Not compiled with GPU support

[jiushishuai88]

(base) ai@ai-Precision-Tower-5810:~/detectron2$ python demo/demo.py --config-file configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x.yaml --input input1.jpg input2.jpg --opts MODEL.WEIGHTS detectron2://COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x/137849600/model_final_f10217.pkl
[10/21 17:15:38 detectron2]: Arguments: Namespace(confidence_threshold=0.5, config_file='configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x.yaml', input=['input1.jpg', 'input2.jpg'], opts=['MODEL.WEIGHTS', 'detectron2://COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x/137849600/model_final_f10217.pkl'], output=None, video_input=None, webcam=False)
WARNING [10/21 17:15:38 d2.config.compat]: Config 'configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x.yaml' has no VERSION. Assuming it to be compatible with latest v2.
Traceback (most recent call last):
File "demo/demo.py", line 83, in
predictions, visualized_output = demo.run_on_image(img)
File "/home/ai/detectron2/demo/predictor.py", line 48, in run_on_image
predictions = self.predictor(image)
File "/home/ai/anaconda3/lib/python3.7/site-packages/torch/autograd/grad_mode.py", line 49, in decorate_no_grad
return func(*args, **kwargs)
File "/home/ai/detectron2/detectron2/engine/defaults.py", line 177, in call
predictions = self.model([inputs])[0]
File "/home/ai/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 541, in call
result = self.forward(*input, **kwargs)
File "/home/ai/detectron2/detectron2/modeling/meta_arch/rcnn.py", line 66, in forward
return self.inference(batched_inputs)
File "/home/ai/detectron2/detectron2/modeling/meta_arch/rcnn.py", line 124, in inference
results, _ = self.roi_heads(images, features, proposals, None)
File "/home/ai/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 541, in call
result = self.forward(*input, **kwargs)
File "/home/ai/detectron2/detectron2/modeling/roi_heads/roi_heads.py", line 564, in forward
pred_instances = self._forward_box(features_list, proposals)
File "/home/ai/detectron2/detectron2/modeling/roi_heads/roi_heads.py", line 611, in _forward_box
box_features = self.box_pooler(features, [x.proposal_boxes for x in proposals])
File "/home/ai/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 541, in call
result = self.forward(*input, **kwargs)
File "/home/ai/detectron2/detectron2/modeling/poolers.py", line 195, in forward
output[inds] = pooler(x_level, pooler_fmt_boxes_level)
File "/home/ai/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 541, in call
result = self.forward(*input, **kwargs)
File "/home/ai/detectron2/detectron2/layers/roi_align.py", line 95, in forward
input, rois, self.output_size, self.spatial_scale, self.sampling_ratio, self.aligned
File "/home/ai/detectron2/detectron2/layers/roi_align.py", line 20, in forward
input, roi, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned
RuntimeError: Not compiled with GPU support (ROIAlign_forward at /home/ai/detectron2/detectron2/layers/csrc/ROIAlign/ROIAlign.h:73)
frame #0: c10::Error::Error(c10::SourceLocation, std::string const&) + 0x47 (0x7f66a1003687 in /home/ai/anaconda3/lib/python3.7/site-packages/torch/lib/libc10.so)
frame #1: detectron2::ROIAlign_forward(at::Tensor const&, at::Tensor const&, float, int, int, int, bool) + 0x171 (0x7f6685bee4c1 in /home/ai/detectron2/detectron2/_C.cpython-37m-x86_64-linux-gnu.so)
frame #2: + 0x215fe (0x7f6685bfe5fe in /home/ai/detectron2/detectron2/_C.cpython-37m-x86_64-linux-gnu.so)
frame #3: + 0x1c3e0 (0x7f6685bf93e0 in /home/ai/detectron2/detectron2/_C.cpython-37m-x86_64-linux-gnu.so)

Environment

sys.platform linux
Python 3.7.3 (default, Mar 27 2019, 22:11:17) [GCC 7.3.0]
Numpy 1.16.4
Detectron2 Compiler GCC 7.4
Detectron2 CUDA Compiler not available
DETECTRON2_ENV_MODULE
PyTorch 1.3.0
PyTorch Debug Build False
torchvision 0.4.1a0+d94043a
CUDA available True
GPU 0,1 GeForce GTX 1080 Ti
CUDA_HOME None
Pillow 6.1.0
cv2 3.4.2

---

PyTorch built with:

• GCC 7.3
• Intel(R) Math Kernel Library Version 2019.0.4 Product Build 20190411 for Intel(R) 64 architecture applications
• Intel(R) MKL-DNN v0.20.5 (Git Hash 0125f28c61c1f822fd48570b4c1066f96fcb9b2e)
• OpenMP 201511 (a.k.a. OpenMP 4.5)
• NNPACK is enabled
• CUDA Runtime 10.1
• NVCC architecture flags: -gencode;arch=compute_35,code=sm_35;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_50,code=compute_50
• CuDNN 7.6.3
• Magma 2.5.1
• Build settings: BLAS=MKL, BUILD_NAMEDTENSOR=OFF, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -fopenmp -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -O2 -fPIC -Wno-narrowing -Wall -Wextra -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Wno-stringop-overflow, DISABLE_NUMA=1, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=True, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_STATIC_DISPATCH=OFF,

[ppwwyyxx]

Duplicate of #55