A descriptor for an RNN operation. More...
#include <dnnl_types.h>
Public Attributes | |
dnnl_primitive_kind_t | primitive_kind |
The kind of primitive. More... | |
dnnl_prop_kind_t | prop_kind |
The kind of propagation. More... | |
dnnl_alg_kind_t | cell_kind |
RNN cell kind. More... | |
dnnl_rnn_direction_t | direction |
The direction of RNN primitive execution. | |
dnnl_memory_desc_t | src_layer_desc |
Source layer memory descriptor. | |
dnnl_memory_desc_t | src_iter_desc |
Source iteration memory descriptor for hidden state. | |
dnnl_memory_desc_t | src_iter_c_desc |
Source iteration memory descriptor for cell state. | |
dnnl_memory_desc_t | weights_layer_desc |
Weights layer memory descriptor. | |
dnnl_memory_desc_t | weights_iter_desc |
Weights iteration memory descriptor. | |
dnnl_memory_desc_t | bias_desc |
Bias memory descriptor. | |
dnnl_memory_desc_t | dst_layer_desc |
Destination layer memory descriptor. | |
dnnl_memory_desc_t | dst_iter_desc |
Destination iter memory descriptor for hidden state. | |
dnnl_memory_desc_t | dst_iter_c_desc |
Destination iter memory descriptor for cell state. | |
dnnl_memory_desc_t | weights_peephole_desc |
Weights peephole memory descriptor. More... | |
dnnl_memory_desc_t | weights_projection_desc |
Weights projection memory descriptor. More... | |
dnnl_memory_desc_t | diff_src_layer_desc |
Source gradient layer memory descriptor. | |
dnnl_memory_desc_t | diff_src_iter_desc |
Source gradient iter memory descriptor for hidden state. | |
dnnl_memory_desc_t | diff_src_iter_c_desc |
Source gradient iter memory descriptor for cell state. | |
dnnl_memory_desc_t | diff_weights_layer_desc |
Weights gradient layer memory descriptor. | |
dnnl_memory_desc_t | diff_weights_iter_desc |
Weights gradient iter memory descriptor. | |
dnnl_memory_desc_t | diff_bias_desc |
Bias gradient memory descriptor. | |
dnnl_memory_desc_t | diff_dst_layer_desc |
Destination gradient layer memory descriptor. | |
dnnl_memory_desc_t | diff_dst_iter_desc |
Destination gradient iteration memory descriptor for hidden state. | |
dnnl_memory_desc_t | diff_dst_iter_c_desc |
Destination gradient iteration memory descriptor for cell state. | |
dnnl_memory_desc_t | diff_weights_peephole_desc |
Weights gradient peephole memory descriptor. More... | |
dnnl_memory_desc_t | diff_weights_projection_desc |
Weights gradient projection memory descriptor. More... | |
unsigned int | flags |
RNN cell flags. | |
dnnl_alg_kind_t | activation_kind |
Activation function used for vanilla_rnn cell kind. More... | |
A descriptor for an RNN operation.
dnnl_primitive_kind_t dnnl_rnn_desc_t::primitive_kind |
The kind of primitive.
Used for self-identifying the primitive descriptor. Must be dnnl_rnn.
dnnl_prop_kind_t dnnl_rnn_desc_t::prop_kind |
The kind of propagation.
Possible values: dnnl_forward_training, dnnl_forward_inference, and dnnl_backward.
dnnl_alg_kind_t dnnl_rnn_desc_t::cell_kind |
RNN cell kind.
Must be one of dnnl_vanilla_rnn, dnnl_vanilla_lstm, dnnl_vanilla_gru, or dnnl_lbr_gru.
dnnl_memory_desc_t dnnl_rnn_desc_t::weights_peephole_desc |
Weights peephole memory descriptor.
This memory descriptor is equal to zero memory descriptor in case of non-peephole LSTMs and other non-LSTM RNNs.
dnnl_memory_desc_t dnnl_rnn_desc_t::weights_projection_desc |
Weights projection memory descriptor.
This memory descriptor is equal to zero memory descriptor in case of non-projection LSTMs and other non-LSTM RNNs.
dnnl_memory_desc_t dnnl_rnn_desc_t::diff_weights_peephole_desc |
Weights gradient peephole memory descriptor.
This memory descriptor is equal to zero memory descriptor in case of non-peephole LSTMs and other non-LSTM RNNs.
dnnl_memory_desc_t dnnl_rnn_desc_t::diff_weights_projection_desc |
Weights gradient projection memory descriptor.
This memory descriptor is equal to zero memory descriptor in case of non-projection LSTMs and other non-LSTM RNNs.
dnnl_alg_kind_t dnnl_rnn_desc_t::activation_kind |
Activation function used for vanilla_rnn cell kind.
Must be either dnnl_eltwise_relu or dnnl_eltwise_tanh.