op.getLoc(), &rewriter);
  } else if (out_reshape_need) {
    out = createOutputReshapeOpForDynamic(out, reshape_shape, original_lhs,
                                          original_rhs, original_dnums,
                                          op.getLoc(), &rewriter);
  }
  out = createTransposeOp(out, op.getLoc(), out_transpose, &rewriter);

  rewriter.replaceOp(op, out);

    // and its users.
    auto quantize = rewriter.create<quantfork::QuantizeCastOp>(
        tf_op.getLoc(), qtype.getValue(), input);
    auto dequantize = rewriter.create<quantfork::DequantizeCastOp>(
        tf_op.getLoc(), res_type, quantize.getResult());
    tf_op.getOutputs().replaceAllUsesWith(dequantize);

    return success();
  }

  bool use_fake_quant_num_bits_;

    for (const auto& arg : func_op.getArguments()) {
      arg_locs.push_back(arg.getLoc());
    }
  }

  // Creates a new main function.
  auto func_type = FunctionType::get(context, arg_types, result_types);
  auto main_func = builder.create<func::FuncOp>(
      module_op.getLoc(), kImportModelDefaultGraphFuncName, func_type);
  builder.createBlock(&main_func.getBody(), main_func.begin(), arg_types,

      ++num_unscheduled_ops;
    }
  }
  emitRemark(func.getLoc(), func.getName())
      << ": " << num_part_ops << " ops delegated out of " << num_all_ops
      << " ops with " << num_partitions_after
      << " partitions (originally: " << num_partitions_before << ")";
  if (!scheduled_everything) {
    emitError(func.getLoc(), func.getName())

    if (variable_name.empty()) {
      return signalPassFailure();
    }
    VarHandleOp var_handle_op = builder.create<VarHandleOp>(
        variable_v2_op.getLoc(),
        ArrayRef<Type>{RankedTensorType::get(
            {}, TF::ResourceType::get(ArrayRef<TensorType>{tensor_type},
                                      builder.getContext()))},
        ArrayRef<Value>{},

func (c *sigctxt) sigcode() uint32 { return uint32(c.info.si_code) }
func (c *sigctxt) sigaddr() uint32 {
	return *(*uint32)(add(unsafe.Pointer(c.info), 16))
}

func (c *sigctxt) set_pc(x uint32)  { c.regs().sc_pc = x }
func (c *sigctxt) set_sp(x uint32)  { c.regs().sc_usr_sp = x }
func (c *sigctxt) set_lr(x uint32)  { c.regs().sc_usr_lr = x }
func (c *sigctxt) set_r10(x uint32) { c.regs().sc_r10 = x }

    // and its users.
    Value value = tf_op.getOutputs();
    auto quantize = rewriter.create<TFL::QuantizeOp>(
        tf_op.getLoc(), qtype.getValue(), value, qtype);
    auto dequantize = rewriter.create<TFL::DequantizeOp>(
        tf_op.getLoc(), res_type, quantize.getOutput());
    value.replaceAllUsesWith(dequantize);
    quantize.getOperation()->replaceUsesOfWith(dequantize, value);

  if (IsKVCacheCompositeOp(composite)) {
    return builder.create<TFL::CustomOp>(
        composite->getLoc(), composite->getResultTypes(),
        composite->getOperands().slice(2, 3), composite.getName(),
        CustomOption(&builder, custom_option_buffer));
  }
  return builder.create<TFL::CustomOp>(
      composite->getLoc(), composite->getResultTypes(),
      composite->getOperands(), composite.getName(),

    }
  }
  auto island = OpBuilder(fetch).create<IslandOp>(
      fetch.getLoc(), data_types,
      /*control=*/ControlType::get(fetch.getContext()),
      /*controlInputs=*/control_fetches);
  island.getBody().push_back(new Block);
  OpBuilder::atBlockEnd(&island.GetBody())
      .create<YieldOp>(fetch.getLoc(), data_fetches);
  const int fetch_control_idx = data_fetches.size();

    return failure();
  }

  auto tfl_fusable_op = builder.create<TFL::CustomOp>(
      func->getLoc(), func.getFunctionType().getResults(), func.getArguments(),
      custom_op_name, CustomOption(&builder, custom_option_buffer));
  builder.create<func::ReturnOp>(func->getLoc(), tfl_fusable_op.getResults());
  return success();
}

// Abstracts the conversion of the embedded lookup composite function.