//
// Input: TF Saved Model or TF MLIR files.
// Output: StableHLO MLIR or TFLite Flatbuffer.
//
// Usage:
// 1) convert the input model to StableHLO MLIR
// odml_to_stablehlo /path/to/model -o=model.mlir
// 2) convert the input model to TFLite Flatbuffer
// odml_to_stablehlo /path/to/model -o=model.tflite --export-type=tflite
//
// TODO(pulkitb): Add more options.

					verifiedCertificateReferences.Insert(rn)
					if s.GetTls().GetMode() == networking.ServerTLSSettings_MUTUAL {
						verifiedCertificateReferences.Insert(rn + credentials.SdsCaSuffix)
					}
				} else if ps.ReferenceAllowed(gvk.Secret, rn, proxy.VerifiedIdentity.Namespace) {
					// Explicitly allowed by some policy
					verifiedCertificateReferences.Insert(rn)
				}
			}

  for (auto v : ddn.lhs_batch_dimensions()) {
    lhs_remove_idx.insert(v);
  }
  for (auto v : ddn.lhs_contracting_dimensions()) {
    lhs_remove_idx.insert(v);
  }
  for (auto v : ddn.rhs_batch_dimensions()) {
    rhs_remove_idx.insert(v);
  }
  for (auto v : ddn.rhs_contracting_dimensions()) {
    rhs_remove_idx.insert(v);
  }

  // Gather shapes for output.

		// We only want to record exported variables.
		return nil
	}
	return v
}

// Conversion = "convert" "(" Type "," ConstValue ")" .
func (p *parser) parseConversion(pkg *types.Package) (val constant.Value, typ types.Type) {
	p.expectKeyword("convert")
	p.expect('(')
	typ = p.parseType(pkg)
	p.expect(',')
	val, _ = p.parseConstValue(pkg)
	p.expect(')')
	return
}

  supported_ops->insert(
      OperationName(mlir::TF::IfRegionOp::getOperationName(), context));
  supported_ops->insert(
      OperationName(mlir::TF::InplaceAddOp::getOperationName(), context));
  supported_ops->insert(
      OperationName(mlir::TF::WhileRegionOp::getOperationName(), context));
  supported_ops->insert(
      OperationName(mlir::TF::XlaCallModuleOp::getOperationName(), context));
  supported_ops->insert(

    %8 = stablehlo.convert %7 : (tensor<1x4x2xi8>) -> tensor<1x4x2xf32>
    %9 = stablehlo.convert %2 : (tensor<2x3xi8>) -> tensor<2x3xf32>
    %10 = stablehlo.dot_general %8, %9, contracting_dims = [2] x [0] : (tensor<1x4x2xf32>, tensor<2x3xf32>) -> tensor<1x4x3xf32>
    %11 = stablehlo.convert %3 : (tensor<1x1x3xi32>) -> tensor<1x1x3xf32>

                throw new CrawlingAccessException("[" + e.status() + "] Failed to insert " + id, e);
            }
            throw new EsAccessException("[" + e.status() + "] Failed to insert " + id, e);
        } catch (final Exception e) {
            throw new EsAccessException("Failed to insert " + id, e);
        }
    }

    protected <T> void insertAll(final List<T> list, final OpType opType) {

				PodManagementPolicy: v1beta2.PodManagementPolicyType("bar"),
			},
		},
	}

	for k, tc := range testcases {
		// apps -> v1beta2
		internal1 := &v1beta2.StatefulSetSpec{}
		if err := legacyscheme.Scheme.Convert(tc.stsSpec1, internal1, nil); err != nil {
			t.Errorf("%q - %q: unexpected error: %v", k, "from extensions to v1beta2", err)
		}

		if !apiequality.Semantic.DeepEqual(internal1, tc.stsSepc2) {

    def "delegates to each action factory to configure the command-line parser and create the action"() {
        def rawAction = Mock(Action<? super ExecutionListener>)

        when:
        def commandLineExecution = factory.convert(["--some-option"])
        commandLineExecution.execute(executionListener)

        then:
        1 * actionFactory1.configureCommandLineParser(!null) >> {
            CommandLineParser parser -> parser.option("some-option")

    std::for_each(std::lower_bound(tensor.operations.begin(),
                                   tensor.operations.end(), remat.insert),
                  tensor.operations.end(),
                  [&](int& iop) { iop += num_inserted; });
  }
  operations_.insert(operations_.begin() + remat.insert, num_inserted, {});

  // Copy all tensors dependencies of the old region to the new region.