*/
    EXPRESSIONS,
    /**
     * A token concatenation expression whose value should not be macro expanded. These appear in the body of macro directives or as the arguments to a {@link #MACRO_FUNCTION} eg {@code #define ABC(X, Y) X ## Y}.
     */
    TOKEN_CONCATENATION,
    /**
     * A token concatenation expression whose value should be macro expanded.
     */
    EXPAND_TOKEN_CONCATENATION,

	// to pass a dst bigger than src, and in that case, XORKeyStream will
	// only update dst[:len(src)] and will not touch the rest of dst.
	//
	// Multiple calls to XORKeyStream behave as if the concatenation of
	// the src buffers was passed in a single run. That is, Stream
	// maintains state and does not reset at each XORKeyStream call.
	XORKeyStream(dst, src []byte)
}

monitoring::GaugeCell<std::string>& SavedModelWritePath();

// Returns "/tensorflow/core/saved_model/write/path_and_fingerprint" cell, which
// contains the path (saved_model_path) and fingerprint (concatenation of
// graph_def_program_hash, signature_def_hash, saved_object_graph_hash,
// and checkpoint_hash) of the SavedModel when it is exported.
monitoring::GaugeCell<std::string>& SavedModelWritePathAndSingleprint();

  %1 = "tfl.concatenation"(%0, %arg1) {axis = 0 : i32, fused_activation_function = "NONE"} : (tensor<1000x1000xf32>, tensor<1000x1000xf32>) -> tensor<2000x1000xf32>
  func.return %1 : tensor<2000x1000xf32>

// CHECK-NEXT: tfl.dequantize
// CHECK-NEXT: tfl.concatenation
}

// CHECK-LABEL: no_pushdown_multiple_outputs

// CHECK:  [[VAL_1:%.*]] = "tfl.reshape"(%2, %[[CST]]) {tac.device = "GPU",  tac.inference_type = "FLOAT"} : (tensor<1xf32>, tensor<4xi32>) -> tensor<1x1x1x1xf32>
// CHECK:  [[VAL_2:%.*]] = "tfl.concatenation"([[VAL_0]], [[VAL_1]]) <{axis = 3 : i32, fused_activation_function = "NONE"}> {tac.device = "GPU", tac.inference_type = "FLOAT"} : (tensor<1x1x1x1xf32>, tensor<1x1x1x1xf32>) -> tensor<1x1x1x2xf32>

  - https://github.com/istio/istio/pull/43103

# releaseNotes is a markdown listing of any user facing changes. This will appear in the
# release notes.
releaseNotes:
- |
  **Improved** Gateway naming conventions to be concatenation of `Name` and `GatewayClassName`. 
  Deployment also now deploys with its own Service Account, rather than using the `default` token. 
  Naming convention affects name of Deployment, Service and Service Account.

}

// A Reader is an [io.Reader] that can be read to retrieve
// uncompressed data from a gzip-format compressed file.
//
// In general, a gzip file can be a concatenation of gzip files,
// each with its own header. Reads from the Reader
// return the concatenation of the uncompressed data of each.
// Only the first header is recorded in the Reader fields.
//
// Gzip files store a length and checksum of the uncompressed data.

    func.return %0 : tensor<2x1xf32>
    // CHECK: %[[VAL_0:.*]] = arith.constant dense<[2, 1]> : tensor<2xi32>
    // CHECK: %[[CONCAT:.*]] = "tfl.concatenation"(%arg0, %arg1) <{axis = 0 : i32, fused_activation_function = "NONE"}> : (tensor<1xf32>, tensor<1xf32>) -> tensor<2xf32>

// and increments the counter. The name of the counter is
// the concatenation of prefix and the flag name.
func CountFlags(prefix string, flagSet flag.FlagSet) {
	counter.CountFlags(prefix, flagSet)
}

// CountFlagValue creates a counter for the flag value
// if it is set and increments the counter. The name of the
// counter is the concatenation of prefix, the flagName, ":",
// and value.String() for the flag's value.

  %cst = "tfl.pseudo_qconst"() {qtype = tensor<1x2x!quant.uniform<u8:f32, 1.0>>, value = dense<-76> : tensor<1x2xi8>} : () -> tensor<1x2x!quant.uniform<u8:f32, 1.0>>
  %2 = "tfl.concatenation"(%1, %cst) {axis = 0 : i32, fused_activation_function = "NONE"} : (tensor<1x2x!quant.uniform<u8:f32, 1.0>>, tensor<1x2x!quant.uniform<u8:f32, 1.0>>) -> tensor<2x2x!quant.uniform<u8:f32, 1.0>>