Solving environment: failed for $ conda env create -f environment.yml

[monajalal]

I think there's a bug in your repo. Running your command directly didn't work.

(base) mona@ard-gpu-01:~/Implicit3DUnderstanding$ conda env create -f environment.yml
Retrieving notices: ...working... done
Collecting package metadata (repodata.json): done
Solving environment: failed

ResolvePackageNotFound: 
  - torchvision==0.3.0=py36_cu9.0.176_1
  - pytorch==1.1.0=py3.6_cuda9.0.176_cudnn7.5.1_0

my system:

(base) mona@ard-gpu-01:~$ uname -a
Linux ard-gpu-01 5.19.0-41-generic #42~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Tue Apr 18 17:40:00 UTC 2 x86_64 x86_64 x86_64 GNU/Linux
(base) mona@ard-gpu-01:~$ lsb_release -a
LSB Version:	core-11.1.0ubuntu4-noarch:security-11.1.0ubuntu4-noarch
Distributor ID:	Ubuntu
Description:	Ubuntu 22.04.2 LTS
Release:	22.04
Codename:	jammy
(base) mona@ard-gpu-01:~$ nvidia-smi
Tue Apr 25 13:47:22 2023       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 525.105.17   Driver Version: 525.105.17   CUDA Version: 12.0     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  NVIDIA GeForce ...  Off  | 00000000:01:00.0  On |                  N/A |
| N/A   50C    P8    20W /  90W |    871MiB / 16384MiB |      8%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|    0   N/A  N/A      2480      G   /usr/lib/xorg/Xorg                361MiB |
|    0   N/A  N/A      2672      G   ...ome-remote-desktop-daemon        3MiB |
|    0   N/A  N/A      2711      G   /usr/bin/gnome-shell               35MiB |
|    0   N/A  N/A      3231      G   ...AAAAAAAAA= --shared-files       27MiB |
|    0   N/A  N/A      4381      G   ...9/usr/lib/firefox/firefox      320MiB |
|    0   N/A  N/A      9348      G   ...hLaVGrkpw/usr/bin/meshlab      118MiB |
+-----------------------------------------------------------------------------+
(base) mona@ard-gpu-01:~$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Thu_Nov_18_09:45:30_PST_2021
Cuda compilation tools, release 11.5, V11.5.119
Build cuda_11.5.r11.5/compiler.30672275_0

(base) mona@ard-gpu-01:~$ conda --version
conda 23.3.1
(base) mona@ard-gpu-01:~$ python --version
Python 3.9.13
(base) mona@ard-gpu-01:~$ python
Python 3.9.13 (main, Aug 25 2022, 23:26:10) 
[GCC 11.2.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.

[yuyingyeh]

@monajalal I solved this by changing the following

Implicit3DUnderstanding/environment.yml

Line 74 in 517c0ff

- pytorch=1.1.0=py3.6_cuda9.0.176_cudnn7.5.1_0

to - pytorch=1.1.0
and

Implicit3DUnderstanding/environment.yml

Line 90 in 517c0ff

- torchvision=0.3.0=py36_cu9.0.176_1

to - torchvision=0.3.0

[HardikJain02]

hey @monajalal , can you help with this error? I have seen you have encountered the same error. #24 (comment)