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%global _empty_manifest_terminate_build 0
Name: python-torchprof
Version: 1.4.0
Release: 1
Summary: Measure neural network device specific metrics (latency, flops, etc.)
License: MIT
URL: https://github.com/awwong1/torchprof
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/c7/e8/12242da108d5435d22a58416c8b98b45a4130ab9a4802b6f03287aa553aa/torchprof-1.4.0.tar.gz
BuildArch: noarch
Requires: python3-torch
%description
AlexNet | | | | | | | | |
├── features | | | | | | | | |
│├── 0 | 1.832ms | 7.264ms | 1.831ms | 7.235ms | 0 b | 0 b | 756.50 Kb | 3.71 Mb | 1
│├── 1 | 51.858us | 76.564us | 51.296us | 76.896us | 0 b | 0 b | 0 b | 0 b | 1
│├── 2 | 75.993us | 157.855us | 77.600us | 145.184us | 0 b | 0 b | 547.00 Kb | 1.60 Mb | 1
│├── 3 | 263.526us | 1.142ms | 489.472us | 1.918ms | 0 b | 0 b | 547.00 Kb | 2.68 Mb | 1
│├── 4 | 28.824us | 41.197us | 28.672us | 43.008us | 0 b | 0 b | 0 b | 0 b | 1
│├── 5 | 55.264us | 120.016us | 55.200us | 106.400us | 0 b | 0 b | 380.50 Kb | 1.11 Mb | 1
│├── 6 | 175.591us | 681.011us | 212.896us | 818.080us | 0 b | 0 b | 253.50 Kb | 8.27 Mb | 1
│├── 7 | 27.622us | 39.494us | 26.848us | 39.296us | 0 b | 0 b | 0 b | 0 b | 1
│├── 8 | 140.204us | 537.162us | 204.832us | 781.280us | 0 b | 0 b | 169.00 Kb | 10.20 Mb | 1
│├── 9 | 27.532us | 39.364us | 26.816us | 39.136us | 0 b | 0 b | 0 b | 0 b | 1
│├── 10 | 138.621us | 530.929us | 171.008us | 650.432us | 0 b | 0 b | 169.00 Kb | 7.08 Mb | 1
│├── 11 | 27.712us | 39.645us | 27.648us | 39.936us | 0 b | 0 b | 0 b | 0 b | 1
│└── 12 | 54.813us | 118.823us | 55.296us | 107.360us | 0 b | 0 b | 108.00 Kb | 324.00 Kb | 1
├── avgpool | 58.329us | 116.577us | 58.368us | 111.584us | 0 b | 0 b | 36.00 Kb | 108.00 Kb | 1
└── classifier | | | | | | | | |
├── 0 | 79.169us | 167.495us | 78.848us | 145.408us | 0 b | 0 b | 45.00 Kb | 171.00 Kb | 1
├── 1 | 404.070us | 423.755us | 793.600us | 793.600us | 0 b | 0 b | 16.00 Kb | 32.00 Kb | 1
├── 2 | 30.097us | 43.512us | 29.792us | 43.904us | 0 b | 0 b | 0 b | 0 b | 1
├── 3 | 53.390us | 121.042us | 53.248us | 99.328us | 0 b | 0 b | 20.00 Kb | 76.00 Kb | 1
├── 4 | 64.622us | 79.902us | 236.544us | 236.544us | 0 b | 0 b | 16.00 Kb | 32.00 Kb | 1
├── 5 | 28.854us | 41.067us | 28.544us | 41.856us | 0 b | 0 b | 0 b | 0 b | 1
└── 6 | 62.258us | 77.356us | 95.232us | 95.232us | 0 b | 0 b | 4.00 Kb | 8.00 Kb | 1
```
To see the low level operations that occur within each layer, print the contents of `prof.display(show_events=True)`.
```text
%package -n python3-torchprof
Summary: Measure neural network device specific metrics (latency, flops, etc.)
Provides: python-torchprof
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-torchprof
AlexNet | | | | | | | | |
├── features | | | | | | | | |
│├── 0 | 1.832ms | 7.264ms | 1.831ms | 7.235ms | 0 b | 0 b | 756.50 Kb | 3.71 Mb | 1
│├── 1 | 51.858us | 76.564us | 51.296us | 76.896us | 0 b | 0 b | 0 b | 0 b | 1
│├── 2 | 75.993us | 157.855us | 77.600us | 145.184us | 0 b | 0 b | 547.00 Kb | 1.60 Mb | 1
│├── 3 | 263.526us | 1.142ms | 489.472us | 1.918ms | 0 b | 0 b | 547.00 Kb | 2.68 Mb | 1
│├── 4 | 28.824us | 41.197us | 28.672us | 43.008us | 0 b | 0 b | 0 b | 0 b | 1
│├── 5 | 55.264us | 120.016us | 55.200us | 106.400us | 0 b | 0 b | 380.50 Kb | 1.11 Mb | 1
│├── 6 | 175.591us | 681.011us | 212.896us | 818.080us | 0 b | 0 b | 253.50 Kb | 8.27 Mb | 1
│├── 7 | 27.622us | 39.494us | 26.848us | 39.296us | 0 b | 0 b | 0 b | 0 b | 1
│├── 8 | 140.204us | 537.162us | 204.832us | 781.280us | 0 b | 0 b | 169.00 Kb | 10.20 Mb | 1
│├── 9 | 27.532us | 39.364us | 26.816us | 39.136us | 0 b | 0 b | 0 b | 0 b | 1
│├── 10 | 138.621us | 530.929us | 171.008us | 650.432us | 0 b | 0 b | 169.00 Kb | 7.08 Mb | 1
│├── 11 | 27.712us | 39.645us | 27.648us | 39.936us | 0 b | 0 b | 0 b | 0 b | 1
│└── 12 | 54.813us | 118.823us | 55.296us | 107.360us | 0 b | 0 b | 108.00 Kb | 324.00 Kb | 1
├── avgpool | 58.329us | 116.577us | 58.368us | 111.584us | 0 b | 0 b | 36.00 Kb | 108.00 Kb | 1
└── classifier | | | | | | | | |
├── 0 | 79.169us | 167.495us | 78.848us | 145.408us | 0 b | 0 b | 45.00 Kb | 171.00 Kb | 1
├── 1 | 404.070us | 423.755us | 793.600us | 793.600us | 0 b | 0 b | 16.00 Kb | 32.00 Kb | 1
├── 2 | 30.097us | 43.512us | 29.792us | 43.904us | 0 b | 0 b | 0 b | 0 b | 1
├── 3 | 53.390us | 121.042us | 53.248us | 99.328us | 0 b | 0 b | 20.00 Kb | 76.00 Kb | 1
├── 4 | 64.622us | 79.902us | 236.544us | 236.544us | 0 b | 0 b | 16.00 Kb | 32.00 Kb | 1
├── 5 | 28.854us | 41.067us | 28.544us | 41.856us | 0 b | 0 b | 0 b | 0 b | 1
└── 6 | 62.258us | 77.356us | 95.232us | 95.232us | 0 b | 0 b | 4.00 Kb | 8.00 Kb | 1
```
To see the low level operations that occur within each layer, print the contents of `prof.display(show_events=True)`.
```text
%package help
Summary: Development documents and examples for torchprof
Provides: python3-torchprof-doc
%description help
AlexNet | | | | | | | | |
├── features | | | | | | | | |
│├── 0 | 1.832ms | 7.264ms | 1.831ms | 7.235ms | 0 b | 0 b | 756.50 Kb | 3.71 Mb | 1
│├── 1 | 51.858us | 76.564us | 51.296us | 76.896us | 0 b | 0 b | 0 b | 0 b | 1
│├── 2 | 75.993us | 157.855us | 77.600us | 145.184us | 0 b | 0 b | 547.00 Kb | 1.60 Mb | 1
│├── 3 | 263.526us | 1.142ms | 489.472us | 1.918ms | 0 b | 0 b | 547.00 Kb | 2.68 Mb | 1
│├── 4 | 28.824us | 41.197us | 28.672us | 43.008us | 0 b | 0 b | 0 b | 0 b | 1
│├── 5 | 55.264us | 120.016us | 55.200us | 106.400us | 0 b | 0 b | 380.50 Kb | 1.11 Mb | 1
│├── 6 | 175.591us | 681.011us | 212.896us | 818.080us | 0 b | 0 b | 253.50 Kb | 8.27 Mb | 1
│├── 7 | 27.622us | 39.494us | 26.848us | 39.296us | 0 b | 0 b | 0 b | 0 b | 1
│├── 8 | 140.204us | 537.162us | 204.832us | 781.280us | 0 b | 0 b | 169.00 Kb | 10.20 Mb | 1
│├── 9 | 27.532us | 39.364us | 26.816us | 39.136us | 0 b | 0 b | 0 b | 0 b | 1
│├── 10 | 138.621us | 530.929us | 171.008us | 650.432us | 0 b | 0 b | 169.00 Kb | 7.08 Mb | 1
│├── 11 | 27.712us | 39.645us | 27.648us | 39.936us | 0 b | 0 b | 0 b | 0 b | 1
│└── 12 | 54.813us | 118.823us | 55.296us | 107.360us | 0 b | 0 b | 108.00 Kb | 324.00 Kb | 1
├── avgpool | 58.329us | 116.577us | 58.368us | 111.584us | 0 b | 0 b | 36.00 Kb | 108.00 Kb | 1
└── classifier | | | | | | | | |
├── 0 | 79.169us | 167.495us | 78.848us | 145.408us | 0 b | 0 b | 45.00 Kb | 171.00 Kb | 1
├── 1 | 404.070us | 423.755us | 793.600us | 793.600us | 0 b | 0 b | 16.00 Kb | 32.00 Kb | 1
├── 2 | 30.097us | 43.512us | 29.792us | 43.904us | 0 b | 0 b | 0 b | 0 b | 1
├── 3 | 53.390us | 121.042us | 53.248us | 99.328us | 0 b | 0 b | 20.00 Kb | 76.00 Kb | 1
├── 4 | 64.622us | 79.902us | 236.544us | 236.544us | 0 b | 0 b | 16.00 Kb | 32.00 Kb | 1
├── 5 | 28.854us | 41.067us | 28.544us | 41.856us | 0 b | 0 b | 0 b | 0 b | 1
└── 6 | 62.258us | 77.356us | 95.232us | 95.232us | 0 b | 0 b | 4.00 Kb | 8.00 Kb | 1
```
To see the low level operations that occur within each layer, print the contents of `prof.display(show_events=True)`.
```text
%prep
%autosetup -n torchprof-1.4.0
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-torchprof -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 1.4.0-1
- Package Spec generated
|
