EnforceNotMetTraceback (most recent call last) in ()
563 save_dirname=save_dirname,
564 model_filename=model_filename,
--> 565 params_filename=params_filename)
566 # batch_infer(save_dirname)
567 # infer(
in train(nn_type, save_dirname, model_filename, params_filename)
222 # optimizer = fluid.optimizer.Adam(learning_rate=fluid.layers.piecewise_decay(boundaries=boundaries, values=values))
223 optimizer = fluid.optimizer.Adam(learning_rate=0.001)
--> 224 optimizer.minimize(avg_loss)
225
226 # place = fluid.CPUPlace()
</opt/conda/envs/python27-paddle120-env/lib/python2.7/site-packages/decorator.pyc:decorator-gen-142> in minimize(self, loss, startup_program, parameter_list, no_grad_set, grad_clip)
/opt/conda/envs/python27-paddle120-env/lib/python2.7/site-packages/paddle/fluid/wrapped_decorator.pyc inimpl(func, args,kwargs)
23 defimpl*(func, *args,**kwargs):
24 wrapped_func = decorator_func(func)
---> 25 return wrapped_func(args,kwargs)
26
27 returnimpl*
/opt/conda/envs/python27-paddle120-env/lib/python2.7/site-packages/paddle/fluid/dygraph/base.pyc inimpl(args,kwargs)
85 defimpl*(args,kwargs):
86 with switch_tracer_mode_guard(is_train=False):
---> 87 return func(args,kwargs)
88
89 returnimpl
/opt/conda/envs/python27-paddle120-env/lib/python2.7/site-packages/paddle/fluid/optimizer.pyc in minimize(self, loss, startup_program, parameter_list, no_grad_set, grad_clip)
592 startup_program=startup_program,
593 parameter_list=parameter_list,
--> 594 no_grad_set=no_grad_set)
595
596 if grad_clip is not None and framework.in_dygraph_mode():
/opt/conda/envs/python27-paddle120-env/lib/python2.7/site-packages/paddle/fluid/optimizer.pyc in backward(self, loss, startup_program, parameter_list, no_grad_set, callbacks)
491 with program_guard(program, startup_program):
492 params_grads = append_backward(loss, parameter_list,
--> 493 no_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/python27-paddle120-env/lib/python2.7/site-packages/paddle/fluid/backward.pyc in append_backward(loss, parameter_list, no_grad_set, callbacks)
569 grad_to_var,
570 callbacks,
--> 571 input_grad_names_set=input_grad_names_set)
572
573 # Because calc_gradient may be called multiple times,
/opt/conda/envs/python27-paddle120-env/lib/python2.7/site-packages/paddle/fluid/backward.pyc in append_backward_ops(block, ops, target_block, no_grad_dict, grad_to_var, callbacks, input_grad_names_set)
308 # Getting op's corresponding grad_op
309 grad_op_desc, op_grad_to_var = core.get_grad_op_desc(
--> 310 op.desc, cpt.to_text(no_grad_dict[block.idx]), grad_sub_block_list)
311
312 # If input_grad_names_set is not None, extend grad_op_descs only when
EnforceNotMet: grad_op_maker_ should not be null
Operator GradOpMaker has not been registered. at [/paddle/paddle/fluid/framework/op_info.h:69]
PaddlePaddle Call Stacks:
0 0x7f47250eeff8p void paddle::platform::EnforceNotMet::Initstd::string(std::string, char const, int) + 360
1 0x7f47250ef347p paddle::platform::EnforceNotMet::EnforceNotMet(std::string const&, char const, int) + 87
2 0x7f47250f030cp paddle::framework::OpInfo::GradOpMaker() const + 108
3 0x7f47250e78eep
4 0x7f4725121936p
5 0x7f47a5da9ea4p PyEval_EvalFrameEx + 32020
6 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
7 0x7f47a5da8b98p PyEval_EvalFrameEx + 27144
8 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
9 0x7f47a5da8b98p PyEval_EvalFrameEx + 27144
10 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
11 0x7f47a5da8b98p PyEval_EvalFrameEx + 27144
12 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
13 0x7f47a5d34567p
14 0x7f47a5d0f973p PyObject_Call + 67
15 0x7f47a5da469ep PyEval_EvalFrameEx + 9486
16 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
17 0x7f47a5d34567p
18 0x7f47a5d0f973p PyObject_Call + 67
19 0x7f47a5da469ep PyEval_EvalFrameEx + 9486
20 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
21 0x7f47a5da8b98p PyEval_EvalFrameEx + 27144
22 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
23 0x7f47a5da8b98p PyEval_EvalFrameEx + 27144
24 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
25 0x7f47a5da8b98p PyEval_EvalFrameEx + 27144
26 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
27 0x7f47a5dab8eap PyEval_EvalCode + 26
28 0x7f47a5da7cc0p PyEval_EvalFrameEx + 23344
29 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
30 0x7f47a5da8b98p PyEval_EvalFrameEx + 27144
31 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
32 0x7f47a5da8b98p PyEval_EvalFrameEx + 27144
33 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
34 0x7f47a5d34567p
35 0x7f47a5d0f973p PyObject_Call + 67
36 0x7f47a5da469ep PyEval_EvalFrameEx + 9486
37 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
38 0x7f47a5da8b98p PyEval_EvalFrameEx + 27144
39 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
40 0x7f47a5da8b98p PyEval_EvalFrameEx + 27144
41 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
42 0x7f47a5da8b98p PyEval_EvalFrameEx + 27144
43 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
44 0x7f47a5da8b98p PyEval_EvalFrameEx + 27144
45 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
46 0x7f47a5d34567p
47 0x7f47a5d0f973p PyObject_Call + 67
48 0x7f47a5da469ep PyEval_EvalFrameEx + 9486
49 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
50 0x7f47a5d34567p
51 0x7f47a5d0f973p PyObject_Call + 67
52 0x7f47a5da469ep PyEval_EvalFrameEx + 9486
53 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
54 0x7f47a5da8b98p PyEval_EvalFrameEx + 27144
55 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
56 0x7f47a5da8b98p PyEval_EvalFrameEx + 27144
57 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
58 0x7f47a5d34567p
59 0x7f47a5d0f973p PyObject_Call + 67
60 0x7f47a5da469ep PyEval_EvalFrameEx + 9486
61 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
62 0x7f47a5da8b98p PyEval_EvalFrameEx + 27144
63 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
64 0x7f47a5da8b98p PyEval_EvalFrameEx + 27144
65 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
66 0x7f47a5da8b98p PyEval_EvalFrameEx + 27144
67 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
68 0x7f47a5da8b98p PyEval_EvalFrameEx + 27144
69 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
70 0x7f47a5dab8eap PyEval_EvalCode + 26
71 0x7f47a5da7cc0p PyEval_EvalFrameEx + 23344
72 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
73 0x7f47a5da8b98p PyEval_EvalFrameEx + 27144
74 0x7f47a5dab6c9p PyEval_EvalCodeEx + 2025
75 0x7f47a5d3447ap
76 0x7f47a5d0f973p PyObject_Call + 67
77 0x7f47a5dd8320p
78 0x7f47a5dd89dep Py_Main + 1374
79 0x7f47a4fa9830p __libc_start_main + 240
80 0x562b7899707fp