def test_export_load():
# with none as save config
c1 = Collection(
"default",
include_regex=["conv2d"],
tensor_names=["a", "b"],
reduction_config=ReductionConfig(),
)
c2 = Collection.from_json(c1.to_json())
assert c1 == c2
assert c1.tensor_names == c2.tensor_names
assert isinstance(c2.tensor_names, set)
def test_export_load_dict_save_config():
c1 = Collection(
"default",
include_regex=["conv2d"],
reduction_config=ReductionConfig(),
save_config=SaveConfig({
ModeKeys.TRAIN: SaveConfigMode(save_interval=10),
ModeKeys.EVAL: SaveConfigMode(start_step=1),
}),
)
c2 = Collection.from_json(c1.to_json())
assert c1 == c2
assert c1.to_json_dict() == c2.to_json_dict()
def test_manager_export_load():
cm = CollectionManager()
cm.create_collection("default")
cm.get("default").include("loss")
cm.add(Collection("trial1"))
cm.add("trial2")
cm.get("trial2").include("total_loss")
cm.export("/tmp/dummy_trial", DEFAULT_COLLECTIONS_FILE_NAME)
cm2 = CollectionManager.load(
os.path.join(get_path_to_collections("/tmp/dummy_trial"),
DEFAULT_COLLECTIONS_FILE_NAME))
assert cm == cm2
def test_manager():
cm = CollectionManager()
cm.create_collection("default")
cm.get("default").include("loss")
cm.get("default").add_tensor_name("assaas")
cm.add(Collection("trial1"))
cm.add("trial2")
cm.get("trial2").include("total_loss")
assert len(cm.collections) == 3
assert cm.get("default") == cm.collections["default"]
assert "loss" in cm.get("default").include_regex
assert len(cm.get("default").tensor_names) > 0
assert "total_loss" in cm.collections["trial2"].include_regex
def write_dummy_collection_file(trial):
cm = CollectionManager()
cm.create_collection("default")
cm.add(Collection(trial))
cm.export(trial, DEFAULT_COLLECTIONS_FILE_NAME)
def test_load_empty():
c = Collection("trial")
assert c == Collection.from_json(c.to_json())