func.func @prune_unused_restore() {
  %cst = "tf.Const"() <{value = dense<"restore_ariables"> : tensor<!tf_type.string>}> : () -> tensor<!tf_type.string>
  %cst_0 = "tf.Const"() <{value = dense<""> : tensor<1x!tf_type.string>}> : () -> tensor<1x!tf_type.string>
  %cst_1 = "tf.Const"() <{value = dense<"y"> : tensor<1x!tf_type.string>}> : () -> tensor<1x!tf_type.string>
  // CHECK-NOT: tf.RestoreV2

  %cst_0 = "tf.Const"() {value = dense<[0.1, 0.2, 0.1, 0.2, 0.1, 0.2, 0.1, 0.2]> : tensor<8xf32>} : () -> tensor<8xf32>
  %cst_1 = "tf.Const"() {value = dense<[0.3, 0.4, 0.3, 0.4, 0.3, 0.4, 0.3, 0.4]> : tensor<8xf32>} : () -> tensor<8xf32>

  "tf.LookupTableImportV2"(%0, %cst, %cst_0) {device = ""} : (tensor<!tf_type.resource>, tensor<3x!tf_type.string>, tensor<3xi64>) -> ()
  func.return
  // CHECK-LABEL: hashtable_import
  // CHECK:       [[CST:%.*]] = arith.constant dense<["emerson", "lake", "palmer"]> : tensor<3x!tf_type.string>
  // CHECK-NEXT:  [[CST_0:%.*]] = arith.constant dense<[0, 1, 2]> : tensor<3xi64>

// license that can be found in the LICENSE file.

//go:build dragonfly

package cgo

import _ "unsafe" // for go:linkname

// Supply environ and __progname, because we don't
// link against the standard DragonFly crt0.o and the
// libc dynamic library needs them.

//go:linkname _environ environ
//go:linkname _progname __progname

var _environ uintptr

  func.return
  // CHECK-LABEL: func @init_all_tables
  // CHECK-DAG: [[CST:%.*]]  = arith.constant dense<["apple", "banana", "grape"]> : tensor<3x!tf_type.string>
  // CHECK-DAG: [[CST_0:%.*]]  = arith.constant dense<[0, 1, 2]> : tensor<3xi64>
  // CHECK: [[VAL:%.*]] = "tf.HashTableV2"()
  // CHECK: "tf.LookupTableImportV2"([[VAL]], [[CST]], [[CST_0]])
}

// Tests that the tf.InitializeTableFromTextFileV2 op with explicit vocab size.

      (NamedAttr<"precision_config"> (DefaultOrNullAttr $precision_config)))),
  [(IsNotInLiftedFunc $res), (FloatValueEquals<"0"> $cst_0), (FloatValueEquals<"6"> $cst_1)], [], (addBenefit 10)>;

def LiftDotGeneralWithRelu6 : Pat<
  (StableHLO_ClampOp:$res
    (StableHLO_ConstantOp $cst_0),
    (StableHLO_DotGeneralOp
        $lhs, $rhs, $dot_dimension_numbers, $precision_config),
    (StableHLO_ConstantOp $cst_1)),

						dst0.Pix[d0:], dst0.Stride, r, src0.Pix[s0:], src0.Stride, sp, 4*r.Dx())
					return
				case *image.NRGBA:
					drawNRGBASrc(dst0, r, src0, sp)
					return
				case *image.YCbCr:
					if imageutil.DrawYCbCr(dst0, r, src0, sp) {
						return
					}
				case *image.Gray:
					drawGray(dst0, r, src0, sp)
					return
				case *image.CMYK:
					drawCMYK(dst0, r, src0, sp)
					return
				}
			}

    %cst_5 = "tf.Const"() {value = dense<0> : tensor<512xi32>} : () -> tensor<512xi32>
    %0 = "tf.PartitionedCall"(%arg0, %cst_0, %cst_1) {config = "", config_proto = "", executor_type = "", f = @quantize_i8} : (tensor<1x224x224x3xf32>, tensor<f32>, tensor<i32>) -> tensor<1x224x224x3xi8>

    "tf.LookupTableImportV2"(%0, %cst, %cst_0) {_has_manual_control_dependencies = true, device = ""} : (tensor<!tf_type.resource>, tensor<3x!tf_type.string>, tensor<3xi64>) -> ()
    %1 = "tf.HashTableV2"() {container = "", device = "", key_dtype = !tf_type.string, shared_name = "hash_table_1", use_node_name_sharing = false, value_dtype = i64} : () -> tensor<!tf_type.resource>

    // CHECK-LABEL: func.func @main
    // CHECK-DAG: %[[CST_0:.*]] = "tf.Const"() <{value = dense<1.000000e+00> : tensor<f32>}> : () -> tensor<f32>
    // CHECK-DAG: %[[CST_1:.*]] = "tf.Const"() <{value = dense<3> : tensor<i32>}> : () -> tensor<i32>