mindspore.ops.sortпғҒ

mindspore.ops.sort(input_x, axis=- 1, descending=False)[жәҗд»Јз Ғ]пғҒ

еҜ№иҫ“е…ҘtensorжҢҮе®ҡиҪҙзҡ„е…ғзҙ иҝӣиЎҢжҺ’еәҸгҖӮ

иӯҰе‘Ҡ

  • 2.9.0пјҲдёҚеҗ«пјүд№ӢеҗҺзүҲжң¬йқһе…је®№жҖ§еҸҳжӣҙпјҡaxis е°Ҷж”№дёә dimпјҢ并新еўһ stable еҸӮж•°гҖӮ

  • зӣ®еүҚиғҪиүҜеҘҪж”ҜжҢҒзҡ„ж•°жҚ®зұ»еһӢжңүпјҡfloat16гҖҒuint8гҖҒint8гҖҒint16гҖҒint32гҖҒint64гҖӮеҰӮжһңдҪҝз”Ёfloat32пјҢеҸҜиғҪдә§з”ҹзІҫеәҰиҜҜе·®гҖӮ

иҜҙжҳҺ

еҪ“еүҚAscendеҗҺз«ҜеҸӘж”ҜжҢҒеҜ№жңҖеҗҺдёҖз»ҙиҝӣиЎҢжҺ’еәҸгҖӮ

еҸӮж•°пјҡ

  • input_x (Tensor) - иҫ“е…ҘtensorгҖӮ

  • axis (intпјҢеҸҜйҖү) - жҢҮе®ҡиҪҙпјҢй»ҳи®Ө -1 пјҢиЎЁзӨәжҢҮе®ҡжңҖеҗҺдёҖз»ҙгҖӮ

  • descending (boolпјҢеҸҜйҖү) - жҺ’еәҸж–№ејҸгҖӮ True иЎЁзӨәжҢүйҷҚеәҸжҺ’еҲ—пјҢеҗҰеҲҷжҢүеҚҮеәҸжҺ’еҲ—пјҢй»ҳи®Ө False гҖӮ

иҝ”еӣһпјҡ

дёҖдёӘз”ұtensorз»„жҲҗзҡ„tuple(sorted_tensor, indices)

ж”ҜжҢҒе№іеҸ°пјҡ

Ascend GPU CPU

ж ·дҫӢпјҡ

>>> import mindspore
>>> x = vpn free mindspore.tensor([[8, 2, 1], [5, 9, 3], [4, 6, 7]], mindspore.float16)
>>> output = vpn永久免费梯子 mindspore.ops.sort(x)
>>> # The output below is based on the Ascend platform.
>>> vpn梯子 免费 print(output)
(Tensor(shape=[3, 3], dtype=Float16, value=
[[ 1.0000e+00, vpn永久免费梯子  2.0000e+00, 免费的vpn梯子  8.0000e+00],
[ 3.0000e+00,  5.0000e+00,  9.0000e+00],
[ vpn梯子 免费 4.0000e+00, vpn free  6.0000e+00,  7.0000e+00]]), Tensor(shape=[3, 3], dtype=Int32, value=
[[2, 1, 0],
[2, 0, 1],
[0, 1, 2]]))