Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)  0.21.0
Performance library for Deep Learning
mkldnn::rnn_backward Member List

This is the complete list of members for mkldnn::rnn_backward, including all inherited members.

get() constmkldnn::handle< mkldnn_primitive_t >inline
get_primitive_desc() constmkldnn::primitiveinline
handle< mkldnn_primitive_t >::handle(mkldnn_primitive_t t=0, bool weak=false)mkldnn::handle< mkldnn_primitive_t >inline
handle< mkldnn_primitive_t >::handle(const handle &other)mkldnn::handle< mkldnn_primitive_t >inline
kind enum namemkldnn::primitive
operator!=(const mkldnn_primitive_t other) constmkldnn::handle< mkldnn_primitive_t >inlineprotected
operator!=(const handle &other) constmkldnn::handle< mkldnn_primitive_t >inline
operator=(const handle &other)mkldnn::handle< mkldnn_primitive_t >inline
operator==(const mkldnn_primitive_t other) constmkldnn::handle< mkldnn_primitive_t >inlineprotected
operator==(const handle &other) constmkldnn::handle< mkldnn_primitive_t >inline
reset(mkldnn_primitive_t t, bool weak=false)mkldnn::handle< mkldnn_primitive_t >inline
rnn_backward(const primitive_desc &aprimitive_desc, const primitive::at &src_layer, const primitive::at &src_iter, const primitive::at &weights_layer, const primitive::at &weights_iter, const primitive::at &bias, const primitive::at &dst_layer, const primitive::at &dst_iter, const memory &diff_src_layer, const memory &diff_src_iter, const memory &diff_weights_layer, const memory &diff_weights_iter, const memory &diff_bias, const primitive::at &diff_dst_layer, const primitive::at &diff_dst_iter, const primitive::at &workspace)mkldnn::rnn_backwardinline