| Package | Description |
|---|---|
| org.bytedeco.javacpp |
| Modifier and Type | Method and Description |
|---|---|
mkldnn.mkldnn_lrn_desc_t |
mkldnn.mkldnn_lrn_desc_t.alg_kind(int alg_kind) |
mkldnn.mkldnn_lrn_desc_t |
mkldnn.mkldnn_lrn_desc_t.data_desc(mkldnn.mkldnn_memory_desc_t data_desc) |
mkldnn.mkldnn_lrn_desc_t |
mkldnn.lrn_forward.desc.data() |
mkldnn.mkldnn_lrn_desc_t |
mkldnn.lrn_backward.desc.data() |
mkldnn.mkldnn_lrn_desc_t |
mkldnn.mkldnn_lrn_desc_t.diff_data_desc(mkldnn.mkldnn_memory_desc_t diff_data_desc) |
mkldnn.mkldnn_lrn_desc_t |
mkldnn.mkldnn_lrn_desc_t.local_size(int local_size) |
mkldnn.mkldnn_lrn_desc_t |
mkldnn.mkldnn_lrn_desc_t.lrn_alpha(float lrn_alpha) |
mkldnn.mkldnn_lrn_desc_t |
mkldnn.mkldnn_lrn_desc_t.lrn_beta(float lrn_beta) |
mkldnn.mkldnn_lrn_desc_t |
mkldnn.mkldnn_lrn_desc_t.lrn_k(float lrn_k) |
mkldnn.mkldnn_lrn_desc_t |
mkldnn.mkldnn_lrn_desc_t.position(long position) |
mkldnn.mkldnn_lrn_desc_t |
mkldnn.mkldnn_lrn_desc_t.primitive_kind(int primitive_kind) |
mkldnn.mkldnn_lrn_desc_t |
mkldnn.mkldnn_lrn_desc_t.prop_kind(int prop_kind) |
| Modifier and Type | Method and Description |
|---|---|
mkldnn.lrn_forward.desc |
mkldnn.lrn_forward.desc.data(mkldnn.mkldnn_lrn_desc_t data) |
mkldnn.lrn_backward.desc |
mkldnn.lrn_backward.desc.data(mkldnn.mkldnn_lrn_desc_t data) |
static int |
mkldnn.mkldnn_lrn_backward_desc_init(mkldnn.mkldnn_lrn_desc_t lrn_desc,
int alg_kind,
mkldnn.mkldnn_memory_desc_t diff_data_desc,
mkldnn.mkldnn_memory_desc_t data_desc,
int local_size,
float alpha,
float beta,
float k)
Initializes an \p lrn_desc for backward propagation using \p alg_kind,
memory descriptors \p data_desc, and \p diff_data_desc, and regularization
parameters \p local_size, \p alpha, \p beta, and \p k.
|
static int |
mkldnn.mkldnn_lrn_forward_desc_init(mkldnn.mkldnn_lrn_desc_t lrn_desc,
int prop_kind,
int alg_kind,
mkldnn.mkldnn_memory_desc_t data_desc,
int local_size,
float alpha,
float beta,
float k)
Initializes an \p lrn_desc for forward propagation using \p prop_kind
(possible values are #mkldnn_forward_training or #mkldnn_forward_inference),
\p alg_kind, memory descriptor \p data_desc, and regularization
parameters \p local_size, \p alpha, \p beta, and \p k.
|
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