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Upgrade RedisAI to 1.2.7 #234
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Codecov Report
Additional details and impacted files@@ Coverage Diff @@
## develop #234 +/- ##
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- Coverage 84.31% 84.25% -0.07%
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Files 56 56
Lines 3284 3284
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- Hits 2769 2767 -2
- Misses 515 517 +2
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doc/installation.rst
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* - ONNX_ | ||
- 1.9 | ||
* - ONNX_ Runtime | ||
- 1.11.1 |
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If these updates require RAI v1.2.7, we shouldn't claim that we still support older versions. There is some ambiguity here as to whether we're pushing everything forward or not.
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run_tests.yml still tries to test with older versions of RedisAI
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For now, we are keeping 1.2.3, 1.2.5, 1.2.7. I've updated the table to reflect the various versions we support
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Thanks for addressing this. Some feedback that I think needs to be addressed first. It's also unclear to me whether we're trying to support older versions of RedisAI or not -- some of the code does support older versions, but some seems to only support v1.2.7
- Rename torch_gpu_suffix to torch_cuda_suffix - Update documentation to be more specific about RedisAI and ML library dependencies
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Looks great! Thanks for taking care of this and cleaning up the code to get more production-ready
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Looks fantastic seems to build for me! LGTM!!
With the release of RedisAI 1.2.7, we can bump the supported versions of pyTorch, Tensorflow, and ONNX to more recent versions. Additionally, while updating the dependencies for RedisAI 1.2.7, the installation of the pyTorch backends with GPU support should now be more robust because we pin a more prescriptive version of
torch
andtorchvision
.The new versions were tested on an internal HPE machine with on V100s.