![]() >>> a = np.ndarray([1,1]).astype(np.half) >>> a array([[0.007812]], dtype=float16) >>> a.dtype dtype('float16') >>> a.dtype == np.half True >>> a.dtype == np.float16 True >>> a.dtype is np.float16 False Checking with `is` leads to inconsistency in checking. Reviewed By: silvas Differential Revision: https://reviews.llvm.org/D139121 |
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.. | ||
mlir | ||
.style.yapf | ||
CMakeLists.txt | ||
requirements.txt |