PyTorch tutorial #417
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PyTorch tutorial #417
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LGTM, thanks! |
brownbaerchen
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#!!!!!!!!!! WARNING: RUFF FAILED !!!!!!!!!!: #pySDC/projects/GPU/analysis_scripts/compare_RBC3D.py:418:9: E722 Do not use bare `except` # | Parallel-in-Time#416 | k[_s > 1e-16], _s[_s > 1e-16], color=last_line.get_color(), ls=last_line.get_linestyle(), label=label Parallel-in-Time#417 | ) Parallel-in-Time#418 | except: # | ^^^^^^ E722 Parallel-in-Time#419 | pass # | # #pySDC/projects/GPU/analysis_scripts/compare_RBC3D.py:517:5: F841 Local variable `Delta_Nu` is assigned to but never used # | Parallel-in-Time#515 | t = data['t'] Parallel-in-Time#516 | avg_Nu = np.array([np.mean(Nu[40 : 40 + i + 1]) for i in range(len(Nu[40:]))]) Parallel-in-Time#517 | Delta_Nu = np.array([abs(avg_Nu[i + 1] - avg_Nu[i]) for i in range(len(avg_Nu) - 1)]) # | ^^^^^^^^ F841 Parallel-in-Time#518 | # ax.plot(data['t'][40:-1], Delta_Nu / avg_Nu[:-1]) Parallel-in-Time#519 | # ax.plot(data['t'], np.abs(avg_Nu - avg_Nu[-1]) / avg_Nu[-1]) # | # = help: Remove assignment to unused variable `Delta_Nu`:
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This includes a very short tutorial for how to use PyTorch tensors in pySDC. The tutorial shows how to train a network to the result of an implicit Euler solve in pySDC.
Very much work in progress! I made the datatype slightly more robust. But it's pretty messy, honestly.
numpyhas unary functions that cover basic arithmetic, but I didn't find the tensor counterpart fast enough. So I overloaded some dunder functions such that the communicator attribute is not lost during arithmetic. Not great.I added a test that makes sure the error of the model prediction to the truth is below some threshold. However, the learning is not deterministic, afaik. I chose pretty large tolerances and the test has not failed on me, but it may be flaky. I suggest we don't worry about this now, but keep it in mind and remove if necessary. @aqibrahimbt, any advice?
@danielru, after the workflow is complete, the website is generated as an artifact that you can download. Please have a look if this is good for you. I am not known for making great advertisements...
@pancetta, I am not sure if I did everything correctly with the website. Locally it looked good, but please double check that I added the right files in the right places.