[−][src]Struct onednn_sys::dnnl_resampling_desc_t

#[repr(C)]pub struct dnnl_resampling_desc_t {
    pub primitive_kind: dnnl_primitive_kind_t,
    pub prop_kind: dnnl_prop_kind_t,
    pub alg_kind: dnnl_alg_kind_t,
    pub src_desc: dnnl_memory_desc_t,
    pub diff_src_desc: dnnl_memory_desc_t,
    pub dst_desc: dnnl_memory_desc_t,
    pub diff_dst_desc: dnnl_memory_desc_t,
    pub factors: [f32; 12],
}

A descriptor of resampling operation.

Fields

primitive_kind: dnnl_primitive_kind_t

The kind of primitive. Used for self-identifying the primitive descriptor. Must be #dnnl_resampling.

prop_kind: dnnl_prop_kind_t

The kind of propagation. Possible values: #dnnl_forward_training, #dnnl_forward_inference, #dnnl_backward_data,

alg_kind: dnnl_alg_kind_t

The kind of the resampling algorithm. Possible values: #dnnl_resampling_nearest, #dnnl_resampling_linear.

src_desc: dnnl_memory_desc_t

Source memory descriptor.

diff_src_desc: dnnl_memory_desc_t

Source gradient memory descriptor.

dst_desc: dnnl_memory_desc_t

Destination memory descriptor.

diff_dst_desc: dnnl_memory_desc_t

Destination gradient memory descriptor.

factors: [f32; 12]

Resampling factor in each spatial dimension.

Trait Implementations

impl Clone for dnnl_resampling_desc_t[src]

impl Copy for dnnl_resampling_desc_t[src]

Auto Trait Implementations

Blanket Implementations

impl<T> Any for T where
    T: 'static + ?Sized, [src]

impl<T> Borrow<T> for T where
    T: ?Sized, [src]

impl<T> BorrowMut<T> for T where
    T: ?Sized, [src]

impl<T> From<T> for T[src]

impl<T, U> Into<U> for T where
    U: From<T>, [src]

impl<T> ToOwned for T where
    T: Clone, [src]

type Owned = T

The resulting type after obtaining ownership.

impl<T, U> TryFrom<U> for T where
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type Error = Infallible

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impl<T, U> TryInto<U> for T where
    U: TryFrom<T>, [src]

type Error = <U as TryFrom<T>>::Error

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