LpPool#
Domain:
ai.onnxSince version: 22
LpPool consumes an input tensor X and applies Lp pooling across the tensor according to kernel sizes, stride sizes, and pad lengths. Lp pooling consisting of computing the Lp norm on all values of a subset of the input tensor according to the kernel size and downsampling the data into the output tensor Y for further processing. The output spatial shape will be following:
output_spatial_shape[i] = floor((input_spatial_shape[i] + pad_shape[i] - {kernelSpatialShape}) / strides_spatial_shape[i] + 1)
or
output_spatial_shape[i] = ceil((input_spatial_shape[i] + pad_shape[i] - {kernelSpatialShape}) / strides_spatial_shape[i] + 1)
if ceil_mode is enabled pad_shape[i] is the sum of pads along axis i.
auto_pad is a DEPRECATED attribute. If you are using them currently, the output spatial shape will be following:
VALID: output_spatial_shape[i] = ceil((input_spatial_shape[i] - {kernelSpatialShape} + 1) / strides_spatial_shape[i])
SAME_UPPER or SAME_LOWER: output_spatial_shape[i] = ceil(input_spatial_shape[i] / strides_spatial_shape[i])
And pad shape will be following if SAME_UPPER or SAME_LOWER:
pad_shape[i] = (output_spatial_shape[i] - 1) * strides_spatial_shape[i] + {kernelSpatialShape} - input_spatial_shape[i]
Inputs
X (T): Input data tensor from the previous operator; dimensions for image case are (N x C x H x W), where N is the batch size, C is the number of channels, and H and W are the height and the width of the data. For non image case, the dimensions are in the form of (N x C x D1 x D2 … Dn), where N is the batch size.
Outputs
Y (T): Output data tensor from Lp pooling across the input tensor. Dimensions will vary based on various kernel, stride, and pad sizes.
Type Constraints
T: Constrain input and output types to float tensors. Allowed types: tensor(bfloat16), tensor(double), tensor(float), tensor(float16).
Examples#
test_cc_lppool_1d_default
Node:
LpPool(x) -> (y)
Attributes:
kernel_shape = [2]
strides = [1]
p = 3
Inputs:
x: shape=(1, 3, 32), dtype=float32
[[[ 0.1152856 , -1.0727962 , 2.4166238 , ..., -0.39501673, -0.21982606,
0.04771492],
[-2.0760214 , 1.2641329 , 1.9836302 , ..., -2.0846522 , 0.3842888 ,
0.93455374],
[ 0.8258445 , 0.08892886, 0.7590126 , ..., -0.7175359 , 1.6527247 ,
0.6293743 ]]]
Outputs:
y: shape=(1, 3, 31), dtype=float32
[[[1.0732398 , 2.4851346 , 2.4420774 , ..., 1.4063386 , 0.41651782,
0.22057286],
[2.2217875 , 2.1418142 , 2.332031 , ..., 2.4931283 , 2.0889962 ,
0.95572954],
[0.8261881 , 0.75941926, 0.7854236 , ..., 1.3342638 , 1.6966306 ,
1.6826044 ]]]
test_cc_lppool_2d_default
Node:
LpPool(x) -> (y)
Attributes:
kernel_shape = [2, 2]
p = 4
Inputs:
x: shape=(1, 3, 32, 32), dtype=float32
[[[[-0.32242846, 0.49690118, 1.7715849 , ..., 0.88226646, -0.02165128,
0.44548565],
[-2.4667215 , -1.6724457 , 1.6775799 , ..., 1.4226857 , -0.80623585,
-2.0008106 ],
[ 0.5941732 , -0.63442945, 0.4657962 , ..., -0.39400858, -0.5739066 ,
2.1914628 ],
...,
[ 0.34380952, 0.71894825, 0.57237226, ..., 1.8027823 , 0.00864903,
1.926098 ],
[-0.71469444, 1.2205786 , 0.84327966, ..., 0.07414667, 0.5541565 ,
-0.5046319 ],
[-0.9681546 , -0.2960024 , -0.483548 , ..., 1.3993652 , -0.14806657,
0.05611681]],
[[ 0.6155699 , 0.2769566 , -0.64276606, ..., -0.77400255, 0.6328532 ,
0.06019655],
[-0.3675373 , -0.78212386, -0.75120264, ..., -1.7337153 , -0.00672106,
-1.1450883 ],
[ 0.03621121, 0.5075044 , -0.05729615, ..., 1.4678626 , 0.9627532 ,
0.21669844],
...,
[ 2.0942163 , 0.2255462 , -0.41463047, ..., -0.26134315, 2.0106952 ,
1.524969 ],
[ 1.3331995 , 1.7296761 , 0.09010986, ..., 0.47589698, 0.7020305 ,
0.8777509 ],
[ 0.09070358, 0.16428584, -1.808163 , ..., 0.29742154, -0.09639636,
-1.141289 ]],
[[-0.9384671 , -1.0732919 , -0.94612205, ..., -1.2851802 , -1.1030592 ,
-0.7702029 ],
[ 0.5090076 , -1.5781823 , 1.8659909 , ..., -1.1263212 , -0.6307455 ,
1.5569664 ],
[-1.3142018 , 1.3135523 , -0.39398417, ..., -0.0242255 , 1.3567786 ,
-0.77647984],
...,
[ 0.06977072, 0.7212363 , 0.47522122, ..., -0.5865108 , -0.4952629 ,
0.5932392 ],
[-0.9956127 , -0.9530093 , 0.769584 , ..., -0.836077 , -0.5111472 ,
0.7328908 ],
[ 0.83089423, -1.6154213 , 0.03287823, ..., -0.6700378 , 0.07219782,
0.22903992]]]]
Outputs:
y: shape=(1, 3, 31, 31), dtype=float32
[[[[2.588856 , 2.2505724 , 2.208046 , ..., 1.4858785 , 1.5046183 ,
2.0150745 ],
[2.5919464 , 1.9985248 , 1.9284642 , ..., 1.4355433 , 1.4686075 ,
2.5088894 ],
[2.1890543 , 0.697097 , 0.5434714 , ..., 1.4315352 , 1.7342632 ,
2.3043962 ],
...,
[1.3916916 , 1.3995745 , 1.0441728 , ..., 2.2906969 , 2.2216966 ,
1.9928938 ],
[1.2891093 , 1.3268782 , 1.4035882 , ..., 1.9147193 , 1.806794 ,
1.9316423 ],
[1.3545685 , 1.2921319 , 1.3929687 , ..., 1.3999616 , 1.4079362 ,
0.63210225]],
[[0.8579911 , 0.96556544, 1.4496804 , ..., 1.752399 , 1.7581085 ,
1.1709114 ],
[0.82300484, 0.93338037, 0.8045749 , ..., 1.948611 , 1.9525964 ,
1.2674546 ],
[1.0641271 , 0.6818746 , 0.5421605 , ..., 1.5254078 , 1.7598233 ,
1.6319319 ],
...,
[2.4036918 , 1.8788902 , 0.8581919 , ..., 0.4750894 , 2.0126035 ,
2.161019 ],
[2.366192 , 1.7312301 , 1.1595845 , ..., 0.7541533 , 2.0198238 ,
2.180103 ],
[1.8654898 , 2.1051846 , 1.8612624 , ..., 1.3122326 , 0.74137557,
1.2615855 ]],
[[1.7010717 , 2.1266806 , 2.046342 , ..., 1.5576314 , 1.563527 ,
1.6747646 ],
[1.8700856 , 2.149014 , 1.9039882 , ..., 1.4422488 , 1.5069035 ,
1.768733 ],
[1.6107701 , 1.3816934 , 0.9115674 , ..., 1.2764231 , 1.4534732 ,
1.5615975 ],
...,
[0.7318885 , 0.8005952 , 1.0806438 , ..., 1.197651 , 1.2661644 ,
1.268491 ],
[1.2006439 , 1.1061721 , 0.96065706, ..., 1.0531158 , 0.9260411 ,
0.8575462 ],
[1.7365564 , 1.6810348 , 0.93171245, ..., 1.2518939 , 0.933225 ,
0.77435416]]]]
test_cc_lppool_2d_dilations
Node:
LpPool(x) -> (y)
Attributes:
kernel_shape = [2, 2]
strides = [1, 1]
dilations = [2, 2]
p = 2
Inputs:
x: shape=(1, 1, 4, 4), dtype=float32
[[[[ 1., 2., 3., 4.],
[ 5., 6., 7., 8.],
[ 9., 10., 11., 12.],
[13., 14., 15., 16.]]]]
Outputs:
y: shape=(1, 1, 2, 2), dtype=float32
[[[[14.56022 , 16.248077],
[21.633308, 23.49468 ]]]]
test_cc_lppool_2d_pads
Node:
LpPool(x) -> (y)
Attributes:
kernel_shape = [3, 3]
pads = [2, 2, 2, 2]
p = 3
Inputs:
x: shape=(1, 3, 28, 28), dtype=float32
[[[[-0.70653003, -0.03350921, -1.310907 , ..., -0.09079672, 1.1370405 ,
-0.85412127],
[-0.83103395, 1.1180528 , 1.4378695 , ..., 0.6954485 , 1.563285 ,
-1.2523594 ],
[-0.09295885, -0.3699866 , 0.21976762, ..., -0.30324033, 0.3041587 ,
0.5208829 ],
...,
[ 1.6482856 , -0.15594289, -0.5815452 , ..., 1.1252743 , -0.11857683,
-0.7850187 ],
[ 0.23812771, -0.8449751 , 2.5367165 , ..., -1.9134873 , 1.2698305 ,
0.18514927],
[ 1.0550835 , 0.62930006, 1.4338893 , ..., 1.5747979 , -0.10320757,
1.7537416 ]],
[[ 1.2192894 , 0.80644995, -0.22609434, ..., 1.1817061 , 0.6137877 ,
-0.6122783 ],
[ 1.518898 , 2.3194623 , 0.6676968 , ..., 0.01889094, -0.5257216 ,
-0.13197578],
[ 2.1415308 , 0.9085496 , 0.10047567, ..., 0.46149594, 0.3355844 ,
-1.3793089 ],
...,
[-2.2999637 , 0.38034192, -2.5085442 , ..., 0.03632656, -1.5632908 ,
-1.5298891 ],
[-0.27923298, -1.8057213 , 0.46404243, ..., -1.9428912 , 0.3328402 ,
0.5288406 ],
[ 0.8628691 , -0.3531978 , -0.29593503, ..., 1.1793113 , 1.5981321 ,
0.3058766 ]],
[[ 1.0717353 , -1.5791926 , 0.6960835 , ..., -0.27147537, 2.710104 ,
-1.4683306 ],
[-0.5959816 , 0.43209007, -0.32422403, ..., 0.7754665 , -0.9331024 ,
-0.38585323],
[ 0.16777481, -0.30944532, -1.6070402 , ..., 0.30073753, -1.0101012 ,
1.1592704 ],
...,
[-1.2691145 , 1.4887683 , -0.76252353, ..., 0.15214767, -0.6256785 ,
-0.7273495 ],
[ 0.00619106, 1.6954886 , -0.8177315 , ..., 0.82509625, -0.44497934,
-0.80783427],
[ 0.41946003, 0.5173452 , -0.20095554, ..., -0.45736042, 1.8113114 ,
-1.2972025 ]]]]
Outputs:
y: shape=(1, 3, 30, 30), dtype=float32
[[[[0.70653003, 0.7065552 , 1.376036 , ..., 1.279335 , 1.2791826 ,
0.85412127],
[0.9749145 , 1.3246322 , 1.961755 , ..., 2.0177498 , 1.9897637 ,
1.3728275 ],
[0.9751961 , 1.3343351 , 1.9671161 , ..., 2.0337796 , 2.0039303 ,
1.3973815 ],
...,
[1.782774 , 1.8684032 , 2.9621491 , ..., 2.7266107 , 1.9945077 ,
1.8053281 ],
[1.0591114 , 1.2683761 , 2.7725315 , ..., 2.638118 , 1.9529723 ,
1.7544292 ],
[1.0550835 , 1.1249754 , 1.6351426 , ..., 2.1029742 , 1.7538607 ,
1.7537416 ]],
[[1.2192894 , 1.3270773 , 1.3292612 , ..., 1.2827986 , 0.77237433,
0.6122783 ],
[1.7453594 , 2.636172 , 2.6509218 , ..., 1.3120273 , 0.8473359 ,
0.6143154 ],
[2.4737651 , 3.0684693 , 3.0794137 , ..., 1.7121109 , 1.4843237 ,
1.4187872 ],
...,
[2.3410792 , 2.659831 , 3.2626052 , ..., 2.7444246 , 2.269953 ,
1.5546262 ],
[0.8725084 , 1.8754045 , 1.887256 , ..., 2.36746 , 1.6255109 ,
0.56095934],
[0.8628691 , 0.8821607 , 0.8931252 , ..., 1.7915703 , 1.6018585 ,
0.3058766 ]],
[[1.0717353 , 1.7290599 , 1.7658752 , ..., 2.847593 , 2.8467703 ,
1.4683306 ],
[1.1299491 , 1.7610611 , 1.800103 , ..., 2.9014947 , 2.8821092 ,
1.4771591 ],
[1.1311806 , 1.7647457 , 2.1557024 , ..., 3.0015728 , 2.9824517 ,
1.68465 ],
...,
[1.2842082 , 2.1848903 , 2.252484 , ..., 2.1566887 , 2.1082454 ,
1.457289 ],
[0.41946048, 1.7197531 , 1.7801499 , ..., 2.110317 , 2.0599189 ,
1.3942 ],
[0.41946003, 0.59652436, 0.6040314 , ..., 2.0182624 , 2.010403 ,
1.2972025 ]]]]
test_cc_lppool_2d_same_lower
Node:
LpPool(x) -> (y)
Attributes:
kernel_shape = [2, 2]
auto_pad = "SAME_LOWER"
p = 4
Inputs:
x: shape=(1, 3, 32, 32), dtype=float32
[[[[-0.07597765, -1.7920144 , 1.1124847 , ..., -0.68094385, -0.03471532,
2.1448994 ],
[ 0.38276798, 0.8289555 , -1.6366732 , ..., 0.5029205 , -1.1678494 ,
0.11399215],
[ 0.34963924, -0.33500102, -0.22138976, ..., -2.1805458 , 0.82960504,
-0.26827478],
...,
[ 0.8657293 , -0.8358116 , -0.62234265, ..., 0.8413967 , -0.31079063,
-1.3981379 ],
[-0.00878736, -0.3140603 , -0.11838428, ..., 0.7907422 , -0.63546276,
-0.23078935],
[ 0.87765294, -1.4503034 , 1.0621121 , ..., 0.13392471, -0.724105 ,
-0.9532025 ]],
[[ 0.2527645 , 0.9952572 , -0.41144228, ..., -1.5695746 , 0.74797964,
-0.23802923],
[-0.40912744, -1.3426005 , -2.04555 , ..., -0.44347477, -1.1272563 ,
1.9653144 ],
[ 0.59351444, 0.7121066 , 0.35631108, ..., 1.2752509 , -0.59688103,
-0.35611877],
...,
[-0.303541 , 0.603603 , 1.5512018 , ..., -0.31841722, -0.2993166 ,
1.5630407 ],
[-0.54731417, -1.9411411 , -0.44832972, ..., -1.3226423 , 0.3729693 ,
-0.32691437],
[ 0.93099016, 0.15314277, -0.01321892, ..., 2.8524458 , -0.18175022,
0.49928907]],
[[ 0.61137116, 0.72204536, -2.14967 , ..., 0.35696766, -0.95064485,
0.9023568 ],
[ 1.0160304 , -1.2448211 , 0.6610932 , ..., -0.66163474, 0.10467458,
-2.120031 ],
[-0.31600913, -0.7264075 , 0.80447197, ..., 0.8342973 , 1.3424717 ,
0.4348128 ],
...,
[ 1.8630167 , -1.1924895 , -0.33996198, ..., -0.46513382, -1.6672971 ,
0.9220808 ],
[ 1.3899552 , -0.96979856, 2.593574 , ..., 1.7805605 , -0.6827262 ,
-0.3956789 ],
[-0.533435 , -0.6013955 , 1.1900582 , ..., -0.40219167, 0.25032964,
-0.7368208 ]]]]
Outputs:
y: shape=(1, 3, 32, 32), dtype=float32
[[[[0.07597765, 1.7920158 , 1.855141 , ..., 1.8347442 , 0.680945 ,
2.1448994 ],
[0.38291645, 1.8130872 , 2.101181 , ..., 2.0687947 , 1.2093697 ,
2.190552 ],
[0.4368228 , 0.849673 , 1.6637743 , ..., 2.3707163 , 2.2361963 ,
1.236704 ],
...,
[1.0888575 , 1.1847908 , 1.9077853 , ..., 2.7644641 , 2.7644956 ,
1.4052658 ],
[0.8657293 , 1.0145482 , 0.89719194, ..., 0.9940637 , 1.0157615 ,
1.4138983 ],
[0.87765294, 1.4973828 , 1.5455971 , ..., 1.2206923 , 0.95427686,
1.0608156 ]],
[[0.2527645 , 0.99629074, 1.0024462 , ..., 1.5696778 , 1.5894319 ,
0.74989 ],
[0.4232777 , 1.4368691 , 2.159986 , ..., 1.5740355 , 1.6836573 ,
2.0260346 ],
[0.62450445, 1.3830143 , 2.141477 , ..., 1.2835763 , 1.4503715 ,
2.0208077 ],
...,
[0.30384997, 0.61307406, 1.5674919 , ..., 0.8989589 , 0.70518005,
1.5672234 ],
[0.55982363, 1.9489876 , 2.1189885 , ..., 1.3367226 , 1.3266923 ,
1.5655746 ],
[0.95762557, 1.9692862 , 1.9425393 , ..., 2.8848588 , 2.8850675 ,
0.5537225 ]],
[[0.61137116, 0.80093235, 2.156478 , ..., 0.3572671 , 0.955335 ,
1.1029221 ],
[1.0478079 , 1.4033399 , 2.2183821 , ..., 1.3864043 , 1.0061215 ,
2.1578343 ],
[1.0183991 , 1.3920686 , 1.3467333 , ..., 1.4294732 , 1.4074725 ,
2.2013867 ],
...,
[1.8741121 , 2.2539258 , 1.9179584 , ..., 1.9044772 , 1.7610122 ,
1.7915109 ],
[1.9930639 , 2.0791159 , 2.6344426 , ..., 1.9211808 , 2.0610023 ,
1.717058 ],
[1.3974327 , 1.482386 , 2.6358225 , ..., 1.9187855 , 1.7914153 ,
0.85740966]]]]
test_cc_lppool_2d_same_upper
Node:
LpPool(x) -> (y)
Attributes:
kernel_shape = [2, 2]
auto_pad = "SAME_UPPER"
p = 2
Inputs:
x: shape=(1, 3, 32, 32), dtype=float32
[[[[ 0.19525637, 0.57606137, -0.01671401, ..., -0.09974609, -0.19935368,
-0.24302445],
[-0.9397001 , 0.8165851 , 0.28587988, ..., -0.08777804, 0.16116703,
0.47867706],
[ 1.3333142 , -0.12059478, -0.57762176, ..., -0.79250515, 0.7012677 ,
-0.18064696],
...,
[-0.3785196 , 0.6659734 , -0.45713523, ..., -1.5681243 , 0.38240856,
-1.5927312 ],
[ 0.74892545, -0.780536 , 0.7282508 , ..., 1.0463287 , 1.2224853 ,
-0.01033308],
[ 0.63844365, 0.6127084 , 0.9259209 , ..., 1.1190206 , 0.14300485,
0.4605049 ]],
[[ 1.505925 , 0.44910723, -0.6623017 , ..., -1.0053265 , 0.21511917,
-0.5260534 ],
[-0.9450399 , 0.3728882 , 1.0984364 , ..., 0.17353344, 0.549257 ,
-0.31675196],
[ 0.18896438, -0.16494198, -0.36145893, ..., 0.5985825 , -0.08267643,
-1.1932869 ],
...,
[ 0.27033573, 1.2348522 , 1.191002 , ..., -2.2714868 , -0.7955389 ,
-0.3613929 ],
[-0.6103347 , -0.27361646, -0.67239666, ..., 0.7198839 , -1.6078904 ,
0.28863844],
[ 1.2268244 , 0.36383238, 1.5863028 , ..., -1.2530218 , 0.5447386 ,
-0.5245887 ]],
[[-0.22151479, -1.6185306 , 1.1812379 , ..., 0.18166476, 0.6014627 ,
-1.2531893 ],
[ 0.35920468, -1.3177688 , -0.8514939 , ..., 0.16279423, -0.87574714,
1.5407785 ],
[ 0.9463984 , 0.82044226, 1.5292633 , ..., -0.9366152 , 1.3783956 ,
-0.9199413 ],
...,
[-1.0807629 , -0.16543871, 1.7240936 , ..., -0.7707166 , -1.0007337 ,
0.00468801],
[-0.03035032, -0.15501082, 1.3456166 , ..., 0.15143874, -1.5960947 ,
1.9588037 ],
[-1.9472541 , -1.3066663 , -1.3609927 , ..., -0.47754493, -0.7415763 ,
-1.8616838 ]]]]
Outputs:
y: shape=(1, 3, 32, 32), dtype=float32
[[[[1.3855754 , 1.0395502 , 2.0664365 , ..., 0.2887403 , 0.59490275,
0.53683573],
[1.8281459 , 1.0472481 , 1.2006865 , ..., 1.0740207 , 0.8829022 ,
0.5116298 ],
[1.6767185 , 3.123356 , 3.1694908 , ..., 1.6704203 , 1.5461375 ,
0.484391 ],
...,
[1.3254899 , 1.3386855 , 1.4754783 , ..., 2.2791498 , 2.0439193 ,
1.5927647 ],
[1.3975506 , 1.540236 , 1.4879433 , ..., 1.9651798 , 1.3141888 ,
0.4606208 ],
[0.88488525, 1.1102887 , 1.2484504 , ..., 1.1281213 , 0.48219824,
0.4605049 ]],
[[1.8712707 , 1.409237 , 1.7323235 , ..., 1.1784544 , 0.8514831 ,
0.6140554 ],
[1.0464509 , 1.2261592 , 1.6269635 , ..., 0.83482546, 1.3538035 ,
1.2346114 ],
[1.1456194 , 1.1839944 , 1.2550073 , ..., 1.1363908 , 1.439191 ,
1.1963438 ],
...,
[1.4301454 , 1.8628819 , 1.5717304 , ..., 2.9826295 , 1.8525956 ,
0.4625116 ],
[1.4438998 , 1.7820532 , 2.0383487 , ..., 2.2294278 , 1.8001547 ,
0.5987533 ],
[1.2796375 , 1.6274921 , 1.7740622 , ..., 1.3663104 , 0.75626284,
0.5245887 ]],
[[2.1293786 , 2.544901 , 1.7123407 , ..., 1.0900433 , 2.2523704 ,
1.986072 ],
[1.8531967 , 2.3395145 , 2.1816673 , ..., 1.8896183 , 2.426355 ,
1.7945168 ],
[2.0761547 , 2.4090345 , 3.5799158 , ..., 1.826073 , 2.330238 ,
1.8517641 ],
...,
[1.1047026 , 2.1987681 , 2.3769426 , ..., 2.0410595 , 2.717705 ,
1.9588093 ],
[2.3503456 , 2.3225827 , 2.6711454 , ..., 1.8298734 , 3.224939 ,
2.7023654 ],
[2.345032 , 1.8867109 , 2.2320726 , ..., 0.88203436, 2.0039465 ,
1.8616838 ]]]]
test_cc_lppool_2d_strides
Node:
LpPool(x) -> (y)
Attributes:
kernel_shape = [5, 5]
strides = [3, 3]
p = 2
Inputs:
x: shape=(1, 3, 32, 32), dtype=float32
[[[[-1.0226264e+00, -3.9424592e-01, 6.7293972e-01, ..., 1.1032071e+00,
-2.2113059e+00, 1.8602846e+00],
[ 1.8036193e-01, 1.0779877e+00, 8.0717778e-01, ..., 5.0754547e-01,
3.2760185e-01, 4.9406669e-01],
[ 1.0875163e-01, 8.7543815e-01, 6.0662353e-01, ..., -1.6925216e-01,
-1.4228725e-01, 1.4048892e-01],
...,
[ 1.2596720e+00, 5.1687777e-01, 1.3648356e+00, ..., 9.9859200e-02,
-5.9142876e-01, -1.0715214e-01],
[ 5.5978125e-01, 1.3765203e+00, -2.5038481e-01, ..., -1.0526048e+00,
2.8475142e-01, 1.6484155e-01],
[-1.7210822e+00, -1.1637382e-03, 1.0385896e+00, ..., 8.2001328e-01,
5.0397182e-01, -5.9439272e-01]],
[[ 1.4136364e+00, 4.7222260e-01, -1.5893395e+00, ..., -1.6319317e+00,
-1.7463520e+00, 2.0958810e-01],
[ 5.3094995e-01, 5.7179272e-01, -1.0108557e+00, ..., -2.3976348e-01,
-1.0424079e+00, -8.2886696e-01],
[ 3.4198862e-01, 6.2698555e-01, -5.6313968e-01, ..., 2.0716639e+00,
-1.3545121e-01, -3.0205899e-01],
...,
[-3.0254617e-01, -1.3713968e+00, -3.3670027e-02, ..., 3.0446959e-01,
1.1856682e+00, -2.3408893e-01],
[-2.3208676e-01, 7.1697068e-01, -1.1876493e-01, ..., 1.9609467e+00,
-5.4811364e-01, -1.0574698e+00],
[-8.3496749e-02, -5.7859969e-01, 2.1140764e+00, ..., 8.3115798e-01,
-5.5395597e-01, -5.7943046e-01]],
[[ 1.1670731e+00, 5.5699766e-01, 8.4542763e-01, ..., 1.4375530e-01,
-9.3715775e-01, 9.6609336e-01],
[-8.5515952e-01, -1.2538028e+00, 6.9111067e-01, ..., -9.3523420e-02,
1.0878334e+00, 5.2704699e-02],
[ 1.3313509e+00, -1.4546496e-01, -1.1584417e+00, ..., -4.8608288e-01,
7.5625581e-01, -7.6908223e-02],
...,
[-7.2147352e-01, -8.8668644e-01, 4.3199316e-01, ..., -2.8408614e-01,
-2.1511474e-01, 5.2505398e-01],
[-9.2686415e-01, 3.5699975e-01, -1.1716738e-01, ..., -5.7836121e-01,
1.2156203e+00, -3.7122151e-01],
[ 6.7660934e-01, -9.0879560e-01, 4.9330774e-01, ..., 1.4223782e+00,
2.0939447e-01, 9.0428174e-01]]]]
Outputs:
y: shape=(1, 3, 10, 10), dtype=float32
[[[[4.6116943, 5.8861794, 4.932948 , ..., 5.425807 , 6.0710025, 4.817687 ],
[4.537992 , 4.007221 , 4.2822833, ..., 4.8771024, 5.3664975, 4.3562403],
[4.620887 , 3.9284973, 3.9272285, ..., 3.8085432, 4.3231893, 3.8648467],
...,
[5.4850626, 5.21928 , 4.223256 , ..., 4.917305 , 5.37262 , 5.560199 ],
[4.6766176, 5.141769 , 3.947214 , ..., 3.7930362, 3.8172958, 4.017614 ],
[4.3756256, 4.7289796, 4.7694025, ..., 5.198682 , 4.560657 , 3.6624026]],
[[4.8903613, 4.660781 , 5.5632606, ..., 5.9268575, 4.686613 , 4.5087023],
[5.401898 , 4.6077642, 4.5297084, ..., 5.711071 , 5.706788 , 3.727938 ],
[4.4167843, 3.9124227, 4.638415 , ..., 5.984978 , 6.8148823, 4.2413483],
...,
[4.475157 , 5.3243046, 5.207049 , ..., 6.036544 , 5.744844 , 5.595772 ],
[5.0976796, 5.779188 , 6.27187 , ..., 5.1731677, 4.8861694, 5.3530707],
[4.964149 , 4.410377 , 5.0050364, ..., 4.909915 , 4.3395987, 4.932002 ]],
[[5.4846354, 5.137409 , 4.2649894, ..., 5.3856444, 5.040445 , 4.760739 ],
[4.9001603, 4.496438 , 4.3183146, ..., 5.671736 , 5.3694243, 4.811084 ],
[4.6954618, 3.9933572, 4.8347616, ..., 5.7186146, 4.9717445, 3.706962 ],
...,
[5.9014397, 5.4618974, 5.4261355, ..., 5.4896083, 5.223044 , 4.015298 ],
[6.0231676, 5.3247313, 5.06964 , ..., 3.5824301, 4.601676 , 4.5683455],
[5.0828304, 4.7262893, 4.3441477, ..., 4.424379 , 6.2867174, 4.7845435]]]]
test_cc_lppool_3d_default
Node:
LpPool(x) -> (y)
Attributes:
kernel_shape = [2, 2, 2]
p = 3
Inputs:
x: shape=(1, 3, 32, 32, 32), dtype=float32
[[[[[-1.77724755e+00, 9.32670832e-01, -7.88519204e-01, ...,
-1.30240476e+00, -2.90819913e-01, 6.96672022e-01],
[ 1.18932796e+00, -5.25348186e-01, 1.26596534e+00, ...,
-6.78058565e-01, -2.45211387e+00, 6.43105388e-01],
[-4.12512988e-01, -1.49804544e+00, -1.51665449e+00, ...,
1.29750586e+00, 1.84243500e-01, 1.09156823e+00],
...,
[ 8.36452246e-01, -9.86547992e-02, -3.28149140e-01, ...,
7.33066320e-01, 1.13949013e+00, -1.92292282e-05],
[-1.01846680e-01, 1.66759729e+00, -6.83335727e-03, ...,
4.28619593e-01, 3.81191760e-01, -1.80170166e+00],
[-9.89577651e-01, -1.94616199e+00, 1.80362582e+00, ...,
2.38692146e-02, -1.75665963e+00, 1.95210814e-01]],
[[-1.46663949e-01, -1.86839318e+00, 1.03485799e+00, ...,
-9.38268483e-01, -2.02775049e+00, -6.97936118e-02],
[-3.73631388e-01, -1.82092965e-01, 8.88886750e-01, ...,
3.94500077e-01, 6.47648573e-01, -9.23650265e-01],
[ 5.88231862e-01, 5.08355021e-01, 6.18024051e-01, ...,
-1.53756070e+00, -4.57924873e-01, -2.70461535e+00],
...,
[-9.51595426e-01, -3.09892774e-01, 1.09355152e+00, ...,
9.72400084e-02, 3.89010102e-01, -1.91888976e+00],
[-4.45478082e-01, 8.49093080e-01, -4.96324003e-01, ...,
1.57524049e-01, 3.81467864e-02, 6.13378704e-01],
[-1.81643367e+00, -5.09528577e-01, 1.66012275e+00, ...,
-1.39192373e-01, -6.26526415e-01, 1.38197482e+00]],
[[-9.23900247e-01, 1.46260783e-01, -1.95955670e+00, ...,
6.89441144e-01, 5.77059090e-01, 1.54396951e-01],
[ 7.62447059e-01, -1.02854764e+00, -1.09504580e+00, ...,
7.50971794e-01, 4.52605486e-01, -3.72549146e-01],
[ 5.30886292e-01, 5.56950271e-01, -1.60495448e+00, ...,
-3.53508219e-02, -6.42614007e-01, -2.65495420e-01],
...,
[-1.71139568e-01, 2.35909656e-01, 9.12049770e-01, ...,
9.56706524e-01, 6.29523993e-01, 2.87763000e-01],
[-2.79207498e-01, 1.37585557e+00, 1.41955471e+00, ...,
-8.06747615e-01, -9.98333871e-01, 8.48544598e-01],
[ 1.04288089e+00, -1.17243417e-01, 1.06042576e+00, ...,
-1.74930537e+00, -1.05332041e+00, -8.97938430e-01]],
...,
[[-8.47040176e-01, 1.56617552e-01, -1.22940585e-01, ...,
-1.25152910e+00, -1.48603514e-01, -4.48337525e-01],
[ 2.47504997e+00, 9.32279751e-02, -1.89786315e-01, ...,
1.44407213e+00, 8.65769029e-01, -9.04849470e-01],
[ 5.26253641e-01, 4.51578557e-01, -7.73174047e-01, ...,
-6.33587956e-01, -1.17025170e-02, 2.27958262e-01],
...,
[ 2.27170691e-01, -5.44433296e-01, -1.12945449e+00, ...,
-1.16449237e+00, 3.40644270e-01, -4.50514346e-01],
[ 1.07159448e+00, 1.09495223e+00, -2.01605487e+00, ...,
1.15545905e+00, -1.28952384e-01, 7.05184221e-01],
[ 2.65318036e-01, 3.55029434e-01, -1.43400574e+00, ...,
5.57262480e-01, 1.29004347e+00, -1.25118732e+00]],
[[-2.17036068e-01, -6.61520720e-01, 1.91332126e+00, ...,
-6.64838254e-01, -9.17779028e-01, -5.51064648e-02],
[ 1.10467505e+00, 1.21313810e+00, -8.32483023e-02, ...,
-6.21274747e-02, -2.71801502e-01, -2.98080564e-01],
[-9.15597558e-01, 7.10626662e-01, -9.53149796e-01, ...,
-3.41540612e-02, 4.45896238e-01, -5.54851294e-01],
...,
[-2.74406374e-01, 9.59414303e-01, -6.48893774e-01, ...,
-1.98931128e-01, -1.21012723e+00, -7.69719779e-01],
[-2.50193930e+00, 6.75254822e-01, -1.55139303e+00, ...,
-3.85719657e-01, 5.67003071e-01, -1.31863445e-01],
[-1.27186179e+00, 4.40627366e-01, -5.41920960e-01, ...,
-1.72777486e+00, 2.34588552e+00, -7.14441463e-02]],
[[ 1.45137370e+00, 1.45434654e+00, 9.38940167e-01, ...,
-9.37935531e-01, 1.74516603e-01, -1.30112875e+00],
[ 3.06891590e-01, -5.87225974e-01, 1.37953728e-01, ...,
-1.65395379e+00, -2.12520286e-01, -6.58450544e-01],
[-6.86577916e-01, -3.85966510e-01, -8.45177710e-01, ...,
5.40536344e-01, 7.15393573e-02, 9.85218942e-01],
...,
[-9.29551646e-02, 4.34134752e-01, 4.95901018e-01, ...,
-5.68450868e-01, -5.53422511e-01, 1.87658048e+00],
[ 4.89542127e-01, -8.62631500e-01, 3.68809730e-01, ...,
-2.19116375e-01, -1.42931795e+00, 9.73159969e-01],
[-1.06212306e+00, -6.72888637e-01, -2.02770543e+00, ...,
-1.56229585e-01, -9.73085880e-01, 4.14267451e-01]]],
[[[ 7.64868617e-01, -3.97960126e-01, 7.13687360e-01, ...,
1.28838038e+00, 9.63999331e-01, 3.85855526e-01],
[-1.72446072e+00, 7.22367764e-01, -8.58504713e-01, ...,
5.07528067e-01, -1.33287072e+00, -8.54452848e-01],
[-9.24777314e-02, 1.13160908e+00, 1.68436074e+00, ...,
-5.96390426e-01, -5.40037513e-01, 3.73590142e-01],
...,
[ 8.99575576e-02, 8.88469994e-01, -8.10752690e-01, ...,
1.65990734e+00, 2.79264361e-01, -8.11990976e-01],
[ 1.32722163e+00, 7.04833046e-02, -5.87886095e-01, ...,
7.98412740e-01, -3.10426921e-01, -1.13931704e+00],
[-2.02270222e+00, 3.46080571e-01, -4.76077855e-01, ...,
-7.35932231e-01, -5.81984401e-01, 1.09112239e+00]],
[[-7.82029405e-02, 8.69223893e-01, 1.03861916e+00, ...,
1.11866975e+00, 8.08463991e-01, -1.08912659e+00],
[ 1.86344057e-01, -2.80180722e-01, -3.36234450e-01, ...,
1.07207775e+00, 2.96761006e-01, -1.10902965e+00],
[ 3.30792874e-01, 7.51034200e-01, -1.24948800e+00, ...,
-4.39500988e-01, 3.26396376e-01, -4.08080399e-01],
...,
[ 1.70026219e+00, -4.58425790e-01, -1.11130726e+00, ...,
2.04405761e+00, -1.62838578e-01, -2.20409811e-01],
[ 1.97004449e+00, -3.16983908e-01, -5.86869478e-01, ...,
1.82879710e+00, 2.92447507e-01, -4.99449372e-01],
[-4.19012696e-01, -6.70161784e-01, 8.21463883e-01, ...,
-1.26003468e+00, 1.16755307e+00, 1.52185214e+00]],
[[ 1.36576378e+00, -1.03542173e+00, 5.94183445e-01, ...,
4.18010712e-01, -6.32848918e-01, 6.86794937e-01],
[ 1.40113100e-01, -1.91955709e+00, -2.99092293e+00, ...,
6.04015648e-01, -1.95320040e-01, 3.50139678e-01],
[-3.90424788e-01, -6.46060705e-02, -4.53066558e-01, ...,
-8.19274247e-01, -4.45795059e-01, 7.64756382e-01],
...,
[ 2.07441235e+00, 7.85132408e-01, 1.57436863e-01, ...,
-3.30844432e-01, 1.14483142e+00, -2.20521069e+00],
[-1.48974764e+00, -1.35110557e+00, 2.46279907e+00, ...,
-3.44463885e-01, 8.30269083e-02, 2.80902362e+00],
[ 2.31885219e+00, -8.38283539e-01, -3.02147139e-02, ...,
5.37464082e-01, -4.71376538e-01, -1.02531815e+00]],
...,
[[ 2.00078592e-01, -9.15594339e-01, 2.99881279e-01, ...,
6.69176877e-01, 1.55838418e+00, 7.90759861e-01],
[-4.45137411e-01, -1.38757038e+00, -1.33742332e+00, ...,
1.58114839e+00, -1.18063353e-01, 1.83723792e-01],
[-1.34090984e+00, 6.07153475e-01, -4.05009657e-01, ...,
6.73383594e-01, 2.40598753e-01, -6.77588999e-01],
...,
[-1.59560525e+00, -1.33539498e+00, -6.24407709e-01, ...,
-1.37417644e-01, 1.84408143e-01, 5.07717669e-01],
[ 1.01911330e+00, -1.21823215e+00, -9.65227708e-02, ...,
1.42726302e+00, -1.71602440e+00, -2.94294983e-01],
[-1.07237518e+00, 5.09177923e-01, 1.48854852e+00, ...,
-2.13530135e+00, -1.07864857e+00, -1.23036742e+00]],
[[-9.43881929e-01, 7.52457023e-01, 4.04403180e-01, ...,
7.52190590e-01, 2.07623768e+00, 5.64461768e-01],
[-7.74139524e-01, -5.25609672e-01, 2.84853876e-01, ...,
1.10719860e+00, 6.64859772e-01, 6.28110588e-01],
[-1.51566923e-01, -1.54837954e+00, 6.78636491e-01, ...,
8.29540372e-01, 1.55956656e-01, 3.75469595e-01],
...,
[ 2.09161472e+00, -1.89485461e-01, 2.46653348e-01, ...,
1.91499852e-02, 2.75664300e-01, -2.19999880e-01],
[ 1.41925240e+00, 4.55193043e-01, 9.62914884e-01, ...,
3.01659822e-01, -5.65738797e-01, -2.60363996e-01],
[-3.87321085e-01, 9.44359839e-01, -1.55650353e+00, ...,
-1.15253799e-01, -1.75906688e-01, -1.15120995e+00]],
[[ 1.02299273e+00, 5.98712146e-01, -8.47759604e-01, ...,
-3.10078204e-01, 1.36057556e-01, 1.75247476e-01],
[-1.33096755e+00, 1.92070401e+00, 3.84087384e-01, ...,
3.98736119e-01, -5.01355171e-01, 1.11466014e+00],
[ 1.83339512e+00, 2.64565736e-01, 2.31634960e-01, ...,
-9.07990336e-01, -1.26150298e+00, -1.99342847e-01],
...,
[ 1.39641082e+00, -1.32361567e+00, 1.85833859e+00, ...,
-5.64976573e-01, -5.20077050e-01, -2.00926018e+00],
[ 8.65106702e-01, -2.72291303e+00, -5.73045425e-02, ...,
-9.99200344e-01, -7.24348307e-01, 4.54076678e-01],
[ 2.15095782e+00, 1.61711717e+00, 9.49422717e-01, ...,
-4.87430245e-01, 1.42191410e+00, 8.80883932e-01]]],
[[[ 5.81504881e-01, -2.45973561e-02, -7.46624649e-01, ...,
1.94205344e+00, 6.44581795e-01, -3.32763702e-01],
[-2.01047444e+00, 6.90806627e-01, 4.18014646e-01, ...,
-4.87950563e-01, -2.82944351e-01, 7.03458667e-01],
[-5.32663465e-02, -1.61100245e+00, 6.48832858e-01, ...,
-2.42433906e-01, 1.38223910e+00, 6.05833471e-01],
...,
[-5.23714960e-01, 2.99967974e-01, 5.56634426e-01, ...,
6.30891204e-01, -5.74086368e-01, 2.50416964e-01],
[-9.15433288e-01, -2.10045123e+00, 3.55469644e-01, ...,
-3.63254577e-01, -8.86158764e-01, 8.46191719e-02],
[-7.18812346e-01, 1.60900855e+00, -3.69043052e-01, ...,
-6.44413590e-01, -1.69606364e+00, 3.67229998e-01]],
[[ 6.61439821e-02, -4.01709795e-01, -5.54673016e-01, ...,
4.96663123e-01, -7.82854557e-01, -1.18357062e+00],
[ 1.19937038e+00, 9.46272552e-01, 9.10839498e-01, ...,
-1.49953485e-01, -2.61138827e-01, 7.33927608e-01],
[ 7.42897749e-01, 1.55359232e+00, -1.23750496e+00, ...,
1.93245590e-01, -8.80168140e-01, 8.73771608e-01],
...,
[-8.25529158e-01, 1.62610024e-01, 4.36083585e-01, ...,
1.89241797e-01, -4.11257684e-01, -1.85551032e-01],
[-1.14040472e-01, -3.59780967e-01, -9.67598736e-01, ...,
4.04878139e-01, -1.12140262e+00, 3.65338445e-01],
[ 1.01016033e+00, -3.48524213e-01, 7.02339888e-01, ...,
-3.57991815e-01, -4.67478216e-01, 1.24508560e+00]],
[[-6.63452864e-01, -5.31720936e-01, 3.13830227e-02, ...,
-4.71487455e-02, 5.54803371e-01, -2.87381560e-01],
[ 1.37591326e+00, -8.24275911e-01, 9.32540655e-01, ...,
9.96323228e-01, -7.02507317e-01, -6.60126984e-01],
[ 6.22867465e-01, -1.93041039e+00, 3.64976794e-01, ...,
1.79747832e+00, 7.14453101e-01, -1.07472456e+00],
...,
[-1.32240784e+00, -2.52469718e-01, 1.78043711e+00, ...,
-5.05787969e-01, 1.16584575e+00, -6.51726186e-01],
[ 6.63556635e-01, -4.12901580e-01, 2.28532243e+00, ...,
8.40650320e-01, -2.49439895e-01, -3.70357454e-01],
[-6.77477062e-01, -1.94496572e+00, 7.67433941e-01, ...,
-1.39166087e-01, -2.01301828e-01, 5.89822590e-01]],
...,
[[-4.85048831e-01, 1.43220377e+00, 1.33982265e+00, ...,
4.73240674e-01, -5.73891401e-01, -1.06634808e+00],
[ 7.96292901e-01, 7.24742338e-02, 1.59870946e+00, ...,
8.10824931e-01, 1.44449413e+00, 5.71803212e-01],
[ 1.46726547e-02, 7.57329404e-01, -5.40512741e-01, ...,
7.26869702e-01, 7.83448040e-01, 4.49442089e-01],
...,
[-2.03429031e+00, -3.19770604e-01, -8.26510787e-01, ...,
-9.76963997e-01, 3.65276784e-01, -5.07119954e-01],
[-3.06567252e-01, 8.81686032e-01, -6.52831614e-01, ...,
-1.30326688e-01, -8.60918701e-01, -2.85606623e-01],
[ 1.22607648e+00, -4.97325599e-01, -4.04264808e-01, ...,
6.87225640e-01, -1.67635322e+00, -6.72649860e-01]],
[[-4.47713584e-01, 9.12753522e-01, 1.53583252e+00, ...,
9.56032932e-01, -1.56430531e+00, -6.02430962e-02],
[-6.15832806e-01, 3.62992644e-01, 3.92516077e-01, ...,
-1.33521414e+00, -1.25726545e+00, -5.52615285e-01],
[-2.94809267e-02, -1.20961761e+00, 1.32604384e+00, ...,
-1.80401817e-01, 1.62543535e-01, 5.87584674e-01],
...,
[ 1.38137054e+00, 6.43375635e-01, -1.25676656e+00, ...,
1.53797007e+00, -4.88032967e-01, -2.23913407e+00],
[ 2.25230232e-01, -3.18461508e-01, -7.07920372e-01, ...,
-7.94349551e-01, 1.10856760e+00, 5.09931684e-01],
[ 6.53804243e-01, -1.53256461e-01, -3.84026021e-01, ...,
3.61064345e-01, 3.40726405e-01, 1.80453494e-01]],
[[-1.10451438e-01, 4.38235730e-01, 5.39081216e-01, ...,
3.64456564e-01, -8.45658720e-01, 7.28910923e-01],
[ 1.30830884e+00, -1.00352490e+00, -8.99819791e-01, ...,
1.82801175e+00, 3.18494409e-01, -3.90225053e-01],
[-7.60791540e-01, -7.83301666e-02, -2.95906872e-01, ...,
-1.44806549e-01, 1.09338082e-01, 6.37639105e-01],
...,
[ 6.30912423e-01, -4.27862346e-01, 1.92712915e+00, ...,
-2.14568749e-01, -9.11891758e-01, -5.03586948e-01],
[-4.89108205e-01, 3.07498312e+00, 9.18641508e-01, ...,
1.44246066e+00, -2.05410331e-01, -1.41744041e+00],
[ 2.98805803e-01, -5.91217220e-01, -1.06882346e+00, ...,
1.31310731e-01, 3.29194576e-01, -1.88720435e-01]]]]]
Outputs:
y: shape=(1, 3, 31, 31, 31), dtype=float32
[[[[[2.4571881 , 2.2775688 , 2.3208604 , ..., 1.5435675 , 2.992071 ,
2.9150453 ],
[1.7813321 , 2.1616068 , 2.48212 , ..., 2.058519 , 2.7724602 ,
3.3399153 ],
[1.6160519 , 2.2139559 , 2.99423 , ..., 2.4064846 , 1.8662378 ,
2.8258264 ],
...,
[1.9592353 , 1.9929233 , 1.5945988 , ..., 1.3851556 , 1.5421834 ,
2.058283 ],
[1.8960824 , 1.8894707 , 1.7817012 , ..., 2.2657042 , 1.2747356 ,
2.4518142 ],
[2.7055547 , 2.8569095 , 2.924852 , ..., 2.381428 , 1.7974795 ,
2.4355986 ]],
[[2.07288 , 2.633672 , 2.6830122 , ..., 1.3078294 , 2.1920378 ,
2.1354454 ],
[1.309756 , 1.9818298 , 2.4699137 , ..., 1.9266925 , 1.6921972 ,
2.774959 ],
[1.0780702 , 2.0698493 , 3.0431383 , ..., 1.939472 , 1.6900069 ,
2.7513223 ],
...,
[2.0113719 , 2.0887933 , 1.7089759 , ..., 1.3287663 , 1.3782933 ,
1.9854525 ],
[1.6180764 , 2.0254073 , 2.2093875 , ..., 1.3802253 , 1.3940169 ,
2.0980034 ],
[2.195869 , 2.2958426 , 2.5092413 , ..., 2.0473309 , 2.024231 ,
1.877175 ]],
[[1.7313299 , 2.2306278 , 2.2284071 , ..., 1.3409916 , 1.6476183 ,
2.1043525 ],
[1.8004028 , 2.08038 , 2.0750077 , ..., 1.814109 , 1.8988867 ,
1.6733575 ],
[2.509749 , 2.4496322 , 2.7928574 , ..., 2.4833515 , 3.399864 ,
3.331192 ],
...,
[2.1136334 , 2.270467 , 1.9805902 , ..., 1.8077523 , 1.8596485 ,
1.2998627 ],
[2.4125314 , 2.345708 , 2.0312438 , ..., 2.8852282 , 2.4564028 ,
1.4963479 ],
[2.2868402 , 2.1538942 , 2.0426824 , ..., 2.9775357 , 2.5747888 ,
1.538096 ]],
...,
[[2.7173574 , 1.4041272 , 2.2920706 , ..., 2.486433 , 2.4594734 ,
1.2288183 ],
[2.663264 , 1.529553 , 1.530274 , ..., 2.0284247 , 1.9700407 ,
1.4303527 ],
[2.0501015 , 1.9093691 , 1.5025456 , ..., 1.7386491 , 1.3400081 ,
1.5672941 ],
...,
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2.0200152 ]],
[[2.678074 , 2.0872297 , 1.9878217 , ..., 2.3067353 , 1.8862498 ,
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...,
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2.598875 ]],
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1.4922432 ],
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1.5998852 ],
...,
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2.3532841 ],
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...,
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1.306588 ],
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2.0223165 ]],
[[2.2518716 , 3.3317907 , 3.285202 , ..., 1.53036 , 1.5523713 ,
1.5657171 ],
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1.2763277 ],
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...,
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1.2359242 ],
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1.8431358 ],
...,
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3.0569675 ]],
...,
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...,
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2.6736076 ],
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2.7057576 ],
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2.1720047 ]],
[[1.7556468 , 1.8680557 , 1.5138197 , ..., 2.0815063 , 2.6714785 ,
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1.8441293 ],
...,
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2.2367492 ],
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...,
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[[[2.2433803 , 1.3851112 , 1.3494105 , ..., 2.7960029 , 2.029133 ,
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[[1.8415158 , 1.4977486 , 1.4446164 , ..., 2.181833 , 1.2866607 ,
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...,
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...,
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1.3657352 ],
...,
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2.8985965 ]],
[[1.6737276 , 2.405589 , 2.8705254 , ..., 1.6704746 , 2.345995 ,
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[1.4407986 , 2.0714695 , 2.272228 , ..., 2.6353202 , 2.063775 ,
1.8307421 ],
[2.3394892 , 1.7894387 , 2.3437693 , ..., 2.690405 , 1.7964193 ,
1.2380242 ],
...,
[2.4533923 , 2.3691597 , 2.8299108 , ..., 2.1004755 , 1.8362875 ,
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2.3915281 ],
[1.4433908 , 1.1696088 , 1.3308183 , ..., 2.8290262 , 1.9683253 ,
1.9324914 ]],
[[1.6469276 , 1.8635172 , 1.9810729 , ..., 2.309721 , 2.5126588 ,
1.9191114 ],
[1.790706 , 1.8146394 , 1.8854954 , ..., 2.273982 , 2.1913674 ,
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...,
[1.7790495 , 2.8088179 , 2.9013562 , ..., 1.6753503 , 1.7034587 ,
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[3.190204 , 3.412084 , 2.6187787 , ..., 2.0378532 , 2.1101394 ,
2.5499327 ],
[3.0986712 , 3.1657073 , 2.0779123 , ..., 1.7028888 , 1.7097617 ,
1.643503 ]]]]]
Differences with previous version (18)#
SchemaDiff: LpPool (domain 'ai.onnx')
old version: 18
new version: 22
breaking: no
Type constraints:
changed ‘T’: added types: [‘tensor(bfloat16)’]