|===

[[sec:scala_compiler_plugins]]
== Adding plugins to the Scala compiler

The Scala plugin adds a configuration named `scalaCompilerPlugins` which is used to declare and resolve optional compiler plugins.

.Adding a dependency on a Scala compiler plugin
====

        Compiler<JavaCompileSpec> compiler = createCompiler();
        compiler = makeIncremental(inputs, (CleaningJavaCompiler<JavaCompileSpec>) compiler, getStableSources());
        performCompilation(spec, compiler);
    }

    private Compiler<JavaCompileSpec> makeIncremental(InputChanges inputs, CleaningJavaCompiler<JavaCompileSpec> compiler, FileCollection stableSources) {

import org.gradle.internal.operations.logging.BuildOperationLogger;
import org.gradle.internal.operations.logging.BuildOperationLoggerFactory;
import org.gradle.language.base.compile.CompilerVersion;
import org.gradle.language.base.internal.compile.Compiler;
import org.gradle.language.base.internal.compile.VersionAwareCompiler;
import org.gradle.language.swift.SwiftVersion;
import org.gradle.language.swift.tasks.internal.DefaultSwiftCompileSpec;

        executer.withTasks('idea').run()

        hasProjectLibrary('root.ipr', 'scala-compiler-2.10.0', ['compiler-bridge_2.10', 'scala-compiler-2.10.0', 'scala-library-2.10.0', 'scala-reflect-2.10.0', 'compiler-interface', 'util-interface'], [], [], [])

        Class<T> specType = Cast.uncheckedCast(spec.getClass());
        Compiler<T> baseCompiler = platformToolProvider.newCompiler(specType);
        Compiler<T> incrementalCompiler = this.incrementalCompiler.createCompiler(baseCompiler);
        Compiler<T> loggingCompiler = BuildOperationLoggingCompilerDecorator.wrap(incrementalCompiler);
        return loggingCompiler.execute(spec);
    }

#include "absl/container/flat_hash_set.h"
#include "tensorflow/compiler/jit/device_compiler.h"
#include "tensorflow/compiler/jit/flags.h"
#include "tensorflow/compiler/jit/pjrt_device_compiler_client.h"
#include "tensorflow/compiler/jit/pjrt_device_context.h"
#include "tensorflow/compiler/jit/variable_info.h"
#include "tensorflow/compiler/jit/variable_info_util.h"
#include "tensorflow/compiler/jit/xla_launch_util.h"

            return new DefaultExternalModuleDependency("org.scala-sbt", "compiler-bridge_" + scalaMajorMinorVersion, zincVersion);
        }
    }

    /**
     * Determines Scala compiler jar to download.
     *
     * @param scalaVersion version of scala to download the compiler for
     * @param scalaVersion version of scala to download the compiler for
     * @return compiler dependency to download
     */

Information about altering the dependencies to Java compile tasks are found <<building_java_projects.adoc#sec:building_jvm_lang,here>>.

`compileGroovy` — link:{groovyDslPath}/org.gradle.api.tasks.compile.GroovyCompile.html[GroovyCompile]::
_Depends on_: `compileJava`
+
Compiles production Groovy source files.

`compileTestGroovy` — link:{groovyDslPath}/org.gradle.api.tasks.compile.GroovyCompile.html[GroovyCompile]::

"""Build macro that compiles a TensorFlow graph into a cc_library.

To use from your BUILD file, add the following line to load the macro:

load("//tensorflow/compiler/aot:tfcompile.bzl", "tf_library")

Then call the macro like this:

tf_library(
    name = "test_graph_tfmatmul",
    config = "test_graph_tfmatmul.config.pbtxt",
    cpp_class = "MatMulComp",
    graph = ":test_graph_tfmatmul.pb",
)
"""

load(

        spec()
        builder.build()
    }

    Object compiles() {
        def sources = generatedCode.values().collect {
            new TestClassSource(it.className, it.generatedCode)
        }
        def srcDir = tmpDir.createDir("src")
        def dstDir = tmpDir.createDir("dst")
        SimpleGeneratedJavaClassCompiler.compile(srcDir, dstDir, sources, classPath)