Struct caffe2op_i8quantized::Int8FCOp

pub struct Int8FCOp { /* private fields */ }

| Computes the result of passing an input | vector | | X into a fully connected layer with 2D | weight matrix W and 1D bias vector b. | | That is, the layer computes Y = X * W^T | + b, where | | X has size (M x K), W has size (N x K), b has | size (N), and Y has size (M x N), where | M is often the batch size. | | ———– | @note | | X does not need to explicitly be a 2D vector; | rather, it will be coerced into one. | | For an arbitrary n-dimensional tensor | X \in [a_0, a_1 * … * a_{n-1}]. | | Only this case is supported! Lastly, | even though b is a 1D vector of size N, | it is copied/resized to be size (M x N) | implicitly and added to each vector | in the batch. | | Each of these dimensions must be matched | correctly, or else the operator will | throw errors. |

Implementations

impl Int8FCOp

pub fn new(operator_def: &OperatorDef, ws: *mut Workspace) -> Self

pub fn run_on_device(&mut self) -> bool

Trait Implementations

impl Drop for Int8FCOp

fn drop(&mut self)

Executes the destructor for this type.