tf.raw_ops.BlockLSTMV2

Computes the LSTM cell forward propagation for all the time steps.

tf.raw_ops.BlockLSTMV2(
    seq_len_max, x, cs_prev, h_prev, w, wci, wcf, wco, b, cell_clip=0,
    use_peephole=False, name=None
)

This is equivalent to applying LSTMBlockCell in a loop, like so:

for x1 in unpack(x):
  i1, cs1, f1, o1, ci1, co1, h1 = LSTMBlock(
    x1, cs_prev, h_prev, w, wci, wcf, wco, b)
  cs_prev = cs1
  h_prev = h1
  i.append(i1)
  cs.append(cs1)
  f.append(f1)
  o.append(o1)
  ci.append(ci1)
  co.append(co1)
  h.append(h1)
return pack(i), pack(cs), pack(f), pack(o), pack(ci), pack(ch), pack(h)

Note that unlike LSTMBlockCell (and BlockLSTM) which uses ICFO gate layout,
this op uses IFCO. So in order for the following snippet to be equivalent
all gate-related outputs should be reordered.

seq_len_max A Tensor of type int64. Maximum time length actually used by this input. Outputs are padded with zeros beyond this length.
x A Tensor. Must be one of the following types: half, float32. The sequence input to the LSTM, shape (timelen, batch_size, num_inputs).
cs_prev A Tensor. Must have the same type as x. Value of the initial cell state.
h_prev A Tensor. Must have the same type as x. Initial output of cell (to be used for peephole).
w A Tensor. Must have the same type as x. The weight matrix.
wci A Tensor. Must have the same type as x. The weight matrix for input gate peephole connection.
wcf A Tensor. Must have the same type as x. The weight matrix for forget gate peephole connection.
wco A Tensor. Must have the same type as x. The weight matrix for output gate peephole connection.
b A Tensor. Must have the same type as x. The bias vector.
cell_clip An optional float. Defaults to 0. Value to clip the 'cs' value to.
use_peephole An optional bool. Defaults to False. Whether to use peephole weights.
name A name for the operation (optional).

A tuple of Tensor objects (i, cs, f, o, ci, co, h).
i A Tensor. Has the same type as x.
cs A Tensor. Has the same type as x.
f A Tensor. Has the same type as x.
o A Tensor. Has the same type as x.
ci A Tensor. Has the same type as x.
co A Tensor. Has the same type as x.
h A Tensor. Has the same type as x.