Comments (5)
could you place the result of "conda list" here?
from singa.
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.
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.
Will check the updated version
from singa.
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.