a21861f99e3dc4b778fd776b3e8e00dbaee988ca,common/models/encoder/blstm_cnn_specaug.py,,make_net,#,12

Before Change

  }

  // Add encoder BLSTM stack.
  if len(time_reduction) > num_layers - 1:
    time_reduction = [int(numpy.prod(time_reduction))]
  src = "conv_merged"
  opts = {"n_out": lstm_dim, "L2": l2}  // type: Dict[str, Any]
  if rec_weight_dropout:
    opts.setdefault("unit_opts", {})["rec_weight_dropout"] = rec_weight_dropout

After Change

  }

  // Add encoder BLSTM stack.
  if isinstance(time_reduction, int):
    n = time_reduction
    time_reduction = []
    for i in range(2, n + 1):
      while n % i == 0:
        time_reduction.insert(0, i)
        n //= i
      if n <= 1:
        break
  assert isinstance(time_reduction, (tuple, list))
  while len(time_reduction) > num_layers - 1:
    time_reduction[:2] = [time_reduction[0] * time_reduction[1]]
  src = "conv_merged"

Instances