Torch Jit Save Extra Files at Chris Negrete blog

Torch Jit Save Extra Files. Save an offline version of this module for use in a separate process. The saved module serializes all of the methods, submodules, parameters, and. Torch.jit.load(f, map_location=none, _extra_files=none, _restore_shapes=false) [source] load a scriptmodule or scriptfunction. Maybe you want to ship some documentation or versioning metadata with your saved model to help with deployment,. This is how i’m doing the quantization : The following is an example of how i got things to work: Torch.jit.save(m, f, _extra_files=none) [source] save an offline version of this module for use in a separate process. This could be an example (from documentation): You need to create an extrafilesmap () object to load the saved files.

关于torch.jit.trace在yolov8中出现的问题CSDN博客
from blog.csdn.net

Save an offline version of this module for use in a separate process. Torch.jit.load(f, map_location=none, _extra_files=none, _restore_shapes=false) [source] load a scriptmodule or scriptfunction. This is how i’m doing the quantization : The saved module serializes all of the methods, submodules, parameters, and. The following is an example of how i got things to work: Maybe you want to ship some documentation or versioning metadata with your saved model to help with deployment,. Torch.jit.save(m, f, _extra_files=none) [source] save an offline version of this module for use in a separate process. This could be an example (from documentation): You need to create an extrafilesmap () object to load the saved files.

关于torch.jit.trace在yolov8中出现的问题CSDN博客

Torch Jit Save Extra Files The following is an example of how i got things to work: The following is an example of how i got things to work: You need to create an extrafilesmap () object to load the saved files. The saved module serializes all of the methods, submodules, parameters, and. Save an offline version of this module for use in a separate process. Torch.jit.save(m, f, _extra_files=none) [source] save an offline version of this module for use in a separate process. Torch.jit.load(f, map_location=none, _extra_files=none, _restore_shapes=false) [source] load a scriptmodule or scriptfunction. Maybe you want to ship some documentation or versioning metadata with your saved model to help with deployment,. This could be an example (from documentation): This is how i’m doing the quantization :

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