go test -v -x -gcflags=-m -ldflags=-v p
stderr 'compile( |\.exe"?)'
stderr 'p_test.go:.*can inline Test' # from compile of p_test
stderr 'testmain\.go:.*inlin' # from compile of testmain
stderr 'link(\.exe"?)? -'
stderr '\d+ symbols' # from linker
stderr 'p\.test( |\.exe"?)'
stdout 'TEST' # from test

#include "absl/types/optional.h"
#include "tensorflow/compiler/jit/defs.h"
#include "tensorflow/compiler/jit/device_util.h"
#include "tensorflow/compiler/jit/flags.h"
#include "tensorflow/compiler/jit/resource_operation_safety_analysis.h"
#include "tensorflow/compiler/tf2xla/const_analysis.h"
#include "tensorflow/compiler/tf2xla/resource_operation_table.h"
#include "tensorflow/compiler/tf2xla/xla_op_registry.h"

        NativePlatformInternal nativePlatform = (NativePlatformInternal) targetPlatform.get();
        Compiler<AssembleSpec> compiler = nativeToolChain.select(nativePlatform).newCompiler(AssembleSpec.class);
        WorkResult result = BuildOperationLoggingCompilerDecorator.wrap(compiler).execute(spec);
        setDidWork(result.getDidWork() || cleanedOutputs);
    }

    @InputFiles
    @SkipWhenEmpty

        }
    }
}
// end::executables[]

// tag::compiler-args[]
model {
    binaries {
        all {
            // Define toolchain-specific compiler and linker options
            if (toolChain in Gcc) {
                cCompiler.args "-O2"
                linker.args "-Xlinker", "-S"
            }
            if (toolChain in VisualCpp) {
                cCompiler.args "/Zi"
                linker.args "/DEBUG"

For the example above this would mean the ABI extracted from the compile classpath would be unchanged, but the annotation processor classpath (because it's not treated with compile avoidance) would be different. Ultimately, the developer would end up having to recompile the application.

  let results = (outs TFTensorType);
  let assemblyFormat = "operands attr-dict";
}

def CompileAndExecuteOp: Gpu_Op<"compile_and_execute"> {
  let summary = "GPU compile and execute operation.";
  let description = [{
    The op compiles and executes a GPU cluster function.

    func_name is the name of the function to be executed on GPU.
    resource_indices are the indices of inputs that are resources.

 */
package org.gradle.api.internal.tasks.compile

import com.google.common.collect.ImmutableSet
import org.gradle.api.internal.file.TestFiles
import org.gradle.api.tasks.WorkResult
import org.gradle.api.tasks.compile.CompileOptions
import org.gradle.util.TestUtil
import spock.lang.Specification

class NormalizingJavaCompilerTest extends Specification {
    org.gradle.language.base.internal.compile.Compiler<JavaCompileSpec> target = Mock()

import org.gradle.api.tasks.WorkResult;
import org.gradle.language.base.internal.compile.Compiler;

import java.util.Collection;
import java.util.LinkedHashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;

/**
 * Sets up annotation processing before delegating to the actual Java compiler.
 */

 */

package org.gradle.api.internal.tasks.compile.incremental;

import org.gradle.api.file.FileTree;
import org.gradle.api.internal.cache.StringInterner;
import org.gradle.api.internal.tasks.compile.CleaningJavaCompiler;
import org.gradle.api.internal.tasks.compile.JavaCompileSpec;
import org.gradle.api.internal.tasks.compile.incremental.classpath.ClassSetAnalyzer;
import org.gradle.api.internal.tasks.compile.incremental.recomp.CurrentCompilationAccess;

            }

            target("alwaysCPlusPlus") {
                def compilerMap = [gcc: 'g++', clang: 'clang++']
                cCompiler.executable = compilerMap[cCompiler.executable]
                cCompiler.withArguments { args ->
                    Collections.replaceAll(args, "c", "c++")
                }
            }
        }
    }

    platforms {