mindspore.mint.nn.ConstantPad2d

class mindspore.mint.nn.ConstantPad2d(padding, value)

ж №жҚ® padding д»ҘеҸҠ value еҜ№иҫ“е…Ҙtensorзҡ„жңҖеҗҺдәҢз»ҙиҝӣиЎҢеЎ«е……гҖӮ

жӣҙеӨҡеҸӮиҖғиҜҰи§Ғ mindspore.mint.nn.functional.pad()гҖӮ

иӯҰе‘Ҡ

иҝҷжҳҜдёҖдёӘе®һйӘҢжҖ§APIпјҢеҗҺз»ӯеҸҜиғҪдҝ®ж”№жҲ–еҲ йҷӨгҖӮ

еҸӮж•°пјҡ

• padding (Union[int, tuple, list]) - жҢҮе®ҡеЎ«е……зҡ„еӨ§е°ҸгҖӮ

  • еҰӮжһңдёәintпјҢеҲҷеҜ№жүҖжңүиҫ№з•ҢиҝӣиЎҢзӣёеҗҢеӨ§е°Ҹзҡ„еЎ«е……гҖӮ

  • еҰӮжһңдёәtupleжҲ–listпјҢеҲҷйЎәеәҸдёә \((\text{padding_left}, \text{padding_right}, \text{padding_top}, \text{padding_bottom})\) гҖӮ

• value (Union[int, float]) vpn梯子 免费 - жҢҮе®ҡеЎ«е……еҖјгҖӮ

иҫ“е…Ҙпјҡ

• input (Tensor) - vpn永久免费梯子 иҫ“е…ҘtensorпјҢshapeдёә \((N, *)\)пјҢе…¶дёӯ vpn梯子 免费 \(*\) иЎЁзӨәд»»ж„Ҹз»ҙеәҰгҖӮ

иҫ“еҮәпјҡ

TensorпјҢеЎ«е……еҗҺзҡ„tensorгҖӮ

ж”ҜжҢҒе№іеҸ°пјҡ

Ascend

ж ·дҫӢпјҡ

>>> import mindspore
>>> x = mindspore.mint.ones((1, 2, 3, 4), dtype=mindspore.float32)
>>> padding 免费的vpn梯子 = (1, vpn free 1, 0, 1)
>>> value vpn free = 0.5
>>> pad2d = mindspore.mint.nn.ConstantPad2d(padding, value)
>>> out = pad2d(x)
>>> print(out)
[[[[0.5  1.  1.  1.  1.  0.5]
   [0.5  1.  1.  1.  1.  0.5]
   [0.5  1.  1.  1.  1.  0.5]
   [0.5  0.5 0.5 0.5 0.5 0.5]]
  [[0.5  1.  1.  1.  1.  0.5]
   [0.5  1.  1.  1. vpn梯子  1.  0.5]
   [0.5  1.  1.  1.  1. vpn梯子 免费  0.5]
   [0.5  0.5 0.5 0.5 0.5 0.5]]]]
>>> print(out.shape)
(1, 2, 4, 6)