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Published 20 hours ago • verified publisher icon benmoseley

running error

Open 135355 opened this issue 2 years ago • 1 comments

Hello，I am trying to use your program to write a FBPINN that solves a 3D temperature field, because the problem is more complex, I use the soft-constrained loss function form in the problem class.Because used a soft constrained loss function, so def boundary_condition() is not used in the problem class.However, when commenting out FBPINN and just running PINN, the error still occurs. I am getting an error while running the file paper_main_3D.py., The screenlog: RUN: final_FBPINN_TemperatureField3D_16h_2l_30b_r_0.1w_All P: <problems.TemperatureField3D object at 0x0000020521F32808> SUBDOMAIN_XS: [array([0. , 0.25, 0.5 , 0.75, 1. ]), array([0. , 0.25, 0.5 , 0.75, 1. ]), array([0. , 0.25, 0.5 , 0.75, 1. ])] SUBDOMAIN_WS: [array([0.025, 0.025, 0.025, 0.025, 0.025]), array([0.025, 0.025, 0.025, 0.025, 0.025]), array([0.025, 0.025, 0.025, 0.025, 0.025])] BOUNDARY_N: (0.1,) Y_N: (0, 1) ACTIVE_SCHEDULER: <class 'active_schedulers.AllActiveSchedulerND'> ACTIVE_SCHEDULER_ARGS: () DEVICE: 0 MODEL: <class 'models.FCN'> N_HIDDEN: 16 N_LAYERS: 2 BATCH_SIZE: (30, 30, 30) RANDOM: True LRATE: 0.001 N_STEPS: 150000 SEED: 123 BATCH_SIZE_TEST: (100, 100, 10) PLOT_LIMS: (0.4, True) SUMMARY_FREQ: 250 TEST_FREQ: 5000 MODEL_SAVE_FREQ: 10000 SHOW_FIGURES: False SAVE_FIGURES: False CLEAR_OUTPUT: False SUMMARY_OUT_DIR: results/summaries/final_FBPINN_TemperatureField3D_16h_2l_30b_r_0.1w_All/ MODEL_OUT_DIR: results/models/final_FBPINN_TemperatureField3D_16h_2l_30b_r_0.1w_All/ HOSTNAME: laptop-8t1qinad

Device: cuda:0 Main thread ID: 7240 Torch seed: 123 0 Active updated: [[[1 1 1 1] [1 1 1 1] [1 1 1 1] [1 1 1 1]]

[[1 1 1 1] [1 1 1 1] [1 1 1 1] [1 1 1 1]]

[[1 1 1 1] [1 1 1 1] [1 1 1 1] [1 1 1 1]]

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1]) torch.Size([0, 1]) torch.Size([576, 3]) torch.Size([576, 1]) torch.Size([576, 1]) torch.Size([576, 1]) torch.Size([0, 1]) torch.Size([0, 1]) torch.Size([0, 1]) torch.Size([0, 1]) torch.Size([576, 3]) torch.Size([648, 1]) torch.Size([648, 1]) torch.Size([648, 1]) torch.Size([0, 1]) torch.Size([0, 1]) torch.Size([0, 1]) torch.Size([0, 1]) torch.Size([648, 3]) torch.Size([648, 1]) torch.Size([648, 1]) torch.Size([648, 1]) torch.Size([0, 1]) torch.Size([0, 1]) torch.Size([0, 1]) torch.Size([0, 1]) torch.Size([648, 3]) torch.Size([576, 1]) torch.Size([576, 1]) torch.Size([576, 1]) torch.Size([0, 1]) torch.Size([0, 1]) torch.Size([0, 1]) torch.Size([0, 1]) torch.Size([576, 3]) torch.Size([512, 1]) torch.Size([512, 1]) torch.Size([512, 1]) torch.Size([0, 1]) torch.Size([0, 1]) torch.Size([0, 1]) torch.Size([0, 1]) torch.Size([512, 3]) torch.Size([576, 1]) torch.Size([576, 1]) torch.Size([576, 1]) torch.Size([0, 1]) torch.Size([0, 1]) torch.Size([0, 1]) torch.Size([0, 1]) torch.Size([576, 3]) torch.Size([576, 1]) torch.Size([576, 1]) torch.Size([576, 1]) torch.Size([0, 1]) torch.Size([0, 1]) torch.Size([0, 1]) torch.Size([0, 1]) torch.Size([576, 3]) torch.Size([512, 1]) torch.Size([512, 1]) torch.Size([512, 1]) torch.Size([0, 1]) torch.Size([0, 1]) torch.Size([0, 1]) torch.Size([0, 1]) torch.Size([512, 3]) Process Process-1:1: Traceback (most recent call last): File "C:\Users\10614\Anaconda3\envs\TF2.1\lib\multiprocessing\process.py", line 297, in _bootstrap self.run() File "C:\Users\10614\Anaconda3\envs\TF2.1\lib\multiprocessing\process.py", line 99, in run self._target(*self._args, **self._kwargs) File "C:\Users\10614\Desktop\FBPINNs-main\fbpinns\trainersBase.py", line 111, in train_models_multiprocess run.train() File "C:\Users\10614\Desktop\FBPINNs-main\fbpinns\main.py", line 267, in train xs, yjs, yjs_sum, loss = self._train_step(models, optimizers, c, D, i) File "C:\Users\10614\Desktop\FBPINNs-main\fbpinns\main.py", line 185, in _train_step yj = c.P.boundary_condition(x, *yj, *c.BOUNDARY_N)# problem-specific TypeError: boundary_condition() missing 1 required keyword-only argument: 'args' Exception in thread Thread-1: Traceback (most recent call last): File "C:\Users\10614\Anaconda3\envs\TF2.1\lib\multiprocessing\connection.py", line 302, in _recv_bytes overlapped=True) BrokenPipeError: [WinError 109] 管道已结束。

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "C:\Users\10614\Anaconda3\envs\TF2.1\lib\threading.py", line 926, in _bootstrap_inner self.run() File "C:\Users\10614\Anaconda3\envs\TF2.1\lib\site-packages\tensorboardX\event_file_writer.py", line 202, in run data = self._queue.get(True, queue_wait_duration) File "C:\Users\10614\Anaconda3\envs\TF2.1\lib\multiprocessing\queues.py", line 108, in get res = self._recv_bytes() File "C:\Users\10614\Anaconda3\envs\TF2.1\lib\multiprocessing\connection.py", line 216, in recv_bytes buf = self._recv_bytes(maxlength) File "C:\Users\10614\Anaconda3\envs\TF2.1\lib\multiprocessing\connection.py", line 321, in _recv_bytes raise EOFError EOFError

135355 avatar Aug 09 '22 02:08 135355

Hi @135355, please check out the latest FBPINN release - it is a major update and adding soft losses is easy to do now (https://github.com/benmoseley/FBPINNs/blob/main/examples/1.%20Defining%20your%20own%20problem%20-%201D%20harmonic%20oscillator.ipynb)

benmoseley avatar Jul 31 '23 16:07 benmoseley