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jbilcke-hf HF Staff
we are going to hack into finetrainers
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A newer version of the Gradio SDK is available: 5.35.0

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Running tests

TODO(aryan): everything here needs to be improved.

trainer/ fast tests

  • For SFT tests: test_sft_trainer.py
  • For Control tests: test_control_trainer.py

Accelerate:

# world_size=1 tests
accelerate launch --config_file accelerate_configs/uncompiled_1.yaml -m pytest -s tests/trainer/test_sft_trainer.py -k "test___dp_degree_1___batch_size_1 and ___Accelerate"
accelerate launch --config_file accelerate_configs/uncompiled_1.yaml -m pytest -s tests/trainer/test_sft_trainer.py -k "test___layerwise_upcasting___dp_degree_1___batch_size_1 and ___Accelerate"

# world_size=2 tests
accelerate launch --config_file accelerate_configs/uncompiled_2.yaml -m pytest -s tests/trainer/test_sft_trainer.py -k "test___dp_degree_2___batch_size_1 and ___Accelerate"

PTD:

# world_size=1 tests
torchrun --nnodes=1 --nproc_per_node 1 -m pytest -s tests/trainer/test_sft_trainer.py -k "test___dp_degree_1___batch_size_1 and ___PTD"
torchrun --nnodes=1 --nproc_per_node 1 -m pytest -s tests/trainer/test_sft_trainer.py -k "test___layerwise_upcasting___dp_degree_1___batch_size_1 and ___PTD"
torchrun --nnodes=1 --nproc_per_node 1 -m pytest -s tests/trainer/test_sft_trainer.py -k "test___dp_degree_1___batch_size_2 and ___PTD"

# world_size=2 tests
torchrun --nnodes=1 --nproc_per_node 2 -m pytest -s tests/trainer/test_sft_trainer.py -k "test___dp_degree_2___batch_size_1 and ___PTD"
torchrun --nnodes=1 --nproc_per_node 2 -m pytest -s tests/trainer/test_sft_trainer.py -k "test___layerwise_upcasting___dp_degree_2___batch_size_1 and ___PTD"
torchrun --nnodes=1 --nproc_per_node 2 -m pytest -s tests/trainer/test_sft_trainer.py -k "test___dp_degree_2___batch_size_2 and ___PTD"
torchrun --nnodes=1 --nproc_per_node 2 -m pytest -s tests/trainer/test_sft_trainer.py -k "test___dp_shards_2___batch_size_1 and ___PTD"
torchrun --nnodes=1 --nproc_per_node 2 -m pytest -s tests/trainer/test_sft_trainer.py -k "test___dp_shards_2___batch_size_2 and ___PTD"
torchrun --nnodes=1 --nproc_per_node 2 -m pytest -s tests/trainer/test_sft_trainer.py -k "test___tp_degree_2___batch_size_2 and ___PTD"
torchrun --nnodes=1 --nproc_per_node 2 -m pytest -s tests/trainer/test_sft_trainer.py -k "test___cp_degree_2___batch_size_1 and ___PTD"

# world_size=4 tests
torchrun --nnodes=1 --nproc_per_node 4 -m pytest -s tests/trainer/test_sft_trainer.py -k "test___dp_degree_2___dp_shards_2___batch_size_1 and ___PTD"
torchrun --nnodes=1 --nproc_per_node 4 -m pytest -s tests/trainer/test_sft_trainer.py -k "test___dp_degree_2___cp_degree_2___batch_size_1 and ___PTD"

CP tests

PTD:

# world_size=2 tests
torchrun --nnodes 1 --nproc_per_node 2 -m pytest -s tests/models/attention_dispatch.py::RingAttentionCP2Test

# world_size=4 tests
torchrun --nnodes 1 --nproc_per_node 4 -m pytest -s tests/models/attention_dispatch.py::RingAttentionCP4Test