Fidelity kernel for training iterations/training data points #178
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…torch#178) Summary: Pull Request resolved: meta-pytorch#178 We added the fidelity kernels from Section 5.3 in https://arxiv.org/abs/1903.04703. Differential Revision: D15695576 fbshipit-source-id: c2dcbc57c219548cf82b86e88a60c4839cf9c18b
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@@ Coverage Diff @@
## master #178 +/- ##
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- Coverage 100% 99.78% -0.22%
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Files 54 57 +3
Lines 1776 1882 +106
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+ Hits 1776 1878 +102
- Misses 0 4 +4
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…torch#178) Summary: Pull Request resolved: meta-pytorch#178 We added the fidelity kernels from Section 5.3 in https://arxiv.org/abs/1903.04703. Differential Revision: D15695576 fbshipit-source-id: 812903374e4bfc68416fc8ed913476b3cdcede75
…torch#178) Summary: Pull Request resolved: meta-pytorch#178 We added the fidelity kernels from Section 5.3 in https://arxiv.org/abs/1903.04703. Differential Revision: D15695576 fbshipit-source-id: a93bf339955094b95dfb98fb3f370196ff18833b
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Summary: We added the fidelity kernels from Section 5.3 in https://arxiv.org/abs/1903.04703.
Differential Revision: D15695576