.. 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. .. _tensor-ir-deep-dive: TensorIR ======== TensorIR is one of the core abstractions in the Apache TVM stack, used to represent and optimize primitive tensor functions. The TensorIR codebase consists of two modules (split from the former ``tir``): - **tirx** — Core IR definitions and lowering (PrimFunc, Buffer, SBlock, expressions, statements, lowering passes). - **s_tir** (Schedulable TIR) — Schedule primitives, MetaSchedule, DLight, and tensor intrinsics. In TVMScript, both modules are accessed via ``from tvm.script import tirx as T``. .. toctree:: :maxdepth: 2 abstraction learning tutorials/tir_creation tutorials/tir_transformation tutorials/dlight_gpu_scheduling tutorials/meta_schedule