Created by: DaleAG

I use pip install paddlepaddle-gpu==0.14.0.post85 to install paddlepaddle. When I run train.py

Traceback (most recent call last): File "train.py", line 178, in train(args, config, train_file_list, optimizer_method="momentum") File "train.py", line 52, in train sub_network=use_pyramidbox) File "/home/daguo/code/PaddlePaddle_models/fluid/face_detection/pyramidbox.py", line 76, in init self._pyramidbox() File "/home/daguo/code/PaddlePaddle_models/fluid/face_detection/pyramidbox.py", line 243, in _pyramidbox face_loc = permute_and_reshape(face_loc, 4) File "/home/daguo/code/PaddlePaddle_models/fluid/face_detection/pyramidbox.py", line 227, in permute_and_reshape np.array([0, -1, last_dim]).astype("int32")) TypeError: assign() takes exactly 2 arguments (1 given)

But, I alter run_shape = fluid.layers.assign( np.array([0, -1, last_dim]).astype("int32")) to run_shape = fluid.layers.create_tensor(dtype='int32') fluid.layers.assign( np.array([0, -1, last_dim]).astype("int32"),run_shape)

run error is:

Traceback (most recent call last): File "train.py", line 178, in train(args, config, train_file_list, optimizer_method="momentum") File "train.py", line 81, in train optimizer.minimize(loss) File "/home/daguo/anaconda2/envs/paddle-py27/lib/python2.7/site-packages/paddle/fluid/optimizer.py", line 255, in minimize [error_clip_callback]) File "/home/daguo/anaconda2/envs/paddle-py27/lib/python2.7/site-packages/paddle/fluid/backward.py", line 549, in append_backward grad_to_var, callbacks) File "/home/daguo/anaconda2/envs/paddle-py27/lib/python2.7/site-packages/paddle/fluid/backward.py", line 334, in append_backward_ops op.desc, no_grad_dict[block.idx], grad_sub_block_list) paddle.fluid.core.EnforceNotMet: grad_op_maker_ should not be null Operator GradOpMaker has not been registered. at [/paddle/paddle/fluid/framework/op_info.h:61] PaddlePaddle Call Stacks: 0 0x7fd0da959736p paddle::platform::EnforceNotMet::EnforceNotMet(std::__exception_ptr::exception_ptr, char const*, int) + 486 1 0x7fd0da95bfe9p paddle::framework::OpInfo::GradOpMaker() const + 137 2 0x7fd0da955222p 3 0x7fd0da969604p pybind11::cpp_function::dispatcher(_object*, _object*, _object*) + 2596 4 0x7fd1cf7122a3p PyEval_EvalFrameEx + 23091 5 0x7fd1cf713dbep PyEval_EvalCodeEx + 2190 6 0x7fd1cf7123fap PyEval_EvalFrameEx + 23434 7 0x7fd1cf713dbep PyEval_EvalCodeEx + 2190 8 0x7fd1cf7123fap PyEval_EvalFrameEx + 23434 9 0x7fd1cf713dbep PyEval_EvalCodeEx + 2190 10 0x7fd1cf7123fap PyEval_EvalFrameEx + 23434 11 0x7fd1cf713dbep PyEval_EvalCodeEx + 2190 12 0x7fd1cf7123fap PyEval_EvalFrameEx + 23434 13 0x7fd1cf713dbep PyEval_EvalCodeEx + 2190 14 0x7fd1cf713ed2p PyEval_EvalCode + 50 15 0x7fd1cf733e10p PyRun_FileExFlags + 176 16 0x7fd1cf733fefp PyRun_SimpleFileExFlags + 239 17 0x7fd1cf7498f4p Py_Main + 3236 18 0x7fd1ce947f45p __libc_start_main + 245 19 0x400649p

How to solve this problem?