Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)
0.17.3
Performance library for Deep Learning
- a -
accum_data_type :
mkldnn_convolution_desc_t
,
mkldnn_inner_product_desc_t
,
mkldnn_pooling_desc_t
activation_kind :
mkldnn_rnn_cell_desc_t
adj_scale :
mkldnn_wino_desc_t
alg_kind :
mkldnn_convolution_desc_t
,
mkldnn_eltwise_desc_t
,
mkldnn_lrn_desc_t
,
mkldnn_pooling_desc_t
alpha :
mkldnn_eltwise_desc_t
,
mkldnn_rnn_cell_desc_t
,
mkldnn_wino_desc_t
axis :
mkldnn_shuffle_desc_t
- b -
batch_norm_epsilon :
mkldnn_batch_normalization_desc_t
beta :
mkldnn_eltwise_desc_t
bias_desc :
mkldnn_convolution_desc_t
,
mkldnn_inner_product_desc_t
,
mkldnn_rnn_desc_t
block_dims :
mkldnn_blocking_desc_t
blocking :
mkldnn_memory_desc_t
- c -
c_rnn_cell_ :
mkldnn::rnn_cell::desc
cell_desc :
mkldnn_rnn_desc_t
cell_kind :
mkldnn_rnn_cell_desc_t
clipping :
mkldnn_rnn_cell_desc_t
convolution_desc :
mkldnn_convolution_relu_desc_t
- d -
data :
mkldnn::batch_normalization_backward::desc
,
mkldnn::batch_normalization_forward::desc
,
mkldnn::convolution_backward_data::desc
,
mkldnn::convolution_backward_weights::desc
,
mkldnn::convolution_forward::desc
,
mkldnn::convolution_relu_forward::desc
,
mkldnn::deconvolution_backward_data::desc
,
mkldnn::deconvolution_backward_weights::desc
,
mkldnn::deconvolution_forward::desc
,
mkldnn::eltwise_backward::desc
,
mkldnn::eltwise_forward::desc
,
mkldnn::inner_product_backward_data::desc
,
mkldnn::inner_product_backward_weights::desc
,
mkldnn::inner_product_forward::desc
,
mkldnn::lrn_backward::desc
,
mkldnn::lrn_forward::desc
,
mkldnn::memory::desc
,
mkldnn::pooling_backward::desc
,
mkldnn::pooling_forward::desc
,
mkldnn::primitive::at
,
mkldnn::rnn_backward::desc
,
mkldnn::rnn_forward::desc
,
mkldnn::shuffle_backward::desc
,
mkldnn::shuffle_forward::desc
,
mkldnn::softmax_backward::desc
,
mkldnn::softmax_forward::desc
data_desc :
mkldnn_batch_normalization_desc_t
,
mkldnn_eltwise_desc_t
,
mkldnn_lrn_desc_t
,
mkldnn_shuffle_desc_t
,
mkldnn_softmax_desc_t
data_scaleshift_desc :
mkldnn_batch_normalization_desc_t
data_type :
mkldnn_memory_desc_t
diff_bias_desc :
mkldnn_convolution_desc_t
,
mkldnn_inner_product_desc_t
,
mkldnn_rnn_desc_t
diff_data_desc :
mkldnn_batch_normalization_desc_t
,
mkldnn_eltwise_desc_t
,
mkldnn_lrn_desc_t
diff_data_scaleshift_desc :
mkldnn_batch_normalization_desc_t
diff_desc :
mkldnn_softmax_desc_t
diff_dst_desc :
mkldnn_convolution_desc_t
,
mkldnn_inner_product_desc_t
,
mkldnn_pooling_desc_t
diff_dst_iter_desc :
mkldnn_rnn_desc_t
diff_dst_layer_desc :
mkldnn_rnn_desc_t
diff_src_desc :
mkldnn_convolution_desc_t
,
mkldnn_inner_product_desc_t
,
mkldnn_pooling_desc_t
diff_src_iter_desc :
mkldnn_rnn_desc_t
diff_src_layer_desc :
mkldnn_rnn_desc_t
diff_weights_desc :
mkldnn_convolution_desc_t
,
mkldnn_inner_product_desc_t
diff_weights_iter_desc :
mkldnn_rnn_desc_t
diff_weights_layer_desc :
mkldnn_rnn_desc_t
dilates :
mkldnn_convolution_desc_t
dims :
mkldnn_memory_desc_t
direction :
mkldnn_rnn_desc_t
dst_desc :
mkldnn_convolution_desc_t
,
mkldnn_inner_product_desc_t
,
mkldnn_pooling_desc_t
dst_iter_desc :
mkldnn_rnn_desc_t
dst_layer_desc :
mkldnn_rnn_desc_t
- e -
error_primitive :
mkldnn::error
- f -
flags :
mkldnn_batch_normalization_desc_t
,
mkldnn_rnn_cell_desc_t
format :
mkldnn_memory_desc_t
- g -
group_size :
mkldnn_shuffle_desc_t
- i -
ic :
mkldnn_wino_desc_t
ic2_block :
mkldnn_wino_desc_t
ic_block :
mkldnn_wino_desc_t
- k -
kernel :
mkldnn_pooling_desc_t
- l -
layout_desc :
mkldnn_memory_desc_t
local_size :
mkldnn_lrn_desc_t
lrn_alpha :
mkldnn_lrn_desc_t
lrn_beta :
mkldnn_lrn_desc_t
lrn_k :
mkldnn_lrn_desc_t
- m -
mean_desc :
mkldnn_batch_normalization_desc_t
message :
mkldnn::error
- n -
ndims :
mkldnn_memory_desc_t
negative_slope :
mkldnn_convolution_relu_desc_t
,
mkldnn_eltwise_desc_t
- o -
oc :
mkldnn_wino_desc_t
oc2_block :
mkldnn_wino_desc_t
oc_block :
mkldnn_wino_desc_t
offset_padding :
mkldnn_blocking_desc_t
offset_padding_to_data :
mkldnn_blocking_desc_t
output_index :
mkldnn_primitive_at_t
- p -
padding :
mkldnn_convolution_desc_t
,
mkldnn_pooling_desc_t
padding_dims :
mkldnn_blocking_desc_t
padding_kind :
mkldnn_convolution_desc_t
,
mkldnn_pooling_desc_t
primitive :
mkldnn_primitive_at_t
primitive_kind :
mkldnn_batch_normalization_desc_t
,
mkldnn_convolution_desc_t
,
mkldnn_convolution_relu_desc_t
,
mkldnn_eltwise_desc_t
,
mkldnn_inner_product_desc_t
,
mkldnn_lrn_desc_t
,
mkldnn_memory_desc_t
,
mkldnn_pooling_desc_t
,
mkldnn_rnn_desc_t
,
mkldnn_shuffle_desc_t
,
mkldnn_softmax_desc_t
prop_kind :
mkldnn_batch_normalization_desc_t
,
mkldnn_convolution_desc_t
,
mkldnn_eltwise_desc_t
,
mkldnn_inner_product_desc_t
,
mkldnn_lrn_desc_t
,
mkldnn_pooling_desc_t
,
mkldnn_rnn_desc_t
,
mkldnn_shuffle_desc_t
,
mkldnn_softmax_desc_t
- r -
r :
mkldnn_wino_desc_t
- s -
size :
mkldnn_wino_desc_t
softmax_axis :
mkldnn_softmax_desc_t
src_desc :
mkldnn_convolution_desc_t
,
mkldnn_inner_product_desc_t
,
mkldnn_pooling_desc_t
src_iter_desc :
mkldnn_rnn_desc_t
src_layer_desc :
mkldnn_rnn_desc_t
status :
mkldnn::error
strides :
mkldnn_blocking_desc_t
,
mkldnn_convolution_desc_t
,
mkldnn_pooling_desc_t
- v -
variance_desc :
mkldnn_batch_normalization_desc_t
- w -
weights_desc :
mkldnn_convolution_desc_t
,
mkldnn_inner_product_desc_t
weights_iter_desc :
mkldnn_rnn_desc_t
weights_layer_desc :
mkldnn_rnn_desc_t
wino_desc :
mkldnn_memory_desc_t
wino_format :
mkldnn_wino_desc_t
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