Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)
0.10
Performance library for Deep Learning
- b -
backward :
mkldnn
backward_bias :
mkldnn
backward_data :
mkldnn
backward_weights :
mkldnn
batch_normalization_d :
mkldnn
- c -
convolution_d :
mkldnn
convolution_direct :
mkldnn
convolution_relu_d :
mkldnn
convolution_winograd :
mkldnn
- d -
diff_dst_pd :
mkldnn
diff_src_pd :
mkldnn
diff_weights_pd :
mkldnn
dst_pd :
mkldnn
- e -
eengine :
mkldnn
eltwise_d :
mkldnn
eltwise_elu :
mkldnn
eltwise_relu :
mkldnn
eltwise_tanh :
mkldnn
- f -
forward :
mkldnn
forward_inference :
mkldnn
forward_scoring :
mkldnn
forward_training :
mkldnn
- i -
impl_info_str :
mkldnn
inner_product_d :
mkldnn
input_pd :
mkldnn
- l -
lrn_across_channels :
mkldnn
lrn_d :
mkldnn
lrn_within_channel :
mkldnn
- m -
memory_consumption_s64 :
mkldnn
memory_d :
mkldnn
- n -
num_of_inputs_s32 :
mkldnn
num_of_outputs_s32 :
mkldnn
- o -
omit_stats :
mkldnn
output_pd :
mkldnn
- p -
pooling_avg :
mkldnn
pooling_avg_exclude_padding :
mkldnn
pooling_avg_include_padding :
mkldnn
pooling_d :
mkldnn
pooling_max :
mkldnn
primitive_kind :
mkldnn
- r -
relu_d :
mkldnn
- s -
softmax_d :
mkldnn
src_pd :
mkldnn
- t -
time_estimate_f64 :
mkldnn
- u -
undef :
mkldnn
use_global_stats :
mkldnn
use_scale_shift :
mkldnn
- w -
weights_pd :
mkldnn
workspace_pd :
mkldnn
- z -
zero :
mkldnn
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