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time_analysis_test_cell_gym-v18.5.txt
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time_analysis_test_cell_gym-v18.5.txt
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49663774 function calls (46843845 primitive calls) in 54.302 seconds
Ordered by: cumulative time
ncalls tottime percall cumtime percall filename:lineno(function)
2581/1 0.019 0.000 54.305 54.305 {built-in method builtins.exec}
1 0.012 0.012 54.305 54.305 test_cell_gym.py:1(<module>)
1000 0.026 0.000 50.982 0.051 cell_gym.py:52(step)
3062492/1189161 2.572 0.000 34.408 0.000 {built-in method numpy.core._multiarray_umath.implement_array_function}
2000 0.013 0.000 30.999 0.015 core.py:430(cell_penalty)
1574 0.455 0.000 30.677 0.019 core.py:358(overlap_potential)
7266 0.087 0.000 21.466 0.003 utils.py:114(overlap_fun)
1000 0.112 0.000 17.962 0.018 core.py:493(cell_step)
1028 0.007 0.000 16.623 0.016 core.py:218(lattice_reduction)
3463 0.344 0.000 16.269 0.005 core.py:196(new_combination)
84140 0.699 0.000 16.114 0.000 utils.py:56(surface_area)
1000 0.006 0.000 15.589 0.016 scenario.py:78(reward)
186970 0.148 0.000 14.095 0.000 <__array_function__ internals>:2(pinv)
186970 4.000 0.000 13.641 0.000 linalg.py:1915(pinv)
259969 0.176 0.000 13.599 0.000 <__array_function__ internals>:2(cross)
259969 4.424 0.000 13.132 0.000 numeric.py:1478(cross)
50862 1.185 0.000 12.083 0.000 utils.py:137(Fun_AB)
7266 0.028 0.000 11.820 0.002 optimize.py:1904(fminbound)
7266 1.189 0.000 11.793 0.002 optimize.py:1982(_minimize_scalar_bounded)
43596 0.048 0.000 10.506 0.000 utils.py:125(<lambda>)
779907 0.495 0.000 8.178 0.000 <__array_function__ internals>:2(moveaxis)
14532 0.732 0.000 7.926 0.001 core.py:140(char_mat)
779907 2.264 0.000 7.121 0.000 numeric.py:1398(moveaxis)
176 0.003 0.000 5.206 0.030 __init__.py:1(<module>)
186970 0.161 0.000 5.151 0.000 <__array_function__ internals>:2(svd)
186970 3.297 0.000 4.809 0.000 linalg.py:1482(svd)
1574 0.729 0.000 4.314 0.003 core.py:445(build_list)
19588 0.068 0.000 3.901 0.000 utils.py:27(euler2mat)
1559814 2.534 0.000 3.813 0.000 numeric.py:1335(normalize_axis_tuple)
357474 0.249 0.000 3.444 0.000 <__array_function__ internals>:2(norm)
385628 0.294 0.000 3.395 0.000 <__array_function__ internals>:2(amax)
19588 0.148 0.000 3.281 0.000 rotation_conversions.py:149(euler_angles_to_matrix)
31188 0.146 0.000 2.962 0.000 core.py:29(periodic_image)
19609 0.561 0.000 2.913 0.000 {built-in method _functools.reduce}
357474 1.605 0.000 2.913 0.000 linalg.py:2363(norm)
842297/31189 1.190 0.000 2.818 0.000 copy.py:132(deepcopy)
385628 0.509 0.000 2.802 0.000 fromnumeric.py:2638(amax)
400324 0.314 0.000 2.675 0.000 fromnumeric.py:51(_wrapfunc)
62778/31590 0.264 0.000 2.523 0.000 copy.py:269(_reconstruct)
58764 0.483 0.000 2.351 0.000 rotation_conversions.py:121(_axis_angle_rotation)
389234 0.662 0.000 2.325 0.000 fromnumeric.py:69(_wrapreduction)
2202/8 0.011 0.000 2.259 0.282 <frozen importlib._bootstrap>:978(_find_and_load)
2198/8 0.009 0.000 2.259 0.282 <frozen importlib._bootstrap>:948(_find_and_load_unlocked)
2118/9 0.011 0.000 2.254 0.250 <frozen importlib._bootstrap>:663(_load_unlocked)
1945/9 0.005 0.000 2.253 0.250 <frozen importlib._bootstrap_external>:722(exec_module)
2812/9 0.002 0.000 2.253 0.250 <frozen importlib._bootstrap>:211(_call_with_frames_removed)
97542 0.183 0.000 2.206 0.000 core.py:308(max_od)
14532 0.016 0.000 2.160 0.000 <__array_function__ internals>:2(transpose)
62431/31189 0.264 0.000 2.140 0.000 copy.py:237(_deepcopy_dict)
14532 0.011 0.000 2.110 0.000 fromnumeric.py:601(transpose)
197084 0.226 0.000 1.940 0.000 core.py:133(outscribed_d)
14532 1.770 0.000 1.770 0.000 {method 'transpose' of 'torch._C._TensorBase' objects}
1028 0.034 0.000 1.755 0.002 scenario.py:117(observation)
1 0.000 0.000 1.614 1.614 a2c.py:1(<module>)
835/82 0.002 0.000 1.520 0.019 {built-in method builtins.__import__}
1574 0.124 0.000 1.499 0.001 core.py:318(upbound_image)
11254/4884 0.009 0.000 1.426 0.000 <frozen importlib._bootstrap>:1009(_handle_fromlist)
2056 0.010 0.000 1.393 0.001 utils.py:35(euler2qua)
403256 1.376 0.000 1.376 0.000 {method 'reduce' of 'numpy.ufunc' objects}
373940 0.223 0.000 1.374 0.000 linalg.py:215(transpose)
373940 0.259 0.000 1.151 0.000 <__array_function__ internals>:2(swapaxes)
467143 0.296 0.000 1.078 0.000 <__array_function__ internals>:2(dot)
12592 0.052 0.000 1.007 0.000 utils.py:104(scaled_coordinate)
373940 0.266 0.000 0.989 0.000 linalg.py:107(_makearray)
1467424/1467423 0.660 0.000 0.987 0.000 {built-in method numpy.asarray}
22 0.001 0.000 0.904 0.041 utils.py:1(<module>)
2056 0.293 0.000 0.875 0.000 rotation_conversions.py:96(matrix_to_quaternion)
1000 0.008 0.000 0.855 0.001 base_class.py:559(predict)
1000 0.026 0.000 0.847 0.001 policies.py:307(predict)
7260 0.042 0.000 0.820 0.000 core.py:20(scaled_centroid)
1559814 0.519 0.000 0.802 0.000 numeric.py:1385(<listcomp>)
1 0.000 0.000 0.782 0.782 on_policy_algorithm.py:1(<module>)
1 0.000 0.000 0.769 0.769 base_class.py:1(<module>)
7 0.002 0.000 0.743 0.106 __init__.py:10(<module>)
7549 0.038 0.000 0.686 0.000 core.py:176(volume)
5426 0.024 0.000 0.678 0.000 core.py:289(fraction)
2 0.000 0.000 0.676 0.338 logger.py:1(<module>)
60820 0.668 0.000 0.668 0.000 {built-in method torch.stack}
373940 0.193 0.000 0.659 0.000 fromnumeric.py:550(swapaxes)
186970 0.395 0.000 0.656 0.000 linalg.py:135(_commonType)
5204 0.059 0.000 0.629 0.000 core.py:37(periodic_check)
16 0.001 0.000 0.612 0.038 __init__.py:3(<module>)
1 0.000 0.000 0.608 0.608 pyplot.py:19(<module>)
20588 0.568 0.000 0.568 0.000 {built-in method torch.as_tensor}
5138116/5136169 0.534 0.000 0.534 0.000 {built-in method builtins.len}
226524 0.184 0.000 0.518 0.000 core.py:118(semi_axis)
2116/2110 0.004 0.000 0.496 0.000 <frozen importlib._bootstrap>:576(module_from_spec)
500500 0.474 0.000 0.474 0.000 {built-in method numpy.array}
1000 0.004 0.000 0.468 0.000 policies.py:622(_predict)
167908 0.153 0.000 0.461 0.000 _tensor.py:753(__array__)
147 0.001 0.000 0.442 0.003 <frozen importlib._bootstrap_external>:1040(create_module)
147 0.437 0.003 0.441 0.003 {built-in method _imp.create_dynamic}
2339721 0.428 0.000 0.428 0.000 {built-in method numpy.core._multiarray_umath.normalize_axis_index}
1945 0.072 0.000 0.418 0.000 <frozen importlib._bootstrap_external>:793(get_code)
1000 0.006 0.000 0.402 0.000 policies.py:650(get_distribution)
16/15 0.000 0.000 0.401 0.027 __init__.py:109(import_module)
18/15 0.000 0.000 0.401 0.027 <frozen importlib._bootstrap>:994(_gcd_import)
717394 0.270 0.000 0.383 0.000 linalg.py:112(isComplexType)
780442 0.316 0.000 0.366 0.000 {built-in method builtins.sorted}
1 0.000 0.000 0.357 0.357 pyplot.py:182(switch_backend)
1028 0.009 0.000 0.347 0.000 core.py:184(distortion)
58764 0.346 0.000 0.346 0.000 {built-in method torch.cos}
1 0.000 0.000 0.346 0.346 connect.py:2(<module>)
8224 0.280 0.000 0.338 0.000 rotation_conversions.py:85(_sqrt_positive_part)
4608/4455 0.082 0.000 0.335 0.000 {built-in method builtins.__build_class__}
794439 0.319 0.000 0.319 0.000 {method 'transpose' of 'numpy.ndarray' objects}
2193636 0.306 0.000 0.306 0.000 {method 'get' of 'dict' objects}
280827 0.205 0.000 0.272 0.000 copy.py:253(_keep_alive)
4 0.000 0.000 0.267 0.067 __init__.py:6(<module>)
14532 0.047 0.000 0.259 0.000 fromnumeric.py:38(_wrapit)
1128674 0.249 0.000 0.252 0.000 {built-in method builtins.getattr}
1483665 0.248 0.000 0.249 0.000 {built-in method builtins.issubclass}
389234 0.245 0.000 0.245 0.000 fromnumeric.py:70(<dictcomp>)
1945 0.006 0.000 0.244 0.000 <frozen importlib._bootstrap_external>:523(_compile_bytecode)
58764 0.239 0.000 0.239 0.000 {built-in method torch.sin}
46596 0.082 0.000 0.238 0.000 _tensor.py:763(__array_wrap__)
58764 0.236 0.000 0.236 0.000 {method 'reshape' of 'torch._C._TensorBase' objects}
1945 0.236 0.000 0.236 0.000 {built-in method marshal.loads}
59764 0.235 0.000 0.235 0.000 {built-in method torch.ones_like}
168908 0.234 0.000 0.234 0.000 {method 'numpy' of 'torch._C._TensorBase' objects}
6 0.000 0.000 0.229 0.038 api.py:3(<module>)
2161 0.014 0.000 0.228 0.000 <frozen importlib._bootstrap>:882(_find_spec)
373940 0.154 0.000 0.225 0.000 linalg.py:125(_realType)
1 0.000 0.000 0.216 0.216 embed.py:4(<module>)
1000 0.009 0.000 0.204 0.000 policies.py:597(_get_action_dist_from_latent)
2139 0.002 0.000 0.204 0.000 <frozen importlib._bootstrap_external>:1272(find_spec)
19588 0.202 0.000 0.202 0.000 {built-in method torch.unbind}
2141/2139 0.008 0.000 0.202 0.000 <frozen importlib._bootstrap_external>:1240(_get_spec)
14532 0.023 0.000 0.201 0.000 <__array_function__ internals>:2(diag)
578220 0.200 0.000 0.200 0.000 {method 'astype' of 'numpy.ndarray' objects}
66988 0.198 0.000 0.198 0.000 {built-in method torch.zeros_like}
1000 0.002 0.000 0.189 0.000 policies.py:207(set_training_mode)
17000/1000 0.042 0.000 0.187 0.000 module.py:1820(train)
2750 0.027 0.000 0.180 0.000 <frozen importlib._bootstrap_external>:1356(find_spec)
1000 0.024 0.000 0.177 0.000 distributions.py:144(proba_distribution)
2203 0.011 0.000 0.168 0.000 {method 'sort' of 'list' objects}
6168 0.132 0.000 0.166 0.000 rotation_conversions.py:67(_copysign)
4 0.001 0.000 0.165 0.041 functional.py:1(<module>)
9000/4000 0.026 0.000 0.162 0.000 module.py:1124(_call_impl)
9 0.000 0.000 0.160 0.018 __init__.py:9(<module>)
1 0.000 0.000 0.160 0.160 __init__.py:108(<module>)
10852 0.029 0.000 0.158 0.000 core.py:122(volume)
373940 0.156 0.000 0.156 0.000 {method 'swapaxes' of 'numpy.ndarray' objects}
14020 0.018 0.000 0.156 0.000 utils.py:18(abs_norm)
14532 0.114 0.000 0.154 0.000 twodim_base.py:234(diag)
124752 0.046 0.000 0.152 0.000 copy.py:274(<genexpr>)
779907 0.147 0.000 0.147 0.000 numeric.py:1460(<listcomp>)
46596 0.146 0.000 0.146 0.000 {built-in method torch.from_numpy}
1 0.000 0.000 0.143 0.143 colorbar.py:20(<module>)
1559844 0.141 0.000 0.141 0.000 {built-in method _operator.index}
1000 0.021 0.000 0.137 0.000 cell_gym.py:99(_set_action)
343455 0.136 0.000 0.136 0.000 {method 'ravel' of 'numpy.ndarray' objects}
779991 0.135 0.000 0.135 0.000 {method 'insert' of 'list' objects}
1000 0.010 0.000 0.132 0.000 normal.py:48(__init__)
202949 0.122 0.000 0.131 0.000 {built-in method builtins.max}
186970 0.128 0.000 0.128 0.000 linalg.py:102(get_linalg_error_extobj)
1284274 0.128 0.000 0.128 0.000 {built-in method builtins.id}
16 0.000 0.000 0.127 0.008 __init__.py:2(<module>)
1 0.000 0.000 0.127 0.127 scenario.py:1(<module>)
1000 0.003 0.000 0.126 0.000 torch_layers.py:232(forward_actor)
779907 0.118 0.000 0.118 0.000 numeric.py:1394(_moveaxis_dispatcher)
186970 0.118 0.000 0.118 0.000 linalg.py:193(_assert_stacked_2d)
2000 0.010 0.000 0.116 0.000 container.py:137(forward)
1 0.000 0.000 0.116 0.116 interactiveshell.py:1(<module>)
1 0.000 0.000 0.108 0.108 __init__.py:398(<module>)
333137/315714 0.078 0.000 0.108 0.000 {built-in method builtins.isinstance}
155940 0.106 0.000 0.106 0.000 {method '__deepcopy__' of 'numpy.ndarray' objects}
8017 0.004 0.000 0.106 0.000 <frozen importlib._bootstrap_external>:74(_path_stat)
4 0.000 0.000 0.106 0.026 __init__.py:7(<module>)
8345 0.105 0.000 0.105 0.000 {built-in method posix.stat}
259988 0.104 0.000 0.104 0.000 {built-in method numpy.empty}
103755 0.100 0.000 0.100 0.000 {method 'reshape' of 'numpy.ndarray' objects}
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