weighted sampling strategies.		1 year ago
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scripts	Fix arguments in remove_old_models.py (#153)	1 year ago
conftest.py	Fix logging: do not duplicate lines, enable colors in Colab (#156)	1 year ago
test.id	Add automated tests (#23)	2 years ago
test_aux_functions.py	Speed up loading blocks using init with meta weights (#285)	1 year ago
test_block_exact_match.py	Refactor RemoteSequenceManager (#309)	1 year ago
test_chained_calls.py	Refactor RemoteSequenceManager (#309)	1 year ago
test_full_model.py	Speed up loading blocks using init with meta weights (#285)	1 year ago
test_priority_pool.py	Fix issues related to `petals` as a module (#159)	1 year ago
test_remote_sequential.py	Refactor RemoteSequenceManager (#309)	1 year ago
test_sequence_manager.py	Replace .make_sequence(..., mode="random") with mode="max_throughput" (#313)	1 year ago
test_server_stats.py	Refactor RemoteSequenceManager (#309)	1 year ago
test_tensor_parallel.py	Speed up loading blocks using init with meta weights (#285)	1 year ago
test_utils.py	Implement RemoteSequential slicing and extra repr, add tests (#30)	2 years ago