def function_load(fun, directory, filename, suffix=None):
if suffix is not None:
filename = filename + "." + str(suffix)
file_exists = NumpyIO.exists_file(directory, filename)
if file_exists:
vec = NumpyIO.load_file(directory, filename)
fun.vector()[:] = vec
return file_exists
def tensor_load(tensor, directory, filename):
if NumpyIO.exists_file(directory, filename):
loaded = NumpyIO.load_file(directory, filename)
assert len(loaded.shape) in (1, 2)
if len(loaded.shape) == 1:
tensor[:] = loaded
elif len(loaded.shape) == 2:
tensor[:, :] = loaded
else:
raise ValueError("Invalid tensor shape")
else:
raise OSError
def tensor_save(tensor, directory, filename):
NumpyIO.save_file(tensor, directory, filename)
def function_save(fun, directory, filename, suffix=None):
if suffix is not None:
filename = filename + "." + str(suffix)
NumpyIO.save_file(fun.vector(), directory, filename)