public final class
BlockLSTMGrad
Computes the LSTM cell backward propagation for the entire time sequence.
This implementation is to be used in conjunction of BlockLSTMV2.
Constants
| String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
| Output<T> |
bGrad()
The gradient for w to be back-propped.
|
| static <T extends TNumber> BlockLSTMGrad<T> |
create(Scope scope, Operand<TInt64> seqLenMax, Operand<T> x, Operand<T> csPrev, Operand<T> hPrev, Operand<T> w, Operand<T> wci, Operand<T> wcf, Operand<T> wco, Operand<T> b, Operand<T> i, Operand<T> cs, Operand<T> f, Operand<T> o, Operand<T> ci, Operand<T> co, Operand<T> h, Operand<T> csGrad, Operand<T> hGrad, Boolean usePeephole)
Factory method to create a class wrapping a new BlockLSTMGrad operation.
|
| Output<T> |
csPrevGrad()
The gradient of cs_prev to be back-propped.
|
| Output<T> |
hPrevGrad()
The gradient of h_prev to be back-propped.
|
| Output<T> |
wGrad()
The gradient for w to be back-propped.
|
| Output<T> |
wcfGrad()
The gradient for wcf to be back-propped.
|
| Output<T> |
wciGrad()
The gradient for wci to be back-propped.
|
| Output<T> |
wcoGrad()
The gradient for wco to be back-propped.
|
| Output<T> |
xGrad()
The gradient of x to be back-propped.
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"BlockLSTMGradV2"
Public Methods
public static BlockLSTMGrad<T> create (Scope scope, Operand<TInt64> seqLenMax, Operand<T> x, Operand<T> csPrev, Operand<T> hPrev, Operand<T> w, Operand<T> wci, Operand<T> wcf, Operand<T> wco, Operand<T> b, Operand<T> i, Operand<T> cs, Operand<T> f, Operand<T> o, Operand<T> ci, Operand<T> co, Operand<T> h, Operand<T> csGrad, Operand<T> hGrad, Boolean usePeephole)
Factory method to create a class wrapping a new BlockLSTMGrad operation.
Parameters
| scope | current scope |
|---|---|
| seqLenMax | Maximum time length actually used by this input. Outputs are padded with zeros beyond this length. |
| x | The sequence input to the LSTM, shape (timelen, batch_size, num_inputs). |
| csPrev | Value of the initial cell state. |
| hPrev | Initial output of cell (to be used for peephole). |
| w | The weight matrix. |
| wci | The weight matrix for input gate peephole connection. |
| wcf | The weight matrix for forget gate peephole connection. |
| wco | The weight matrix for output gate peephole connection. |
| b | The bias vector. |
| i | The input gate over the whole time sequence. |
| cs | The cell state before the tanh over the whole time sequence. |
| f | The forget gate over the whole time sequence. |
| o | The output gate over the whole time sequence. |
| ci | The cell input over the whole time sequence. |
| co | The cell after the tanh over the whole time sequence. |
| h | The output h vector over the whole time sequence. |
| csGrad | The current gradient of cs. |
| hGrad | The gradient of h vector. |
| usePeephole | Whether to use peephole weights. |
Returns
- a new instance of BlockLSTMGrad