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[Zero-Dim] support input 0D Tensor for maximum,minimum,allclose,sigmoid_focal_loss #49616

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merged 4 commits into from
Jan 10, 2023

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FlyingQianMM
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[Zero-Dim] support input 0D Tensor for some binary api.

paddle.maximum
paddle.minimum
paddle.allclose
paddle.nn.functional.sigmoid_focal_loss

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paddle-bot bot commented Jan 6, 2023

你的PR提交成功,感谢你对开源项目的贡献!
请关注后续CI自动化测试结果,详情请参考Paddle-CI手册
Your PR has been submitted. Thanks for your contribution!
Please wait for the result of CI firstly. See Paddle CI Manual for details.

@FlyingQianMM FlyingQianMM changed the title [Zero-Dim] support input 0D Tensor for maximum,minimum,allclose,sigmo… [Zero-Dim] support input 0D Tensor for maximum,minimum,allclose,sigmoid_focal_loss Jan 6, 2023
label = paddle.to_tensor(
[[1.0, 0.0, 0.0], [0.0, 1.0, 0.0]], dtype='float32'
)
one = paddle.to_tensor([1.0], dtype='float32')
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这个可以删了吧

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已删除,感谢~

one = paddle.to_tensor([1.0], dtype='float32')
fg_num_0 = paddle.full([], 2.0)
fg_num_1 = paddle.full([1], 2.0)
np.testing.assert_array_equal(
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需要测下反向

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已添加反向梯度测试,感谢~

zhwesky2010
zhwesky2010 previously approved these changes Jan 10, 2023
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LGTM

jzhang533
jzhang533 previously approved these changes Jan 10, 2023
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LGTM

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LGTM

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3 participants