}
	switch ctxt.Compiler {
	case "gccgo":
		pkgtargetroot = "pkg/gccgo_" + ctxt.GOOS + "_" + ctxt.GOARCH + suffix
	case "gc":
		pkgtargetroot = "pkg/" + ctxt.GOOS + "_" + ctxt.GOARCH + suffix
	default:
		// Save error for end of function.
		pkgerr = fmt.Errorf("import %q: unknown compiler %q", path, ctxt.Compiler)
	}
	setPkga := func() {
		switch ctxt.Compiler {
		case "gccgo":

#include "tensorflow/compiler/mlir/lite/quantization/ir/QuantOps.h"
#include "tensorflow/compiler/mlir/lite/transforms/passes.h"
#include "tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_utils.h"
#include "tensorflow/compiler/mlir/quantization/tensorflow/cc/run_passes.h"
#include "tensorflow/compiler/mlir/quantization/tensorflow/ops/tf_op_quant_spec.h"

		outputHdr := ""
		if len(output) > 0 {
			outputHdr = "\nCommand output:\n\n"
		}
		fatalf("cannot invoke C compiler %q: %v\n\n"+
			"Go needs a system C compiler for use with cgo.\n"+
			"To set a C compiler, set CC=the-compiler.\n"+
			"To disable cgo, set CGO_ENABLED=0.\n%s%s", cc, err, outputHdr, output)
	}
}

func defaulttarg() string {

#include "tensorflow/compiler/mlir/lite/ir/tfl_ops.h"
#include "tensorflow/compiler/mlir/lite/transforms/passes.h"
#include "tensorflow/compiler/mlir/lite/utils/attribute_utils.h"
#include "tensorflow/compiler/mlir/lite/utils/validators.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops_a_m.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops_n_z.h"

  """set TF_CUDA_CLANG action_env.

  Args:
    environ_cp: copy of the os.environ.
  """
  question = 'Do you want to use clang as CUDA compiler?'
  yes_reply = 'Clang will be used as CUDA compiler.'
  no_reply = 'nvcc will be used as CUDA compiler.'
  set_action_env_var(
      environ_cp,
      'TF_CUDA_CLANG',
      None,
      True,
      question=question,
      yes_reply=yes_reply,

#include "tensorflow/compiler/mlir/tensorflow/analysis/resource_alias_analysis.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_device.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_types.h"
#include "tensorflow/compiler/mlir/tensorflow/transforms/passes.h"
#include "tensorflow/compiler/mlir/tensorflow/transforms/resource_op_lifting_cleanup.h"

include::{snippetsPath}/native-binaries/windows-resources/groovy/build-resource-only-dll.gradle[tag=resource-only-library]
----

The example above also demonstrates the mechanism of passing extra command-line arguments to the resource compiler. The `rcCompiler` extension is of type link:{javadocPath}/org/gradle/nativeplatform/PreprocessingTool.html[PreprocessingTool].

[[sec:library_dependencies]]
== Library Dependencies

#include "tensorflow/compiler/mlir/tensorflow/ir/tf_device.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_structs.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_types.h"
#include "tensorflow/compiler/mlir/tensorflow/transforms/shape_inference.h"
#include "tensorflow/compiler/mlir/tensorflow/utils/attribute_utils.h"

					"kotlin-dsl-provider-plugins"
				]
			},
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},
				"subprojects":[
					"plugin-use",
					"native",
					"java-compiler-plugin",
					"file-temp",
					"concurrent",
					"functional",
					"test-suites-base",
					"internal-testing",
					"io",
					"testing-jvm-infrastructure",
					"cli"
				]
			},
			{

#include "absl/strings/str_join.h"
#include "tensorflow/compiler/jit/compilability_check_util.h"
#include "tensorflow/compiler/jit/deadness_analysis.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/jit/xla_cluster_util.h"