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where can i find the mesh result file? #90

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Fone520 opened this issue Nov 30, 2023 · 2 comments
Open

where can i find the mesh result file? #90

Fone520 opened this issue Nov 30, 2023 · 2 comments

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@Fone520
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Fone520 commented Nov 30, 2023

where can i find the mesh result file?or i failed to convert image to mesh?

message:
Global seed set to 42
D:\ProgramData\miniconda3\envs\wonder3d\Lib\site-packages\torch\nn\utils\weight_norm.py:30: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
Using finite difference to compute gradients with eps=progressive
Using 16bit None Automatic Mixed Precision (AMP)
GPU available: True (cuda), used: True
TPU available: False, using: 0 TPU cores
IPU available: False, using: 0 IPUs
HPU available: False, using: 0 HPUs
Trainer(limit_train_batches=1.0) was configured so 100% of the batches per epoch will be used..
OMP: Error #15: Initializing libiomp5md.dll, but found libiomp5md.dll already initialized.
OMP: Hint This means that multiple copies of the OpenMP runtime have been linked into the program. That is dangerous, since it can degrade performance or cause incorrect results. The best thing to do is to ensure that only a single OpenMP runtime is linked into the process, e.g. by avoiding static linking of the OpenMP runtime in any library. As an unsafe, unsupported, undocumented workaround you can set the environment variable KMP_DUPLICATE_LIB_OK=TRUE to allow the program to continue to execute, but that may cause crashes or silently produce incorrect results. For more information, please see http://www.intel.com/software/products/support/.

@xxlong0
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xxlong0 commented Nov 30, 2023

It seems that your windows environment has some problems.

@Fone520
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Fone520 commented Nov 30, 2023

It seems that your windows environment has some problems.

can i use CUDA12.2 and pytorch2.1.0 ?

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