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platforms/core-configuration/graph-serialization/src/main/kotlin/org/gradle/internal/serialize/graph/package-info.java

 *  Deserialization, on the other hand, is performed by a {@link org.gradle.internal.serialize.graph.DecodingProvider}.
 *  </p>
 *  <p>Both protocols are highly specialized and, as such, they are specified as Single Abstract Method interfaces.</p>
 *
 *  <h3>Codecs</h3>

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/tensorflow/translate/export_graphdef.h

#include "tensorflow/compiler/mlir/tensorflow/translate/mlir_roundtrip_flags.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/framework/graph.pb.h"
#include "tensorflow/core/framework/node_def.pb.h"
#include "tensorflow/core/graph/graph.h"

namespace tensorflow {

ABSL_DEPRECATED("Use tensorflow::tf2xla::api::ConvertMlirToGraphdef instead.")
// Given an MLIR module, returns a GraphDef.

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github.com/gradle/gradle

platforms/core-configuration/configuration-cache/src/main/kotlin/org/gradle/internal/cc/impl/isolation/IsolatedActionSerializer.kt

import org.gradle.internal.serialize.graph.BeanStateReaderLookup
import org.gradle.internal.serialize.graph.BeanStateWriterLookup
import org.gradle.internal.serialize.graph.ClassDecoder
import org.gradle.internal.serialize.graph.ClassEncoder
import org.gradle.internal.serialize.graph.DefaultReadContext
import org.gradle.internal.serialize.graph.DefaultWriteContext
import org.gradle.internal.serialize.graph.IsolateOwner

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc

      VLOG(2) << "Run MLIR graph optimization pass: " << StringRefToView(name);
      VLOG(2) << "Graph #nodes " << (*graph)->num_nodes() << " #edges "
              << (*graph)->num_edges();
      timings.Reset({kTfMlirCategory, name.str()});
      pass_status = pass_registration.pass->Run(
          function_name, config_proto, *module_ref, **graph, *flib_def);
      timings.ReportAndStop();

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/tf2xla/api/v2/tf_executor_to_graph.cc

  std::unique_ptr<Graph> graph;
  TF_RETURN_IF_ERROR(ConvertMlirToGraph(module, configs, &graph, &flib_def));

  // If the entry function is exported to flib, then no graph is constructed.
  // Construct one in that case.
  if (configs.export_entry_func_to_flib) {
    graph = std::make_unique<Graph>(OpRegistry::Global());
    TF_RETURN_IF_ERROR(
        graph->mutable_flib_def()->AddLibrary(std::move(flib_def)));

Registered: Sun Jun 16 05:45:23 UTC 2024

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github.com/gradle/gradle

platforms/core-configuration/configuration-cache/src/main/kotlin/org/gradle/internal/cc/impl/ConfigurationCacheAwareBuildTreeWorkController.kt

            }
        }
        val executionResult = workGraph.withNewWorkGraph { graph ->
            val result = cache.loadOrScheduleRequestedTasks(
                graph = graph,
                graphBuilder = scheduleTaskSelectorPostProcessing
            ) { workPreparer.scheduleRequestedTasks(graph, taskSelector) }
            if (!result.wasLoadedFromCache && !result.entryDiscarded && startParameter.loadAfterStore) {

Registered: Wed Jun 12 18:38:38 UTC 2024

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github.com/gradle/gradle

platforms/core-configuration/core-serialization-codecs/src/main/kotlin/org/gradle/internal/serialize/codecs/core/DefaultCopySpecCodec.kt

import org.gradle.internal.serialize.graph.Codec
import org.gradle.internal.serialize.graph.ReadContext
import org.gradle.internal.serialize.graph.WriteContext
import org.gradle.internal.serialize.graph.decodePreservingIdentity
import org.gradle.internal.serialize.graph.encodePreservingIdentityOf
import org.gradle.internal.serialize.graph.readEnum
import org.gradle.internal.serialize.graph.readList

Registered: Wed Jun 12 18:38:38 UTC 2024

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/tensorflow/translate/tf_mlir_translate_registration.cc

    GraphdefToSplattedMlirTranslateFunction);

static Status CompileGraph(tensorflow::Graph* graph,
                           xla::CompileOnlyClient* client) {
  if (!graph || !client) {
    return Status(absl::StatusCode::kInvalidArgument,
                  "Invalid graph or client");
  }

  tensorflow::FunctionDefLibrary flib;

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github.com/gradle/gradle

platforms/core-configuration/core-serialization-codecs/src/main/kotlin/org/gradle/internal/serialize/codecs/core/ProviderCodecs.kt

import org.gradle.internal.serialize.graph.codecs.BeanCodec
import org.gradle.internal.serialize.graph.codecs.Bindings
import org.gradle.internal.serialize.graph.Codec
import org.gradle.internal.serialize.graph.IsolateContext
import org.gradle.internal.serialize.graph.MutableIsolateContext
import org.gradle.internal.serialize.graph.ReadContext
import org.gradle.internal.serialize.graph.WriteContext

Registered: Wed Jun 12 18:38:38 UTC 2024

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github.com/gradle/gradle

platforms/core-configuration/dependency-management-serialization-codecs/src/main/kotlin/org/gradle/internal/serialize/codecs/dm/transform/TransformStepCodec.kt

import org.gradle.internal.serialize.graph.Codec
import org.gradle.internal.serialize.graph.ReadContext
import org.gradle.internal.serialize.graph.WriteContext
import org.gradle.internal.serialize.graph.decodePreservingSharedIdentity
import org.gradle.internal.serialize.graph.encodePreservingSharedIdentityOf
import org.gradle.internal.serialize.graph.readNonNull


class TransformStepCodec(

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