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test_Trainer.py
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45 lines (29 loc) · 1.13 KB
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import tensorflow as tf
import Trainer
kang_day_1 = './kang/day01/Center/data.mat'
kang_day_2 = './kang/day02/Center/data.mat'
def setup_function(fnc):
tf.reset_default_graph()
def test_sanity_trainer_build():
Trainer.Trainer([kang_day_1], batch_size=1)
def test_training_single_step_sanity():
trainer = Trainer.Trainer([kang_day_1], batch_size=1)
trainer.train(1)
def test_training_step_with_saving(tmpdir):
trainer = Trainer.Trainer([kang_day_1],
batch_size=1,
save_dest=str(tmpdir.join("test_model")))
trainer.train(1)
def test_multiple_files():
trainer = Trainer.Trainer([kang_day_1, kang_day_2],
batch_size=1)
trainer.train(1)
def test_mulitple_training_steps():
trainer = Trainer.Trainer([kang_day_1], batch_size=1)
trainer.train(5)
def test_eval_loop(tmpdir):
trainer = Trainer.Trainer([kang_day_1], batch_size=1,
eval_loop=True, save_dest=str(tmpdir.join("test_model")))
trainer.evaluate(num_evals=1,
eval_secs=1,
timeout=1)