tf.raw_ops.BlockLSTMGradV2

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

This implementation is to be used in conjunction of BlockLSTMV2.

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.