Comments (12)
I also met this error in some environment, it seems that some python dependency makes the compiling failed, I solved it by creating a new conda environment and install dependencies as described in README. Could you try to create a new environment and try again? Thanks!
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Also, you can try the new requirements.txt that I just updated.
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Also, you can try the new requirements.txt that I just updated.
Hi su, I have tried the new requirements.txt. But it does not work as well .
The same error is got.
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@search-opensource-space Could you please check the version of nvcc and gcc by:
nvcc -V
gcc --version
Thanks!
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@search-opensource-space Could you please check the version of nvcc and gcc by:
nvcc -V gcc --version
Thanks!
Using built-in specs.
COLLECT_GCC=gcc
COLLECT_LTO_WRAPPER=/usr/local/libexec/gcc/x86_64-unknown-linux-gnu/4.9.4/lto-wrapper
Target: x86_64-unknown-linux-gnu
Configured with: ../gcc-4.9.4/configure --enable-checking=release --enable-languages=c,c++ --disable-multilib
Thread model: posix
gcc version 4.9.4 (GCC)
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2018 NVIDIA Corporation
Built on Sat_Aug_25_21:08:01_CDT_2018
Cuda compilation tools, release 10.0, V10.0.130
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@search-opensource-space What's the version of your system, python, pytorch and torchvision?
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i have the same error, the version of gcc and nvcc as same as @search-opensource-space ,my system is centos7.5, python 3.6.10, pytorch 1.10, torchvision 0.2.1
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@wangshuwch I only test the code under Ubuntu 16.04.
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I have the same issue with this. Does anyone figure out what is the problem?
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In my case, I resolved this by upgrading gcc 4.9.3 to 5.4.0 :)
And, I don't know why roi_pooling successfully built using "./scripts/init.sh" instead of building in the exact directory.
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@becxer Actually in the './scripts/init.sh', it would enter the directory firstly and then compile the operators.
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@jackroos Yes I know... it sounds weird but doing it manually gives the same error :(
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Related Issues (20)
- The problem of multitasking parallel processing HOT 4
- ./scripts/init.sh HOT 4
- fine-tune HOT 1
- visualize attention for custom images
- CUDA Illegal Memory Access In FastRCNN with ROIAlign
- what is text_visual_embeddings
- How to pretrain on my own data? HOT 2
- An example for image feature HOT 3
- Does the pre-trained BERT come from vl-bert ? HOT 1
- Why the preprocessing method differs from the official method of pytorch
- Is there an option to upload the the val_frcnn features?
- Caffe feature extraction for conceptual-captions - where do I make pycaffe?
- Pretrained VL-BERT model on bert_based_multilingual_uncased needed to apply zero shot learning for German language
- CUDA error: no kernel image is available for execution on the device
- Can I get the object label ?
- Improper RefCOCO evaluation
- How to freeze the Fast RCNN?
- Is the nvcc necessary?
- google drive
- script for downloading GCC images
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