Unable to use public kernels

[Karim-53]

Dear reader,

I am unable to install this repo on a win10 machine (using these instructions)
and unable to install it on public kernels: Google Colab and the kernel provided by Kaggle.

Steps to Reproduce

1. Open this jupyter notebook (link) with Google Colaboratory
2. Activate the GPU (Edit -> parameter of the notebook -> ...)
3. Run all cells
   Section "install PyTorch Detection (Scene-Graph-Benchmark.pytorch)" will not work

if the installation succeed the output should be

Installed /content/Scene
Processing dependencies for maskrcnn-benchmark==0.1
Finished processing dependencies for maskrcnn-benchmark==0.1

otherwise you can get:

RuntimeError: Error compiling objects for extension

Environment

PyTorch version: 1.5.0+cu101
Is debug build: No
CUDA used to build PyTorch: 10.1

OS: Ubuntu 18.04.3 LTS
GCC version: (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
CMake version: version 3.12.0

Python version: 3.6
Is CUDA available: Yes
CUDA runtime version: 10.1.243
GPU models and configuration: GPU 0: Tesla P100-PCIE-16GB
Nvidia driver version: 418.67
cuDNN version: /usr/lib/x86_64-linux-gnu/libcudnn.so.7.6.5

Versions of relevant libraries:
[pip3] numpy==1.18.4
[pip3] torch==1.5.0+cu101
[pip3] torchsummary==1.5.1
[pip3] torchtext==0.3.1
[pip3] torchvision==0.6.0+cu101
[conda] Could not collect

Additional context

Surprisingly, the installation is successful if the used kernel is not equipped with a GPU, but it is useless.
If we compare pip freeze on a CPU kernel with a GPU kernel the difference is:
only in GPU: cupy-cuda101==6.5.0
only in CPU: -e git+https://github.com/KaihuaTang/Scene-Graph-Benchmark.pytorch.git@db02790a60bb9b9f7c270352820968b2f2089469#egg=maskrcnn_benchmark because the installation was successful
Therefore, I strongly think that this cannot be solved by installing another version of a certain package, but who knows...

Thank you for your help. Once this would be fixed I hope we can provide a public Jupiter notebook that anyone can run directly and use online.

[KaihuaTang]

Maybe the original maskrcnn-benchmark guidance can help. It contains the win10 environment installation.
https://github.com/facebookresearch/maskrcnn-benchmark/blob/master/INSTALL.md

[Karim-53]

Thanks for the hint ! This solved the problem for Google colab

Execute this python code after cloning this repo and before installing it.

def line_prepender(filename, line):
    with open(filename, 'r+') as f:
        content = f.read()
        f.seek(0, 0)
        f.write(line.rstrip('\r\n') + '\n' + content)

file1 = r"/content/Scene-Graph-Benchmark/maskrcnn_benchmark/csrc/cuda/deform_conv_cuda.cu"
file2 = r"/content/Scene-Graph-Benchmark/maskrcnn_benchmark/csrc/cuda/deform_pool_cuda.cu"

to_add = """#ifndef AT_CHECK
#define AT_CHECK TORCH_CHECK 
#endif"""

line_prepender(filename=file1, line=to_add)
line_prepender(filename=file2, line=to_add)

I will soon suggest a Pull request to fix this