解决EnforceNotMet: grad_op_maker_ should not be null Operator GradOpMaker has not been registered. at

---------------------------------------------------------------------------EnforceNotMetTraceback (mostrecentcalllast)<ipython-input-114-71baa0f01aff>in<module>1# 配置优化器（Optimizer Function）  随机梯度下降SGD   学习率为0.0012sgd_optimezer=fluid.optimizer.SGD(learning_rate=0.1)    # learning_rate为学习率---->3sgd_optimezer.minimize(avg_loss)
</opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/decorator.py:decorator-gen-145>inminimize(self, loss, startup_program, parameter_list, no_grad_set, grad_clip)
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/wrapped_decorator.pyin__impl__(func, *args, **kwargs)
23def__impl__(func, *args, **kwargs):
24wrapped_func=decorator_func(func)
--->25returnwrapped_func(*args, **kwargs)
2627return__impl__/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/base.pyin__impl__(*args, **kwargs)
85def__impl__(*args, **kwargs):
86with_switch_tracer_mode_guard_(is_train=False):
--->87returnfunc(*args, **kwargs)
8889return__impl__/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/optimizer.pyinminimize(self, loss, startup_program, parameter_list, no_grad_set, grad_clip)
592startup_program=startup_program,
593parameter_list=parameter_list,
-->594no_grad_set=no_grad_set)595596ifgrad_clipisnotNoneandframework.in_dygraph_mode():
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/optimizer.pyinbackward(self, loss, startup_program, parameter_list, no_grad_set, callbacks)
491withprogram_guard(program, startup_program):
492params_grads=append_backward(loss, parameter_list,
-->493no_grad_set, callbacks)
494# Note: since we can't use all_reduce_op now,495#  dgc_op should be the last op of one grad./opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/backward.pyinappend_backward(loss, parameter_list, no_grad_set, callbacks)
569grad_to_var,
570callbacks,
-->571input_grad_names_set=input_grad_names_set)572573# Because calc_gradient may be called multiple times,/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/backward.pyin_append_backward_ops_(block, ops, target_block, no_grad_dict, grad_to_var, callbacks, input_grad_names_set)
308# Getting op's corresponding grad_op309grad_op_desc, op_grad_to_var=core.get_grad_op_desc(
-->310op.desc, cpt.to_text(no_grad_dict[block.idx]), grad_sub_block_list)
311312# If input_grad_names_set is not None, extend grad_op_descs only whenEnforceNotMet: grad_op_maker_shouldnotbenullOperatorGradOpMakerhasnotbeenregistered. at [/paddle/paddle/fluid/framework/op_info.h:69]
PaddlePaddleCallStacks: 
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# 配置优化器（Optimizer Function）  随机梯度下降SGD   学习率为0.001# clone操作一定要在定义优化器之前进行！！！   否则也是会报错的。 sgd_optimezer=fluid.optimizer.SGD(learning_rate=0.1)    # learning_rate为学习率sgd_optimezer.minimize(avg_loss)