"Encountered while processing input ", i, " into function '", fn_name,
        "'");
    TF_RETURN_WITH_CONTEXT_IF_ERROR(ValidateNonRefOutput(node, idx),
                                    "Encountered while processing input ", i,
                                    " into function '", fn_name, "'");

    input_tensors->emplace_back(node, idx);

    const auto& iter = input_nodes->find(node);

#include "tensorflow/core/platform/errors.h"

namespace tensorflow {

AbstractContext* BuildFunction(const char* fn_name) {
  std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(
      TF_NewStatus(), TF_DeleteStatus);
  TF_ExecutionContext* graph_ctx = TF_CreateFunction(fn_name, status.get());
  return unwrap(graph_ctx);
}

Status CreateParamsForInputs(AbstractContext* ctx,

  }
  msg += ")";

  return errors::InvalidArgument(msg.c_str());
}

static TracingContext* CreateTracingExecutionContext(const char* fn_name,
                                                     TF_Status* s) {
  if (default_factory) {
    return default_factory(fn_name, s);
  }
  tsl::Set_TF_Status_from_Status(
      s, errors::FailedPrecondition("default_factory is nullptr"));
  return nullptr;
}

        [](const std::string& input_name, const StringRef fn_name) {
          return absl::StrCat(fn_name.str(), "_", input_name);
        });
  }
  if (need_prefix_for_output_name) {
    absl::c_transform(
        output_name_vec, fn_output_name_vec, output_name_vec.begin(),
        [](const std::string& output_name, const StringRef fn_name) {
          return absl::StrCat(fn_name.str(), "_", output_name);
        });
  }
}

};

using Cache = DeviceCompilationCache<FakeExecutable>;
using Signature = DeviceCompilationClusterSignature;

absl::StatusOr<Signature> BuildSampleSignature(const std::string& fn_name) {
  NameAttrList fn;
  fn.set_name(fn_name);
  std::vector<XlaCompiler::Argument> args(1);
  args[0].kind = XlaCompiler::Argument::kConstant;
  args[0].type = DT_INT32;
  args[0].shape = TensorShape({4, 0});

#include "tensorflow/c/tf_tensor.h"
#include "tensorflow/core/platform/status.h"

namespace tensorflow {

// Builds and returns a `TracingContext` using the default tracing impl.
AbstractContext* BuildFunction(const char* fn_name);

// Creates parameters (placeholders) in the tracing `ctx` using the shape and
// dtype of `inputs`.
Status CreateParamsForInputs(AbstractContext* ctx,

  *f = new MlirFunction(std::move(context_), std::move(module_), func_);
  return absl::OkStatus();
}

extern "C" {
TracingContext* MlirTracingFactory(const char* fn_name, TF_Status* s) {
  return new MlirFunctionContext(fn_name);
}
}

}  // namespace
}  // namespace TF

  }

  auto get_full_op_name = [&](const std::string& op_name) {
    const char* kTfPrefix = "tf.";
    return kTfPrefix + op_name;
  };

  std::string op_name = get_full_op_name(node_type_name);
  if (back_edge_node_output_.contains(&node)) {
    op_name = op_name + ".sink";
  }

  mlir::OperationState result(GetLocation(node), op_name);
  for (int i = 0; i < node.num_outputs(); ++i) {

 * limitations under the License.
 */

package org.gradle.declarative.dsl.schema

import java.io.Serializable


interface FqName : Serializable {
    val packageName: String
    val simpleName: String
    val qualifiedName: String

    companion object Empty : FqName {
        override val packageName: String
            get() = ""
        override val simpleName: String
            get() = ""

						// log.Printf("%s:%d: [%s] cannot check cross-package assembly function: %s is in package %s", fname, lineno, arch, fnName, pkgPath)
						fn = nil
						fnName = ""
						abi = ""
						continue
					}
				}
				// Trim off optional ABI selector.
				fnName, abi = trimABI(fnName)
				flag := m[3]
				fn = knownFunc[fnName][arch]
				if fn != nil {
					size, _ := strconv.Atoi(m[5])