Here is a list of all documented variables with links to the class documentation for each member:

- a -

• accum_data_type : dnnl_convolution_desc_t, dnnl_inner_product_desc_t, dnnl_matmul_desc_t, dnnl_pooling_desc_t
• activation_kind : dnnl_rnn_desc_t
• alg_kind : dnnl_binary_desc_t, dnnl_convolution_desc_t, dnnl_eltwise_desc_t, dnnl_lrn_desc_t, dnnl_pooling_desc_t, dnnl_resampling_desc_t
• alpha : dnnl_eltwise_desc_t
• arg : dnnl_exec_arg_t
• ASYNCHRONOUS : dnnl::threadpool_iface
• axis : dnnl_shuffle_desc_t

- b -

• batch_norm_epsilon : dnnl_batch_normalization_desc_t
• bias_desc : dnnl_convolution_desc_t, dnnl_inner_product_desc_t, dnnl_matmul_desc_t, dnnl_rnn_desc_t
• blocking : dnnl_memory_desc_t

- c -

• cell_kind : dnnl_rnn_desc_t
• compensation_mask : dnnl_memory_extra_desc_t
• cpu_runtime : dnnl_version_t

- d -

• data : dnnl::binary::desc, dnnl::memory::desc
• data_desc : dnnl_batch_normalization_desc_t, dnnl_eltwise_desc_t, dnnl_layer_normalization_desc_t, dnnl_lrn_desc_t, dnnl_shuffle_desc_t, dnnl_softmax_desc_t
• data_scaleshift_desc : dnnl_batch_normalization_desc_t, dnnl_layer_normalization_desc_t
• data_type : dnnl_memory_desc_t
• diff_bias_desc : dnnl_convolution_desc_t, dnnl_inner_product_desc_t, dnnl_rnn_desc_t
• diff_data_desc : dnnl_batch_normalization_desc_t, dnnl_eltwise_desc_t, dnnl_layer_normalization_desc_t, dnnl_lrn_desc_t
• diff_desc : dnnl_softmax_desc_t
• diff_dst_desc : dnnl_convolution_desc_t, dnnl_inner_product_desc_t, dnnl_pooling_desc_t, dnnl_resampling_desc_t
• diff_dst_iter_c_desc : dnnl_rnn_desc_t
• diff_dst_iter_desc : dnnl_rnn_desc_t
• diff_dst_layer_desc : dnnl_rnn_desc_t
• diff_src_desc : dnnl_convolution_desc_t, dnnl_inner_product_desc_t, dnnl_pooling_desc_t, dnnl_resampling_desc_t
• diff_src_iter_c_desc : dnnl_rnn_desc_t
• diff_src_iter_desc : dnnl_rnn_desc_t
• diff_src_layer_desc : dnnl_rnn_desc_t
• diff_weights_desc : dnnl_convolution_desc_t, dnnl_inner_product_desc_t
• diff_weights_iter_desc : dnnl_rnn_desc_t
• diff_weights_layer_desc : dnnl_rnn_desc_t
• diff_weights_peephole_desc : dnnl_rnn_desc_t
• diff_weights_projection_desc : dnnl_rnn_desc_t
• dilates : dnnl_convolution_desc_t
• dims : dnnl_memory_desc_t
• direction : dnnl_rnn_desc_t
• dst_desc : dnnl_binary_desc_t, dnnl_convolution_desc_t, dnnl_inner_product_desc_t, dnnl_matmul_desc_t, dnnl_pooling_desc_t, dnnl_resampling_desc_t
• dst_iter_c_desc : dnnl_rnn_desc_t
• dst_iter_desc : dnnl_rnn_desc_t
• dst_layer_desc : dnnl_rnn_desc_t

- f -

• factors : dnnl_resampling_desc_t
• flags : dnnl_memory_extra_desc_t, dnnl_rnn_desc_t
• format_kind : dnnl_memory_desc_t

- g -

• gpu_runtime : dnnl_version_t
• group_size : dnnl_shuffle_desc_t

- h -

• hash : dnnl_version_t

- i -

• inner_blks : dnnl_blocking_desc_t
• inner_idxs : dnnl_blocking_desc_t
• inner_nblks : dnnl_blocking_desc_t

- k -

• kernel : dnnl_pooling_desc_t

- l -

• layer_norm_epsilon : dnnl_layer_normalization_desc_t
• local_size : dnnl_lrn_desc_t
• lrn_alpha : dnnl_lrn_desc_t
• lrn_beta : dnnl_lrn_desc_t
• lrn_k : dnnl_lrn_desc_t

- m -

• major : dnnl_version_t
• memory : dnnl_exec_arg_t
• minor : dnnl_version_t

- n -

• ndims : dnnl_memory_desc_t

- o -

• offset0 : dnnl_memory_desc_t

- p -

• padded_dims : dnnl_memory_desc_t
• padded_offsets : dnnl_memory_desc_t
• padding : dnnl_convolution_desc_t, dnnl_pooling_desc_t
• patch : dnnl_version_t
• primitive_kind : dnnl_batch_normalization_desc_t, dnnl_binary_desc_t, dnnl_convolution_desc_t, dnnl_eltwise_desc_t, dnnl_inner_product_desc_t, dnnl_layer_normalization_desc_t, dnnl_lrn_desc_t, dnnl_matmul_desc_t, dnnl_pooling_desc_t, dnnl_resampling_desc_t, dnnl_rnn_desc_t, dnnl_shuffle_desc_t, dnnl_softmax_desc_t
• prop_kind : dnnl_batch_normalization_desc_t, dnnl_convolution_desc_t, dnnl_eltwise_desc_t, dnnl_inner_product_desc_t, dnnl_layer_normalization_desc_t, dnnl_lrn_desc_t, dnnl_pooling_desc_t, dnnl_resampling_desc_t, dnnl_rnn_desc_t, dnnl_shuffle_desc_t, dnnl_softmax_desc_t

- r -

• reserved : dnnl_memory_extra_desc_t
• rnn_packed_desc : dnnl_memory_desc_t

- s -

• scale_adjust : dnnl_memory_extra_desc_t
• softmax_axis : dnnl_softmax_desc_t
• src_desc : dnnl_binary_desc_t, dnnl_convolution_desc_t, dnnl_inner_product_desc_t, dnnl_matmul_desc_t, dnnl_pooling_desc_t, dnnl_resampling_desc_t
• src_iter_c_desc : dnnl_rnn_desc_t
• src_iter_desc : dnnl_rnn_desc_t
• src_layer_desc : dnnl_rnn_desc_t
• stat_desc : dnnl_batch_normalization_desc_t, dnnl_layer_normalization_desc_t
• strides : dnnl_blocking_desc_t, dnnl_convolution_desc_t, dnnl_pooling_desc_t

- w -

• weights_desc : dnnl_convolution_desc_t, dnnl_inner_product_desc_t, dnnl_matmul_desc_t
• weights_iter_desc : dnnl_rnn_desc_t
• weights_layer_desc : dnnl_rnn_desc_t
• weights_peephole_desc : dnnl_rnn_desc_t
• weights_projection_desc : dnnl_rnn_desc_t
• wino_desc : dnnl_memory_desc_t