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rpgoldman/python-profile-before.txt

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Profile output from successful vectorized posterior predictive sampling.
Raw
python-profile-before.txt
Vectorized sample posterior predictive took 11.62 seconds
2259149 function calls (2258633 primitive calls) in 11.615 seconds
This is for a successful, quick run of `pm.fast_sample_posterior_predictive`
Ordered by: standard name
ncalls tottime percall cumtime percall filename:lineno(function)
2 0.000 0.000 0.000 0.000 <__array_function__ internals>:2(all)
48000 0.128 0.000 1.304 0.000 <__array_function__ internals>:2(any)
64052 0.159 0.000 1.388 0.000 <__array_function__ internals>:2(atleast_1d)
2 0.000 0.000 0.000 0.000 <__array_function__ internals>:2(broadcast_arrays)
6 0.000 0.000 0.000 0.000 <__array_function__ internals>:2(broadcast_to)
8 0.000 0.000 0.002 0.000 <__array_function__ internals>:2(concatenate)
2 0.000 0.000 0.000 0.000 <__array_function__ internals>:2(copyto)
2 0.000 0.000 0.000 0.000 <__array_function__ internals>:2(empty_like)
16000 0.038 0.000 0.287 0.000 <__array_function__ internals>:2(place)
16001 0.044 0.000 1.034 0.000 <__array_function__ internals>:2(prod)
16000 0.038 0.000 0.357 0.000 <__array_function__ internals>:2(reshape)
32000 0.066 0.000 0.172 0.000 <__array_function__ internals>:2(shape)
2 0.000 0.000 0.000 0.000 <__array_function__ internals>:2(zeros_like)
1 0.000 0.000 0.000 0.000 <string>:5(_parse_args_rvs)
4 0.000 0.000 0.000 0.000 __init__.py:1050(__init__)
2 0.000 0.000 0.000 0.000 __init__.py:1272(getLogger)
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11 0.000 0.000 0.000 0.000 __init__.py:1677(isEnabledFor)
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2 0.000 0.000 0.000 0.000 __init__.py:2003(getLogger)
2 0.000 0.000 0.000 0.000 __init__.py:214(_acquireLock)
2 0.000 0.000 0.000 0.000 __init__.py:223(_releaseLock)
1 0.000 0.000 0.000 0.000 __init__.py:316(<listcomp>)
1 0.000 0.000 0.000 0.000 __init__.py:772(__init__)
1 0.000 0.000 0.034 0.034 __init__.py:88(function)
1 0.000 0.000 0.000 0.000 __init__.py:974(__init__)
7 0.000 0.000 0.000 0.000 __init__.py:998(__getitem__)
4020 0.003 0.000 0.030 0.000 _asarray.py:14(asarray)
64058 0.059 0.000 0.335 0.000 _asarray.py:86(asanyarray)
13 0.000 0.000 0.000 0.000 _collections_abc.py:580(remove)
28 0.000 0.000 0.002 0.000 _collections_abc.py:604(__ior__)
64000 0.480 0.000 0.480 0.000 _continuous_distns.py:250(_norm_cdf)
16000 0.067 0.000 0.067 0.000 _continuous_distns.py:258(_norm_ppf)
16000 0.107 0.000 0.377 0.000 _continuous_distns.py:7149(_truncnorm_get_delta_scalar)
16000 1.933 0.000 4.651 0.000 _continuous_distns.py:7406(_truncnorm_ppf_scalar)
1 0.000 0.000 0.000 0.000 _continuous_distns.py:7492(_argcheck)
16000 0.304 0.000 5.922 0.000 _continuous_distns.py:7573(_ppf)
1 0.486 0.486 9.633 9.633 _continuous_distns.py:7638(_rvs)
48000 0.091 0.000 0.091 0.000 _continuous_distns.py:7683(<genexpr>)
16000 0.541 0.000 9.010 0.001 _continuous_distns.py:7692(_rvs_scalar)
1 0.000 0.000 0.000 0.000 _distn_infrastructure.py:3595(_check_shape)
1 0.000 0.000 0.000 0.000 _distn_infrastructure.py:798(_argcheck_rvs)
4 0.000 0.000 0.000 0.000 _distn_infrastructure.py:812(squeeze_left)
1 0.000 0.000 0.000 0.000 _distn_infrastructure.py:828(<listcomp>)
1 0.000 0.000 0.000 0.000 _distn_infrastructure.py:857(<listcomp>)
1 0.000 0.000 9.633 9.633 _distn_infrastructure.py:945(rvs)
1 0.000 0.000 0.000 0.000 _dtype.py:24(_kind_name)
1 0.000 0.000 0.000 0.000 _dtype.py:307(_name_includes_bit_suffix)
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3 0.000 0.000 0.000 0.000 _version.py:136(__lt__)
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3 0.000 0.000 0.000 0.000 _version.py:78(_compare_version)
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16250 0.021 0.000 0.066 0.000 abc.py:96(__instancecheck__)
1 0.000 0.000 0.000 0.000 base.py:303(nchains)
13 0.000 0.000 0.000 0.000 base.py:307(chains)
2 0.000 0.000 0.000 0.000 base.py:369(__len__)
2 0.000 0.000 0.000 0.000 base.py:373(varnames)
8 0.000 0.000 0.006 0.001 base.py:460(get_values)
8 0.000 0.000 0.000 0.000 base.py:487(<listcomp>)
8 0.003 0.000 0.006 0.001 base.py:598(_squeeze_cat)
274 0.000 0.000 0.001 0.000 basic.py:1151(__hash__)
1 0.000 0.000 0.000 0.000 basic.py:212(constant)
1 0.000 0.000 0.000 0.000 basic.py:248(<listcomp>)
1 0.000 0.000 0.000 0.000 basic.py:260(convert)
3 0.000 0.000 0.000 0.000 basic.py:335(filter)
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1 0.000 0.000 0.000 0.000 basic.py:391(get_scalar_constant_value)
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5 0.000 0.000 0.000 0.000 basic.py:446(__str__)
6 0.000 0.000 0.000 0.000 basic.py:689(c_code_cache_version)
18 0.000 0.000 0.000 0.000 basic.py:93(get_scalar_type)
1 0.000 0.000 0.000 0.000 basic.py:96(as_tensor_variable)
1 0.000 0.000 0.000 0.000 blas.py:1433(add_requirements)
1 0.000 0.000 0.000 0.000 blas.py:1436(apply)
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2 0.000 0.000 0.000 0.000 blas.py:1928(local_dot22_to_dot22scalar)
2 0.000 0.000 0.000 0.000 blas_scipy.py:61(use_scipy_ger)
2 0.000 0.000 0.000 0.000 blas_scipy.py:67(make_ger_destructive)
1 0.000 0.000 0.000 0.000 builders.py:821(inline_ofg_expansion)
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3 0.000 0.000 0.000 0.000 cc.py:1124(libraries)
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3 0.000 0.000 0.000 0.000 cc.py:1481(in_sig)
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3 0.000 0.000 0.000 0.000 cc.py:1574(<listcomp>)
3 0.000 0.000 0.003 0.001 cc.py:1679(cthunk_factory)
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9 0.000 0.000 0.000 0.000 cmodule.py:2281(<genexpr>)
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1 0.000 0.000 0.000 0.000 codecs.py:260(__init__)
1 0.000 0.000 0.000 0.000 codecs.py:309(__init__)
6 0.000 0.000 0.000 0.000 codecs.py:319(decode)
18 0.000 0.000 0.001 0.000 compilerop.py:153(check_linecache_ipython)
3 0.000 0.000 0.000 0.000 configdefaults.py:229(local_bitwidth)
2 0.000 0.000 0.000 0.000 configparser.py:103(__exit__)
3 0.000 0.000 0.000 0.000 configparser.py:154(_hash_from_code)
3 0.000 0.000 0.000 0.000 configparser.py:165(get_config_hash)
18 0.000 0.000 0.000 0.000 configparser.py:176(<lambda>)
3 0.000 0.000 0.000 0.000 configparser.py:176(<listcomp>)
3 0.000 0.000 0.000 0.000 configparser.py:180(<listcomp>)
10 0.000 0.000 0.000 0.000 configparser.py:248(mutable)
10 0.000 0.000 0.000 0.000 configparser.py:252(apply)
10 0.000 0.000 0.000 0.000 configparser.py:261(validate)
118 0.000 0.000 0.000 0.000 configparser.py:277(__get__)
10 0.000 0.000 0.000 0.000 configparser.py:292(__set__)
6 0.000 0.000 0.000 0.000 configparser.py:328(_apply)
2 0.000 0.000 0.000 0.000 configparser.py:72(__init__)
2 0.000 0.000 0.000 0.000 configparser.py:77(<listcomp>)
2 0.000 0.000 0.000 0.000 configparser.py:91(__enter__)
1 0.000 0.000 11.570 11.570 continuous.py:680(random)
1 0.000 0.000 9.633 9.633 continuous.py:710(_random)
15 0.000 0.000 0.000 0.000 copy.py:257(_reconstruct)
15 0.000 0.000 0.000 0.000 copy.py:66(copy)
15 0.000 0.000 0.000 0.000 copyreg.py:90(__newobj__)
11 0.000 0.000 0.000 0.000 destroyhandler.py:298(__init__)
11 0.000 0.000 0.000 0.000 destroyhandler.py:333(on_attach)
1 0.000 0.000 0.000 0.000 destroyhandler.py:390(unpickle)
2 0.000 0.000 0.000 0.000 destroyhandler.py:511(on_import)
3 0.000 0.000 0.000 0.000 destroyhandler.py:679(orderings)
1 0.001 0.001 9.638 9.638 distribution.py:1010(generate_samples)
1 0.000 0.000 0.000 0.000 distribution.py:1050(<genexpr>)
1 0.000 0.000 0.000 0.000 distribution.py:1074(<listcomp>)
2 0.000 0.000 0.000 0.000 distribution.py:634(__new__)
2 0.000 0.000 0.000 0.000 distribution.py:640(__init__)
3 0.000 0.000 0.000 0.000 distribution.py:652(parent)
6 0.000 0.000 0.000 0.000 distribution.py:674(is_fast_drawable)
1 0.000 0.000 1.931 1.931 distribution.py:680(draw_values)
4 0.000 0.000 0.000 0.000 fg.py:171(add_input)
15 0.000 0.000 0.000 0.000 fg.py:186(setup_var)
6 0.000 0.000 0.000 0.000 fg.py:196(setup_node)
7 0.000 0.000 0.000 0.000 fg.py:242(add_client)
1 0.000 0.000 0.000 0.000 fg.py:254(remove_client)
1 0.000 0.000 0.000 0.000 fg.py:299(<genexpr>)
5 0.000 0.000 0.001 0.000 fg.py:318(import_var)
5 0.000 0.000 0.000 0.000 fg.py:348(import_node)
1 0.000 0.000 0.001 0.001 fg.py:404(change_input)
1 0.000 0.000 0.001 0.001 fg.py:458(replace)
62 0.000 0.000 0.001 0.000 fg.py:550(attach_feature)
33 0.000 0.000 0.000 0.000 fg.py:580(remove_feature)
9 0.000 0.000 0.000 0.000 fg.py:597(execute_callbacks)
21 0.000 0.000 0.000 0.000 fg.py:634(toposort)
10 0.000 0.000 0.000 0.000 fg.py:662(orderings)
4 0.000 0.000 0.001 0.000 fg.py:95(__init__)
32000 0.024 0.000 0.024 0.000 fromnumeric.py:1911(_shape_dispatcher)
32000 0.043 0.000 0.043 0.000 fromnumeric.py:1915(shape)
16000 0.006 0.000 0.006 0.000 fromnumeric.py:194(_reshape_dispatcher)
16000 0.045 0.000 0.217 0.000 fromnumeric.py:199(reshape)
48000 0.023 0.000 0.023 0.000 fromnumeric.py:2245(_any_dispatcher)
48000 0.127 0.000 1.044 0.000 fromnumeric.py:2249(any)
2 0.000 0.000 0.000 0.000 fromnumeric.py:2333(_all_dispatcher)
2 0.000 0.000 0.000 0.000 fromnumeric.py:2337(all)
16001 0.009 0.000 0.009 0.000 fromnumeric.py:2876(_prod_dispatcher)
16001 0.121 0.000 0.940 0.000 fromnumeric.py:2881(prod)
16000 0.043 0.000 0.173 0.000 fromnumeric.py:52(_wrapfunc)
64003 0.470 0.000 1.736 0.000 fromnumeric.py:70(_wrapreduction)
64003 0.120 0.000 0.120 0.000 fromnumeric.py:71(<dictcomp>)
274 0.000 0.000 0.000 0.000 frozendict.py:40(__hash__)
16000 0.055 0.000 0.055 0.000 function_base.py:1697(_place_dispatcher)
16000 0.033 0.000 0.152 0.000 function_base.py:1701(place)
8 0.000 0.000 0.000 0.000 function_base.py:1818(_update_dim_sizes)
2 0.000 0.000 0.002 0.001 function_base.py:1852(_parse_input_dimensions)
4 0.000 0.000 0.000 0.000 function_base.py:1881(_calculate_shapes)
16 0.000 0.000 0.000 0.000 function_base.py:1883(<genexpr>)
4 0.000 0.000 0.000 0.000 function_base.py:1883(<listcomp>)
2 0.000 0.000 0.000 0.000 function_base.py:1887(_create_arrays)
4 0.000 0.000 0.000 0.000 function_base.py:1890(<genexpr>)
2 0.000 0.000 1.928 0.964 function_base.py:2080(__call__)
2 0.000 0.000 1.928 0.964 function_base.py:2179(_vectorize_call)
2 0.209 0.104 1.928 0.964 function_base.py:2201(_vectorize_call_with_signature)
8 0.000 0.000 0.000 0.000 function_base.py:2209(<genexpr>)
2 0.000 0.000 0.000 0.000 function_base.py:2215(<listcomp>)
32000 0.026 0.000 0.026 0.000 function_base.py:2223(<genexpr>)
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6 0.000 0.000 0.000 0.000 function_base.py:244(iterable)
65 0.001 0.000 0.001 0.000 graph.py:1042(io_toposort)
65 0.000 0.000 0.000 0.000 graph.py:1066(<listcomp>)
167 0.000 0.000 0.000 0.000 graph.py:1073(<listcomp>)
102 0.000 0.000 0.000 0.000 graph.py:1078(<genexpr>)
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2 0.000 0.000 0.000 0.000 index_tricks.py:634(__init__)
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1 0.000 0.000 0.000 0.000 io.py:172(__init__)
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1 0.000 0.000 0.000 0.000 model.py:390(modelcontext)
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32 0.000 0.000 0.000 0.000 ndarray.py:319(get_values)
2 0.000 0.000 0.000 0.000 nnet.py:1521(crossentropy_to_crossentropy_with_softmax_with_bias)
2 0.000 0.000 0.000 0.000 nnet.py:1535(search_make_one_sub)
1 0.000 0.000 0.000 0.000 nnet.py:1560(crossentropy_to_crossentropy_with_softmax)
1 0.000 0.000 0.000 0.000 nnet.py:1578(search_make_one_sub)
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