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unit tests for generating sweep configurations
"""
from axolotl.cli.main import generate_sweep_configs
def test_generate_sweep_configs_no_pairs():
base_config = {
"learning_rate": 0.1,
"micro_batch_size": 1,
"sample_packing": True,
}
sweeps_config = {"micro_batch_size": [1, 2, 4], "weight_decay": [0.0, 0.1]}
generate_sweep_configs(base_config, sweeps_config)
assert len(generate_sweep_configs(base_config, sweeps_config)) == 6
cfg_1 = {
"learning_rate": 0.1,
"micro_batch_size": 2,
"weight_decay": 0.0,
"sample_packing": True,
}
assert any(
cfg_1 == cfg for cfg in generate_sweep_configs(base_config, sweeps_config)
)
def test_generate_sweep_configs_with_pairs():
base_config = {
"learning_rate": 0.1,
"micro_batch_size": 1,
"sample_packing": True,
}
sweeps_config = {
"_": [
{
"micro_batch_size": 1,
"gradient_accumulation_steps": 8,
},
{
"micro_batch_size": 2,
"gradient_accumulation_steps": 4,
},
{
"micro_batch_size": 4,
"gradient_accumulation_steps": 2,
},
{
"micro_batch_size": 8,
"gradient_accumulation_steps": 1,
},
],
"weight_decay": [0.0, 0.1],
}
generate_sweep_configs(base_config, sweeps_config)
assert len(generate_sweep_configs(base_config, sweeps_config)) == 8
assert all(
cfg["gradient_accumulation_steps"] * cfg["micro_batch_size"] == 8
for cfg in generate_sweep_configs(base_config, sweeps_config)
)
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