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7f90d0ca34
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ec83d01dca
@ -10,7 +10,7 @@ These are the main components of the Recommendation Algorithm included in this r
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| Type | Component | Description |
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|------------|------------|------------|
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| Feature | [simclusters-ann](simclusters-ann/README.md) | Community detection and sparse embeddings into those communities. |
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| Feature | [SimClusters](src/scala/com/twitter/simclusters_v2/README.md) | Community detection and sparse embeddings into those communities. |
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| | [TwHIN](https://github.com/twitter/the-algorithm-ml/blob/main/projects/twhin/README.md) | Dense knowledge graph embeddings for Users and Tweets. |
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| | [trust-and-safety-models](trust_and_safety_models/README.md) | Models for detecting NSFW or abusive content. |
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| | [real-graph](src/scala/com/twitter/interaction_graph/README.md) | Model to predict likelihood of a Twitter User interacting with another User. |
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@ -24,10 +24,6 @@ class FollowRecommendationsServiceWarmupHandler @Inject() (warmup: ThriftWarmup)
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extends Handler
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with Logging {
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/**
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* this would need to be added to src/main/resources/client_whitelist.yml
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* if we implement ClientId filtering in the future
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*/
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private val clientId = ClientId("thrift-warmup-client")
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override def handle(): Unit = {
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@ -48,7 +44,7 @@ class FollowRecommendationsServiceWarmupHandler @Inject() (warmup: ThriftWarmup)
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RecommendationRequest(
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clientContext = clientContext,
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displayLocation = displayLocation,
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displayContext = Some(DisplayContext.Profile(Profile(12L))),
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displayContext = None,
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maxResults = Some(3),
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fetchPromotedContent = Some(false),
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debugParams = Some(DebugParams(doNotLog = Some(true)))
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@ -25,7 +25,7 @@ class ServerController @Inject() (
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.andThen(Service.mk(serverGetIntersectionHandler))
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val getIntersection: Service[GetIntersection.Args, GfsIntersectionResponse] = { args =>
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// TODO(yqian): Disable updateCache after HTL switch to use PresetIntersection endpoint.
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// TODO: Disable updateCache after HTL switch to use PresetIntersection endpoint.
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getIntersectionService(
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GetIntersectionRequest.fromGfsIntersectionRequest(args.request, cacheable = true))
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}
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@ -35,7 +35,7 @@ class ServerController @Inject() (
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GetPresetIntersection.Args,
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GfsIntersectionResponse
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] = { args =>
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// TODO(yqian): Refactor after HTL switch to PresetIntersection
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// TODO: Refactor after HTL switch to PresetIntersection
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val cacheable = args.request.presetFeatureTypes == PresetFeatureTypes.HtlTwoHop
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getIntersectionService(
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GetIntersectionRequest.fromGfsPresetIntersectionRequest(args.request, cacheable))
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@ -28,7 +28,7 @@ class ServerGetIntersectionHandler @Inject() (
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import ServerGetIntersectionHandler._
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// TODO(yqian): Track all the stats based on PresetFeatureType and update the dashboard
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// TODO: Track all the stats based on PresetFeatureType and update the dashboard
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private val stats: StatsReceiver = statsReceiver.scope("srv").scope("get_intersection")
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private val numCandidatesCount = stats.counter("total_num_candidates")
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private val numCandidatesStat = stats.stat("num_candidates")
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@ -1,13 +1,17 @@
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package com.twitter.graph_feature_service.server.handlers
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import com.twitter.finatra.thrift.routing.ThriftWarmup
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import com.twitter.graph_feature_service.thriftscala.EdgeType.{FavoritedBy, FollowedBy, Following}
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import com.twitter.graph_feature_service.thriftscala.EdgeType.FavoritedBy
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import com.twitter.graph_feature_service.thriftscala.EdgeType.FollowedBy
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import com.twitter.graph_feature_service.thriftscala.EdgeType.Following
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import com.twitter.graph_feature_service.thriftscala.Server.GetIntersection
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import com.twitter.graph_feature_service.thriftscala.{FeatureType, GfsIntersectionRequest}
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import com.twitter.graph_feature_service.thriftscala.FeatureType
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import com.twitter.graph_feature_service.thriftscala.GfsIntersectionRequest
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import com.twitter.inject.utils.Handler
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import com.twitter.scrooge.Request
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import com.twitter.util.logging.Logger
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import javax.inject.{Inject, Singleton}
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import javax.inject.Inject
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import javax.inject.Singleton
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import scala.util.Random
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@Singleton
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@ -15,14 +19,8 @@ class ServerWarmupHandler @Inject() (warmup: ThriftWarmup) extends Handler {
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val logger: Logger = Logger("WarmupHandler")
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private val testingAccounts: Array[Long] = {
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Seq(
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12L, //jack
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21447363L, // KATY PERRY
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42562446L, // Stephen Curry
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813286L // Barack Obama
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).toArray
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}
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// TODO: Add the testing accounts to warm-up the service.
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private val testingAccounts: Array[Long] = Seq.empty.toArray
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private def getRandomRequest: GfsIntersectionRequest = {
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GfsIntersectionRequest(
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@ -108,7 +108,7 @@ object IntersectionValueCalculator {
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}
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/**
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* TODO(yaow): for now it only computes intersection size. Will add more feature types (e.g., dot
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* TODO: for now it only computes intersection size. Will add more feature types (e.g., dot
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* product, maximum value).
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*
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* NOTE that this function assumes both x and y are SORTED arrays.
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@ -220,30 +220,7 @@ object HomeTweetTypePredicates {
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_.getOrElse(ConversationModule2DisplayedTweetsFeature, false)),
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("conversation_module_has_gap", _.getOrElse(ConversationModuleHasGapFeature, false)),
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("served_in_recap_tweet_candidate_module_injection", _ => false),
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("served_in_threaded_conversation_module", _ => false),
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(
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"author_is_elon",
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candidate =>
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candidate
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.getOrElse(AuthorIdFeature, None).contains(candidate.getOrElse(DDGStatsElonFeature, 0L))),
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(
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"author_is_power_user",
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candidate =>
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candidate
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.getOrElse(AuthorIdFeature, None)
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.exists(candidate.getOrElse(DDGStatsVitsFeature, Set.empty[Long]).contains)),
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(
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"author_is_democrat",
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candidate =>
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candidate
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.getOrElse(AuthorIdFeature, None)
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.exists(candidate.getOrElse(DDGStatsDemocratsFeature, Set.empty[Long]).contains)),
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(
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"author_is_republican",
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candidate =>
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candidate
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.getOrElse(AuthorIdFeature, None)
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.exists(candidate.getOrElse(DDGStatsRepublicansFeature, Set.empty[Long]).contains)),
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("served_in_threaded_conversation_module", _ => false)
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)
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val PredicateMap = CandidatePredicates.toMap
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@ -1,12 +1,10 @@
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package com.twitter.home_mixer.functional_component.feature_hydrator
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import com.twitter.config.yaml.YamlMap
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import com.twitter.finagle.tracing.Annotation.BinaryAnnotation
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import com.twitter.finagle.tracing.ForwardAnnotation
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import com.twitter.home_mixer.model.HomeFeatures._
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import com.twitter.home_mixer.model.request.DeviceContext.RequestContext
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import com.twitter.home_mixer.model.request.HasDeviceContext
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import com.twitter.home_mixer.param.HomeMixerInjectionNames.DDGStatsAuthors
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import com.twitter.joinkey.context.RequestJoinKeyContext
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import com.twitter.product_mixer.component_library.model.cursor.UrtOrderedCursor
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import com.twitter.product_mixer.core.feature.Feature
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@ -24,22 +22,16 @@ import com.twitter.snowflake.id.SnowflakeId
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import com.twitter.stitch.Stitch
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import java.util.UUID
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import javax.inject.Inject
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import javax.inject.Named
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import javax.inject.Singleton
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@Singleton
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class RequestQueryFeatureHydrator[
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Query <: PipelineQuery with HasPipelineCursor[UrtOrderedCursor] with HasDeviceContext] @Inject() (
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@Named(DDGStatsAuthors) ddgStatsAuthors: YamlMap)
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extends QueryFeatureHydrator[Query] {
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) extends QueryFeatureHydrator[Query] {
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override val features: Set[Feature[_, _]] = Set(
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AccountAgeFeature,
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ClientIdFeature,
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DDGStatsDemocratsFeature,
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DDGStatsRepublicansFeature,
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DDGStatsElonFeature,
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DDGStatsVitsFeature,
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DeviceLanguageFeature,
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GetInitialFeature,
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GetMiddleFeature,
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@ -59,10 +51,6 @@ class RequestQueryFeatureHydrator[
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override val identifier: FeatureHydratorIdentifier = FeatureHydratorIdentifier("Request")
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private val DarkRequestAnnotation = "clnt/has_dark_request"
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private val Democrats = "democrats"
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private val Republicans = "republicans"
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private val Elon = "elon"
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private val Vits = "vits"
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// Convert Language code to ISO 639-3 format
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private def getLanguageISOFormatByCode(languageCode: String): String =
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@ -83,16 +71,6 @@ class RequestQueryFeatureHydrator[
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val featureMap = FeatureMapBuilder()
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.add(AccountAgeFeature, query.getOptionalUserId.flatMap(SnowflakeId.timeFromIdOpt))
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.add(ClientIdFeature, query.clientContext.appId)
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/**
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* These author ID lists are used purely for metrics collection. We track how often we are
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* serving Tweets from these authors and how often their tweets are being impressed by users.
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* This helps us validate in our A/B experimentation platform that we do not ship changes
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* that negatively impacts one group over others.
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*/
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.add(DDGStatsDemocratsFeature, ddgStatsAuthors.longSeq(Democrats).toSet)
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.add(DDGStatsRepublicansFeature, ddgStatsAuthors.longSeq(Republicans).toSet)
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.add(DDGStatsVitsFeature, ddgStatsAuthors.longSeq(Vits).toSet)
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.add(DDGStatsElonFeature, ddgStatsAuthors.longValue(Elon))
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.add(DeviceLanguageFeature, query.getLanguageCode.map(getLanguageISOFormatByCode))
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.add(
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GetInitialFeature,
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@ -176,10 +176,6 @@ object HomeFeatures {
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override def personalDataTypes: Set[pd.PersonalDataType] = Set(pd.PersonalDataType.ClientType)
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}
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object CachedScoredTweetsFeature extends Feature[PipelineQuery, Seq[hmt.CachedScoredTweet]]
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object DDGStatsElonFeature extends Feature[PipelineQuery, Long]
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object DDGStatsVitsFeature extends Feature[PipelineQuery, Set[Long]]
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object DDGStatsDemocratsFeature extends Feature[PipelineQuery, Set[Long]]
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object DDGStatsRepublicansFeature extends Feature[PipelineQuery, Set[Long]]
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object DeviceLanguageFeature extends Feature[PipelineQuery, Option[String]]
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object DismissInfoFeature
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extends FeatureWithDefaultOnFailure[PipelineQuery, Map[st.SuggestType, Option[DismissInfo]]] {
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@ -1,18 +1,5 @@
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package com.twitter.home_mixer.module
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import com.google.inject.Provides
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import com.twitter.config.yaml.YamlMap
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import com.twitter.home_mixer.param.HomeMixerInjectionNames.DDGStatsAuthors
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import com.twitter.inject.TwitterModule
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import javax.inject.Named
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import javax.inject.Singleton
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object HomeMixerResourcesModule extends TwitterModule {
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private val AuthorsFile = "/config/authors.yml"
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@Provides
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@Singleton
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@Named(DDGStatsAuthors)
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def providesDDGStatsAuthors(): YamlMap = YamlMap.load(AuthorsFile)
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}
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object HomeMixerResourcesModule extends TwitterModule {}
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@ -4,7 +4,6 @@ object HomeMixerInjectionNames {
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final val AuthorFeatureRepository = "AuthorFeatureRepository"
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final val CandidateFeaturesScribeEventPublisher = "CandidateFeaturesScribeEventPublisher"
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final val CommonFeaturesScribeEventPublisher = "CommonFeaturesScribeEventPublisher"
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final val DDGStatsAuthors = "DDGStatsAuthors"
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final val EarlybirdRepository = "EarlybirdRepository"
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final val EngagementsReceivedByAuthorCache = "EngagementsReceivedByAuthorCache"
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final val GraphTwoHopRepository = "GraphTwoHopRepository"
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@ -122,7 +122,7 @@ enum FullTypeId {
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// TFT_TENSOR[TFT_INT32, TFT_UNKNOWN]
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// is a Tensor of int32 element type and unknown shape.
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//
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// TODO(mdan): Define TFT_SHAPE and add more examples.
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// TODO: Define TFT_SHAPE and add more examples.
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TFT_TENSOR = 1000;
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// Array (or tensorflow::TensorList in the variant type registry).
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@ -178,7 +178,7 @@ enum FullTypeId {
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// object (for now).
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// The bool element type.
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// TODO(mdan): Quantized types, legacy representations (e.g. ref)
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// TODO
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TFT_BOOL = 200;
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// Integer element types.
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TFT_UINT8 = 201;
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@ -195,7 +195,7 @@ enum FullTypeId {
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TFT_DOUBLE = 211;
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TFT_BFLOAT16 = 215;
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// Complex element types.
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// TODO(mdan): Represent as TFT_COMPLEX[TFT_DOUBLE] instead?
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// TODO: Represent as TFT_COMPLEX[TFT_DOUBLE] instead?
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TFT_COMPLEX64 = 212;
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TFT_COMPLEX128 = 213;
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// The string element type.
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@ -240,7 +240,7 @@ enum FullTypeId {
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// ownership is in the true sense: "the op argument representing the lock is
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// available".
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// Mutex locks are the dynamic counterpart of control dependencies.
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// TODO(mdan): Properly document this thing.
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// TODO: Properly document this thing.
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//
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// Parametrization: TFT_MUTEX_LOCK[].
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TFT_MUTEX_LOCK = 10202;
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@ -271,6 +271,6 @@ message FullTypeDef {
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oneof attr {
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string s = 3;
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int64 i = 4;
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// TODO(mdan): list/tensor, map? Need to reconcile with TFT_RECORD, etc.
|
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// TODO: list/tensor, map? Need to reconcile with TFT_RECORD, etc.
|
||||
}
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||||
}
|
||||
|
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@ -23,7 +23,7 @@ message FunctionDefLibrary {
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||||
// with a value. When a GraphDef has a call to a function, it must
|
||||
// have binding for every attr defined in the signature.
|
||||
//
|
||||
// TODO(zhifengc):
|
||||
// TODO:
|
||||
// * device spec, etc.
|
||||
message FunctionDef {
|
||||
// The definition of the function's name, arguments, return values,
|
||||
|
||||
@ -61,7 +61,7 @@ message NodeDef {
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||||
// one of the names from the corresponding OpDef's attr field).
|
||||
// The values must have a type matching the corresponding OpDef
|
||||
// attr's type field.
|
||||
// TODO(josh11b): Add some examples here showing best practices.
|
||||
// TODO: Add some examples here showing best practices.
|
||||
map<string, AttrValue> attr = 5;
|
||||
|
||||
message ExperimentalDebugInfo {
|
||||
|
||||
@ -96,7 +96,7 @@ message OpDef {
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||||
// Human-readable description.
|
||||
string description = 4;
|
||||
|
||||
// TODO(josh11b): bool is_optional?
|
||||
// TODO: bool is_optional?
|
||||
|
||||
// --- Constraints ---
|
||||
// These constraints are only in effect if specified. Default is no
|
||||
@ -139,7 +139,7 @@ message OpDef {
|
||||
// taking input from multiple devices with a tree of aggregate ops
|
||||
// that aggregate locally within each device (and possibly within
|
||||
// groups of nearby devices) before communicating.
|
||||
// TODO(josh11b): Implement that optimization.
|
||||
// TODO: Implement that optimization.
|
||||
bool is_aggregate = 16; // for things like add
|
||||
|
||||
// Other optimizations go here, like
|
||||
|
||||
@ -53,7 +53,7 @@ message MemoryStats {
|
||||
|
||||
// Time/size stats recorded for a single execution of a graph node.
|
||||
message NodeExecStats {
|
||||
// TODO(tucker): Use some more compact form of node identity than
|
||||
// TODO: Use some more compact form of node identity than
|
||||
// the full string name. Either all processes should agree on a
|
||||
// global id (cost_id?) for each node, or we should use a hash of
|
||||
// the name.
|
||||
|
||||
@ -16,7 +16,7 @@ option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/framewo
|
||||
message TensorProto {
|
||||
DataType dtype = 1;
|
||||
|
||||
// Shape of the tensor. TODO(touts): sort out the 0-rank issues.
|
||||
// Shape of the tensor. TODO: sort out the 0-rank issues.
|
||||
TensorShapeProto tensor_shape = 2;
|
||||
|
||||
// Only one of the representations below is set, one of "tensor_contents" and
|
||||
|
||||
@ -532,7 +532,7 @@ message ConfigProto {
|
||||
|
||||
// We removed the flag client_handles_error_formatting. Marking the tag
|
||||
// number as reserved.
|
||||
// TODO(shikharagarwal): Should we just remove this tag so that it can be
|
||||
// TODO: Should we just remove this tag so that it can be
|
||||
// used in future for other purpose?
|
||||
reserved 2;
|
||||
|
||||
@ -576,7 +576,7 @@ message ConfigProto {
|
||||
// - If isolate_session_state is true, session states are isolated.
|
||||
// - If isolate_session_state is false, session states are shared.
|
||||
//
|
||||
// TODO(b/129330037): Add a single API that consistently treats
|
||||
// TODO: Add a single API that consistently treats
|
||||
// isolate_session_state and ClusterSpec propagation.
|
||||
bool share_session_state_in_clusterspec_propagation = 8;
|
||||
|
||||
@ -704,7 +704,7 @@ message ConfigProto {
|
||||
|
||||
// Options for a single Run() call.
|
||||
message RunOptions {
|
||||
// TODO(pbar) Turn this into a TraceOptions proto which allows
|
||||
// TODO Turn this into a TraceOptions proto which allows
|
||||
// tracing to be controlled in a more orthogonal manner?
|
||||
enum TraceLevel {
|
||||
NO_TRACE = 0;
|
||||
@ -781,7 +781,7 @@ message RunMetadata {
|
||||
repeated GraphDef partition_graphs = 3;
|
||||
|
||||
message FunctionGraphs {
|
||||
// TODO(nareshmodi): Include some sort of function/cache-key identifier?
|
||||
// TODO: Include some sort of function/cache-key identifier?
|
||||
repeated GraphDef partition_graphs = 1;
|
||||
|
||||
GraphDef pre_optimization_graph = 2;
|
||||
|
||||
@ -194,7 +194,7 @@ service CoordinationService {
|
||||
|
||||
// Report error to the task. RPC sets the receiving instance of coordination
|
||||
// service agent to error state permanently.
|
||||
// TODO(b/195990880): Consider splitting this into a different RPC service.
|
||||
// TODO: Consider splitting this into a different RPC service.
|
||||
rpc ReportErrorToAgent(ReportErrorToAgentRequest)
|
||||
returns (ReportErrorToAgentResponse);
|
||||
|
||||
|
||||
@ -46,7 +46,7 @@ message DebugTensorWatch {
|
||||
// are to be debugged, the callers of Session::Run() must use distinct
|
||||
// debug_urls to make sure that the streamed or dumped events do not overlap
|
||||
// among the invocations.
|
||||
// TODO(cais): More visible documentation of this in g3docs.
|
||||
// TODO: More visible documentation of this in g3docs.
|
||||
repeated string debug_urls = 4;
|
||||
|
||||
// Do not error out if debug op creation fails (e.g., due to dtype
|
||||
|
||||
@ -12,7 +12,7 @@ option java_package = "org.tensorflow.util";
|
||||
option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/protobuf/for_core_protos_go_proto";
|
||||
|
||||
// Available modes for extracting debugging information from a Tensor.
|
||||
// TODO(cais): Document the detailed column names and semantics in a separate
|
||||
// TODO: Document the detailed column names and semantics in a separate
|
||||
// markdown file once the implementation settles.
|
||||
enum TensorDebugMode {
|
||||
UNSPECIFIED = 0;
|
||||
@ -223,7 +223,7 @@ message DebuggedDevice {
|
||||
// A debugger-generated ID for the device. Guaranteed to be unique within
|
||||
// the scope of the debugged TensorFlow program, including single-host and
|
||||
// multi-host settings.
|
||||
// TODO(cais): Test the uniqueness guarantee in multi-host settings.
|
||||
// TODO: Test the uniqueness guarantee in multi-host settings.
|
||||
int32 device_id = 2;
|
||||
}
|
||||
|
||||
@ -264,7 +264,7 @@ message Execution {
|
||||
// field with the DebuggedDevice messages.
|
||||
repeated int32 output_tensor_device_ids = 9;
|
||||
|
||||
// TODO(cais): When backporting to V1 Session.run() support, add more fields
|
||||
// TODO support, add more fields
|
||||
// such as fetches and feeds.
|
||||
}
|
||||
|
||||
|
||||
@ -7,7 +7,7 @@ option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/protobu
|
||||
|
||||
// Used to serialize and transmit tensorflow::Status payloads through
|
||||
// grpc::Status `error_details` since grpc::Status lacks payload API.
|
||||
// TODO(b/204231601): Use GRPC API once supported.
|
||||
// TODO: Use GRPC API once supported.
|
||||
message GrpcPayloadContainer {
|
||||
map<string, bytes> payloads = 1;
|
||||
}
|
||||
|
||||
@ -172,7 +172,7 @@ message WaitQueueDoneRequest {
|
||||
}
|
||||
|
||||
message WaitQueueDoneResponse {
|
||||
// TODO(nareshmodi): Consider adding NodeExecStats here to be able to
|
||||
// TODO: Consider adding NodeExecStats here to be able to
|
||||
// propagate some stats.
|
||||
}
|
||||
|
||||
|
||||
@ -94,7 +94,7 @@ message ExtendSessionRequest {
|
||||
}
|
||||
|
||||
message ExtendSessionResponse {
|
||||
// TODO(mrry): Return something about the operation?
|
||||
// TODO: Return something about the operation?
|
||||
|
||||
// The new version number for the extended graph, to be used in the next call
|
||||
// to ExtendSession.
|
||||
|
||||
@ -176,7 +176,7 @@ message SavedBareConcreteFunction {
|
||||
// allows the ConcreteFunction to be called with nest structure inputs. This
|
||||
// field may not be populated. If this field is absent, the concrete function
|
||||
// can only be called with flat inputs.
|
||||
// TODO(b/169361281): support calling saved ConcreteFunction with structured
|
||||
// TODO: support calling saved ConcreteFunction with structured
|
||||
// inputs in C++ SavedModel API.
|
||||
FunctionSpec function_spec = 4;
|
||||
}
|
||||
|
||||
@ -17,7 +17,7 @@ option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/protobu
|
||||
|
||||
// Special header that is associated with a bundle.
|
||||
//
|
||||
// TODO(zongheng,zhifengc): maybe in the future, we can add information about
|
||||
// TODO: maybe in the future, we can add information about
|
||||
// which binary produced this checkpoint, timestamp, etc. Sometime, these can be
|
||||
// valuable debugging information. And if needed, these can be used as defensive
|
||||
// information ensuring reader (binary version) of the checkpoint and the writer
|
||||
|
||||
@ -188,7 +188,7 @@ message DeregisterGraphRequest {
|
||||
}
|
||||
|
||||
message DeregisterGraphResponse {
|
||||
// TODO(mrry): Optionally add summary stats for the graph.
|
||||
// TODO: Optionally add summary stats for the graph.
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
@ -294,7 +294,7 @@ message RunGraphResponse {
|
||||
|
||||
// If the request asked for execution stats, the cost graph, or the partition
|
||||
// graphs, these are returned here.
|
||||
// TODO(suharshs): Package these in a RunMetadata instead.
|
||||
// TODO: Package these in a RunMetadata instead.
|
||||
StepStats step_stats = 2;
|
||||
CostGraphDef cost_graph = 3;
|
||||
repeated GraphDef partition_graph = 4;
|
||||
|
||||
@ -13,5 +13,5 @@ message LogMetadata {
|
||||
SamplingConfig sampling_config = 2;
|
||||
// List of tags used to load the relevant MetaGraphDef from SavedModel.
|
||||
repeated string saved_model_tags = 3;
|
||||
// TODO(b/33279154): Add more metadata as mentioned in the bug.
|
||||
// TODO: Add more metadata as mentioned in the bug.
|
||||
}
|
||||
|
||||
@ -58,7 +58,7 @@ message FileSystemStoragePathSourceConfig {
|
||||
|
||||
// A single servable name/base_path pair to monitor.
|
||||
// DEPRECATED: Use 'servables' instead.
|
||||
// TODO(b/30898016): Stop using these fields, and ultimately remove them here.
|
||||
// TODO: Stop using these fields, and ultimately remove them here.
|
||||
string servable_name = 1 [deprecated = true];
|
||||
string base_path = 2 [deprecated = true];
|
||||
|
||||
@ -76,7 +76,7 @@ message FileSystemStoragePathSourceConfig {
|
||||
// check for a version to appear later.)
|
||||
// DEPRECATED: Use 'servable_versions_always_present' instead, which includes
|
||||
// this behavior.
|
||||
// TODO(b/30898016): Remove 2019-10-31 or later.
|
||||
// TODO: Remove 2019-10-31 or later.
|
||||
bool fail_if_zero_versions_at_startup = 4 [deprecated = true];
|
||||
|
||||
// If true, the servable is always expected to exist on the underlying
|
||||
|
||||
@ -9,7 +9,7 @@ import "tensorflow_serving/config/logging_config.proto";
|
||||
option cc_enable_arenas = true;
|
||||
|
||||
// The type of model.
|
||||
// TODO(b/31336131): DEPRECATED.
|
||||
// TODO: DEPRECATED.
|
||||
enum ModelType {
|
||||
MODEL_TYPE_UNSPECIFIED = 0 [deprecated = true];
|
||||
TENSORFLOW = 1 [deprecated = true];
|
||||
@ -31,7 +31,7 @@ message ModelConfig {
|
||||
string base_path = 2;
|
||||
|
||||
// Type of model.
|
||||
// TODO(b/31336131): DEPRECATED. Please use 'model_platform' instead.
|
||||
// TODO: DEPRECATED. Please use 'model_platform' instead.
|
||||
ModelType model_type = 3 [deprecated = true];
|
||||
|
||||
// Type of model (e.g. "tensorflow").
|
||||
|
||||
@ -231,7 +231,7 @@ object TypeaheadEventCandidate {
|
||||
/**
|
||||
* Canonical TweetAnnotationQueryCandidate model. Always prefer this version over all other variants.
|
||||
*
|
||||
* TODO(jhara) Remove score from the candidate and use a Feature instead
|
||||
* TODO Remove score from the candidate and use a Feature instead
|
||||
*/
|
||||
final class TweetAnnotationQueryCandidate private (
|
||||
override val id: String,
|
||||
|
||||
@ -8,7 +8,6 @@ import scala.collection.mutable.ListBuffer
|
||||
* The helper class encodes and decodes tweet ids with tweetypie's card information
|
||||
* when querying recos salsa library. Inside salsa library, all tweet ids are
|
||||
* encoded with card information for the purpose of inline filtering.
|
||||
* TODO (wenqih) change TweetIDMask to a mask interface for future extension
|
||||
*/
|
||||
class BipartiteGraphHelper(graph: BipartiteGraph) {
|
||||
private val tweetIDMask = new TweetIDMask
|
||||
|
||||
Loading…
Reference in New Issue
Block a user