Deep Neural Network Library (DNNL)  1.3.0
Performance library for Deep Learning
dnnl::post_ops Member List

This is the complete list of members for dnnl::post_ops, including all inherited members.

append_dw_k3s1p1(memory::data_type weights_data_type, memory::data_type bias_data_type, memory::data_type dst_data_type, int mask, const std::vector< float > &scales)dnnl::post_opsinline
append_dw_k3s2p1(memory::data_type weights_data_type, memory::data_type bias_data_type, memory::data_type dst_data_type, int mask, const std::vector< float > &scales)dnnl::post_opsinline
append_eltwise(float scale, algorithm algorithm, float alpha, float beta)dnnl::post_opsinline
append_sum(float scale=1.)dnnl::post_opsinline
get(bool allow_empty=false) constdnnl::handle< dnnl_post_ops_t >inline
get_params_dw_k3s1p1(int index, memory::data_type &weights_data_type, memory::data_type &bias_data_type, memory::data_type &dst_data_type, int &mask, std::vector< float > &scales) constdnnl::post_opsinline
get_params_dw_k3s2p1(int index, memory::data_type &weights_data_type, memory::data_type &bias_data_type, memory::data_type &dst_data_type, int &mask, std::vector< float > &scales) constdnnl::post_opsinline
get_params_eltwise(int index, float &scale, algorithm &algorithm, float &alpha, float &beta) constdnnl::post_opsinline
get_params_sum(int index, float &scale) constdnnl::post_opsinline
handle()=defaultdnnl::handle< dnnl_post_ops_t >
handle(const handle< dnnl_post_ops_t, handle_traits< dnnl_post_ops_t > > &)=defaultdnnl::handle< dnnl_post_ops_t >
handle(handle< dnnl_post_ops_t, handle_traits< dnnl_post_ops_t > > &&)=defaultdnnl::handle< dnnl_post_ops_t >
handle(dnnl_post_ops_t t, bool weak=false)dnnl::handle< dnnl_post_ops_t >inlineexplicit
kind(int index) constdnnl::post_opsinline
len() constdnnl::post_opsinline
operator bool() constdnnl::handle< dnnl_post_ops_t >inlineexplicit
operator dnnl_post_ops_t() constdnnl::handle< dnnl_post_ops_t >inlineexplicit
operator!=(const handle &other) constdnnl::handle< dnnl_post_ops_t >inline
operator=(const handle< dnnl_post_ops_t, handle_traits< dnnl_post_ops_t > > &)=defaultdnnl::handle< dnnl_post_ops_t >
operator=(handle< dnnl_post_ops_t, handle_traits< dnnl_post_ops_t > > &&)=defaultdnnl::handle< dnnl_post_ops_t >
operator==(const handle< dnnl_post_ops_t, handle_traits< dnnl_post_ops_t > > &other) constdnnl::handle< dnnl_post_ops_t >inline
post_ops()dnnl::post_opsinline
reset(dnnl_post_ops_t t, bool weak=false)dnnl::handle< dnnl_post_ops_t >inline