@Namespace(value="cv::dnn") @Properties(inherit=opencv_dnn.class) public class GRULayer extends Layer
T, N, data_dims] where T is sequence length, N is batch size, data_dims is input size
- output would have shape [T, N, D * hidden_size] where D = 2 if layer is bidirectional otherwise D = 1
Depends on the following attributes:
- hidden_size - Number of neurons in the hidden layer
- direction - RNN could be bidirectional or forward
The final hidden state h_t computes by the following formulas:
\begin{eqnarray*}
r_t = \sigma(W_{ir} x_t + b_{ir} + W_{hr} h_{(t-1)} + b_{hr}) \\
z_t = \sigma(W_{iz} x_t + b_{iz} + W_{hz} h_{(t-1)} + b_{hz}) \\
n_t = \tanh(W_{in} x_t + b_{in} + r_t \odot (W_{hn} h_{(t-1)}+ b_{hn})) \\
h_t = (1 - z_t) \odot n_t + z_t \odot h_{(t-1)} \\
\end{eqnarray*}x_t is current input, h_{(t-1)} is previous or initial hidden state.
W_{x?}, W_{h?} and b_{?} are learned weights represented as matrices:
W_{x?} \in R^{N_h \times N_x}, W_{h?} \in R^{N_h \times N_h}, b_? \in R^{N_h}.
\odot is per-element multiply operation.Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter| Constructor and Description |
|---|
GRULayer()
Default native constructor.
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GRULayer(long size)
Native array allocator.
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GRULayer(Pointer p)
Pointer cast constructor.
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| Modifier and Type | Method and Description |
|---|---|
static GRULayer |
create(LayerParams params)
Creates instance of GRU layer
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GRULayer |
getPointer(long i) |
GRULayer |
position(long position) |
applyHalideScheduler, blobs, blobs, finalize, finalize, finalize, finalize, finalize, forward_fallback, forward_fallback, forward_fallback, forward, forward, forward, forward, getFLOPS, getMemoryShapes, getScaleShift, getScaleZeropoint, getScaleZeropoint, getScaleZeropoint, inputNameToIndex, inputNameToIndex, name, name, outputNameToIndex, outputNameToIndex, preferableTarget, preferableTarget, run, setActivation, setParamsFrom, supportBackend, tryAttach, tryFuse, tryQuantize, type, type, unsetAttached, updateMemoryShapesclear, empty, getDefaultName, read, save, save, write, write, writeaddress, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, getPointer, getPointer, getPointer, hashCode, interruptDeallocatorThread, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetAddress, offsetof, offsetof, parseBytes, physicalBytes, physicalBytesInaccurate, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, sizeof, toString, totalBytes, totalCount, totalPhysicalBytes, withDeallocator, zeropublic GRULayer()
public GRULayer(long size)
Pointer.position(long).public GRULayer(Pointer p)
Pointer(Pointer).public GRULayer getPointer(long i)
getPointer in class Layer@opencv_core.Ptr public static GRULayer create(@Const @ByRef LayerParams params)
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