cat << EOF > tensorflow.pc
prefix=${TF_PREFIX}
exec_prefix=\${prefix}
libdir=\${exec_prefix}/${LIBDIR}
includedir=\${prefix}/include/tensorflow

Name: TensorFlow
Version: ${TF_VERSION}
Description: Library for computation using data flow graphs for scalable machine learning
Requires:
Libs: -L\${libdir} -ltensorflow -ltensorflow_framework
Cflags: -I\${includedir}
EOF

cat << EOF > tensorflow_cc.pc
prefix=${TF_PREFIX}

	ActionLabelNone      ActionLabel = "none"

	// ErrorLabelSpec represents an error due to an invalid spec of HPA object.
	ErrorLabelSpec ErrorLabel = "spec"
	// ErrorLabelInternal represents an error from an internal computation or communication with other component.
	ErrorLabelInternal ErrorLabel = "internal"
	ErrorLabelNone     ErrorLabel = "none"
)

// Monitor records some metrics so that people can monitor HPA controller.

}

// Returns a set of ops that are outside compiled and can be extracted to before
// the TPU computation. These ops are either connected to the inputs of the TPU
// computation or other ops that can be extracted, and have no operands from
// other ops in the TPU computation that cannot be extracted.
llvm::SmallVector<Operation*, 4> FindOutsideCompiledOpsAtHead(

       * to a valid final state ({@link #COMPLETED}, {@link #CANCELLED}, or {@link #INTERRUPTED}).
       *
       * @param v the value to set as the result of the computation.
       * @param t the exception to set as the result of the computation.
       * @param finalState the state to transition to.
       */
      private boolean complete(@Nullable V v, @Nullable Throwable t, int finalState) {

// then those passes include all the Legalization to XLA HLO which is returned
// in the compilation_result.
absl::StatusOr<std::string> CompileFromMlirToXlaHlo(
    bool lower_to_xla_hlo, const tpu::MlirToHloArgs& computation,
    const tpu::TPUCompileMetadataProto& metadata, llvm::StringRef device_type,
    const XlaShapeLayoutHelpers::ShapeDeterminationFns& shape_determination_fns,

limitations under the License.
==============================================================================*/

// The XlaCompileOnDemandOp is an OpKernel that, when its Compute method is
// called, will generate an xla::Computation and run it asynchronously.

#ifndef TENSORFLOW_COMPILER_JIT_XLA_COMPILE_ON_DEMAND_OP_H_
#define TENSORFLOW_COMPILER_JIT_XLA_COMPILE_ON_DEMAND_OP_H_

#include <vector>

// Rewrites computations generated by the xla.compile() Python code into
// XlaLaunch nodes.
//
// xla.compile() does two main things:
// a) marks operators that make up an XLA computation with the attribute
//    _xla_compile_id=XYZ, where XYZ is a unique key.
// b) adds XlaClusterOutput nodes to represent outputs of the computation.
//    These nodes are not marked with the _xla_compile_id attribute.

  func.return %0#0 : tensor<*xi32>
}

// RUN: tf-opt %s -split-input-file -tf-tpu-host-computation-expansion | FileCheck %s

// Tests expansion of a outside compiled ops at head/tail of TPU computation.

// CHECK-LABEL: func @identity_at_head_expanded
func.func @identity_at_head_expanded(%arg0: tensor<?xi32>) {
  // CHECK: "tf_device.cluster"
  // CHECK-NEXT: "tf.Identity"
  // CHECK-SAME: _xla_outside_compilation = ""
  "tf_device.cluster"() ({

       * to a valid final state ({@link #COMPLETED}, {@link #CANCELLED}, or {@link #INTERRUPTED}).
       *
       * @param v the value to set as the result of the computation.
       * @param t the exception to set as the result of the computation.
       * @param finalState the state to transition to.
       */
      private boolean complete(@Nullable V v, @Nullable Throwable t, int finalState) {