func.func @fuseUnpackAndConcatToReshape(%arg0: tensor<1x3x2xf32>) -> tensor<1x6xf32> {
  %0:3 = "tfl.unpack"(%arg0) {axis = 1 : i32, num = 3 : i32} : (tensor<1x3x2xf32>) -> (tensor<1x2xf32>, tensor<1x2xf32>, tensor<1x2xf32>)
  %1 = "tfl.concatenation"(%0#0, %0#1, %0#2) {axis = -1 : i32, fused_activation_function = "NONE"} : (tensor<1x2xf32>, tensor<1x2xf32>, tensor<1x2xf32>) -> tensor<1x6xf32>
  func.return %1 : tensor<1x6xf32>

Assumes that all arguments of the function are Tensors which will be batched
along their first dimension.

Arguments that are captured, are not batched. The session.run call which does
the concatenation, will use the values of the captured tensors available to it.
Therefore, typical uses of captured tensors should involve values which remain
unchanged across session.run calls. Inference is a good example of this.

     * is the only one in use, but if we encounter nested concatenations, we start a deque of
     * meta-iterators rather than letting the nesting get arbitrarily deep.  This keeps each
     * operation O(1).
     */

    @CheckForNull private Iterator<? extends Iterator<? extends T>> topMetaIterator;

    // Only becomes nonnull if we encounter nested concatenations.

     * is the only one in use, but if we encounter nested concatenations, we start a deque of
     * meta-iterators rather than letting the nesting get arbitrarily deep.  This keeps each
     * operation O(1).
     */

    @CheckForNull private Iterator<? extends Iterator<? extends T>> topMetaIterator;

    // Only becomes nonnull if we encounter nested concatenations.

namespace mlir::quant::stablehlo {

namespace {

using ::mlir::quant::FindUserOfType;
using ::mlir::quant::TryCast;
using ::mlir::stablehlo::AddOp;
using ::mlir::stablehlo::BroadcastInDimOp;
using ::mlir::stablehlo::ConcatenateOp;
using ::mlir::stablehlo::ConvolutionOp;
using ::mlir::stablehlo::DotGeneralOp;
using ::mlir::stablehlo::DynamicBroadcastInDimOp;
using ::mlir::stablehlo::GatherOp;
using ::mlir::stablehlo::GetDimensionSizeOp;

        ret.setOperand(i, quantized.front());
      }
      i++;
    }
  });

  // We prefer to placing quantization emulation ops on the results of the
  // concat ops.
  func.walk([&](ConcatenationOp concat) {
    if (concat.getOutput().hasOneUse() &&
        Quantized(*concat.getOutput().user_begin())) {
      return;
    }
    concat.emitWarning(

                                       Value item_rank, Type result_type,
                                       PatternRewriter *rewriter) {
  // Create the start position of slice. This is done by concatenating
  // `start_index` and `partial_start_position` together.
  IntegerType shape_dtype = rewriter->getIntegerType(32);
  RankedTensorType position_type =
      tensorflow::GetTypeFromTFTensorShape({-1}, shape_dtype);

     * format. It should not contain any other PEM-encoded blocks, but it may contain other text
     * which will be ignored.
     *
     * Encode a held certificate into this format by concatenating the results of
     * [certificatePem()][certificatePem] and [privateKeyPkcs8Pem()][privateKeyPkcs8Pem].
     *
     * [rfc_7468]: https://tools.ietf.org/html/rfc7468
     * [rfc_5208]: https://tools.ietf.org/html/rfc5208

\"object.x__dash__prop > 0\"}\n  - Expression accessing a property named \"redact__d\": {\"Expression\": \"object.redact__underscores__d > 0\"}\n\nEquality on arrays with list type of 'set' or 'map' ignores element order, i.e. [1, 2] == [2, 1]. Concatenation on arrays with x-kubernetes-list-type use the semantics of the list type:\n  - 'set': `X + Y` performs a union where the array positions of all elements in `X` are preserved and\n    non-intersecting elements in `Y` are appended, retaining their...

	"istio.io/istio/pkg/monitoring"
)

const (
	// https://openid.net/specs/openid-connect-discovery-1_0.html
	// OpenID Providers supporting Discovery MUST make a JSON document available at the path
	// formed by concatenating the string /.well-known/openid-configuration to the Issuer.
	openIDDiscoveryCfgURLSuffix = "/.well-known/openid-configuration"

	// JwtPubKeyEvictionDuration is the life duration for cached item.