def test_refresh_tensors():
trial_name = str(uuid.uuid4())
path = f"s3://smdebug-testing/outputs/rules_refresh_tensors-{uuid.uuid4()}/"
num_steps = 8
num_tensors = 10
for i in range(1, num_steps, 2):
generate_data(
path=path,
trial=trial_name,
num_tensors=num_tensors,
step=i,
tname_prefix="foo",
worker="algo-1",
shape=(3, 3, 3),
)
tr = create_trial(path + trial_name)
assert len(tr.steps()) == 4
with pytest.raises(TensorUnavailable):
tr.tensor("bar")
assert tr.tensor("foo_1") is not None
# available
assert tr.tensor("foo_1").value(num_steps - 1) is not None
# not saved
with pytest.raises(StepUnavailable):
tr.tensor("foo_1").value(num_steps - 2)
for i in range(num_steps, num_steps * 2):
if i % 2 == 0:
continue
generate_data(
path=path,
trial=trial_name,
num_tensors=num_tensors,
step=i,
tname_prefix="foo",
worker="algo-1",
shape=(3, 3, 3),
)
# refreshed
assert tr.tensor("foo_1").value(num_steps + 1) is not None
with pytest.raises(StepUnavailable):
tr.tensor("foo_1").value(num_steps)
with pytest.raises(StepNotYetAvailable):
tr.tensor("foo_1").value(num_steps * 3)
def test_creation_s3():
trial_name = str(uuid.uuid4())
path = f"s3://smdebug-testing/outputs/rules-{uuid.uuid4()}/"
num_steps = 8
num_tensors = 10
for i in range(num_steps):
generate_data(
path=path,
trial=trial_name,
num_tensors=num_tensors,
step=i,
tname_prefix="foo",
worker="algo-1",
shape=(3, 3, 3),
)
tr = create_trial(path + trial_name, range_steps=(0, 5))
assert len(tr.steps()) == 5
def test_creation_local():
trial_name = str(uuid.uuid4())
path = "ts_output/train/"
num_steps = 20
num_tensors = 10
for i in range(num_steps):
generate_data(
path=path,
trial=trial_name,
num_tensors=num_tensors,
step=i,
tname_prefix="foo",
worker="algo-1",
shape=(3, 3, 3),
)
tr = create_trial(path + "/" + trial_name, range_steps=(0, 5))
assert len(tr.steps()) == 5
