Attribute Classify TOP node

Creates a new attribute to classify work items by their unique attribute values

On this page	Top_attributes Parameters
Since	21.0

This node creates a new integer class attribute for each unique combination of existing attributes on the input work items. For example, if you have 100 input work items with a scale and color attribute, you can use this node to identify each distinct combination of scale and color.

TOP Attributes ¶

This node create a single attribute named class by default. The name of the attribute can be changed using the Class Attribute parameter.

class

int

An integer that corresponds to the class for the work item. The class value starts at 0, and increases for reach unique input attribute configuration.

Parameters ¶

Create

Generate When

Determines when this node will generate work items. You should generally leave this set to “Automatic” unless you know the node requires a specific generation mode, or that the work items need to be generated dynamically.

All Upstream Items are Generated

This node will generate work items once all of the input nodes have generated their work items.

All Upstream Items are Cooked

This node will generate work items once all of the input nodes have cooked their work items.

Each Upstream Item is Cooked

This node will generate work items each time a work item in an input node is cooked.

Automatic

The generation mode is selected based on the generation mode of the input nodes. If any of the input nodes are generating work items when their inputs cook, this node will be set to Each Upstream Item is Cooked. Otherwise, it will be set to All Upstream Items are Generated.

Classify When

When on, set it to an expression that’s evaluated for each upstream work item. Work items will only be considered when creating class attributes if the expression evaluates to a non-zero value.

Classify

Class Attribute

The name of the integer attribute that’s created to store the class number for each work item.

Create Class For

Determines how the attributes used for classifiation should be grouped.

Each Matching Attribute

Each classification attribute is processed individually. A work item can be in multiple classes, one for each attribute value. For example, if there are four input work items with attributes a and b that are being classified, then each unique value for either a or b results in a new class.

a	b	class
`0`	`0`	`0, 1`
`0`	`1`	`0, 2`
`4`	`0`	`3, 1`
`4`	`1`	`3, 2`

All Matching Attributes

All classification attributes are processed as a single unique combination. A work item is always in exaclty one distinct class.

a	b	class
`0`	`0`	`0`
`0`	`1`	`1`
`4`	`0`	`2`
`4`	`1`	`3`

On No Match

Determines how work items that are missing the classification attributes should be handled.

Exclude Work Item

The work item is excluded completely, as if it had been filtered out.

Exclude Class Attribute

The work item passes through the node without having the Class Attribute added to it.

Use Default Class

The work item is assigned to the Default Class.

Use Unmatched Class

A new class is created at the end of the class numbers to hold all unmatched work items.

Default Class

When On No Match is set to Use Default Class, specifies the default class number for unmatched work items.

Attributes

Specify Names Using

Determines how the list of attribute names used for classification is specified.

Attribute Patrern

Attribute names are specified using an attribute pattern.

String Attribute

Attribute names are specfied as a list in an existing string attribute, for example wedgeattribs.

Attribute List

Attribute names are specified using a multi-parm list.

On Missing Attribute

Determines whether a missing attribute should cause the node to report an error, a warning, or silently be ignored.

Attribute Pattern

When Specify Names Using is set to Attribute Pattern, specifies the pattern to use for generating the list of attribute name(s) for classification.

Attribute Name

When Specify Names Using is set to String Attribute, specifies the name of the string attribute that contains one or more attribute name to use for classification.

Attribute Names

When Specify Names Using is set top Attribute List, specifies the number of attributes in the list.

Attribute Name

An attribute name list entry.

See also

TOP nodes

Attribute Array

Creates and modifies array attributes on work items.
Attribute Classify

Creates a new attribute to classify work items by their unique attribute values
Attribute Copy

Copies attributes from work items in one branch onto work items in another branch.
Attribute Create

Creates or sets an attribute on all incoming work items.
Attribute Delete

Removes attributes from work items.
Attribute Dictionary

Modifies dictionary attributes by adding key/value pairs, removing keys, or merging existing dictionaries
Attribute Promote

Copies attributes and fields between work items, global attributes, and output files
Attribute Randomize

Create randomly-generated integer and float attributes on work items.
Attribute Reduce

Reduces array attribute values to a single value.
Attribute Rename

Renames attributes on work items.
Attribute String Edit

Edits string attribute values.
Attribute from File

Parses attribute values from a file into work items.
Attribute from Parameters

Creates a dictionary attribute filled with parameters from a target node
Attribute from String

Parses attribute values from a string, such as a file name.
Block Begin Feedback

Starts a feedback loop. TOP nodes within the block execute serially, optionally looping for each incoming work item.
Block End Feedback

Ends a feedback loop. TOP nodes within the block execute serially, optionally looping for each incoming work item.
CSV Input

Copies data from a CSV file into work item attributes.
CSV Output

Writes work item attributes to a CSV file.
Deadline Scheduler

The PDG scheduler for Thinkbox’s Deadline software.
Download File

Downloads the contents from one or more URLs into files.
Environment Edit

Edits the variables set in the environment work item command lines execute in.
Error

Issues warnings or errors when a condition is met.
FFmpeg Encode Video

Encodes a sequence of still images as a video file.
FFmpeg Extract Images

Extracts a sequence of still images from a video file.
File Compress

Compress files into an archive.
File Copy

Copies a file from one location to another, either at runtime or whenever the node generates.
File Decompress

Decompresses archive files specified by incoming work items into individual files.
File Pattern

Creates work items based on files that match a certain pattern.
File Range

Creates a range of work items based on files that match a certain pattern.
File Remove

Deletes a file at a specified path.
File Rename

Renames or moves a file.
Filter by Attribute

Filters upstream work items by their attribute names or values
Filter by Expression

Conditionally filters upstream work items.
Filter by Range

Filter upstream work items that fall within a specified frame or attribute range.
Filter by State

Filters upstream work items by their state
Generic Generator

Generates work items with no attributes that run a command line.
Geometry Import

Loads points or primitives from a SOP or geometry file into work item attributes or a temporary file.
HDA Processor

Creates work items that cook a digital asset
HQueue Scheduler

Schedules work items using HQueue.
Houdini Block Begin

Starts a Houdini service block
ImageMagick

Provides easy access to ImageMagick functionality such as mass image convert, resize, and image mosaics.
In Process Scheduler

Controls the scheduling of in-process work items.
Invoke

Invokes a compiled block on input geometry
JSON Input

Extracts data from JSON files and creates attributes
JSON Output

Performs various operations that produce JSON output
Labs Archive Project

Utility TOP to Collect and Archive current HIP file dependencies
Labs Concatenate Text

Merges one or more text files into a single file.
Labs Cut Geometry to Partitions

Cuts up incoming geometry
Labs Data Diff

Diffs a variety of geometry, text and image files.
Labs Extract Image Metadata

Extracts image metadata, such as the resolution, bit depth, color model, etc.
Labs File Cache Filter

Partition work items used for file caching
Labs File Cache Partitioner

Partitions and generates work items based on range and wedge values for file cache.
Labs Filter by Value

Filters one or multiple work items by specific attribute values.
Labs Generate from Imageplanes

Generates work items based on image planes found in an image
Labs ML CV ROP Synthetic Data

The base template for synthetic dataset pipelines.
Labs Wedge

Creates work items with varying attribute values.
Local Scheduler

Schedules work items on the local machine.
ML Preprocess OIDN

Processes training and validation datasets for OIDN model training.
ML Regression Kernel

Trains a neural network for regression.
ML Train OIDN

Trains an OIDN model using preprocessed training and validation datasets.
ML Train Regression

Trains a neural network for regression.
ML Train Style Transfer

Trains a neural network for doing style transfer between image pairs
Make Directory
Maya Block Begin

Starts a Maya service block
Merge

Merge all upstream work items
Node Pattern

Creates work items based on matched nodes.
Nuke Block Begin

Starts a Nuke service block
Null

Does nothing
OP Notify

Notify an OP node that some TOP work has completed
OpenImageIO

Provides easy access to the OpenImageIO’s command line tool, also known as oiiotool, to perform operations on images such as color space conversion, color mapping, resizing, text overlay, and box overlay.
Output

Subnet output
Partition by Attribute

Partitions work items based on their attributes
Partition by Bounds

Partitions source items spatially using the bounding items.
Partition by Combination

Partitions work items into pairs, triples, etc
Partition by Comparison

Partitions work items using existing comparisons
Partition by Expression

Partitions work items based on an expression
Partition by Frame

Partitions work items based on their frame
Partition by Index

Partitions work items based on their index
Partition by Iteration

Partitions work items based on their feedback loop iteration.
Partition by Node

Partitions work items based on their node
Partition by Range

Partition work items based on range values
Partition by Tile

Partitions work items spatially using axis-aligned bounding boxes.
Perforce

Execute Perforce commands through PDG
Preflight

Copies a list of files into the scheduler’s working directory
Python Block Begin

Starts a Python service block
Python Partitioner

Partitions work items using a Python script
Python Processor

Generates work items using a Python script.
Python Scheduler

A Python-based programmable Scheduler for PDG.
Python Script

Creates work items that run a Python script.
Python Virtual Environment

Creates a Python virtual environment using TOPs
ROP Alembic Output

Creates work items that cook an embedded Alembic ROP node
ROP Composite Output

Creates work items that cook an embedded Composite ROP node
ROP FBX Output

Creates work items that cook an embedded FBX ROP node
ROP Fetch

Creates work items that cook a ROP node or network.
ROP Flipbook Render

Creates work items that cook an embedded Flipbook ROP node
ROP GLTF Output

Creates work items that cook an embedded GLTF ROP node
ROP Geometry Output

Creates work items that cook an embedded Geometry ROP node
ROP Image Output

Creates work items that cook an embedded Image ROP node
ROP Karma Render

Creates work items that cook an embedded Karma ROP node.
ROP Mantra Render

Creates work items that cook an embedded Mantra ROP node
ROP OpenGL Render

Creates work items that cook an embedded OpenGL ROP node
ROP USD Output

Creates work items that cook an embedded USD ROP node
Range Extend

Extend the frame range of upstream work items and adds new work items as necessary
Range Generate

Generates work items for the specified range.
Remote Graph

Connected to a remotely executing TOP graph and displays the nodes from that graph
Render IFD

Creates work items that render an IFD file with Mantra
SQL Input
SQL Output
Send Email

Sends an email.
Service Block End

Ends a service block.
Service Block Send

Sends code to a service block to execute.
Service Create

Creates a PDG service.
Service Delete

Deletes a PDG service.
Service Reset

Resets a PDG service.
Service Start

Starts a PDG service.
Service Stop

Stops a PDG service.
ShotGrid Create

Creates ShotGrid entities
ShotGrid Delete

Deletes entities from ShotGrid
ShotGrid Download

Downloads ShotGrid attachments
ShotGrid Find

Finds ShotGrid entities
ShotGrid Server Begin

Starts a persistent ShotGrid command server
Shotgun Update

Updates shotgun entities
Shotgun Upload

Uploads files to shotgun
Sort

Sorts work items by a list of attributes
Split

Splits upstream items in two
Split by Count

Splits upstream items into two using a fixed count
Subnetwork

Container for TOP nodes
Switch

Switch which between network branches
TOP Fetch

Cooks another TOP network.
TOP Fetch Input

Input to a TOP fetch-ed network
Text Output

Writes text to a new file or appends to an existing file.
Tractor Scheduler

Schedules work items using Pixar’s Tractor.
URL Request

Creates work items that request data from a URL.
USD Add Assets to Gallery

Adds USD assets to the Asset Catalog.
USD Analyze

Fetches metadata, dependencies, and external references for a LOP Node or file.
USD Import Data

Creates work items from prims found in a USD stage.
USD Import Files

Creates work items from file references found in a USD stage.
USD Modify Paths

Modify asset path attribute values.
USD Render Files

Creates work items that render a USD file.
USD Render Scene

Creates work items that render a USD file or LOP network
Wait for All

Waits for all upstream work items to complete.
Wedge

Creates work items with varying attribute values.
Work Item Expand

Expands file lists or partitions into multiple work items
Work Item Import

Import work items from a .json file or another TOP node.
Xml Input

Extracts data from XML into Work Item attributes