mxnet
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#include <dnnl_types.h>
Public Attributes | |
dnnl_primitive_kind_t | primitive_kind |
dnnl_prop_kind_t | prop_kind |
dnnl_memory_desc_t | data_desc |
Source and destination memory descriptor. More... | |
dnnl_memory_desc_t | weights_desc |
dnnl_memory_desc_t | diff_data_desc |
Source and destination gradient memory descriptor. More... | |
dnnl_memory_desc_t | diff_weights_desc |
Learnable parameter alpha gradient memory descriptor. More... | |
dnnl_memory_desc_t dnnl_prelu_desc_t::data_desc |
Source and destination memory descriptor.
dnnl_memory_desc_t dnnl_prelu_desc_t::diff_data_desc |
Source and destination gradient memory descriptor.
dnnl_memory_desc_t dnnl_prelu_desc_t::diff_weights_desc |
Learnable parameter alpha gradient memory descriptor.
dnnl_primitive_kind_t dnnl_prelu_desc_t::primitive_kind |
The kind of primitive. Used for self-identifying the primitive descriptor. Must be dnnl_prelu.
dnnl_prop_kind_t dnnl_prelu_desc_t::prop_kind |
The kind of propagation. Possible values: dnnl_forward_training, dnnl_forward_inference, dnnl_backward
dnnl_memory_desc_t dnnl_prelu_desc_t::weights_desc |
Learnable parameter alpha memory descriptor. Alpha describes negative slope.