Enum Instruction 

pub enum Instruction {
    LoadInput {
        name: String,
        dst: usize,
    },
    LoadParam {
        graph_name: String,
        param_name: String,
        dst: usize,
    },
    Unary {
        op: UnaryInstr,
        src: usize,
        dst: usize,
    },
    Binary {
        op: BinaryInstr,
        lhs: usize,
        rhs: usize,
        dst: usize,
    },
    Reduce {
        op: ReduceInstr,
        src: usize,
        dst: usize,
        dims: Vec<i64>,
        keepdim: bool,
    },
    Reshape {
        src: usize,
        dst: usize,
        shape: Vec<usize>,
    },
    Transpose {
        src: usize,
        dst: usize,
    },
    Permute {
        src: usize,
        dst: usize,
        dims: Vec<i64>,
    },
    Expand {
        src: usize,
        dst: usize,
        shape: Vec<usize>,
    },
    Concat {
        srcs: Vec<usize>,
        dst: usize,
        dim: usize,
    },
    Split {
        src: usize,
        dst: usize,
        dim: usize,
        chunks: usize,
    },
    Softmax {
        src: usize,
        dst: usize,
        dim: usize,
    },
    Embedding {
        indices: usize,
        table: usize,
        dst: usize,
    },
    Linear {
        input: usize,
        weight: usize,
        bias: Option<usize>,
        dst: usize,
    },
    LayerNorm {
        input: usize,
        weight: usize,
        bias: usize,
        dst: usize,
        eps: f64,
    },
    BatchNorm {
        input: usize,
        weight: Option<usize>,
        bias: Option<usize>,
        dst: usize,
        eps: f64,
    },
    MultiHeadAttention {
        input: usize,
        dst: usize,
        n_heads: usize,
    },
    TransformerBlock {
        input: usize,
        dst: usize,
        n_heads: usize,
    },
    Dropout {
        src: usize,
        dst: usize,
        p: f64,
    },
    CrossEntropy {
        predictions: usize,
        targets: usize,
        dst: usize,
    },
    MseLoss {
        predictions: usize,
        targets: usize,
        dst: usize,
    },
    Constant {
        value: ConstantValue,
        output_type: IrType,
        dst: usize,
    },
    Repeat {
        count: i64,
        body_op: Box<OpKind>,
        src: usize,
        dst: usize,
    },
    Call {
        graph_name: String,
        inputs: Vec<usize>,
        dst: usize,
    },
    Compare {
        op: CompareInstr,
        lhs: usize,
        rhs: usize,
        dst: usize,
    },
    LogicalNot {
        src: usize,
        dst: usize,
    },
    LogicalBinOp {
        op: LogicalBinInstr,
        lhs: usize,
        rhs: usize,
        dst: usize,
    },
    FusedMatMulAdd {
        a: usize,
        b: usize,
        c: usize,
        dst: usize,
    },
    FusedAddRelu {
        lhs: usize,
        rhs: usize,
        dst: usize,
    },
    FusedSubRelu {
        lhs: usize,
        rhs: usize,
        dst: usize,
    },
    FusedMatMulRelu {
        lhs: usize,
        rhs: usize,
        dst: usize,
    },
    Copy {
        src: usize,
        dst: usize,
    },
    Range {
        inputs: Vec<usize>,
        output_type: IrType,
        dst: usize,
    },
    Free {
        slot: usize,
    },
}

A single operation in the compiled execution plan.

Unlike the interpreter, instructions are a flat enum with pre-resolved input/output buffer slots — no name lookups, no HashMap access.

Variants

LoadInput

Load a graph input into a buffer slot.

Fields

name: String

Input name (for lookup in the provided HashMap).

dst: usize

Buffer slot to store the input tensor.

LoadParam

Load a parameter into a buffer slot.

Fields

graph_name: String

Key: (graph_name, param_name).

param_name: String

dst: usize

Buffer slot to store the parameter tensor.

Unary

Fields

op: UnaryInstr

src: usize

dst: usize

Binary

Fields

op: BinaryInstr

lhs: usize

rhs: usize

dst: usize

Reduce

Fields

op: ReduceInstr

src: usize

dst: usize

dims: Vec<i64>

keepdim: bool

Reshape

Fields

src: usize

dst: usize

shape: Vec<usize>

Pre-resolved concrete shape (symbolic dims resolved at compile time).

Transpose

Fields

src: usize

dst: usize

Permute

Fields

src: usize

dst: usize

dims: Vec<i64>

Expand

Fields

src: usize

dst: usize

shape: Vec<usize>

Concat

Fields

srcs: Vec<usize>

dst: usize

dim: usize

Split

Fields

src: usize

dst: usize

dim: usize

chunks: usize

Softmax

Fields

src: usize

dst: usize

dim: usize

Embedding

Fields

indices: usize

table: usize

dst: usize

Linear

Fields

input: usize

weight: usize

bias: Option<usize>

dst: usize

LayerNorm

Fields

input: usize

weight: usize

bias: usize

dst: usize

eps: f64

BatchNorm

Fields

input: usize

weight: Option<usize>

bias: Option<usize>

dst: usize

eps: f64

MultiHeadAttention

Fields

input: usize

dst: usize

n_heads: usize

TransformerBlock

Fields

input: usize

dst: usize

n_heads: usize

Dropout

Fields

src: usize

dst: usize

p: f64

CrossEntropy

Fields

predictions: usize

targets: usize

dst: usize

MseLoss

Fields

predictions: usize

targets: usize

dst: usize

Constant

Fields

value: ConstantValue

output_type: IrType

dst: usize

Repeat

Fields

count: i64

body_op: Box<OpKind>

src: usize

dst: usize

Call

Fields

graph_name: String

inputs: Vec<usize>

dst: usize

Compare

Fields

op: CompareInstr

lhs: usize

rhs: usize

dst: usize

LogicalNot

Fields

src: usize

dst: usize

LogicalBinOp

Fields

op: LogicalBinInstr

lhs: usize

rhs: usize

dst: usize

FusedMatMulAdd

Fields

a: usize

b: usize

c: usize

dst: usize

FusedAddRelu

Fields

lhs: usize

rhs: usize

dst: usize

FusedSubRelu

Fields

lhs: usize

rhs: usize

dst: usize

FusedMatMulRelu

Fields

lhs: usize

rhs: usize

dst: usize

Copy

Fields

src: usize

dst: usize

Range

Fields

inputs: Vec<usize>

output_type: IrType

dst: usize

Free

Fields

slot: usize

Trait Implementations

impl Clone for Instruction

fn clone(&self) -> Instruction

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Instruction

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.