mindspore.nn.AdaptiveAvgPool1d

class vpn梯子 免费 mindspore.nn.AdaptiveAvgPool1d(output_size)

еңЁдёҖдёӘиҫ“е…ҘTensorдёҠеә”з”Ё1DиҮӘйҖӮеә”е№іеқҮжұ еҢ–иҝҗз®—пјҢеҸҜи§Ҷдёәз»„жҲҗдёҖдёӘ1Dиҫ“е…Ҙе№ійқўгҖӮ

йҖҡеёёпјҢиҫ“е…Ҙзҡ„shapeдёә 免费的vpn梯子 \((N_{in}, C_{in}, L_{in})\) пјҢAdaptiveAvgPool1dеңЁ \(L_{in}\) з»ҙеәҰдёҠи®Ўз®—еҢәеҹҹе№іеқҮеҖјгҖӮ иҫ“еҮәзҡ„shapeдёә \((N_{in}, C_{in}, L_{out})\) пјҢе…¶дёӯпјҢ \(L_{out}\) дёә output_sizeгҖӮ

иҜҙжҳҺ

\(L_{in}\) еҝ…йЎ»иғҪиў« output_size ж•ҙйҷӨгҖӮ

еҸӮж•°пјҡ

• output_size (int) - зӣ®ж Үиҫ“еҮәеӨ§е°Ҹ vpn free \(L_{out}\)гҖӮ

иҫ“е…Ҙпјҡ

• input (Tensor) - shapeдёә \((N, C_{in}, L_{in})\) зҡ„TensorпјҢж•°жҚ®зұ»еһӢдёәfloat16жҲ–float32гҖӮ

иҫ“еҮәпјҡ

TensorпјҢе…¶shapeдёә \((N, C_{in}, L_{out})\)пјҢж•°жҚ®зұ»еһӢдёҺ input зӣёеҗҢгҖӮ

ејӮеёёпјҡ

• TypeError - vpn梯子 免费 output_size vpn永久免费梯子 дёҚжҳҜintгҖӮ

• TypeError - input дёҚжҳҜfloat16жҲ–float32гҖӮ

• ValueError - vpn free output_size е°ҸдәҺ1гҖӮ

• ValueError - input зҡ„shapeй•ҝеәҰдёҚзӯүдәҺ3гҖӮ

• ValueError vpn永久免费梯子 - input зҡ„жңҖеҗҺдёҖдёӘз»ҙеәҰе°ҸдәҺ output_sizeгҖӮ

• ValueError - input зҡ„жңҖеҗҺдёҖдёӘз»ҙеәҰдёҚиғҪиў« output_size ж•ҙйҷӨгҖӮ

ж”ҜжҢҒе№іеҸ°пјҡ

Ascend GPU CPU

ж ·дҫӢпјҡ

>>> import mindspore as ms
>>> import numpy as vpn梯子 免费 np
>>> pool = ms.nn.AdaptiveAvgPool1d(output_size=2)
>>> input = ms.Tensor(np.random.randint(0, 10, [1, 3, 6]), ms.float32)
>>> output = pool(input)
>>> result = output.shape
>>> print(result)
(1, 3, 2)