## Dependencies for groups of *path operations*

		imp := ForCompiler(fset, compiler, lookup)
		pkg, err := imp.Import("math/bigger")
		if err != nil {
			t.Fatal(err)
		}
		// Even though we open math/big.a, the import request was for math/bigger
		// and that should be recorded in pkg.Path(), at least for the gc toolchain.
		if pkg.Path() != "math/bigger" {
			t.Fatalf("Path() = %q, want %q", pkg.Path(), "math/bigger")
		}
	})

// generates a cc_test rule for you.

// These macros must be defined before eigen files are included.
#define EIGEN_USE_THREADS
#define EIGEN_USE_CUSTOM_THREAD_POOL

// clang-format off
#include "{{TFCOMPILE_HEADER}}"  // NOLINT(whitespace/braces)
// clang-format on

#include "unsupported/Eigen/CXX11/Tensor"  // from @eigen_archive
#include "tensorflow/core/platform/byte_order.h"

## Abhängigkeiten für Gruppen von *Pfadoperationen*

flatbuffer_cc_library(
    name = "schema_fbs_with_mutable",
    srcs = ["schema.fbs"],
    compatible_with = get_compatible_with_portable(),
    flatc_args = [
        "--gen-mutable",
        "--gen-object-api",
    ],
    out_prefix = "mutable/",
)

# Generic schema for inference on device (but with reflections makes bigger).
flatbuffer_cc_library(

// generates a cc_test rule for you.

// These macros must be defined before eigen files are included.
#define EIGEN_USE_THREADS
#define EIGEN_USE_CUSTOM_THREAD_POOL

// clang-format off
#include "{{TFCOMPILE_HEADER}}"  // NOLINT(whitespace/braces)
// clang-format on

#include "testing/base/public/benchmark.h"
#include <gtest/gtest.h>
#include "unsupported/Eigen/CXX11/Tensor"  // from @eigen_archive

// generates a cc_binary rule for you.

// These macros must be defined before eigen files are included.
#define EIGEN_USE_THREADS
#define EIGEN_USE_CUSTOM_THREAD_POOL

// clang-format off
#include "{{TFCOMPILE_HEADER}}"  // NOLINT(whitespace/braces)
// clang-format on

#include "tensorflow/compiler/aot/benchmark.h"
#include "unsupported/Eigen/CXX11/Tensor"

// Macros that expand to tokens based on the entry point name.

    {!> ../../../docs_src/dependencies/tutorial006.py!}
    ```

## Dependencies for a group of *path operations*

Later, when reading about how to structure bigger applications ([Bigger Applications - Multiple Files](../../tutorial/bigger-applications.md){.internal-link target=_blank}), possibly with multiple files, you will learn how to declare a single `dependencies` parameter for a group of *path operations*.

  Tensor values(DT_HALF, {vectorSize});
  tags.vec<tstring>()(0) = "tag1";
  tags.vec<tstring>()(1) = "tag2";
  tags.vec<tstring>()(2) = "tag3";
  values.vec<Eigen::half>()(0) = Eigen::half(1.0);
  values.vec<Eigen::half>()(1) = Eigen::half(-2.0);
  values.vec<Eigen::half>()(2) = Eigen::half(10000.0);
  TestScalarSummaryOp(&tags, &values, R"(
                      value { tag: 'tag1' simple_value: 1.0 }

  private static CharBuffer grow(CharBuffer buf) {
    char[] copy = Arrays.copyOf(buf.array(), buf.capacity() * 2);
    CharBuffer bigger = CharBuffer.wrap(copy);
    Java8Compatibility.position(bigger, buf.position());
    Java8Compatibility.limit(bigger, buf.limit());
    return bigger;
  }

  /** Handle the case of underflow caused by needing more input characters. */
  private void readMoreChars() throws IOException {