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# Copyright 2026 The TensorFlow Authors. All Rights Reserved.
#
# Licensed 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.
# ==============================================================================
book_path: /mlir/_book.yaml
project_path: /mlir/_project.yaml
description: An intermediate representation and compiler framework, MLIR unifies the
infrastructure for high-performance ML models in TensorFlow.
landing_page:
custom_css_path: /site-assets/css/style.css
rows:
- heading: MLIR unifies the infrastructure for high-performance ML models in TensorFlow.
items:
- description: >
The <a href="https://mlir.llvm.org/" class="external">MLIR</a> project defines a common
intermediate representation (IR) that unifies the infrastructure required to execute high
performance machine learning models in TensorFlow and similar ML frameworks. This project
will include the application of HPC techniques, along with integration of
search algorithms like reinforcement learning. MLIR aims to reduce the
cost to bring up new hardware, and improve usability for existing
TensorFlow users.
- code_block: |
<pre class = "prettyprint">
// Syntactically similar to LLVM:
func @testFunction(%arg0: i32) {
%x = call @thingToCall(%arg0) : (i32) -> i32
br ^bb1
^bb1:
%y = arith.addi %x, %x : i32
return %y : i32
}
</pre>
- classname: devsite-landing-row-cards
items:
- heading: "Multi-Level Intermediate Representation for Compiler Infrastructure"
youtube_id: qzljG6DKgic
buttons:
- label: Watch the video
path: https://www.youtube.com/watch?v=qzljG6DKgic
- heading: "A new intermediate representation and compiler framework"
image_path: /resources/images/tf-logo-card-16x9.png
path: https://blog.tensorflow.org/2019/04/mlir-new-intermediate-representation.html
buttons:
- label: Read on TensorFlow blog
path: https://blog.tensorflow.org/2019/04/mlir-new-intermediate-representation.html
- heading: MLIR on GitHub
image_path: /resources/images/github-card-16x9.png
path: https://github.com/llvm/llvm-project/tree/main/mlir
buttons:
- label: View on GitHub
path: https://github.com/llvm/llvm-project/tree/main/mlir
- heading: TensorFlow MLIR on GitHub
image_path: /resources/images/github-card-16x9.png
path: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/compiler/mlir
buttons:
- label: View on GitHub
path: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/compiler/mlir