Add the backward support for QR #38824
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jeff41404
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| # a = np.array([[1, 2, 3, 2], [4, 5, 6, 3], [7, 8, 7, 4]]).astype(dtype) | ||
| # a = np.array([[1, 2], [3, 4], [5, 6]]).astype(dtype) | ||
| # a = np.array([[[1, 2], [3, 4], [5, 6]], [[1, 2], [3, 4], [5, 6]]]).astype(dtype) |
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jeff41404
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Jan 10, 2022
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| # dQ = np.array([[1, 1, 1], [1, 1, 1], [1, 1, 1]]).astype(self.dtype) | ||
| # dR = np.array([[1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1]]).astype(self.dtype) | ||
| # dQ = np.array([[1, 1], [1, 1], [1, 1]]).astype(self.dtype) | ||
| # dR = np.array([[1, 1], [1, 1]]).astype(self.dtype) | ||
| # dQ = np.array([[[1, 1], [1, 1], [1, 1]], [[1, 1], [1, 1], [1, 1]]]).astype(self.dtype) | ||
| # dR = np.array([[[1, 1], [1, 1]], [[1, 1], [1, 1]]]).astype(self.dtype) | ||
| # self.check_grad(['X'], ['Q', 'R'], user_defined_grad_outputs=[dQ, dR]) |
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XieYunshen
previously approved these changes
Jan 10, 2022
XieYunshen
approved these changes
Jan 10, 2022
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Describe
The PR adds the backward support for QR decomposition.