continue
			}
			kl.podWorkers.UpdatePod(UpdatePodOptions{
				Pod:        pod,
				MirrorPod:  mirrorPod,
				UpdateType: kubetypes.SyncPodUpdate,
				StartTime:  start,
			})
			continue
		}

		// Only go through the admission process if the pod is not requested

        } else {
          result_dim_sizes[axis] += operand_dim_size;
        }
        continue;
      }

      if (ShapedType::isDynamic(operand_dim_size)) continue;

      if (ShapedType::isDynamic(result_dim_size)) {
        result_dim_sizes[dim] = operand_dim_size;
        result_dim_sizes_loc[dim] = operand.index();
        continue;
      }

      if (result_dim_size != operand_dim_size)

    const tensorflow::OpRegistrationData* op_reg_data =
        tensorflow::OpRegistry::Global()->LookUp(node_def.op());
    if (!op_reg_data) {
      // This is likely a function call node, so we should continue.
      continue;
    }
    ::tensorflow::AddDefaultsToNodeDef(op_reg_data->op_def, &node_def);
  }
  return absl::OkStatus();
}

// Mapping from node name to feed (index and ArrayInfo). Node name must outlive

                continue;
            if (name.length() > 0) {
                // if !files we don't need to create SmbFiles here
                SmbFile f = new SmbFile(this, name, e.getType(),
                            ATTR_READONLY | ATTR_DIRECTORY, 0L, 0L, 0L );
                if (ff != null && ff.accept(f) == false)
                    continue;
                if (files) {

	// result: (ADDI [val] x)
	for {
		for _i0 := 0; _i0 <= 1; _i0, v_0, v_1 = _i0+1, v_1, v_0 {
			if v_0.Op != OpRISCV64MOVDconst {
				continue
			}
			t := v_0.Type
			val := auxIntToInt64(v_0.AuxInt)
			x := v_1
			if !(is32Bit(val) && !t.IsPtr()) {
				continue
			}
			v.reset(OpRISCV64ADDI)
			v.AuxInt = int64ToAuxInt(val)
			v.AddArg(x)
			return true
		}
		break
	}

    auto splat_attr = mlir::dyn_cast_or_null<SplatElementsAttr>(operand);
    if (!splat_attr) continue;

    if (splat_attr.getType() != result_type) continue;

    // We can only fold away constant Falses.
    auto splat_value = splat_attr.getSplatValue<BoolAttr>().getValue();
    if (splat_value) continue;

    return operand;
  }

  return {};
}

le host":"authority ignore slashes";break;case"authority first slash":if("/"!=y){c("Expected '/', got: "+y),l="authority ignore slashes";continue}l="authority second slash";break;case"authority second slash":if(l="authority ignore slashes","/"!=y){c("Expected '/', got: "+y);continue}break;case"authority ignore slashes":if("/"!=y&&"\\"!=y){l="authority";continue}c("Expected authority, got: "+y);break;case"authority":if("@"==y){v&&(c("@ already seen."),d+="%40"),v=!0;for(var S=0;S<d.length;S++){var...

  for (const auto& arg_attr : dict_attrs) {
    if (!arg_attr) continue;

    auto attrs = arg_attr.getValue();
    for (const auto attr : attrs) {
      if (attr.getName() == attr_name) {
        auto array_attr =
            mlir::dyn_cast_or_null<mlir::ArrayAttr>(attr.getValue());
        if (!array_attr || array_attr.empty()) continue;
        auto string_attr =

	for {
		for _i0 := 0; _i0 <= 1; _i0, v_0, v_1 = _i0+1, v_1, v_0 {
			x := v_0
			if v_1.Op != OpLOONG64MOVVconst {
				continue
			}
			t := v_1.Type
			c := auxIntToInt64(v_1.AuxInt)
			if !(is32Bit(c) && !t.IsPtr()) {
				continue
			}
			v.reset(OpLOONG64ADDVconst)
			v.AuxInt = int64ToAuxInt(c)
			v.AddArg(x)
			return true
		}
		break
	}

    const Tensor& src = outputs[i];
    if (!src.IsInitialized() || src.NumElements() == 0) {
      c_outputs[i] =
          EmptyTensor(static_cast<TF_DataType>(src.dtype()), src.shape());
      continue;
    }
    c_outputs[i] = TF_TensorFromTensor(src, &status->status);
    if (!status->status.ok()) return;
  }
}

extern "C" {

void TF_Run(TF_DeprecatedSession* s, const TF_Buffer* run_options,