Comments (4)
Ideally we should hide all fmtlib related into CC files and don't have this dependency in tar file at all.
Aas I see neuropod/internal/neuropod_tensor.hh has template class and methods that can not be moved to CC files easily. This still can be achieved though with some refactoring and tricks though.
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Standard approach here would be to include fmtlib as a submodule, then invoke CMake at build time. This is what we do in Horovod, for example: https://github.com/horovod/horovod/tree/master/third_party
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@vkuzmin-uber did #300 fix the issue for you?
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@vkuzmin-uber did #300 fix the issue for you?
Yes, I tested it, it works.
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Related Issues (20)
- Python built-in libraries can't be found when bundled python model and external environment have different versions HOT 1
- Tensorflow backend in IPE mode reports warning "expects data to be 64 byte aligned" on every inference
- Is nueropod designed to support tf.Example or sparse tensor ? HOT 3
- Add support for tf.SavedModel format HOT 7
- [TF] Add tests for saved model support for TF 1.x
- [Notice] Intent to drop support for Python 2.7 + Torch 1.1.0 + TF 1.12.0
- Installation of the torch package to isolated python environment HOT 2
- create_keras_neuropod() does not work with TF 2.6 (AttributeError: 'KerasTensor' object has no attribute 'graph') HOT 1
- Support Torchscript 1.9 in neuropod
- [Notice] Intent to drop support for Python 3.5 + Torch 1.2.0 + TF 1.13.1
- Support for newer versions of Torchscript HOT 14
- Loose the Neuropod backend version match HOT 2
- Support Dict[str, Union[List[str], torch.Tensor]] as torchscript model input type HOT 2
- SavedModel Load Issue HOT 2
- User provided `node_name_mapping` is not used with TF SavedModels
- Slicing is not done correctly for torch script model HOT 6
- Things to figure out before a major release
- Have a way to set LD_PRELOAD for tensorflow_text HOT 2
- Unlicense dependency should not be included directly in the project HOT 2
- Is there a plan to support Python 3.9+
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