Function convert_to_tensor

utils/commons/tensor_utils.py:65–81

(arrays)

def convert_to_tensor(arrays):
    if isinstance(arrays, np.ndarray):
        v = torch.from_numpy(arrays).float()
        ret = v
    elif isinstance(arrays, torch.Tensor):
        ret = arrays
    elif isinstance(arrays, list):
        v = torch.from_numpy(np.array(arrays)).float()
    elif type(arrays) is dict:
        ret = {}
        for k, v in arrays.items():
            if isinstance(v, np.ndarray):
                v = torch.from_numpy(v).float()
            if type(v) is dict:
                v = convert_to_tensor(v)
            ret[k] = v
    return ret

def convert_like(inp, target):
    if isinstance(target, np.ndarray):