image = rgb.numpy()[0].transpose((1, 2, 0))报错

[CaoJupeng]

RuntimeError: Wrong inputs arguments, Please refer to examples(help(jt.numpy)).

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

The function declarations are: ArrayArgs fetch_sync() 请问这是什么意思

[Jittor]

请问您用的计图版本是多少？

---原始邮件--- 发件人: @.> 发送时间: 2022年4月24日(周日) 下午3:47 收件人: @.>; 抄送: @.***>; 主题: [Jittor/jrender] image = rgb.numpy()[0].transpose((1, 2, 0))报错 (Issue #8)

RuntimeError: Wrong inputs arguments, Please refer to examples(help(jt.numpy)).

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

The function declarations are: ArrayArgs fetch_sync() 请问这是什么意思

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you are subscribed to this thread.Message ID: @.***>

[CaoJupeng]

刚才看了计图论坛，再一次更新，用python -m pip install -U jittor更新之后 居然又出了新的错误

------------------ 原始邮件 ------------------ 发件人: "Jittor/jrender" @.>; 发送时间: 2022年4月24日(星期天) 下午3:48 @.>; @.**@.>; 主题: Re: [Jittor/jrender] image = rgb.numpy()[0].transpose((1, 2, 0))报错 (Issue #8)

请问您用的计图版本是多少？

---原始邮件--- 发件人: @.> 发送时间: 2022年4月24日(周日) 下午3:47 收件人: @.>; 抄送: @.***>; 主题: [Jittor/jrender] image = rgb.numpy()[0].transpose((1, 2, 0))报错 (Issue #8)

RuntimeError: Wrong inputs arguments, Please refer to examples(help(jt.numpy)).

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

The function declarations are: ArrayArgs fetch_sync() 请问这是什么意思

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you are subscribed to this thread.Message ID: @.> — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.>

[CaoJupeng]

这是在做jrender中demo中都会运行处的错误

[Jittor]

请问是什么错误呢，我们都测试过，在我们的环境上没有问题的，而且已经有不少同学可以运行了，您可以发一下错误信息我们帮您看看吗

---原始邮件--- 发件人: @.> 发送时间: 2022年4月24日(周日) 下午3:55 收件人: @.>; 抄送: @.**@.>; 主题: Re: [Jittor/jrender] image = rgb.numpy()[0].transpose((1, 2, 0))报错 (Issue #8)

这是在做jrender中demo中都会运行处的错误

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: @.***>

[CaoJupeng]

拜托了，谢谢

------------------ 原始邮件 ------------------ 发件人: @.>; 发送时间: 2022年4月24日(星期天) 下午3:57 收件人: @.>; 抄送: @.>; @.>; 主题: Re: [Jittor/jrender] image = rgb.numpy()[0].transpose((1, 2, 0))报错 (Issue #8)

请问是什么错误呢，我们都测试过，在我们的环境上没有问题的，而且已经有不少同学可以运行了，您可以发一下错误信息我们帮您看看吗

---原始邮件--- 发件人: @.> 发送时间: 2022年4月24日(周日) 下午3:55 收件人: @.>; 抄送: @.**@.>; 主题: Re: [Jittor/jrender] image = rgb.numpy()[0].transpose((1, 2, 0))报错 (Issue #8)

这是在做jrender中demo中都会运行处的错误

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: @.> — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.>

[CaoJupeng]

 0%|          | 0/90 [00:00<?, ?it/s]
Drawing rotation:   0%|          | 0/90 [00:00<?, ?it/s]
Traceback (most recent call last):

  File "D:\semester\insemester_plan\4sophomore\学习资料\B样条神经网络生成曲面\可微渲染\基础教程jittor\jrender-main\demo1-render.py", line 115, in <module>
    main()

  File "D:\semester\insemester_plan\4sophomore\学习资料\B样条神经网络生成曲面\可微渲染\基础教程jittor\jrender-main\demo1-render.py", line 65, in main
    image = rgb.numpy()[0].transpose((1, 2, 0))

RuntimeError: Wrong inputs arguments, Please refer to examples(help(jt.numpy)).

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

The function declarations are:
 ArrayArgs fetch_sync()

Failed reason:[f 0424 15:45:55.716000 76 op.cc:151] Check failed: flags.get(NodeFlags::_cpu)  Something wrong... Could you please report this issue?
 Op code doesn't have cpu version
--------------
# 思路：
# 从目录data中的obj读取得到mesh--
# 通过renderer将mesh渲染得到纹理obj
# 保存几个文件-做关闭
import jittor as jt
import jrender as jr
jt.flags.use_cuda = 0
# jt.flags.use_cuda((int)1)
# jittor_core.flags.use_cuda(1)
import os
import tqdm
import numpy as np
import imageio
import argparse

current_dir = os.path.dirname(os.path.realpath(__file__))
data_dir = os.path.join(current_dir, 'data')#相当于设定了data—_dird的相对地址

def main():
    parser = argparse.ArgumentParser()
    parser.add_argument('-i', '--filename-input', type=str, 
        default=os.path.join(data_dir, 'obj/spot/spot_triangulated.obj'))
    parser.add_argument('-o', '--output-dir', type=str, 
        default=os.path.join(data_dir, 'results/output_render'))#
    args = parser.parse_args()

    # other settings
    camera_distance = 2.732
    elevation = 30
    azimuth = 0

    # load from Wavefront .obj file
    mesh = jr.Mesh.from_obj(args.filename_input, load_texture=True, texture_res=5, texture_type='surface', dr_type='softras')#SoftRas 是目前主流三角网格可微渲染器之一。
    # print("mesh:")
    # print(mesh)
    # print("batchsize:")
    # print(mesh.batch_size)

    # create renderer with SoftRas
    renderer = jr.Renderer(dr_type='softras')
    # print(renderer)
    os.makedirs(args.output_dir, exist_ok=True)
    # print("output_dir")
    # print(args.output_dir)
    # print("data_dir")
    # print(data_dir)

    # draw object from different view

    loop = tqdm.tqdm(list(range(0, 360, 4)))
    writer = imageio.get_writer(os.path.join(args.output_dir, 'rotation.gif'), mode='I')
    imgs = []
    from PIL import Image
    for num, azimuth in enumerate(loop):
   # rest mesh to initial state
       mesh.reset_()
       loop.set_description('Drawing rotation')
       renderer.transform.set_eyes_from_angles(camera_distance, elevation, azimuth)
       rgb = renderer.render_mesh(mesh, mode='rgb')
       image = rgb.numpy()[0].transpose((1, 2, 0))
       # image = rgb.numpy()[0]
       # writer.append_data((255*image).astype(np.uint8))
    writer.close()

    # # draw object from different view
    # loop = tqdm.tqdm(list(range(0, 360, 4)))
    # writer = imageio.get_writer(os.path.join(args.output_dir, 'rotation.gif'), mode='I')#输出等价于写操作#这种文件输出的使用留点印象
    # imgs = []
    # # from PIL import Image
    # for num, azimuth in enumerate(loop):
    #     # rest mesh to initial state
    #     mesh.reset_()
    #     loop.set_description('Drawing rotation')
    #     renderer.transform.set_eyes_from_angles(camera_distance, elevation, azimuth)
    #     rgb = renderer.render_mesh(mesh, mode='rgb')
    #     # print("datatype：")
    #     print(rgb.dtype)
    #     # print(rgb,rgb.shape)
    #     # rgb.numpy()[0].transpose(1,2,0)
    #     # print(rgb)
    #     # rgb = renderer.render_mesh(mesh, mode='silhouettes') # or mode = 'rgb'
    #     # print(rgb)
    #     # image = rgb.numpy()[0].transpose((1, 2, 0))
    #     # writer.append_data((255*image).astype(np.uint8))
    # writer.close()

    # draw object from different sigma and gamma
    loop = tqdm.tqdm(list(np.arange(-4, -2, 0.2)))
    renderer.transform.set_eyes_from_angles(camera_distance, elevation, 45)
    writer = imageio.get_writer(os.path.join(args.output_dir, 'bluring.gif'), mode='I')
    for num, gamma_pow in enumerate(loop):
        # rest mesh to initial state
        mesh.reset_()
        renderer.set_gamma(10**gamma_pow)
        renderer.set_sigma(10**(gamma_pow - 1))
        loop.set_description('Drawing blurring')
        images = renderer.render_mesh(mesh, mode='rgb')
        # print(images)
        # print(images.numpy().size)
        # image = images.numpy()[0].transpose((1, 2, 0))  # [image_size, image_size, RGB]
        # writer.append_data((255*image).astype(np.uint8))
    writer.close()

    # # save to textured obj
    # mesh.reset_()
    # mesh.save_obj(os.path.join(args.output_dir, 'saved_spot.obj'))

if __name__ == '__main__':
    main()

[CaoJupeng]

windowspip直接下载的，现在照论坛更新 为jittor1.3.3.10，测试通过了安装教程里的数据，但是运行渲染的demo，出现了更多问题，显示缺少模块？

File "D:\可微渲染\基础教程jittor\jrender-main\demo1-render.py", line 115, in main()

File "D:\可微渲染\基础教程jittor\jrender-main\demo1-render.py", line 64, in main rgb = renderer.render_mesh(mesh, mode='rgb')

File "D:\可微渲染\基础教程jittor\jrender-main\jrender\renderer\renderer.py", line 64, in render_mesh mesh = self.lighting(mesh, self.transform.eyes)

File "D:\anaconda\lib\site-packages\jittor__init.py", line 864, in call__ return self.execute(*args, **kw)

File "D:\可微渲染\基础教程jittor\jrender-main\jrender\renderer\lighting\lighting.py", line 108, in execute [diffuseLight, specularLight] = directional(diffuseLight, specularLight, mesh.surface_normals, (jt.sum(mesh.face_vertices, dim=2) / 3.0), eyes, mesh.with_specular, mesh.metallic_textures, mesh.roughness_textures)

File "D:\anaconda\lib\site-packages\jittor__init.py", line 864, in call__ return self.execute(*args, **kw)

File "D:\可微渲染\基础教程jittor\jrender-main\jrender\renderer\lighting\lighting.py", line 75, in execute return directional_lighting(diffuseLight, specularLight, normals,

File "D:\可微渲染\基础教程jittor\jrender-main\jrender\renderer\lighting\directional_lighting.py", line 48, in directional_lighting cosine = nn.relu(jt.sum(normals * light_direction, dim=2))

File "D:\anaconda\lib\site-packages\jittor\nn.py", line 177, in relu return jt.ternary_out_hint(cond, x, 0.0)

AttributeError: module 'jittor' has no attribute 'ternary_out_hint'

[CaoJupeng]

运行demo1.render目前的报错是这样的 拜托找找问题

image = rgb.numpy()[0].transpose((1, 2, 0)) RuntimeError: Wrong inputs arguments, Please refer to examples(help(jt.numpy)). Types of your inputs are: self = Var, args = (), The function declarations are: ArrayArgs fetch_sync() Failed reason:[f 0425 23:57:01.686000 20 op.cc:165] Check failed: flags.get(NodeFlags::_cpu) Something wrong... Could you please report this issue? Op code doesn't have cpu version

[Jittor]

收到，谢谢您的反馈，您试试删除cache：rm -rf ~/.cache/jittor，然后更新一下jittor: python3.x -m pip install jittor -U. 另外，demo1 需要有gpu的环境才可以运行，否则会报错Op code doesn't have cpu version

[CaoJupeng]

这个算是gpu环境吗？我没装N卡

Message ID: @.***>

[Jittor]

demo1 目前是需要N卡环境的，其他设备我们正在适配当中

[CaoJupeng]

这是在有N卡的电脑上的结果，还是这一行报错

------------------ 原始邮件 ------------------ 发件人: @.>; 发送时间: 2022年4月26日(星期二) 中午12:45 收件人: @.>; 抄送: @.>; @.>; 主题: Re: [Jittor/jrender] image = rgb.numpy()[0].transpose((1, 2, 0))报错 (Issue #8)

demo1 目前是需要N卡环境的，其他设备我们正在适配当中

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>

[CaoJupeng]

D:\python\jrender_main\jrender-main\data\obj/spot/spot_triangulated.obj

0%| | 0/90 [00:00<?, ?it/s] Drawing rotation: 0%| | 0/90 [00:00<?, ?it/s] Drawing rotation: 0%| | 0/90 [00:39<?, ?it/s] Traceback (most recent call last): File "C:\Users\lenovo\AppData\Local\Programs\Python\Python310\lib\idlelib\run.py", line 578, in runcode exec(code, self.locals) File "D:\python\jrender_main\jrender-main\demo1-render.py", line 69, in main() File "D:\python\jrender_main\jrender-main\demo1-render.py", line 45, in main image = rgb.numpy()[0].transpose((1, 2, 0)) RuntimeError: Wrong inputs arguments, Please refer to examples(help(jt.numpy)).

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

The function declarations are: ArrayArgs fetch_sync()

Failed reason:[f 0426 22:30:28.582000 08 parallel_compiler.cc:329] Error happend during compilation: [Error] source file location:C:\Users\lenovo.cache\jittor\jt1.3.2\cl\py3.10.4\Windows-10-10.x3b\11thGenIntelRCx42\default\cu11.2.67\jit_opkey0_array_T_float32o0opkey1_array_T_float32o0opkey2_array_T_float32o3f8hash_371610aa57c86386_op.cc Compile fused operator(42/54)failed:[Op(0000029D6D82BC20:0:0:1:i0:o1:s0,array->0000029D7E93ED10),Op(0000029D6D82CC70:0:1:1:i0:o1:s0,array->0000029D7E940110),Op(0000029D6D82D840:0:1:1:i0:o1:s0,array->0000029D7E93E630),Op(0000029D6D82C7F0:0:0:1:i0:o1:s0,array->0000029D7E93FE90),Op(0000029D7E93E9F0:0:0:1:i1:o1:s0,broadcast_to->0000029D7E93F710),Op(0000029D7E93F7B0:0:1:1:i1:o1:s0,broadcast_to->0000029D7E93F030),Op(0000029D7E93DB90:0:1:1:i1:o1:s0,broadcast_to->0000029D7E93E1D0),Op(0000029D7E93E270:0:0:1:i1:o1:s0,broadcast_to->0000029D7E93EBD0),Op(0000029D6F39E150:1:0:1:i2:o1:s0,binary.greater->0000029D7E93FCB0),Op(0000029D6D82CB50:1:1:2:i3:o1:s0,ternary->0000029D7E93F2B0),Op(0000029D6F39FB50:1:1:2:i2:o1:s0,binary.subtract->0000029D7E9402F0),Op(0000029D6F39EFD0:1:1:2:i2:o1:s0,binary.pow->0000029D7E93F210),]

Reason: [f 0426 22:30:28.572000 08 log.cc:608] Check failed ret(255) == 0(0) Run cmd failed: "C:\Users\lenovo.cache\jittor\jtcuda\cuda11.2_cudnn8_win\bin\nvcc.exe" "C:\Users\lenovo.cache\jittor\jt1.3.2\cl\py3.10.4\Windows-10-10.x3b\11thGenIntelRCx42\default\cu11.2.67\jit_opkey0_array_T_float32o0opkey1_array_T_float32o0opkey2_array_T_float32o3f8hash_371610aa57c86386_op.cc" -shared -L"c:\users\lenovo\appdata\local\programs\python\python310\libs" -lpython310 -Xcompiler -EHa -Xcompiler -MD -Xcompiler -utf-8 -I"C:\Users\lenovo.cache\jittor\msvc\VC\include" -I"C:\Users\lenovo.cache\jittor\msvc\win10_kits\include\ucrt" -I"C:\Users\lenovo.cache\jittor\msvc\win10_kits\include\shared" -I"C:\Users\lenovo.cache\jittor\msvc\win10_kits\include\um" -DNOMINMAX -L"C:\Users\lenovo.cache\jittor\msvc\VC\lib" -L"C:\Users\lenovo.cache\jittor\msvc\win10_kits\lib\um\x64" -L"C:\Users\lenovo.cache\jittor\msvc\win10_kits\lib\ucrt\x64" -I"c:\users\lenovo\appdata\local\programs\python\python310\lib\site-packages\jittor\src" -I"c:\users\lenovo\appdata\local\programs\python\python310\include" -DHAS_CUDA -DIS_CUDA -I"C:\Users\lenovo.cache\jittor\jtcuda\cuda11.2_cudnn8_win\include" -I"c:\users\lenovo\appdata\local\programs\python\python310\lib\site-packages\jittor\extern\cuda\inc" -lcudart -L"C:\Users\lenovo.cache\jittor\jtcuda\cuda11.2_cudnn8_win\lib\x64" -L"C:\Users\lenovo.cache\jittor\jtcuda\cuda11.2_cudnn8_win\bin" -I"C:\Users\lenovo.cache\jittor\jt1.3.2\cl\py3.10.4\Windows-10-10.x3b\11thGenIntelRCx42\default\cu11.2.67" -L"C:\Users\lenovo.cache\jittor\jt1.3.2\cl\py3.10.4\Windows-10-10.x3b\11thGenIntelRCx42\default\cu11.2.67" -L"C:\Users\lenovo.cache\jittor\jt1.3.2\cl\py3.10.4\Windows-10-10.x3b\11thGenIntelRCx42\default" -l"jit_utils_core.cp310-win_amd64" -l"jittor_core.cp310-winamd64" -x cu --cudart=shared -ccbin="C:\Users\lenovo.cache\jittor\msvc\VC____\\bin\cl.exe" --use_fast_math -w -I"c:\users\lenovo\appdata\local\programs\python\python310\lib\site-packages\jittor\extern/cuda/inc" -arch=compute_61 -code=sm_61 -o "C:\Users\lenovo.cache\jittor\jt1.3.2\cl\py3.10.4\Windows-10-10.x3b\11thGenIntelRCx42\default\cu11.2.67\jit_opkey0_array_T_float32o0opkey1_array_T_float32o0opkey2_array_T_float32o3f8hash_371610aa57c86386_op.dll" -Xlinker -EXPORT:"?jit_run@FusedOp@jittor@@QEAAXXZ"

换n卡之后的结果

[CaoJupeng]

是没有设置c++编译器的原因吗，我用pip在windows上装的

[Jittor]

谢谢您的反馈，您方便加一下开发者交流群吗，我们可以远程帮您看看，群号 761222083

---原始邮件--- 发件人: @.> 发送时间: 2022年4月26日(周二) 晚上10:38 收件人: @.>; 抄送: @.**@.>; 主题: Re: [Jittor/jrender] image = rgb.numpy()[0].transpose((1, 2, 0))报错 (Issue #8)

D:\python\jrender_main\jrender-main\data\obj/spot/spot_triangulated.obj

0%| | 0/90 [00:00<?, ?it/s] Drawing rotation: 0%| | 0/90 [00:00<?, ?it/s] Drawing rotation: 0%| | 0/90 [00:39<?, ?it/s] Traceback (most recent call last): File "C:\Users\lenovo\AppData\Local\Programs\Python\Python310\lib\idlelib\run.py", line 578, in runcode exec(code, self.locals) File "D:\python\jrender_main\jrender-main\demo1-render.py", line 69, in main() File "D:\python\jrender_main\jrender-main\demo1-render.py", line 45, in main image = rgb.numpy()[0].transpose((1, 2, 0)) RuntimeError: Wrong inputs arguments, Please refer to examples(help(jt.numpy)).

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

The function declarations are: ArrayArgs fetch_sync()

Failed reason:[f 0426 22:30:28.582000 08 parallel_compiler.cc:329] Error happend during compilation: [Error] source file location:C:\Users\lenovo.cache\jittor\jt1.3.2\cl\py3.10.4\Windows-10-10.x3b\11thGenIntelRCx42\default\cu11.2.67\jit_opkey0_array_T_float32o0opkey1_array_T_float32o0opkey2_array_T_float32o3f8hash_371610aa57c86386_op.cc Compile fused operator(42/54)failed:[Op(0000029D6D82BC20:0:0:1:i0:o1:s0,array->0000029D7E93ED10),Op(0000029D6D82CC70:0:1:1:i0:o1:s0,array->0000029D7E940110),Op(0000029D6D82D840:0:1:1:i0:o1:s0,array->0000029D7E93E630),Op(0000029D6D82C7F0:0:0:1:i0:o1:s0,array->0000029D7E93FE90),Op(0000029D7E93E9F0:0:0:1:i1:o1:s0,broadcast_to->0000029D7E93F710),Op(0000029D7E93F7B0:0:1:1:i1:o1:s0,broadcast_to->0000029D7E93F030),Op(0000029D7E93DB90:0:1:1:i1:o1:s0,broadcast_to->0000029D7E93E1D0),Op(0000029D7E93E270:0:0:1:i1:o1:s0,broadcast_to->0000029D7E93EBD0),Op(0000029D6F39E150:1:0:1:i2:o1:s0,binary.greater->0000029D7E93FCB0),Op(0000029D6D82CB50:1:1:2:i3:o1:s0,ternary->0000029D7E93F2B0),Op(0000029D6F39FB50:1:1:2:i2:o1:s0,binary.subtract->0000029D7E9402F0),Op(0000029D6F39EFD0:1:1:2:i2:o1:s0,binary.pow->0000029D7E93F210),]

Reason: [f 0426 22:30:28.572000 08 log.cc:608] Check failed ret(255) == 0(0) Run cmd failed: "C:\Users\lenovo.cache\jittor\jtcuda\cuda11.2_cudnn8_win\bin\nvcc.exe" "C:\Users\lenovo.cache\jittor\jt1.3.2\cl\py3.10.4\Windows-10-10.x3b\11thGenIntelRCx42\default\cu11.2.67\jit_opkey0_array_T_float32o0opkey1_array_T_float32o0opkey2_array_T_float32o3f8hash_371610aa57c86386_op.cc" -shared -L"c:\users\lenovo\appdata\local\programs\python\python310\libs" -lpython310 -Xcompiler -EHa -Xcompiler -MD -Xcompiler -utf-8 -I"C:\Users\lenovo.cache\jittor\msvc\VC\include" -I"C:\Users\lenovo.cache\jittor\msvc\win10_kits\include\ucrt" -I"C:\Users\lenovo.cache\jittor\msvc\win10_kits\include\shared" -I"C:\Users\lenovo.cache\jittor\msvc\win10_kits\include\um" -DNOMINMAX -L"C:\Users\lenovo.cache\jittor\msvc\VC\lib" -L"C:\Users\lenovo.cache\jittor\msvc\win10_kits\lib\um\x64" -L"C:\Users\lenovo.cache\jittor\msvc\win10_kits\lib\ucrt\x64" -I"c:\users\lenovo\appdata\local\programs\python\python310\lib\site-packages\jittor\src" -I"c:\users\lenovo\appdata\local\programs\python\python310\include" -DHAS_CUDA -DIS_CUDA -I"C:\Users\lenovo.cache\jittor\jtcuda\cuda11.2_cudnn8_win\include" -I"c:\users\lenovo\appdata\local\programs\python\python310\lib\site-packages\jittor\extern\cuda\inc" -lcudart -L"C:\Users\lenovo.cache\jittor\jtcuda\cuda11.2_cudnn8_win\lib\x64" -L"C:\Users\lenovo.cache\jittor\jtcuda\cuda11.2_cudnn8_win\bin" -I"C:\Users\lenovo.cache\jittor\jt1.3.2\cl\py3.10.4\Windows-10-10.x3b\11thGenIntelRCx42\default\cu11.2.67" -L"C:\Users\lenovo.cache\jittor\jt1.3.2\cl\py3.10.4\Windows-10-10.x3b\11thGenIntelRCx42\default\cu11.2.67" -L"C:\Users\lenovo.cache\jittor\jt1.3.2\cl\py3.10.4\Windows-10-10.x3b\11thGenIntelRCx42\default" -l"jit_utils_core.cp310-win_amd64" -l"jittor_core.cp310-winamd64" -x cu --cudart=shared -ccbin="C:\Users\lenovo.cache\jittor\msvc\VC____\bin\cl.exe" --use_fast_math -w -I"c:\users\lenovo\appdata\local\programs\python\python310\lib\site-packages\jittor\extern/cuda/inc" -arch=compute_61 -code=sm_61 -o "C:\Users\lenovo.cache\jittor\jt1.3.2\cl\py3.10.4\Windows-10-10.x3b\11thGenIntelRCx42\default\cu11.2.67\jit_opkey0_array_T_float32o0opkey1_array_T_float32o0opkey2_array_T_float32o3f8hash_371610aa57c86386_op.dll" -Xlinker @.***@jittor@@QEAAXXZ"

换n卡之后的结果

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[CaoJupeng]

你好，如果仅仅缺少gpu，有没有替代的方法，谢谢

------------------ 原始邮件 ------------------ 发件人: @.>; 发送时间: 2022年4月26日(星期二) 中午12:15 收件人: @.>; 抄送: @.>; @.>; 主题: Re: [Jittor/jrender] image = rgb.numpy()[0].transpose((1, 2, 0))报错 (Issue #8)

收到，谢谢您的反馈，您试试删除cache：rm -rf ~/.cache/jittor，然后更新一下jittor: python3.x -m pip install jittor -U. 另外，demo1 需要有gpu的环境才可以运行，否则会报错Op code doesn't have cpu version

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