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# Copyright 2026 The OpenXLA 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.
# ==============================================================================
toc:
- heading: XLA documentation
- title: Getting started
# This is the default tab for the Getting started section.
section:
- title: Introduction
path: /xla
- title: XLA architecture overview
path: /xla/architecture
- title: XLA terminology
path: /xla/terminology
- title: XLA flags guidance
path: /xla/flags_guidance
- title: Topical guides
# This is the default tab for the Topical guides section.
section:
- title: Journey from HLO to executable
path: /xla/hlo_to_thunks
# XLA Ops sub-section
- heading: XLA Ops
- title: Operation semantics
path: /xla/operation_semantics
- title: HLO Passes
path: /xla/hlo_passes
- title: Aliasing
path: /xla/aliasing
- title: Async HLO instructions
path: /xla/async_ops
# Data representation sub-section
- heading: Data representation
- title: Shapes and layout
path: /xla/shapes
- title: Tiled layout
path: /xla/tiled_layout
- title: Symbolic expressions and maps
path: /xla/symbolic_expression
- title: Indexing Analysis
path: /xla/indexing
- title: Broadcasting
path: /xla/broadcasting
# GPU backend sub-section
- heading: GPU backend
- title: GPU architecture
path: /xla/gpu_architecture
- title: GPU Emitters
path: /xla/emitters
- title: Persisted autotuning
path: /xla/persisted_autotuning
- title: Determinism (GPU)
path: /xla/determinism
# TPU backend sub-section
- heading: TPU backend
- title: Sparsecore (embeddings)
path: /xla/sparsecore
- title: Megascale
path: /xla/megascale/overview
# Performance sub-section
- heading: Performance
- title: LHS Cost Model
path: /xla/lhs_cost_model
- title: Effort Levels
path: /xla/effort_levels
# Advanced guides sub-section
- heading: Advanced guides
- title: Write custom calls
path: /xla/custom_call
- title: Develop a new backend for XLA
path: /xla/developing_new_backend
- title: Debugging
section:
# This is the default tab for the Debugging section.
- heading: XLA tooling
- title: Dump HLO computations
path: /xla/hlo_dumps
- title: Errors overview
path: /xla/errors_overview
- title: Error codes
path: /xla/error_codes
- title: Debug OOM errors with XProf
path: /xla/oom_debugging
- title: Debug Megascale
path: /xla/megascale/debugging_workflow
# XLA Tools sub-section
- heading: XLA tools
- title: XLA tooling
path: /xla/tools
- title: Multi-host HLO runner
path: /xla/tools_multihost_hlo_runner
- title: Contributing
# This is the default tab for the Contributing section.
section:
- title: Developer guide
path: /xla/developer_guide
- title: Set up development environment
path: /xla/developer_environment
- title: Build from source
path: /xla/build_from_source
- title: Testing HLO passes
path: /xla/test_hlo_passes
- title: Copybara quirks
path: /xla/copybara
- title: PJRT plugins
# This is the default tab for the PJRT section.
section:
- title: "PJRT - Uniform Device API"
path: /xla/pjrt/overview
- title: PJRT C++ API overview
path: /xla/pjrt/cpp_api_overview
- title: Develop a new PJRT plugin
path: /xla/pjrt/pjrt_integration
- title: PJRT examples
path: /xla/pjrt/examples
- title: XLA frontends
# This is the default tab for the XLA frontends section.
section:
- title: JAX
path: https://docs.jax.dev/en/latest/notebooks/thinking_in_jax.html
status: external
- title: "PyTorch/XLA"
path: https://docs.pytorch.org/xla/release/r2.8/index.html#pytorch-xla-documentation
status: external
- heading: TensorFlow
- title: Use XLA in TensorFlow
path: /xla/tf2xla
- title: Autoclustering tutorial
path: /xla/tf2xla/tutorials/autoclustering_xla
- title: Use XLA with tf.function
path: /xla/tf2xla/tutorials/jit_compile