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官方代码demo2运行出错，Failed reason:[f 0607 18:22:10.963000 08 parallel_compiler.cc:329] Error happend during compilation #10

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guanyuelee opened this issue Jun 7, 2022 · 3 comments
Open

官方代码demo2运行出错，Failed reason:[f 0607 18:22:10.963000 08 parallel_compiler.cc:329] Error happend during compilation #10

guanyuelee opened this issue Jun 7, 2022 · 3 comments

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@guanyuelee
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您好，在准备Jittor比赛的过程中，运行官方代码 https://github.com/Jittor/jrender 出错，我的环境是windows11，已经按照官网 https://cg.cs.tsinghua.edu.cn/jittor/download/ 的步骤安装好，运行以下测试命令均无出错：

python -m jittor.test.test_core
python -m jittor.test.test_example
python -m jittor.test.test_cudnn_op

我的conda环境如下：

(jittor) PS D:\Dreams\NKU\JGAN\competition\jrender> conda list    
# packages in environment at D:\Softwares\Anaconda3\envs\jittor:
#
# Name                    Version                   Build  Channel
absl-py                   1.1.0                    pypi_0    pypi
astunparse                1.6.3                    pypi_0    pypi
bzip2                     1.0.8                h8ffe710_4    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
ca-certificates           2022.5.18.1          h5b45459_0    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
certifi                   2022.5.18.1      py38haa95532_0    defaults
colorama                  0.4.4                    pypi_0    pypi
configargparse            1.3                      pypi_0    pypi
cycler                    0.11.0                   pypi_0    pypi
grpcio                    1.46.3                   pypi_0    pypi
imageio                   2.9.0                    pypi_0    pypi
imageio-ffmpeg            0.4.3                    pypi_0    pypi
importlib-metadata        4.11.4                   pypi_0    pypi
jittor                    1.3.4.14                 pypi_0    pypi
kiwisolver                1.4.2                    pypi_0    pypi
libffi                    3.4.2                h8ffe710_5    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libzlib                   1.2.12               h8ffe710_0    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
markdown                  3.3.7                    pypi_0    pypi
matplotlib                3.3.0                    pypi_0    pypi
networkx                  2.8.3                    pypi_0    pypi
numpy                     1.22.4                   pypi_0    pypi
opencv-python             4.2.0.34                 pypi_0    pypi
openssl                   3.0.3                h8ffe710_0    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
packaging                 21.3                     pypi_0    pypi
pillow                    9.1.1                    pypi_0    pypi
pip                       22.1.2             pyhd8ed1ab_0    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
protobuf                  3.20.1                   pypi_0    pypi
pyparsing                 3.0.9                    pypi_0    pypi
python                    3.8.13          hcf16a7b_0_cpython    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
python-dateutil           2.8.2                    pypi_0    pypi
pywavelets                1.3.0                    pypi_0    pypi
pywin32                   304                      pypi_0    pypi
scikit-image              0.19.2                   pypi_0    pypi
scipy                     1.8.1                    pypi_0    pypi
setuptools                61.2.0           py38haa95532_0    defaults
six                       1.16.0                   pypi_0    pypi
sqlite                    3.38.5               h8ffe710_0    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
tensorboard               1.14.0                   pypi_0    pypi
tensorboardx              2.5.1                    pypi_0    pypi
tifffile                  2022.5.4                 pypi_0    pypi
tk                        8.6.12               h8ffe710_0    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
tqdm                      4.46.0                   pypi_0    pypi
ucrt                      10.0.20348.0         h57928b3_0    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
vc                        14.2                 hb210afc_6    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
vs2015_runtime            14.29.30037          h902a5da_6    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
werkzeug                  2.1.2                    pypi_0    pypi
wheel                     0.37.1             pyhd8ed1ab_0    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
wincertstore              0.2                   py38_1003    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
xz                        5.2.5                h62dcd97_1    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
zipp                      3.8.0                    pypi_0    pypi

我的cuda版本是：

(jittor) PS D:\Dreams\NKU\JGAN\competition\jrender> python -m jittor_utils.install_cuda
[i 0607 18:29:39.785743 28 install_cuda.py:53] cuda_driver_version: [11, 6, 0]
[i 0607 18:29:39.785743 28 install_cuda.py:121] nvcc is installed at C:\Users\Lucas\.cache\jittor\jtcuda\cuda11.2_cudnn8_win\bin\nvcc.exe

在运行demo2和demo3的过程中都出现了类似的问题，貌似是因为nvcc编译这个文件出错了

fault\cu11.2.67\jit\code__IN_SIZE_6__in0_dim_4__in0_type_float32__in1_dim_6__in1_type_float32__in2_dim_4__in2____hash_4cc0509b6d68fa54_op.cc：

完整的调试输出如下：

(jittor) PS D:\Dreams\NKU\JGAN\competition\jrender> python .\demo2-deform.py
[i 0607 18:11:04.494000 36 compiler.py:953] Jittor(1.3.4.14) src: d:\softwares\anaconda3\envs\jittor\lib\site-packages\jittor
[i 0607 18:11:04.510000 36 compiler.py:954] cl at C:\Users\Lucas\.cache\jittor\msvc\VC\_\_\_\_\_\bin\cl.exe(19.29.30133)
[i 0607 18:11:04.510000 36 compiler.py:955] cache_path: C:\Users\Lucas\.cache\jittor\jt1.3.4\cl\py3.8.13\Windows-10-10.xcb\AMDRyzen55600Gxe6\default
[i 0607 18:11:04.512000 36 install_cuda.py:53] cuda_driver_version: [11, 6, 0]
[i 0607 18:11:04.526000 36 __init__.py:411] Found C:\Users\Lucas\.cache\jittor\jtcuda\cuda11.2_cudnn8_win\bin\nvcc.exe(11.2.67) at C:\Users\Lucas\.cache\jittor\jtcuda\cuda11.2_cudnn8_win\bin\nvcc.exe.
[i 0607 18:11:04.555000 36 compiler.py:1008] cuda key:cu11.2.67
[i 0607 18:11:04.556000 36 __init__.py:227] Total mem: 15.80GB, using 5 procs for compiling.
[i 0607 18:11:05.125000 36 jit_compiler.cc:28] Load cc_path: C:\Users\Lucas\.cache\jittor\msvc\VC\_\_\_\_\_\bin\cl.exe
[i 0607 18:11:05.126000 36 init.cc:62] Found cuda archs: [75,]
[i 0607 18:11:05.226000 36 compile_extern.py:516] mpicc not found, distribution disabled.
[w 0607 18:21:30.347000 08 compile_extern.py:200] CUDA related path found in LD_LIBRARY_PATH or PATH([.....]), This path may cause jittor found the wrong libs, please unset LD_LIBRARY_PATH and remove cuda lib path in Path. 
[i 0607 18:21:31.419000 08 cuda_flags.cc:32] CUDA enabled.
D:\Dreams\NKU\JGAN\competition\jrender\data\obj/sphere/sphere_1352.obj

Loss: 0.8434:   0%|▏                                                                                                                                                                                                    | 1/1000 [00:00<14:23,  1.16it/s][e 0607 18:22:10.962000 08 log.cc:565] cl : Command line warning D9025 : overriding '/EHa' with '/EHs'
code__IN_SIZE_6__in0_dim_4__in0_type_float32__in1_dim_6__in1_type_float32__in2_dim_4__in2____hash_4cc0509b6d68fa54_op.cc
cl : Command line warning D9025 : overriding '/EHa' with '/EHs'
code__IN_SIZE_6__in0_dim_4__in0_type_float32__in1_dim_6__in1_type_float32__in2_dim_4__in2____hash_4cc0509b6d68fa54_op.cc
C:/Users/Lucas/.cache/jittor/jt1.3.4/cl/py3.8.13/Windows-10-10.xcb/AMDRyzen55600Gxe6/default/cu11.2.67/jit/code__IN_SIZE_6__in0_dim_4__in0_type_float32__in1_dim_6__in1_type_float32__in2_dim_4__in2____hash_4cc0509b6d68fa54_op.cc(162): error: function "atomicAdd(double *, double)" has already been defined

1 error detected in the compilation of "C:/Users/Lucas/.cache/jittor/jt1.3.4/cl/py3.8.13/Windows-10-10.xcb/AMDRyzen55600Gxe6/default/cu11.2.67/jit/code__IN_SIZE_6__in0_dim_4__in0_type_float32__in1_dim_6__in1_type_float32__in2_dim_4__in2____hash_4cc0509b6d68fa54_op.cc".
code__IN_SIZE_6__in0_dim_4__in0_type_float32__in1_dim_6__in1_type_float32__in2_dim_4__in2____hash_4cc0509b6d68fa54_op.cc

Loss: 0.8434:   0%|▏                                                                                                                                                                                                    | 1/1000 [00:03<55:58,  3.36s/it]
Traceback (most recent call last):
  File ".\demo2-deform.py", line 112, in <module>
    main()
  File ".\demo2-deform.py", line 97, in main
    loop.set_description('Loss: %.4f' % (loss.item()))
RuntimeError: Wrong inputs arguments, Please refer to examples(help(jt.item)).

Types of your inputs are:
 self   = Var,
 args   = (),

The function declarations are:
 ItemData item()

Failed reason:[f 0607 18:22:10.963000 08 parallel_compiler.cc:329] Error happend during compilation:
 [Error] source file location:C:\Users\Lucas\.cache\jittor\jt1.3.4\cl\py3.8.13\Windows-10-10.xcb\AMDRyzen55600Gxe6\default\cu11.2.67\jit\code__IN_SIZE_6__in0_dim_4__in0_type_float32__in1_dim_6__in1_type_float32__in2_dim_4__in2____hash_4cc0509b6d68fa54_op.cc
Compile operator(11/52)failed:Op(1959:0:2:2:i6:o2:s0,code->...)

Reason: [f 0607 18:22:10.962000 08 log.cc:608] Check failed ret(2) == 0(0) Run cmd failed: "C:\Users\Lucas\.cache\jittor\jtcuda\cuda11.2_cudnn8_win\bin\nvcc.exe" "C:\Users\Lucas\.cache\jittor\jt1.3.4\cl\py3.8.13\Windows-10-10.xcb\AMDRyzen55600Gxe6\de
fault\cu11.2.67\jit\code__IN_SIZE_6__in0_dim_4__in0_type_float32__in1_dim_6__in1_type_float32__in2_dim_4__in2____hash_4cc0509b6d68fa54_op.cc"            -shared  -L"d:\softwares\anaconda3\envs\jittor\libs" -lpython38  -Xcompiler -EHa -Xcompiler -MD -
Xcompiler -utf-8   -I"C:\Users\Lucas\.cache\jittor\msvc\VC\include" -I"C:\Users\Lucas\.cache\jittor\msvc\win10_kits\include\ucrt" -I"C:\Users\Lucas\.cache\jittor\msvc\win10_kits\include\shared" -I"C:\Users\Lucas\.cache\jittor\msvc\win10_kits\include\
um" -DNOMINMAX  -L"C:\Users\Lucas\.cache\jittor\msvc\VC\lib" -L"C:\Users\Lucas\.cache\jittor\msvc\win10_kits\lib\um\x64" -L"C:\Users\Lucas\.cache\jittor\msvc\win10_kits\lib\ucrt\x64"  -I"d:\softwares\anaconda3\envs\jittor\lib\site-packages\jittor\src
" -I"d:\softwares\anaconda3\envs\jittor\include" -DHAS_CUDA -DIS_CUDA -I"C:\Users\Lucas\.cache\jittor\jtcuda\cuda11.2_cudnn8_win\include" -I"d:\softwares\anaconda3\envs\jittor\lib\site-packages\jittor\extern\cuda\inc"  -lcudart -L"C:\Users\Lucas\.cac
he\jittor\jtcuda\cuda11.2_cudnn8_win\lib\x64" -L"C:\Users\Lucas\.cache\jittor\jtcuda\cuda11.2_cudnn8_win\bin"  -I"C:\Users\Lucas\.cache\jittor\jt1.3.4\cl\py3.8.13\Windows-10-10.xcb\AMDRyzen55600Gxe6\default\cu11.2.67" -L"C:\Users\Lucas\.cache\jittor\
jt1.3.4\cl\py3.8.13\Windows-10-10.xcb\AMDRyzen55600Gxe6\default\cu11.2.67" -L"C:\Users\Lucas\.cache\jittor\jt1.3.4\cl\py3.8.13\Windows-10-10.xcb\AMDRyzen55600Gxe6\default"  -l"jit_utils_core.cp38-win_amd64"  -l"jittor_core.cp38-win_amd64"  -x cu --cu
dart=shared -ccbin="C:\Users\Lucas\.cache\jittor\msvc\VC\_\_\_\_\_\bin\cl.exe" --use_fast_math  -w  -I"d:\softwares\anaconda3\envs\jittor\lib\site-packages\jittor\extern/cuda/inc"  -arch=compute_75  -code=sm_75  -o "C:\Users\Lucas\.cache\jittor\jt1.3.4\cl\py3.8.13\Windows-10-10.xcb\AMDRyzen55600Gxe6\default\cu11.2.67\jit\code__IN_SIZE_6__in0_dim_4__in0_type_float32__in1_dim_6__in1_type_float32__in2_dim_4__in2____hash_4cc0509b6d68fa54_op.dll" -Xlinker -EXPORT:"?jit_run@CodeOp@jittor@@QEAAXXZ"

希望能得到您们的解答。

现在jittor的网上bug解决方法还不多，这个感觉是jittor的生态还没很好建立起来。佩服你们的付出，一起推动国产深度框架的发展吧。
@guanyuelee guanyuelee changed the title 官方代码demo2运行出错，Failed reason:[f 0607 18:22:10.963000 08 parallel_compiler.cc:329] Error happend during compilation: [Error] source file location:C:\Users\Lucas\.cache\jittor\jt1.3.4\cl\py3.8.13\Windows-10-10.xcb\AMDRyzen55600Gxe6\default\cu11.2.67\jit\code__IN_SIZE_6__in0_dim_4__in0_type_float32__in1_dim_6__in1_type_float32__in2_dim_4__in2____hash_4cc0509b6d68fa54_op.cc Compile operator(11/52)failed:Op(1959:0:2:2:i6:o2:s0,code->...) 官方代码demo2运行出错，Failed reason:[f 0607 18:22:10.963000 08 parallel_compiler.cc:329] Error happend during compilation Jun 7, 2022
@wang-hd21 wang-hd21 mentioned this issue Apr 25, 2023
Closed
@Dsc17816064954
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我也遇到了同样的问题

loss_item = loss.item()
RuntimeError: Wrong inputs arguments, Please refer to examples(help(jt.item)).

Types of your inputs are:
self = Var,
args = (),

The function declarations are:
ItemData item()

Failed reason:[f 1101 14:15:13.090000 16 parallel_compiler.cc:331] Error happend during compilation:
[Error] source file location:C:\Users\dsc17.cache\jittor\jt1.3.8\cl\py3.8.18\Windows-10-10.xd6\13thGenIntelRCxf6\default\cu11.2.67\jit\cub_arg_reduce__Tx_float32__Toffsets_int32__FUNC_ArgMax__JIT_1__JIT_cuda_1__index_t_int32_hash_185c6e55f8d31f3f_op.cc
Compile operator(16/66)failed:Op(14284:0:2:2:i2:o2:s0,cub_arg_reduce->...)

Reason: [f 1101 14:15:13.087000 16 log.cc:608] Check failed ret(1) == 0(0) Run cmd failed: "C:\Users\dsc17.cache\jittor\jtcuda\cuda11.2_cudnn8_win\bin\nvcc.exe" "C:\Users\dsc17.cache\jittor\jt1.3.8\cl\py3.8.18\Windows-10-10.xd6\13thGenIntelRCxf6\default\cu11.2.67\jit\cub_arg_reduce__Tx_float32__Toffsets_int32__FUNC_ArgMax__JIT_1__JIT_cuda_1__index_t_int32_hash_185c6e55f8d31f3f_op.cc" -shared -L"c:\c\anaconda\envs\pmp\libs" -lpython38 -Xcompiler -EHa -Xcompiler -MD -Xcompiler -utf-8 -I"C:\Users\dsc17.cache\jittor\msvc\VC\include" -I"C:\Users\dsc17.cache\jittor\msvc\win10_kits\include\ucrt" -I"C:\Users\dsc17.cache\jittor\msvc\win10_kits\include\shared" -I"C:\Users\dsc17.cache\jittor\msvc\win10_kits\include\um" -DNOMINMAX -L"C:\Users\dsc17.cache\jittor\msvc\VC\lib" -L"C:\Users\dsc17.cache\jittor\msvc\win10_kits\lib\um\x64" -L"C:\Users\dsc17.cache\jittor\msvc\win10_kits\lib\ucrt\x64" -I"c:\c\anaconda\envs\pmp\lib\site-packages\jittor\src" -I"c:\c\anaconda\envs\pmp\include" -DHAS_CUDA -DIS_CUDA -I"C:\Users\dsc17.cache\jittor\jtcuda\cuda11.2_cudnn8_win\include" -I"c:\c\anaconda\envs\pmp\lib\site-packages\jittor\extern\cuda\inc" -lcudart -L"C:\Users\dsc17.cache\jittor\jtcuda\cuda11.2_cudnn8_win\lib\x64" -L"C:\Users\dsc17.cache\jittor\jtcuda\cuda11.2_cudnn8_win\bin" -I"C:\Users\dsc17.cache\jittor\jt1.3.8\cl\py3.8.18\Windows-10-10.xd6\13thGenIntelRCxf6\default\cu11.2.67" -L"C:\Users\dsc17.cache\jittor\jt1.3.8\cl\py3.8.18\Windows-10-10.xd6\13thGenIntelRCxf6\default\cu11.2.67" -L"C:\Users\dsc17.cache\jittor\jt1.3.8\cl\py3.8.18\Windows-10-10.xd6\13thGenIntelRCxf6\default" -l"jit_utils_core.cp38-win_amd64" -l"jittor_core.cp38-win_amd64" -x cu --cudart=shared -ccbin="C:\Users\dsc17.cache\jittor\msvc\VC_____\bin\cl.exe" --use_fast_math -w -I"c:\c\anaconda\envs\pmp\lib\site-packages\jittor\extern/cuda/inc" -arch=compute_86 -code=sm_86 -I"C:\C\anaconda\envs\PMP\Lib\site-packages\jittor\extern\cuda\cub\inc" -I"C:\C\anaconda\envs\PMP\Lib\site-packages\jittor\extern\cuda\cub\ops" -I"c:\c\anaconda\envs\pmp\lib\site-packages\jittor\extern\cuda\inc" -I"c:\c\anaconda\envs\pmp\lib\site-packages\jittor\extern\cuda\cub\inc" -L"C:\Users\dsc17.cache\jittor\jt1.3.8\cl\py3.8.18\Windows-10-10.xd6\13thGenIntelRCxf6\default\cu11.2.67\custom_ops" -l"gen_ops_cub_argsort_cub_arg_reduce_cub_cumsum_cub____hash7542fc.cp38-win_amd64" -o "C:\Users\dsc17.cache\jittor\jt1.3.8\cl\py3.8.18\Windows-10-10.xd6\13thGenIntelRCxf6\default\cu11.2.67\jit\cub_arg_reduce__Tx_float32__Toffsets_int32__FUNC_ArgMax__JIT_1__JIT_cuda_1__index_t_int32_hash_185c6e55f8d31f3f_op.dll" -Xlinker -EXPORT:"?jit_run@CubArgReduceOp@jittor@@QEAAXXZ"

@Dsc17816064954
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请问您解决了这个问题了吗？ 可以帮帮我吗？

@guanyuelee
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Author

guanyuelee commented Nov 8, 2023 •
edited
Loading

抱歉回复晚了。

时间过去了挺久，我看着这些记录，我记不得具体怎么解决了。但是我可以给您一个可以在 windows 11 下已经解决好的环境：

>>> conda list 

# Name                    Version                   Build  Channel
absl-py                   1.1.0                    pypi_0    pypi
astunparse                1.6.3                    pypi_0    pypi
bzip2                     1.0.8                h8ffe710_4    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
ca-certificates           2022.6.15            h5b45459_0    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
certifi                   2022.6.15        py38haa244fe_0    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
colorama                  0.4.4                    pypi_0    pypi
configargparse            1.3                      pypi_0    pypi
cudatoolkit               11.6.0              hc0ea762_10    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
cupy                      10.5.0           py38hf95616d_0    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
cycler                    0.11.0                   pypi_0    pypi
fastrlock                 0.8                      pypi_0    pypi
grpcio                    1.46.3                   pypi_0    pypi
imageio                   2.9.0                    pypi_0    pypi
imageio-ffmpeg            0.4.3                    pypi_0    pypi
importlib-metadata        4.11.4                   pypi_0    pypi
intel-openmp              2022.1.0          h57928b3_3787    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
jittor                    1.3.4.15                 pypi_0    pypi
kiwisolver                1.4.2                    pypi_0    pypi
libblas                   3.9.0              15_win64_mkl    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libcblas                  3.9.0              15_win64_mkl    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libffi                    3.4.2                h8ffe710_5    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
liblapack                 3.9.0              15_win64_mkl    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libzlib                   1.2.12               h8ffe710_0    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
markdown                  3.3.7                    pypi_0    pypi
matplotlib                3.3.0                    pypi_0    pypi
mkl                       2022.1.0           h6a75c08_874    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
networkx                  2.8.3                    pypi_0    pypi
numpy                     1.22.4                   pypi_0    pypi
opencv-python             4.2.0.34                 pypi_0    pypi
openssl                   3.0.4                h8ffe710_0    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
packaging                 21.3                     pypi_0    pypi
pillow                    9.1.1                    pypi_0    pypi
pip                       22.1.2             pyhd8ed1ab_0    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
protobuf                  3.20.1                   pypi_0    pypi
pyparsing                 3.0.9                    pypi_0    pypi
python                    3.8.13          hcf16a7b_0_cpython    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
python-dateutil           2.8.2                    pypi_0    pypi
python_abi                3.8                      2_cp38    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
pywavelets                1.3.0                    pypi_0    pypi
pywin32                   304                      pypi_0    pypi
scikit-image              0.19.2                   pypi_0    pypi
scipy                     1.8.1                    pypi_0    pypi
setuptools                61.2.0           py38haa95532_0    defaults
six                       1.16.0                   pypi_0    pypi
sqlite                    3.38.5               h8ffe710_0    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
tbb                       2021.5.0             h2d74725_1    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
tensorboard               1.14.0                   pypi_0    pypi
tensorboardx              2.5.1                    pypi_0    pypi
tifffile                  2022.5.4                 pypi_0    pypi
tk                        8.6.12               h8ffe710_0    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
tqdm                      4.46.0                   pypi_0    pypi
ucrt                      10.0.20348.0         h57928b3_0    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
vc                        14.2                 hb210afc_6    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
vs2015_runtime            14.29.30037          h902a5da_6    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
werkzeug                  2.1.2                    pypi_0    pypi
wheel                     0.37.1             pyhd8ed1ab_0    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
wincertstore              0.2                   py38_1003    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
xz                        5.2.5                h62dcd97_1    http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
zipp                      3.8.0                    pypi_0    pypi

总之，我一开始没有按照官方教程安装的，所以会有很多问题。建议您用官方的方法进行安装：jittor download

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@guanyuelee @Dsc17816064954