PRBonn / lidar-bonnetal

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
http://semantic-kitti.org
MIT License
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Problems when train with part information #24

Closed sj-li closed 2 years ago

sj-li commented 5 years ago

Hi, I want to only only use xyz and remission data to train network, so I modify config file as:

backbone: name: "darknet" # ['squeezeseg', 'squeezesegV2', 'darknet'] input_depth: range: False xyz: True remission: True dropout: 0.01 bn_d: 0.01 OS: 32 # output stride (only horizontally) train: True # train backbone? extra: layers: 21

And the program report:

INTERFACE: dataset . arch_cfg config/arch/darknet21.yaml data_cfg config/labels/semantic-kitti.yaml log log_21 pretrained None Opening arch config file config/arch/darknet21.yaml Opening data config file config/labels/semantic-kitti.yaml No pretrained directory found. Copying files to log_21 for further reference. Sequences folder exists! Using sequences from ./sequences parsing seq 00 parsing seq 01 parsing seq 02 parsing seq 03 parsing seq 04 parsing seq 05 parsing seq 06 parsing seq 07 parsing seq 09 parsing seq 10 Using 19130 scans from sequences [0, 1, 2, 3, 4, 5, 6, 7, 9, 10] Sequences folder exists! Using sequences from ./sequences parsing seq 08 Using 4071 scans from sequences [8] /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [828,0,0], thread: [64,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [828,0,0], thread: [65,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [828,0,0], thread: [66,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [828,0,0], thread: [67,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [828,0,0], thread: [68,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [828,0,0], thread: [69,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [828,0,0], thread: [70,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [828,0,0], thread: [71,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [828,0,0], thread: [72,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. 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< sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [828,0,0], thread: [78,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [828,0,0], thread: [79,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [828,0,0], thread: [80,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [828,0,0], thread: [81,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [828,0,0], thread: [82,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [828,0,0], thread: [83,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [828,0,0], thread: [84,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [828,0,0], thread: [85,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [828,0,0], thread: [86,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [828,0,0], thread: [87,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [828,0,0], thread: [88,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [828,0,0], thread: [89,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [828,0,0], thread: [90,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [828,0,0], thread: [91,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. 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index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [820,0,0], thread: [116,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [820,0,0], thread: [117,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [820,0,0], thread: [118,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [820,0,0], thread: [119,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [820,0,0], thread: [120,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [820,0,0], thread: [121,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [820,0,0], thread: [122,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [820,0,0], thread: [123,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [820,0,0], thread: [124,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda 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< sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [849,0,0], thread: [39,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [849,0,0], thread: [40,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [849,0,0], thread: [41,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [849,0,0], thread: [42,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [849,0,0], thread: [43,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [849,0,0], thread: [44,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [849,0,0], thread: [45,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [849,0,0], thread: [46,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [849,0,0], thread: [47,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda 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->auto::operator()(int)->auto: block: [820,0,0], thread: [15,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [820,0,0], thread: [16,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [820,0,0], thread: [17,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [820,0,0], thread: [18,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [820,0,0], thread: [19,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. 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< sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [820,0,0], thread: [25,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [820,0,0], thread: [26,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [820,0,0], thread: [27,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [820,0,0], thread: [28,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [820,0,0], thread: [29,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [820,0,0], thread: [30,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. /pytorch/aten/src/ATen/native/cuda/IndexKernel.cu:53: lambda ->auto::operator()(int)->auto: block: [820,0,0], thread: [31,0,0] Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. THCudaCheck FAIL file=/pytorch/aten/src/THC/THCCachingHostAllocator.cpp line=265 error=59 : device-side assert triggered Loss weights from content: tensor([ 0.0000, 22.9317, 857.5627, 715.1100, 315.9618, 356.2452, 747.6170, 887.2239, 963.8915, 5.0051, 63.6247, 6.9002, 203.8796, 7.4802, 13.6315, 3.7339, 142.1462, 12.6355, 259.3699, 618.9667]) Using DarknetNet21 Backbone Depth of backbone input = 4 Original OS: 32 New OS: 32 Strides: [2, 2, 2, 2, 2] Traceback (most recent call last): File "./train.py", line 114, in trainer = Trainer(ARCH, DATA, FLAGS.dataset, FLAGS.log, FLAGS.pretrained) File "../../tasks/semantic/modules/trainer.py", line 89, in init self.path) File "../../tasks/semantic/modules/segmentator.py", line 36, in init _, stub_skips = self.backbone(stub) File "/home/li/env/py3torch1/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in call result = self.forward(*input, *kwargs) File "../..//backbones/darknet.py", line 167, in forward x, skips, os = self.run_layer(x, self.conv1, skips, os) File "../..//backbones/darknet.py", line 150, in run_layer y = layer(x) File "/home/li/env/py3torch1/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in call result = self.forward(input, **kwargs) File "/home/li/env/py3torch1/lib/python3.6/site-packages/torch/nn/modules/conv.py", line 338, in forward self.padding, self.dilation, self.groups) RuntimeError: cuDNN error: CUDNN_STATUS_NOT_INITIALIZED

Do you know what's the problem? Thanks!

tano297 commented 4 years ago

Hi, This is currently not supported. I have support for this in our internal version of the repo, but I need to test it intensively to verify that it doesn't blow up for people who have been using it like this already. If it was just training code, it would be just changing a couple of lines, but the problem is mostly in the "gather" operation generated in the onnx graph when we want to infer with TensorRT. I'll have support for this in the next release, along with the inference backend in C++ and more tasks. I'll leave this open an assign this to myself

ltriess commented 4 years ago

Hi, is it possible that you provide your current fix? It should work for those not using TensorRT, if I understood correctly.

tano297 commented 4 years ago

Hi,

The quickest hotfix for this is to change this line from:

    stub = torch.zeros((1,
                        self.backbone.get_input_depth(),
                        self.ARCH["dataset"]["sensor"]["img_prop"]["height"],
                        self.ARCH["dataset"]["sensor"]["img_prop"]["width"]))

to

    stub = torch.zeros((1,
                        5,
                        self.ARCH["dataset"]["sensor"]["img_prop"]["height"],
                        self.ARCH["dataset"]["sensor"]["img_prop"]["width"]))
ltriess commented 4 years ago

Great, thank you!