tf.raw_ops.LSTMBlockCellGrad

Computes the LSTM cell backward propagation for 1 timestep.

This implementation is to be used in conjunction of LSTMBlockCell.

x A Tensor. Must be one of the following types: half, float32. The input to the LSTM cell, shape (batch_size, num_inputs).
cs_prev A Tensor. Must have the same type as x. The previous cell state.
h_prev A Tensor. Must have the same type as x. The previous h state.
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.
cs A Tensor. Must have the same type as x.