Computes the LSTM cell backward propagation for 1 timestep.
tf.raw_ops.LSTMBlockCellGrad(
x,
cs_prev,
h_prev,
w,
wci,
wcf,
wco,
b,
i,
cs,
f,
o,
ci,
co,
cs_grad,
h_grad,
use_peephole,
name=None
)
This implementation is to be used in conjunction of LSTMBlockCell.
Args |
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 .
The cell state before the tanh.
|
f
|
A Tensor . Must have the same type as x . The forget gate.
|
o
|
A Tensor . Must have the same type as x . The output gate.
|
ci
|
A Tensor . Must have the same type as x . The cell input.
|
co
|
A Tensor . Must have the same type as x . The cell after the tanh.
|
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 the cell uses peephole connections.
|
name
|
A name for the operation (optional).
|
Returns |
A tuple of Tensor objects (cs_prev_grad, dicfo, wci_grad, wcf_grad, wco_grad).
|
cs_prev_grad
|
A Tensor . Has the same type as x .
|
dicfo
|
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 .
|