Request

Response

    Executor Specific Payloads

    Bifrost executor payload

    Using the Bifrost executor, this payload needs to be provided when submitting a job using the Create job endpoint. Currently Bifrost 2.9.0.0 will be used when submitting job using the Bifrost executor if no version is provided in the payload options.

    Working with Bifrost graphs

    Use Maya to create and edit a Bifrost graph. See the documentation on how to build and modify graphs. Once a graph is created, it can be published as a JSON file. This graph file can be used with the Bifrost executor inside the Flow Graph Engine API. See the Maya documentation on publishing effects as graphs. Typically, to find value in running a graph on the Flow Graph Engine, the graph will be built and configured to produce some output file(s) on disk that can be retrieved as output in the API.

    Available Bifrost versions

    When using the Bifrost executor, different versions of Bifrost are available to execute a graph. It is strongly recommended to select the exact version of Bifrost for which the graph was created using the bifrostVersion attribute in the options. The currently available versions are 2.9.0.0, 2.10.0.0, and 2.11.0.0. It is recommended to always provide the bifrostVersion option as the default bifrost version being used when it is not provided is subject to change in the future.

    Payload Structure

    Expand all
    payload*
    object
    Specifies the Bifrost-specific information indicating what Bifrost should do.
    action*
    enum:string
    Specifies the overall action that Bifrost should perform for this job. Possible values: Evaluate, ListPorts
    options*
    object
    Additional options for this job.
    compound*
    string
    Specifies the fully qualified name for the Bifrost compound to evaluate.
    frames
    object
    Specifies which frames the job should iterate over. Using this option implies that this is a multi-frame sequential evaluation.
    start
    int
    The number of the first frame in the sequence.
    end
    int
    The number of the last frame in the sequence.
    fps
    number
    The frames per second value to use together with the frames to deduce time.
    terminalStates
    array: object
    The state of the terminals for the executions
    name*
    string
    The fully qualified name of the port description of the terminal.
    enabled*
    boolean
    Whether the given terminal is enabled when the graph is executed.
    *
    maxPerExecutionTimeInSeconds
    int
    Max execution time for each execution, specified in seconds. The API will attempt to limit the execution to run for no longer than this. Can be set to up to 86400 seconds (24 hours).

    Note: Additional limitations may apply, meaning that a execution may be canceled prior to reaching this limit.

    bifrostVersion
    string
    The version of Bifrost to be used to execute the graph. The default is 2.9.0.0
    definitionFiles
    array: object
    The list of Bifrost definition files to load
    details
    object
    Provides task executor-specific additional details for the input resource
    source*
    one of
    Represents an external storage location, either a URI or a reference info a storage space.
    URI storage location*
    object
    A URI where a particular resource is located.
    uri*
    string
    The resource URI
    **
    Space storage location*
    object
    Represents a storage location within a specific storage space
    key*
    string
    The unique key within the storage space that refers to the particular object within the space.
    spaceId*
    string
    An ID for a specific storage space, unique within the job
    **
    target
    object
    Describes how a resource is mapped to a local view, e.g. a file path where the resource should be placed or found.
    path
    string
    A file system path referring to a location on disk. File system paths are always interpreted as Posix style and will always be transformed into relative paths. This includes them being case sensitive, and in addition control characters are not permitted.

    Max length: 4000

    ports
    object
    The list of ports to set
    inputPorts
    array: object
    List of input ports to set
    name*
    string
    The name of the port to be set.
    value*
    string
    The value to set, as a JSON value serialized to string
    type*
    string
    The port type.
    *
    jobPorts
    array: object
    List of job ports to set
    name*
    string
    The name of the port to be set.
    value*
    string
    The value to set, as a JSON value serialized to string
    type*
    string
    The port type.
    *
    executions
    array: object
    List of executions of the Bifrost graph to perform. Each execution specifies a set of configurations to be applied to the graph.
    inputs
    array: object
    List of inputs that are required for this execution.
    details
    object
    Provides task executor-specific additional details for the input resource
    source*
    one of
    Represents an external storage location, either a URI or a reference info a storage space.
    URI storage location*
    object
    A URI where a particular resource is located.
    uri*
    string
    The resource URI
    **
    Space storage location*
    object
    Represents a storage location within a specific storage space
    key*
    string
    The unique key within the storage space that refers to the particular object within the space.
    spaceId*
    string
    An ID for a specific storage space, unique within the job
    **
    target
    object
    Describes how a resource is mapped to a local view, e.g. a file path where the resource should be placed or found.
    path
    string
    A file system path referring to a location on disk. File system paths are always interpreted as Posix style and will always be transformed into relative paths. This includes them being case sensitive, and in addition control characters are not permitted.

    Max length: 4000

    outputs
    array: object
    List of expected outputs for this execution.
    details
    object
    Additional executor-specific details for the expected output from a task.
    source
    object
    Describes how a resource is mapped to a local view, e.g. a file path where the resource should be placed or found.
    path
    string
    A file system path referring to a location on disk. File system paths are always interpreted as Posix style and will always be transformed into relative paths. This includes them being case sensitive, and in addition control characters are not permitted.

    Max length: 4000

    target*
    object
    Information about an expected output from a task. The output can be retrieved by clients using the resulting output path, which has the general format ‘[/{taskName}][/{taskIndex}]/{outputName}’, where the output name corresponds to the name property of the output.
    name*
    string
    A ‘path’ identifier to uniquely access an output or log produced by a task. The general format is ‘[/{taskName}][/{executionIndex}]/{outputName}’.
    jobPorts
    array: object
    List of job ports to set for this execution.
    name*
    string
    The name of the port to be set.
    value*
    string
    The value to set, as a JSON value serialized to string
    type*
    string
    The port type.
    *
    inputPorts
    array: object
    List of input ports to set for this execution.
    name*
    string
    The name of the port to be set.
    value*
    string
    The value to set, as a JSON value serialized to string
    type*
    string
    The port type.
    *
    templateRange
    one of
    The range of values that the template should be instantiated over.
    Range sequence
    object
    A range of integers from start to end (inclusive).
    start*
    int
    The first value in the range
    end*
    int
    The last value in the range
    *
    Range array
    array: integer
    A sequence of integers to be used as a range in a template.
    frameId
    one of
    Sets the frame number for the execution.

    Note: Frame Ids must be set for all or none of the executions.

    Frame Id
    int
    Frame Id to use to set time for this execution.
    Frame Id Template
    string
    Template that is instanced to generate the Frame Ids for templated executions.
    *
    * Required

    Templated Executions

    Templating facilitates the definition of multiple executions by specifying patterns and mappings. The templateRange attribute specifies a range or list of numbers that can be used to replace patterns in file paths, and in the frameId attribute. The typical use case is to create a series of executions mapping to specific frames with different inputs. Note that job ports and input ports cannot have patterns as part of the template.

    Here is an example of how to use the templateRange attribute in the payload along with the frameId attribute:

    {
      "executions": [
        {
          "templateRange": {
            "start": 5,
            "end": 10
          },
          "frameId": "{executionId:01d}",
          "inputPorts": [],
          "jobPorts": [],
          "inputs": [
            {
              "source": {
                "key": "graph_inputs.{executionId:04d}.bob",
                "spaceId": "scratch:@default"
              },
              "target": {
                "path": "graph_inputs/graph_inputs.{executionId:04d}.bob"
              }
            }
          ],
          "outputs": [
            {
              "source": {
                "path": "output{executionId:03d}.bob"
              },
              "target": {
                "name": "output{executionId:03d}.bob"
              }
            }
          ]
        }
      ]
    }
    
    Show More

    In this example, the templateRange attribute specifies a range from 5 to 10. One execution is created for each number in the range by replacing executionId in patterns in the inputs and outputs as well as in the optional frameId attribute. The frameId attribute maps each execution to a frame, so the associated Bifrost graph will be executed for frames 5 through 10.

    Format String in Patterns

    The format strings follow the Python format syntax. Formatted string literals (also called f-strings) let you include the value of Python expressions inside a string by writing expressions as {expression}. An optional format specifier can follow the expression to control how the value is formatted. Currently, the only expression allowed is executionId, which will be replaced by a number from the template range when an execution is created from a templated execution.

    For example, if you have an input file named graph_inputs.###.bob for a file cache writing node in Bifrost, the corresponding format string should be graph_inputs.{executionId:03d}.bob for the input field in the payload. The expression {executionId:03d} is substituted for the current number from the template range, zero-padded to three digits.

    Executions Ordering and Merging

    All executions that specify the same frame ID are merged into a single execution, and executions are performed ordered by frame ID, smallest first. If frame IDs are not specified in the executions, they are performed in the order they appear in the task definition. Note that either all or none of the executions should specify a frame ID.

    In this example, the definitions for frame 5 within the templated execution and for the specific execution for frameId 5 will be combined into one:

    {
      "executions": [
        {
          "templateRange": {
            "start": 1,
            "end": 10
          },
          "frameId": "{executionId:01d}",
          "outputs": [
            {
              "source": {
                "key": "graph_outputs.{executionId:04d}.bob",
                "spaceId": "scratch:@default"
              },
              "target": {
                "path": "graph_outputs/graph_outputs.{executionId:04d}.bob"
              }
            }
          ]
        },
        {
          "frameId": 5,
          "inputs": [
            {
              "source": {
                "key": "graph_inputs.0005.bob",
                "spaceId": "scratch:@default"
              },
              "target": {
                "path": "graph_inputs/graph_inputs.0005.bob"
              }
            }
          ]
        }
      ]
    }
    
    Show More

    Optional frames Attribute

    The optional frames attribute can be used to specify the start and end frames for sequential multi-frame executions. When a frame range is specified, the set of executions is validated to ensure there is one execution per frame. When frame IDs are not explicitly specified on the executions, the executions will be mapped to frames using the frames range, and the number of executions must match the number of frames in the range.

    Here is an example of how to use the frames attribute in the payload:

    {
      "options": {
        "frames": {
          "start": 11,
          "end": 20
        }
      },
      "executions": [
        {
          "templateRange": {
            "start": 1,
            "end": 10
          },
          "inputs": [
            {
              "source": {
                "key": "graph_inputs.{executionId:04d}.bob",
                "spaceId": "scratch:@default"
              },
              "target": {
                "path": "graph_inputs/graph_inputs.{executionId:04d}.bob"
              }
            }
          ]
        }
      ]
    }
    
    Show More

    The templateRange attribute generates input files using the numbers 1 to 10, and the frames attribute sets the frame IDs to 11 through 20 for the executions.

    Please be aware that a mismatch between the template range and frame IDs may lead to mismatched file paths during the execution of the graph. This can happen for instance if the Bifrost graph contains file patterns that need to be replaced by frame IDs, but the file paths where instantiated using a mismatched template range. This can lead to failure to perform the execution, or to unexpected results.

     
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    We use Yahoo! Japan to deploy digital advertising on sites supported by Yahoo! Japan. Ads are based on both Yahoo! Japan data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Yahoo! Japan has collected from you. We use the data that we provide to Yahoo! Japan to better customize your digital advertising experience and present you with more relevant ads. Yahoo! Japan Privacy Policy
    Naver
    We use Naver to deploy digital advertising on sites supported by Naver. Ads are based on both Naver data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Naver has collected from you. We use the data that we provide to Naver to better customize your digital advertising experience and present you with more relevant ads. Naver Privacy Policy
    Quantcast
    We use Quantcast to deploy digital advertising on sites supported by Quantcast. Ads are based on both Quantcast data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Quantcast has collected from you. We use the data that we provide to Quantcast to better customize your digital advertising experience and present you with more relevant ads. Quantcast Privacy Policy
    Call Tracking
    We use Call Tracking to provide customized phone numbers for our campaigns. This gives you faster access to our agents and helps us more accurately evaluate our performance. We may collect data about your behavior on our sites based on the phone number provided. Call Tracking Privacy Policy
    Wunderkind
    We use Wunderkind to deploy digital advertising on sites supported by Wunderkind. Ads are based on both Wunderkind data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Wunderkind has collected from you. We use the data that we provide to Wunderkind to better customize your digital advertising experience and present you with more relevant ads. Wunderkind Privacy Policy
    ADC Media
    We use ADC Media to deploy digital advertising on sites supported by ADC Media. Ads are based on both ADC Media data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that ADC Media has collected from you. We use the data that we provide to ADC Media to better customize your digital advertising experience and present you with more relevant ads. ADC Media Privacy Policy
    AgrantSEM
    We use AgrantSEM to deploy digital advertising on sites supported by AgrantSEM. Ads are based on both AgrantSEM data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AgrantSEM has collected from you. We use the data that we provide to AgrantSEM to better customize your digital advertising experience and present you with more relevant ads. AgrantSEM Privacy Policy
    Bidtellect
    We use Bidtellect to deploy digital advertising on sites supported by Bidtellect. Ads are based on both Bidtellect data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bidtellect has collected from you. We use the data that we provide to Bidtellect to better customize your digital advertising experience and present you with more relevant ads. Bidtellect Privacy Policy
    Bing
    We use Bing to deploy digital advertising on sites supported by Bing. Ads are based on both Bing data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bing has collected from you. We use the data that we provide to Bing to better customize your digital advertising experience and present you with more relevant ads. Bing Privacy Policy
    G2Crowd
    We use G2Crowd to deploy digital advertising on sites supported by G2Crowd. Ads are based on both G2Crowd data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that G2Crowd has collected from you. We use the data that we provide to G2Crowd to better customize your digital advertising experience and present you with more relevant ads. G2Crowd Privacy Policy
    NMPI Display
    We use NMPI Display to deploy digital advertising on sites supported by NMPI Display. Ads are based on both NMPI Display data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that NMPI Display has collected from you. We use the data that we provide to NMPI Display to better customize your digital advertising experience and present you with more relevant ads. NMPI Display Privacy Policy
    VK
    We use VK to deploy digital advertising on sites supported by VK. Ads are based on both VK data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that VK has collected from you. We use the data that we provide to VK to better customize your digital advertising experience and present you with more relevant ads. VK Privacy Policy
    Adobe Target
    We use Adobe Target to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Adobe Target Privacy Policy
    Google Analytics (Advertising)
    We use Google Analytics (Advertising) to deploy digital advertising on sites supported by Google Analytics (Advertising). Ads are based on both Google Analytics (Advertising) data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Google Analytics (Advertising) has collected from you. We use the data that we provide to Google Analytics (Advertising) to better customize your digital advertising experience and present you with more relevant ads. Google Analytics (Advertising) Privacy Policy
    Trendkite
    We use Trendkite to deploy digital advertising on sites supported by Trendkite. Ads are based on both Trendkite data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Trendkite has collected from you. We use the data that we provide to Trendkite to better customize your digital advertising experience and present you with more relevant ads. Trendkite Privacy Policy
    Hotjar
    We use Hotjar to deploy digital advertising on sites supported by Hotjar. Ads are based on both Hotjar data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Hotjar has collected from you. We use the data that we provide to Hotjar to better customize your digital advertising experience and present you with more relevant ads. Hotjar Privacy Policy
    6 Sense
    We use 6 Sense to deploy digital advertising on sites supported by 6 Sense. Ads are based on both 6 Sense data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that 6 Sense has collected from you. We use the data that we provide to 6 Sense to better customize your digital advertising experience and present you with more relevant ads. 6 Sense Privacy Policy
    Terminus
    We use Terminus to deploy digital advertising on sites supported by Terminus. Ads are based on both Terminus data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Terminus has collected from you. We use the data that we provide to Terminus to better customize your digital advertising experience and present you with more relevant ads. Terminus Privacy Policy
    StackAdapt
    We use StackAdapt to deploy digital advertising on sites supported by StackAdapt. Ads are based on both StackAdapt data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that StackAdapt has collected from you. We use the data that we provide to StackAdapt to better customize your digital advertising experience and present you with more relevant ads. StackAdapt Privacy Policy
    The Trade Desk
    We use The Trade Desk to deploy digital advertising on sites supported by The Trade Desk. Ads are based on both The Trade Desk data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that The Trade Desk has collected from you. We use the data that we provide to The Trade Desk to better customize your digital advertising experience and present you with more relevant ads. The Trade Desk Privacy Policy
    RollWorks
    We use RollWorks to deploy digital advertising on sites supported by RollWorks. Ads are based on both RollWorks data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that RollWorks has collected from you. We use the data that we provide to RollWorks to better customize your digital advertising experience and present you with more relevant ads. RollWorks Privacy Policy

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    Your experience. Your choice.

    We care about your privacy. The data we collect helps us understand how you use our products, what information you might be interested in, and what we can improve to make your engagement with Autodesk more rewarding.

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