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Getting Started

  • Installation
    • Build from source
  • Quick Start

Tutorials

  • Optimize PyTorch Model
  • Optimize ONNX Model

Hidet Script

  • Introduction
  • Examples
    • Hello World!
    • Scalar Addition
    • Vector Addition
    • Kernel Functions
    • Naive Matrix Multiplication
    • More Efficient Matrix Multiplication
  • Reference
    • Type System
    • Expressions
    • Statements
    • Function
    • Module
    • CUDA Specifics
    • CPU Specifics

Developer Guide

  • Add PyTorch Operator Mapping
  • Add New Operator
    • Define Operator Computation
    • Using Rule-based Scheduling
    • Using Template-based Scheduling
  • Add Operator Resolve Rule
  • Add Sub-Graph Rewrite Rule
  • Contributing

Notes

  • Operator Cache
  • Visualize Flow Graph

Reference

  • Python API
    • hidet
    • hidet.option
    • hidet.cuda
    • hidet.Tensor
    • hidet.dtypes
    • hidet.drivers
    • hidet.ops
    • hidet.graph
      • hidet.graph.frontend
        • hidet.graph.frontend.onnx
        • hidet.graph.frontend.torch
      • hidet.graph.transforms
        • Sub-graph Rewrite Pass
        • Resolve Operator Pass
    • hidet.runtime
    • hidet.ffi
    • hidet.utils
    • hidet.testing
  • Index
  • .rst

hidet.ir

hidet.ir¶

Submodules

  • hidet.ir.type
    • DataType
    • data_type()
  • hidet.ir.expr
    • IfThenElse
    • Int
    • if_then_else()
    • tensor_slice()
  • hidet.ir.stmt
    • DeclareScope
  • hidet.ir.func
    • Function
      • Function.get_attr()
  • hidet.ir.compute
    • ReduceType
    • scalar_input()
    • tensor_input()
    • compute()
    • reduce()
    • arg_reduce()
  • hidet.ir.task
    • Task
      • Task.name
      • Task.inputs
      • Task.outputs
      • Task.inverse_map
      • Task.attrs
      • Task.assertions
      • Task.share_map
      • Task.symbols
      • Task.generate_arguments()
      • Task.dummy_arguments()
      • Task.build()

By Hidet Team

© Copyright 2025, Hidet Authors.