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Advanced Build Configuration

Table of Contents

Optional Components

USD contains several optional components that are enabled by default but may be disabled when invoking cmake. Disabling these components removes the need for their dependencies when building USD.

Imaging

This component contains Hydra, a high-performance graphics rendering engine.

Disable this component by specifying the cmake flag PXR_BUILD_IMAGING=FALSE when invoking cmake. Disabling this component will also disable the USD Imaging component.

USD Imaging

This component provides the USD imaging delegates for Hydra, as well as usdview, a standalone native viewer for USD files.

Disable this component by specifying the cmake flag PXR_BUILD_USD_IMAGING=FALSE when invoking cmake. Enabling this component will enable the Imaging component.

Plugins

USD provides several plugins for integration with third-party software packages, including Maya, Katana, and Alembic. There is additional documentation on each plugin here. These plugins are not built by default and must be enabled via the instructions below.

Alembic Plugin

Enable the Alembic plugin in the build by specifying the cmake flag PXR_BUILD_ALEMBIC_PLUGIN=TRUE when invoking cmake. This plugin is compatible with Alembic 1.5.2. The additional dependencies that must be supplied when invoking cmake are:

Dependency Name Description Version
ALEMBIC_LOCATION The location of Alembic 1.5.2
HDF5_LOCATION The location of HDF5 1.8.11

For further information see the documentation on the Alembic plugin here.

Maya Plugin

Enable the Maya plugin in the build by specifying the cmake flag PXR_BUILD_MAYA_PLUGIN=TRUE when invoking cmake. This plugin is compatible with Maya 2016. The additional dependencies that must be supplied when invoking cmake are:

Dependency Name Description Version
MAYA_LOCATION The root path to a Maya SDK install Maya 2016
MAYA_tbb_LIBRARY The location of TBB, this should be the same as TBB_tbb_LIBRARY provided to the core USD build

For further information see the documentation on the Maya plugin here.

Katana Plugin

Enable the Katana plugin in the build by specifying the cmake flag PXR_BUILD_KATANA_PLUGIN=TRUE when invoking cmake. This plugin is compatible with Katana 2.0v5. The additional dependencies that must be supplied when invoking cmake are:

Dependency Name Description Version
KATANA_API_LOCATION The root path to a Katana SDK install. 2.0v5

For further information see our additional documentation on the Katana plugins here.

Other Build Options

Plugin Metadata Location

Each library in the USD core generally has an associated file named 'plugInfo.json' that contains metadata about that library, such as the schema types provided by that library. These files are consumed by USD's internal plugin system to lazily load libraries when needed.

The plugin system requires knowledge of where these metadata files are located. The cmake build will ensure this is set up properly based on the install location of the build. However, if you plan to relocate these files to a new location after the build, you must inform the build by setting the cmake variable PXR_INSTALL_LOCATION to the intended final directory where these files will be located. This variable may be a ':'-delimited list of paths.

USD Developer Options

ASCII Parser Editing/Validation

There is an ASCII parser for the USD file format, which can be found in sdf. Most users will not have a need to edit the parser, but for the adventurous ones, there are a couple additional requirements.

If you choose to edit the ASCII parsers, make sure PXR_VALIDATE_GENERATED_CODE is set to TRUE. This flag enables tests that check the generated code in sdf and gf.

Dependency Name Description Version
FLEX_EXECUTABLE Path to flex executable 2.5.35
BISON_EXECUTABLE Path to bison executable 2.4.1
USD Schema Generation

USD generates some code through a process called [schema generation]. This process requires the following python modules be installed and available on the syspath. You can learn more about Schemas and why you might want to generate them here.

Python Module Name Description Version
Jinja2 Jinja is the core code generator of usdGenSchema 2.0
Argparse Argparse is used for basic command line arguments

Optimization Options

There are certain optimizations that can be enabled in the build.

Malloc Library

We've found that USD performs best with allocators such as Jemalloc. In support of this, you can specify your own allocator through PXR_MALLOC_LIBRARY. This variable should be set to a path to a shared object for the allocator. For example,

-DPXR_MALLOC_LIBRARY:path=/usr/local/lib/libjemalloc.so

If none are specified, the default allocator will be used. More information on getting the most out of USD can be found Getting the Best Performance with USD.