Closed parkhy0106 closed 2 years ago
🐛 Describe the bug
setup.sh or setup.py doesn't build torchvision.edgeailite and yet other extensions which are in ops seem like work well. Is edgeailite deactivated or depressed? Is there any possible way to use it?
Versions
Versions of relevant libraries: [pip3] numpy==1.21.4 [pip3] torch==1.10.0+cu111 [pip3] torchinfo==1.6.3 [pip3] torchvision==0.11.0a0+abaf29d [conda] blas 2.113 mkl conda-forge [conda] blas-devel 3.9.0 13_linux64_mkl conda-forge [conda] cudatoolkit 11.1.1 h6406543_8 conda-forge [conda] libblas 3.9.0 13_linux64_mkl conda-forge [conda] libcblas 3.9.0 13_linux64_mkl conda-forge [conda] liblapack 3.9.0 13_linux64_mkl conda-forge [conda] liblapacke 3.9.0 13_linux64_mkl conda-forge [conda] mkl 2022.0.1 h8d4b97c_803 conda-forge [conda] mkl-devel 2022.0.1 ha770c72_804 conda-forge [conda] mkl-include 2022.0.1 h8d4b97c_803 conda-forge [conda] numpy 1.21.4 py37h31617e3_0 conda-forge [conda] pytorch-mutex 1.0 cuda pytorch [conda] torch 1.10.0+cu111 pypi_0 pypi [conda] torchinfo 1.6.3 pypi_0 pypi [conda] torchvision 0.11.0a0+abaf29d dev_0
please,how to solve this problem?i take the same problem
🐛 Describe the bug
setup.sh or setup.py doesn't build torchvision.edgeailite and yet other extensions which are in ops seem like work well. Is edgeailite deactivated or depressed? Is there any possible way to use it?
Versions
Versions of relevant libraries: [pip3] numpy==1.21.4 [pip3] torch==1.10.0+cu111 [pip3] torchinfo==1.6.3 [pip3] torchvision==0.11.0a0+abaf29d [conda] blas 2.113 mkl conda-forge [conda] blas-devel 3.9.0 13_linux64_mkl conda-forge [conda] cudatoolkit 11.1.1 h6406543_8 conda-forge [conda] libblas 3.9.0 13_linux64_mkl conda-forge [conda] libcblas 3.9.0 13_linux64_mkl conda-forge [conda] liblapack 3.9.0 13_linux64_mkl conda-forge [conda] liblapacke 3.9.0 13_linux64_mkl conda-forge [conda] mkl 2022.0.1 h8d4b97c_803 conda-forge [conda] mkl-devel 2022.0.1 ha770c72_804 conda-forge [conda] mkl-include 2022.0.1 h8d4b97c_803 conda-forge [conda] numpy 1.21.4 py37h31617e3_0 conda-forge [conda] pytorch-mutex 1.0 cuda pytorch [conda] torch 1.10.0+cu111 pypi_0 pypi [conda] torchinfo 1.6.3 pypi_0 pypi [conda] torchvision 0.11.0a0+abaf29d dev_0