import pytest | |
from tests.helpers.run_command import run_command | |
from tests.helpers.runif import RunIf | |
""" | |
A couple of sanity checks to make sure the model doesn't crash with different running options. | |
""" | |
def test_fast_dev_run(): | |
"""Test running for 1 train, val and test batch.""" | |
command = ["train.py", "++trainer.fast_dev_run=true"] | |
run_command(command) | |
def test_cpu(): | |
"""Test running 1 epoch on CPU.""" | |
command = ["train.py", "++trainer.max_epochs=1", "++trainer.gpus=0"] | |
run_command(command) | |
# use RunIf to skip execution of some tests, e.g. when no gpus are available | |
def test_gpu(): | |
"""Test running 1 epoch on GPU.""" | |
command = [ | |
"train.py", | |
"++trainer.max_epochs=1", | |
"++trainer.gpus=1", | |
] | |
run_command(command) | |
def test_mixed_precision(): | |
"""Test running 1 epoch with pytorch native automatic mixed precision (AMP).""" | |
command = [ | |
"train.py", | |
"++trainer.max_epochs=1", | |
"++trainer.gpus=1", | |
"++trainer.precision=16", | |
] | |
run_command(command) | |
def test_double_validation_loop(): | |
"""Test running 1 epoch with validation loop twice per epoch.""" | |
command = [ | |
"train.py", | |
"++trainer.max_epochs=1", | |
"++trainer.val_check_interval=0.5", | |
] | |
run_command(command) | |