Comments (5)
chrishkchris
commented on August 26, 2024
could you place the result of "conda list" here?
from singa.
chrishkchris
commented on August 26, 2024
You may check the anaconda cloud for the existing version available
https://anaconda.org/nusdbsystem/singa-cpu/files
I have run python 3.7 singa 3.0.0 cpu in ubuntu without any problem, you may see the following log:
dcsysh@ncrs:/$ conda create -n singacpu37 python=3.7
Collecting package metadata (current_repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.8.2
latest version: 4.8.3
Please update conda by running
$ conda update -n base -c defaults conda
## Package Plan ##
environment location: /home/dcsysh/anaconda3/envs/singacpu37
added / updated specs:
- python=3.7
The following packages will be downloaded:
package | build
---------------------------|-----------------
python_abi-3.7 | 1_cp37m 4 KB conda-forge
setuptools-46.4.0 | py37hc8dfbb8_0 633 KB conda-forge
------------------------------------------------------------
Total: 637 KB
The following NEW packages will be INSTALLED:
_libgcc_mutex conda-forge/linux-64::_libgcc_mutex-0.1-conda_forge
_openmp_mutex conda-forge/linux-64::_openmp_mutex-4.5-0_gnu
ca-certificates conda-forge/linux-64::ca-certificates-2020.4.5.1-hecc5488_0
certifi conda-forge/linux-64::certifi-2020.4.5.1-py37hc8dfbb8_0
ld_impl_linux-64 conda-forge/linux-64::ld_impl_linux-64-2.34-h53a641e_0
libffi conda-forge/linux-64::libffi-3.2.1-he1b5a44_1007
libgcc-ng conda-forge/linux-64::libgcc-ng-9.2.0-h24d8f2e_2
libgomp conda-forge/linux-64::libgomp-9.2.0-h24d8f2e_2
libstdcxx-ng conda-forge/linux-64::libstdcxx-ng-9.2.0-hdf63c60_2
ncurses conda-forge/linux-64::ncurses-6.1-hf484d3e_1002
openssl conda-forge/linux-64::openssl-1.1.1g-h516909a_0
pip conda-forge/noarch::pip-20.1-pyh9f0ad1d_0
python conda-forge/linux-64::python-3.7.6-h8356626_5_cpython
python_abi conda-forge/linux-64::python_abi-3.7-1_cp37m
readline conda-forge/linux-64::readline-8.0-hf8c457e_0
setuptools conda-forge/linux-64::setuptools-46.4.0-py37hc8dfbb8_0
sqlite conda-forge/linux-64::sqlite-3.30.1-hcee41ef_0
tk conda-forge/linux-64::tk-8.6.10-hed695b0_0
wheel conda-forge/noarch::wheel-0.34.2-py_1
xz conda-forge/linux-64::xz-5.2.5-h516909a_0
zlib conda-forge/linux-64::zlib-1.2.11-h516909a_1006
Proceed ([y]/n)? y
Downloading and Extracting Packages
python_abi-3.7 | 4 KB | ########################################################################################################################## | 100%
setuptools-46.4.0 | 633 KB | ########################################################################################################################## | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
# $ conda activate singacpu37
#
# To deactivate an active environment, use
#
# $ conda deactivate
dcsysh@ncrs:/$ source activate singacpu37
(singacpu37) dcsysh@ncrs:/$ conda install -c nusdbsystem -c conda-forge singa-cpu=3.0.0
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.8.2
latest version: 4.8.3
Please update conda by running
$ conda update -n base -c defaults conda
## Package Plan ##
environment location: /home/dcsysh/anaconda3/envs/singacpu37
added / updated specs:
- singa-cpu=3.0.0
The following packages will be downloaded:
package | build
---------------------------|-----------------
_openmp_mutex-4.5 | 1_llvm 5 KB conda-forge
dnnl-1.1 | build 3.6 MB nusdbsystem
future-0.18.2 | py37hc8dfbb8_1 712 KB conda-forge
libblas-3.8.0 | 16_openblas 10 KB conda-forge
libcblas-3.8.0 | 16_openblas 10 KB conda-forge
liblapack-3.8.0 | 16_openblas 10 KB conda-forge
numpy-1.16.5 | py37h95a1406_0 4.3 MB conda-forge
onnx-1.6.0 | py37he1b5a44_0 2.9 MB conda-forge
pillow-7.1.2 | py37h718be6c_0 658 KB conda-forge
protobuf-3.9.2 | py37he1b5a44_1 688 KB conda-forge
singa-3.0.0 | cpu_py37 22.4 MB nusdbsystem
singa-cpu-3.0.0 | py37 4 KB nusdbsystem
wrapt-1.12.1 | py37h8f50634_1 46 KB conda-forge
------------------------------------------------------------
Total: 35.3 MB
The following NEW packages will be INSTALLED:
deprecated conda-forge/noarch::deprecated-1.2.7-py_0
dnnl nusdbsystem/linux-64::dnnl-1.1-build
freetype conda-forge/linux-64::freetype-2.10.2-he06d7ca_0
future conda-forge/linux-64::future-0.18.2-py37hc8dfbb8_1
glog conda-forge/linux-64::glog-0.3.5-hf484d3e_1001
jpeg conda-forge/linux-64::jpeg-9c-h14c3975_1001
libblas conda-forge/linux-64::libblas-3.8.0-16_openblas
libcblas conda-forge/linux-64::libcblas-3.8.0-16_openblas
libgfortran-ng conda-forge/linux-64::libgfortran-ng-7.5.0-hdf63c60_6
liblapack conda-forge/linux-64::liblapack-3.8.0-16_openblas
libopenblas conda-forge/linux-64::libopenblas-0.3.9-h5ec1e0e_0
libpng conda-forge/linux-64::libpng-1.6.37-hed695b0_1
libprotobuf conda-forge/linux-64::libprotobuf-3.9.2-h8b12597_0
libtiff conda-forge/linux-64::libtiff-4.1.0-hc7e4089_6
libwebp-base conda-forge/linux-64::libwebp-base-1.1.0-h516909a_3
llvm-openmp conda-forge/linux-64::llvm-openmp-10.0.0-hc9558a2_0
lz4-c conda-forge/linux-64::lz4-c-1.9.2-he1b5a44_1
numpy conda-forge/linux-64::numpy-1.16.5-py37h95a1406_0
olefile conda-forge/noarch::olefile-0.46-py_0
onnx conda-forge/linux-64::onnx-1.6.0-py37he1b5a44_0
pillow conda-forge/linux-64::pillow-7.1.2-py37h718be6c_0
protobuf conda-forge/linux-64::protobuf-3.9.2-py37he1b5a44_1
singa nusdbsystem/linux-64::singa-3.0.0-cpu_py37
singa-cpu nusdbsystem/linux-64::singa-cpu-3.0.0-py37
six conda-forge/noarch::six-1.14.0-py_1
tqdm conda-forge/noarch::tqdm-4.46.0-pyh9f0ad1d_0
wrapt conda-forge/linux-64::wrapt-1.12.1-py37h8f50634_1
zstd conda-forge/linux-64::zstd-1.4.4-h6597ccf_3
The following packages will be DOWNGRADED:
_openmp_mutex 4.5-0_gnu --> 4.5-1_llvm
Proceed ([y]/n)? y
Downloading and Extracting Packages
libblas-3.8.0 | 10 KB | ########################################################################################################################## | 100%
onnx-1.6.0 | 2.9 MB | ########################################################################################################################## | 100%
singa-3.0.0 | 22.4 MB | ########################################################################################################################## | 100%
dnnl-1.1 | 3.6 MB | ########################################################################################################################## | 100%
_openmp_mutex-4.5 | 5 KB | ########################################################################################################################## | 100%
wrapt-1.12.1 | 46 KB | ########################################################################################################################## | 100%
pillow-7.1.2 | 658 KB | ########################################################################################################################## | 100%
protobuf-3.9.2 | 688 KB | ########################################################################################################################## | 100%
numpy-1.16.5 | 4.3 MB | ########################################################################################################################## | 100%
libcblas-3.8.0 | 10 KB | ########################################################################################################################## | 100%
future-0.18.2 | 712 KB | ########################################################################################################################## | 100%
singa-cpu-3.0.0 | 4 KB | ########################################################################################################################## | 100%
liblapack-3.8.0 | 10 KB | ########################################################################################################################## | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(singacpu37) dcsysh@ncrs:/$ python
Python 3.7.6 | packaged by conda-forge | (default, Mar 23 2020, 23:03:20)
[GCC 7.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy as np
>>> from singa import tensor
>>>
>>> tensor.from_numpy( np.asarray([[1, 0, 0], [0, 1, 0]], dtype=np.float32) )
[[1. 0. 0.]
[0. 1. 0.]]
>>>
from singa.
Shashankwer
commented on August 26, 2024
| Name | Version | Build | Channel |
|---|---|---|---|
| appnope | 0.1.0 | py36h9f0ad1d_1001 | conda-forge |
| attrs | 19.3.0 | py_0 | conda-forge |
| backcall | 0.1.0 | py_0 | conda-forge |
| bleach | 3.1.5 | pyh9f0ad1d_0 | conda-forge |
| ca-certificates | 2020.4.5.1 | hecc5488_0 | conda-forge |
| certifi | 2020.4.5.1 | py36h9f0ad1d_0 | conda-forge |
| dbus | 1.13.6 | h2f22bb5_0 | conda-forge |
| decorator | 4.4.2 | py_0 | conda-forge |
| defusedxml | 0.6.0 | py_0 | conda-forge |
| deprecated | 1.2.7 | py_0 | conda-forge |
| dnnl | 1.1 | build | nusdbsystem |
| entrypoints | 0.3 | py36h9f0ad1d_1001 | conda-forge |
| expat | 2.2.9 | h4a8c4bd_2 | conda-forge |
| freetype | 2.10.2 | h8da9a1a_0 | conda-forge |
| future | 0.18.2 | py36h9f0ad1d_1 | conda-forge |
| gettext | 0.19.8.1 | h46ab8bc_1002 | conda-forge |
| glib | 2.64.2 | h577aef8_1 | conda-forge |
| glog | 0.3.5 | h0a44026_1001 | conda-forge |
| icu | 64.2 | h6de7cb9_1 | conda-forge |
| importlib-metadata | 1.6.0 | py36h9f0ad1d_0 | conda-forge |
| importlib_metadata | 1.6.0 | 0 | conda-forge |
| ipykernel | 5.2.1 | py36h95af2a2_0 | conda-forge |
| ipython | 7.14.0 | py36h9f0ad1d_0 | conda-forge |
| ipython_genutils | 0.2.0 | py_1 | conda-forge |
| ipywidgets | 7.5.1 | py_0 | conda-forge |
| jedi | 0.17.0 | py36h9f0ad1d_0 | conda-forge |
| jinja2 | 2.11.2 | pyh9f0ad1d_0 | conda-forge |
| jpeg | 9c | h1de35cc_1001 | conda-forge |
| jsonschema | 3.2.0 | py36h9f0ad1d_1 | conda-forge |
| jupyter | 1.0.0 | py_2 | conda-forge |
| jupyter_client | 6.1.3 | py_0 | conda-forge |
| jupyter_console | 6.1.0 | py_1 | conda-forge |
| jupyter_core | 4.6.3 | py36h9f0ad1d_1 | conda-forge |
| krb5 | 1.17.1 | h1752a42_0 | conda-forge |
| libblas | 3.8.0 | 16_openblas | conda-forge |
| libcblas | 3.8.0 | 16_openblas | conda-forge |
| libclang | 9.0.1 | default_hf57f61e_0 | conda-forge |
| libcxx | 10.0.0 | h1af66ff_2 | conda-forge |
| libedit | 3.1.20170329 | hcfe32e1_1001 | conda-forge |
| libffi | 3.2.1 | h4a8c4bd_1007 | conda-forge |
| libgfortran | 4.0.0 | 2 | conda-forge |
| libiconv | 1.15 | h0b31af3_1006 | conda-forge |
| liblapack | 3.8.0 | 16_openblas | conda-forge |
| libllvm9 | 9.0.1 | h7475705_1 | conda-forge |
| libopenblas | 0.3.9 | h3d69b6c_0 | conda-forge |
| libpng | 1.6.37 | hbbe82c9_1 | conda-forge |
| libpq | 12.2 | h489d428_1 | conda-forge |
| libprotobuf | 3.10.0 | hd174df1_0 | conda-forge |
| libsodium | 1.0.17 | h01d97ff_0 | conda-forge |
| libtiff | 4.1.0 | h2ae36a8_6 | conda-forge |
| libwebp-base | 1.1.0 | h0b31af3_3 | conda-forge |
| llvm-openmp | 10.0.0 | h28b9765_0 | conda-forge |
| lz4-c | 1.9.2 | h4a8c4bd_1 | conda-forge |
| markupsafe | 1.1.1 | py36h37b9a7d_1 | conda-forge |
| mistune | 0.8.4 | py36h37b9a7d_1001 | conda-forge |
| nbconvert | 5.6.1 | py36h9f0ad1d_1 | conda-forge |
| nbformat | 5.0.6 | py_0 | conda-forge |
| ncurses | 6.1 | h0a44026_1002 | conda-forge |
| notebook | 6.0.3 | py36h9f0ad1d_0 | conda-forge |
| nspr | 4.20 | h0a44026_1000 | conda-forge |
| nss | 3.47 | hc0980d9_0 | conda-forge |
| numpy | 1.16.5 | py36hde6bac1_0 | conda-forge |
| olefile | 0.46 | py_0 | conda-forge |
| onnx | 1.6.0 | py36h4a8c4bd_0 | conda-forge |
| openssl | 1.1.1g | h0b31af3_0 | conda-forge |
| packaging | 20.1 | py_0 | conda-forge |
| pandoc | 2.9.2.1 | 0 | conda-forge |
| pandocfilters | 1.4.2 | py_1 | conda-forge |
| parso | 0.7.0 | pyh9f0ad1d_0 | conda-forge |
| pcre | 8.44 | h4a8c4bd_0 | conda-forge |
| pexpect | 4.8.0 | py36h9f0ad1d_1 | conda-forge |
| pickleshare | 0.7.5 | py36h9f0ad1d_1001 | conda-forge |
| pillow | 7.1.2 | py36h2ae5dfa_0 | conda-forge |
| pip | 20.1 | pyh9f0ad1d_0 | conda-forge |
| prometheus_client | 0.7.1 | py_0 | conda-forge |
| prompt-toolkit | 3.0.5 | py_0 | conda-forge |
| prompt_toolkit | 3.0.5 | 0 | conda-forge |
| protobuf | 3.10.0 | py36h4a8c4bd_0 | conda-forge |
| ptyprocess | 0.6.0 | py_1001 | conda-forge |
| pygments | 2.6.1 | py_0 | conda-forge |
| pyparsing | 2.4.7 | pyh9f0ad1d_0 | conda-forge |
| pyqt | 5.12.3 | py36haa9e2f4_3 | conda-forge |
| pyqt5-sip | 4.19.18 | pypi_0 | pypi |
| pyqtchart | 5.12 | pypi_0 | pypi |
| pyqtwebengine | 5.12.1 | pypi_0 | pypi |
| pyrsistent | 0.16.0 | py36h37b9a7d_0 | conda-forge |
| python | 3.6.10 | h4334963_1011_cpython | conda-forge |
| python-dateutil | 2.8.1 | py_0 | conda-forge |
| python_abi | 3.6 | 1_cp36m | conda-forge |
| pyzmq | 19.0.1 | py36h820b253_0 | conda-forge |
| qt | 5.12.5 | h514805e_3 | conda-forge |
| qtconsole | 4.7.4 | pyh9f0ad1d_0 | conda-forge |
| qtpy | 1.9.0 | py_0 | conda-forge |
| readline | 8.0 | hcfe32e1_0 | conda-forge |
| send2trash | 1.5.0 | py_0 | conda-forge |
| setuptools | 46.4.0 | py36h9f0ad1d_0 | conda-forge |
| singa | 3.0.0 | cpu_py36 | nusdbsystem |
| six | 1.14.0 | py_1 | conda-forge |
| sqlite | 3.30.1 | h93121df_0 | conda-forge |
| terminado | 0.8.3 | py36h9f0ad1d_1 | conda-forge |
| testpath | 0.4.4 | py_0 | conda-forge |
| tk | 8.6.10 | hbbe82c9_0 | conda-forge |
| tornado | 6.0.4 | py36h37b9a7d_1 | conda-forge |
| tqdm | 4.46.0 | pyh9f0ad1d_0 | conda-forge |
| traitlets | 4.3.3 | py36h9f0ad1d_1 | conda-forge |
| wcwidth | 0.1.9 | pyh9f0ad1d_0 | conda-forge |
| webencodings | 0.5.1 | py_1 | conda-forge |
| wheel | 0.34.2 | py_1 | conda-forge |
| widgetsnbextension | 3.5.1 | py36_0 | conda-forge |
| wrapt | 1.12.1 | py36h37b9a7d_1 | conda-forge |
| xz | 5.2.5 | h0b31af3_0 | conda-forge |
| zeromq | 4.3.2 | h6de7cb9_2 | conda-forge |
| zipp | 3.1.0 | py_0 | conda-forge |
| zlib | 1.2.11 | h0b31af3_1006 | conda-forge |
| zstd | 1.4.4 | h4b3e974_3 | conda-forge |
from singa.
Shashankwer
commented on August 26, 2024
Will check the updated version
from singa.
Shashankwer
commented on August 26, 2024
Updating to 3.7, the version seems to working well. Thank you for the assistance.
from singa.
Related Issues (20)
- Switch between CPU and GPU devices for cnn example HOT 4
- Save the downloaded datasets to local directory HOT 2
- Add running scripts for cnn and cifar_distributed_cnn examples HOT 4
- Intermediate information printing HOT 3
- Adding arguments for weight decay and momentum HOT 2
- Increase max epoch for cnn example for better convergence HOT 2
- Update CMakeLists.txt for release 4.0.0 HOT 1
- Check Apache license header for release 4.0.0
- OpenCL Compilation Fails
- Upload Release 4.0.0 Package to SVN HOT 1
- Update the NOTICE file for images HOT 1
- gitignore and gitmodules should be removed from the release tar file HOT 2
- Create a new branch dev-postgresql HOT 2
- Create the SumError New Loss Function HOT 1
- Dynamic Creation of Models HOT 2
- Need to return the gradients from optimizer HOT 4
- Maximum recursion depth exceeded in comparison for string HOT 1
- can sparse all-reduce keep efficiency with large number of gpu workers？
- Python 3.11, Model, ImportError HOT 9
- Update documentation for distributed training HOT 1
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from singa.