Deep Neural Network Library (DNNL)
1.1.1
Performance library for Deep Learning
- a -
accum_data_type :
dnnl_convolution_desc_t
,
dnnl_inner_product_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
alpha :
dnnl_eltwise_desc_t
arg :
dnnl_exec_arg_t
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_rnn_desc_t
blocking :
dnnl_memory_desc_t
- c -
cell_kind :
dnnl_rnn_desc_t
compensation_mask :
dnnl_memory_extra_desc_t
- d -
data :
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
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_placeholder_desc :
dnnl_rnn_desc_t
diff_src_desc :
dnnl_convolution_desc_t
,
dnnl_inner_product_desc_t
,
dnnl_pooling_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
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_pooling_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 -
flags :
dnnl_memory_extra_desc_t
,
dnnl_rnn_desc_t
format_kind :
dnnl_memory_desc_t
- g -
group_size :
dnnl_shuffle_desc_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 -
memory :
dnnl_exec_arg_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
placeholder_desc :
dnnl_rnn_desc_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_pooling_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_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_pooling_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
weights_iter_desc :
dnnl_rnn_desc_t
weights_layer_desc :
dnnl_rnn_desc_t
wino_desc :
dnnl_memory_desc_t