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Refactor NumPy-compatible elemwise broadcast operators#16827
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reminisce merged 1 commit intoapache:masterfrom Nov 16, 2019
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Refactor NumPy-compatible elemwise broadcast operators#16827reminisce merged 1 commit intoapache:masterfrom
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* refactor and reduce float types for some functions, also add bitwise_xor (#16827) * Mixed precison binary op backward (use in) for numpy (#16791) * mixed precison binary op backward * reduce unix cpu runtime * Add evaluation_loss to the estimator base class. (#16888) * Add evaluation_loss to the estimator base class. * Update the base estimator class to support the separate evaluation loss. * Add evaluation loss to the base estimator class. * Add unittest for evaluation loss in the test_evaluation function * Update estimator.py * Update estimator.py
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Description
Adding
bitwise_xoron the side.Checklist
Essentials
Please feel free to remove inapplicable items for your PR.
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bitwise_xoroperatorComments
bitwise_xorkernel was contributed by @gyshi.