tf.raw_ops.BlockLSTMGrad

Computes the LSTM cell backward propagation for the entire time sequence.

tf.raw_ops.BlockLSTMGrad(
    seq_len_max,
    x,
    cs_prev,
    h_prev,
    w,
    wci,
    wcf,
    wco,
    b,
    i,
    cs,
    f,
    o,
    ci,
    co,
    h,
    cs_grad,
    h_grad,
    use_peephole,
    name=None
)

This implementation is to be used in conjunction of LSTMBlock.

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. i A Tensor. Must have the same type as x. The input gate over the whole time sequence. cs A Tensor. Must have the same type as x. The cell state before the tanh over the whole time sequence. f A Tensor. Must have the same type as x. The forget gate over the whole time sequence. o A Tensor. Must have the same type as x. The output gate over the whole time sequence. ci A Tensor. Must have the same type as x. The cell input over the whole time sequence. co A Tensor. Must have the same type as x. The cell after the tanh over the whole time sequence. h A Tensor. Must have the same type as x. The output h vector over the whole time sequence. cs_grad A Tensor. Must have the same type as x. The current gradient of cs. h_grad A Tensor. Must have the same type as x. The gradient of h vector. use_peephole A bool. Whether to use peephole weights. name A name for the operation (optional).

A tuple of Tensor objects (x_grad, cs_prev_grad, h_prev_grad, w_grad, wci_grad, wcf_grad, wco_grad, b_grad).
x_grad A Tensor. Has the same type as x.
cs_prev_grad A Tensor. Has the same type as x.
h_prev_grad A Tensor. Has the same type as x.
w_grad A Tensor. Has the same type as x.
wci_grad A Tensor. Has the same type as x.
wcf_grad A Tensor. Has the same type as x.
wco_grad A Tensor. Has the same type as x.
b_grad A Tensor. Has the same type as x.