func.func @quant_act_range(%arg0: !tfr.attr, %arg1: f32, %arg2: i64) -> !tfr.tensor {
  %0:2 = "tfr.quant_act_range"(%arg0, %arg1, %arg2) : (!tfr.attr,f32,i64) -> (!tfr.tensor,!tfr.tensor)
  func.return %0#0 : !tfr.tensor
}

// -----

// CHECK-LABEL: quant_rescale
func.func @quant_rescale(%arg0: !tfr.tensor, %arg1: !tfr.tensor, %arg2: i64) -> !tfr.tensor {
  %0 = "tfr.quant_rescale"(%arg0, %arg1, %arg2) : (!tfr.tensor, !tfr.tensor, i64) -> (!tfr.tensor)

  %0:2 = "tf.WhileRegion"(%arg0, %arg1) ({
  ^bb0(%arg2: tensor<i32>, %arg3: tensor<i32>):
    %1 = "tf.OpA"() {is_stateless = true} : () -> tensor<i1>
    "tf.Yield"(%1) : (tensor<i1>) -> ()
  }, {
  ^bb0(%arg2: tensor<i32>, %arg3: tensor<i32>):
    %1 = "tf.GlobalIterId"() : () -> tensor<i64>
    "tf.Yield"(%arg2, %arg3) : (tensor<i32>, tensor<i32>) -> ()

		{name: "SUBSDload", argLength: 3, reg: fp21load, asm: "SUBSD", aux: "SymOff", resultInArg0: true, faultOnNilArg1: true, symEffect: "Read"}, // fp64 arg0 - tmp, tmp loaded from arg1+auxint+aux, arg2 = mem
		{name: "MULSSload", argLength: 3, reg: fp21load, asm: "MULSS", aux: "SymOff", resultInArg0: true, faultOnNilArg1: true, symEffect: "Read"}, // fp32 arg0 * tmp, tmp loaded from arg1+auxint+aux, arg2 = mem

    func.return %0: tensor<4x4x4xf32>
  }

  // CHECK-LABEL: func @ternary_op
  func.func @ternary_op(%arg0: tensor<2xi1>, %arg1: tensor<2xi32>, %arg2: tensor<2xi32>) -> tensor<2xi32> {
    // CHECK: mhlo.select %arg0, %arg1, %arg2
    %0 = "tf.SelectV2"(%arg0, %arg1, %arg2) : (tensor<2xi1>, tensor<2xi32>, tensor<2xi32>) -> tensor<2xi32>
    func.return %0: tensor<2xi32>
  }

  // CHECK-LABEL: func @convert

func.func @fakeQuantPerChannelForActivation(%arg0: tensor<8x4xf32>) -> (tensor<8x4xf32>) {
  %arg1 = arith.constant dense<[0.0, -1.0, 1.0, 0.0]> : tensor<4xf32>
  %arg2 = arith.constant dense<[255.0, 254.0, 256.0, 1.0e-9]> : tensor<4xf32>
  %0 = "tf.FakeQuantWithMinMaxVarsPerChannel"(%arg0, %arg1, %arg2) {num_bits = 5, narrow_range = false} : (tensor<8x4xf32>, tensor<4xf32>, tensor<4xf32>) -> tensor<8x4xf32>
  func.return %0 : tensor<8x4xf32>

  %0 = "tfl.slice"(%arg0, %arg1, %arg2) : (tensor<4x384x32xf32>, tensor<3xi32>, tensor<3xi32>) -> tensor<1x384x32xf32>
  func.return %0 : tensor<1x384x32xf32>
}

// PARTIAL-LABEL: @arg_reuse_test_2

        mavenRepo.module("org.utils", "api", '1.5').publish()

        mavenRepo.module("org.stuff", "foo", '2.0').dependsOn('org.utils', 'api', '1.5') publish()
        mavenRepo.module("org.utils", "optional-lib", '5.0').publish()

        //above models the scenario where org.utils:api and org.utils:impl are libraries that must be resolved with the same version

import org.gradle.api.internal.cache.StringInterner;
import org.gradle.api.internal.changedetection.state.DefaultExecutionHistoryCacheAccess;
import org.gradle.cache.FileLockManager;
import org.gradle.cache.PersistentCache;
import org.gradle.cache.internal.InMemoryCacheDecoratorFactory;
import org.gradle.cache.scopes.BuildScopedCacheBuilderFactory;
import org.gradle.caching.internal.controller.BuildCacheController;

org.codehaus.plexus.logging.Logger getLogger(); protected final java.util.Set getSet(); protected final java.util.Set checkedGetSet() throws org.codehaus.plexus.component.repository.exception.ComponentLookupExcep; public final String getRole(); protected final void setRole(String); public final void contextualize(org.codehaus.plexus.context.Context) throws org.codehaus.plexus.context.ContextException; public final void enableLogging(org.codehaus.plexus.logging.Logger); } org/codehaus/plexus/coll...

        given:
        repository {
            'org.test:moduleA:1.0' {
                dependsOn 'org.test:moduleB:1.0'
                excludeFromConfig 'org.test:moduleD', 'compile'
            }
            'org.test:moduleB:1.0' {
                dependsOn 'org.test:moduleD:1.0'
            }
            'org.test:moduleC:1.0' {
                dependsOn 'org.test:moduleD:1.0'
            }