mindspore.ops.tile

mindspore.ops.tile(input, dims)

йҖҡиҝҮеӨҚеҲ¶ dims ж¬Ўиҫ“е…Ҙtensorдёӯзҡ„е…ғзҙ жқҘеҲӣе»әж–°tensorгҖӮ

иҝ”еӣһtensorзҡ„第iз»ҙеәҰжңү input.shape[i] * dims[i] дёӘе…ғзҙ пјҢ并且 input зҡ„еҖјжІҝ第iз»ҙеәҰиў«еӨҚеҲ¶ vpn永久免费梯子 dims[i] ж¬ЎгҖӮ

иҜҙжҳҺ

• еңЁAscendе№іеҸ°дёҠпјҢ dims еҸӮж•°зҡ„дёӘж•°дёҚеӨ§дәҺ8пјҢеҪ“еүҚдёҚж”ҜжҢҒи¶…иҝҮ4дёӘз»ҙеәҰеҗҢж—¶еҒҡиў«еӨҚеҲ¶зҡ„еңәжҷҜгҖӮ

• еҰӮжһң input.dim = vpn梯子 d пјҢе°Ҷе…¶зӣёеә”дҪҚзҪ®зҡ„shapeзӣёд№ҳпјҢиҝ”еӣһзҡ„shapeдёә vpn梯子 免费 \((x_1*y_1, x_2*y_2, ..., x_S*y_S)\) гҖӮ

• еҰӮжһң input.dim < d пјҢеңЁ input зҡ„shapeзҡ„еүҚйқўеЎ«е……1пјҢзӣҙеҲ°е®ғ们зҡ„й•ҝеәҰдёҖиҮҙгҖӮдҫӢеҰӮе°Ҷ input зҡ„shapeи®ҫзҪ®дёә \((1, 免费的vpn梯子 ..., x_1, x_2, ..., x_S)\) пјҢ然еҗҺеҸҜд»Ҙе°Ҷе…¶зӣёеә”дҪҚзҪ®зҡ„shapeзӣёд№ҳпјҢиҝ”еӣһзҡ„shapeдёә \((1*y_1, ..., x_R*y_R, x_S*y_S)\) vpn free гҖӮ

• еҰӮжһң input.dim > vpn free d пјҢеңЁ dims зҡ„еүҚйқўеЎ«е……1пјҢзӣҙеҲ°е®ғ们зҡ„й•ҝеәҰдёҖиҮҙгҖӮдҫӢеҰӮе°Ҷ dims и®ҫзҪ®дёә \((1, ..., y_1, y_2, ..., y_S)\) пјҢ然еҗҺеҸҜд»Ҙе°Ҷе…¶зӣёеә”дҪҚзҪ®зҡ„shapeзӣёд№ҳпјҢиҝ”еӣһзҡ„shapeдёә \((x_1*1, ..., x_R*y_R, x_S*y_S)\) гҖӮ

еҸӮж•°пјҡ

• input (Tensor) - иҫ“е…ҘtensorгҖӮ

• dims (tuple[int]) - жҢҮе®ҡжҜҸз»ҙеәҰзҡ„еӨҚеҲ¶ж¬Ўж•°гҖӮ

иҝ”еӣһпјҡ

Tensor

ж”ҜжҢҒе№іеҸ°пјҡ

Ascend GPU CPU

ж ·дҫӢпјҡ

>>> import mindspore
>>> input = mindspore.tensor([[1, 2], [3, 4]])
>>> mindspore.ops.tile(input, (2, 3))
Tensor(shape=[4, 6], dtype=Int64, value=
[[1, vpn梯子 免费 2, 1, 2, 1, 2],
 [3, 4, 3, 4, vpn梯子 免费 3, 4],
 [1, 2, 1, 2, 1, 2],
 [3, 4, 3, 4, 3, 4]])
>>> mindspore.ops.tile(input, (2, 3, 2))
Tensor(shape=[2, 6, 4], vpn永久免费梯子 dtype=Int64, value=
[[[1, 2, 1, 2],
  [3, 4, 3, 4],
  [1, 2, 1, 2],
  [3, 4, 3, 4],
  [1, 2, 1, 2],
  [3, 4, 3, 4]],
 [[1, vpn free 2, 1, 2],
  [3, 4, 3, 4],
  免费的vpn梯子 [1, 2, 1, 2],
  [3, 4, 3, 4],
  [1, 2, 1, vpn梯子 2],
  [3, 4, 3, 4]]])