it occur a error when read weights.h5py

[ttjjlw]

    with h5py.File(weight_file, 'r') as fin:
        if varname_in_file == 'char_embed':
            # Have added a special 0 index for padding not present
            # in the original model.
            char_embed_weights = fin[varname_in_file][...]
            weights = np.zeros(
                (char_embed_weights.shape[0] + 1,
                 char_embed_weights.shape[1]),
                dtype=DTYPE
            )
            weights[1:, :] = char_embed_weights
        else:
            weights = fin[varname_in_file][...]

'but occur a error: '

File "D:\localE\code\daguang_extract\daguan_elmo_ner-master\daguan_elmo_ner-master\bilm\model.py", line 225, in _pretrained_initializer
    weights = fin[varname_in_file][...]
  File "h5py\_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
  File "h5py\_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
  File "D:\Python_\lib\site-packages\h5py\_hl\group.py", line 264, in __getitem__
    oid = h5o.open(self.id, self._e(name), lapl=self._lapl)
  File "h5py\_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
  File "h5py\_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
  File "h5py\h5o.pyx", line 190, in h5py.h5o.open
KeyError: 'Unable to open object (component not found)'

options.json : {"lstm": {"proj_clip": 3, "projection_dim": 512, "n_layers": 3, "dim": 4096, "use_skip_connections": true, "cell_clip": 3}, "n_negative_samples_batch": 8192, "n_train_tokens": 94268535, "dropout": 0.1, "n_epochs": 50, "all_clip_norm_val": 10.0, "bidirectional": true, "unroll_steps": 20, "batch_size": 128, "n_tokens_vocab": 21206, "char_cnn": {"filters": [[1, 32], [2, 32], [3, 64], [4, 128], [5, 256], [6, 512], [7, 1024]], "n_highway": 2, "activation": "relu", "max_characters_per_token": 7, "n_characters": 262, "embedding": {"dim": 16}}}