.. Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at .. http://www.apache.org/licenses/LICENSE-2.0 .. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. Language Reference ================== This document provides references to embedded languages and IRs in the TVM stack. Introduction to Relay --------------------- Relay is a functional, differentiable programming language designed to be an expressive intermediate representation for machine learning systems. Relay supports algebraic data types, closures, control flow, and recursion, allowing it to directly represent more complex models than computation graph-based IRs can. Relay also includes a form of dependent typing using *type relations* in order to handle shape analysis for operators with complex requirements on argument shapes. Relay is extensible by design and makes it easy for machine learning researchers and practitioners to develop new large-scale program transformations and optimizations. The below pages describe the grammar, type system, algebraic data types, and operators in Relay, respectively. .. toctree:: :maxdepth: 2 relay_expr relay_type relay_adt relay_op relay_pattern Hybrid Script ------------- The below page describes the TVM hybrid script front-end, which uses software emulation to support some constructs not officially supported in TVM. .. toctree:: :maxdepth: 2 hybrid_script