NegativeLogLikelihoodLoss - version 13#
This page documents version 13 of operator NegativeLogLikelihoodLoss. See NegativeLogLikelihoodLoss for the latest version (since version 22).
Domain:
ai.onnxSince version: 13
A NegativeLogLikelihoodLoss operator computes (weighted) negative log likelihood loss. Its “input” tensor has the shape of (N, C, d1, d2, …, dk) where k >= 0. The “input” tensor contains log-probabilities for input[n, :, d_1, d_2,…, d_k] being in a class of [0, C). The operator’s “target” input tensor has the shape of (N, d1, d2, …, dk). It encodes class labels (one of C classes) or it may contain a special value (indicated by an attribute ignore_index) for N x d1 x d2 x … x dk samples. The loss value for input[n, :, d_1, d_2,…d_k] being classified as class c = target[n][d_1][d_2]…[d_k] is computed as:
loss[n][d_1][d_2]...[d_k] = -input[n][c][d_1][d_2]...[d_k].
Inputs
input (T): Input tensor of shape (N, C) or (N, C, d1, d2, …, dk).
target (Tind): Target tensor of shape (N) or (N, d1, d2, …, dk). Target element value shall be in range of [0, C). If ignore_index is specified, it may have a value outside [0, C) and the target values should either be in the range [0, C) or have the value ignore_index.
weight (T): Optional rescaling weight tensor. If given, it has to be a tensor of size C. Otherwise, it is treated as if having all ones.
Outputs
loss (T): The negative log likelihood loss
Attributes
ignore_index (int): Specifies a target value that is ignored and does not contribute to the input gradient. It’s an optional value.
reduction (string): Type of reduction to apply to loss: none, sum, mean (default). ‘none’: the output is the loss for each sample. ‘sum’: the output will be summed. ‘mean’: the sum of the output will be divided by the sum of applied weights.
Type Constraints
T: Constrain input, weight, and output types to floating-point tensors. Allowed types: tensor(double), tensor(float), tensor(float16).
Tind: Constrain target to integer types Allowed types: tensor(int32), tensor(int64).
Examples#
test_cc_negative_log_likelihood_loss_ignore_index
Node:
NegativeLogLikelihoodLoss(input, target) -> (loss)
Attributes:
ignore_index = -1
Inputs:
input: shape=(3, 5), dtype=float32
[[-1.6 , -1.5 , -1.4 , -1.3 , -1.2 ],
[-1. , -1.5 , -1.8 , -1.9 , -1.95],
[-2.2 , -1.7 , -1.3 , -1.1 , -1.2 ]]
target: shape=(3,), dtype=int64
[ 2, -1, 4]
Outputs:
loss: shape=(), dtype=float32
1.3
test_cc_negative_log_likelihood_loss_kd_none
Node:
NegativeLogLikelihoodLoss(input, target) -> (loss)
Attributes:
reduction = "none"
Inputs:
input: shape=(2, 3, 2), dtype=float32
[[[-1., -2.],
[-2., -2.],
[-3., -2.]],
[[ 0., -1.],
[-2., -2.],
[-1., -2.]]]
target: shape=(2, 2), dtype=int64
[[2, 1],
[0, 2]]
Outputs:
loss: shape=(2, 2), dtype=float32
[[ 3., 2.],
[-0., 2.]]
test_cc_negative_log_likelihood_loss_mean
Node:
NegativeLogLikelihoodLoss(input, target) -> (loss)
Inputs:
input: shape=(3, 5), dtype=float32
[[-1.6 , -1.5 , -1.4 , -1.3 , -1.2 ],
[-1. , -1.5 , -1.8 , -1.9 , -1.95],
[-2.2 , -1.7 , -1.3 , -1.1 , -1.2 ]]
target: shape=(3,), dtype=int64
[2, 0, 4]
Outputs:
loss: shape=(), dtype=float32
1.2
test_cc_negative_log_likelihood_loss_none
Node:
NegativeLogLikelihoodLoss(input, target) -> (loss)
Attributes:
reduction = "none"
Inputs:
input: shape=(3, 5), dtype=float32
[[-1.6 , -1.5 , -1.4 , -1.3 , -1.2 ],
[-1. , -1.5 , -1.8 , -1.9 , -1.95],
[-2.2 , -1.7 , -1.3 , -1.1 , -1.2 ]]
target: shape=(3,), dtype=int64
[2, 0, 4]
Outputs:
loss: shape=(3,), dtype=float32
[1.4, 1. , 1.2]
test_cc_negative_log_likelihood_loss_weighted_sum
Node:
NegativeLogLikelihoodLoss(input, target, weight) -> (loss)
Attributes:
reduction = "sum"
Inputs:
input: shape=(3, 5), dtype=float32
[[-1.6 , -1.5 , -1.4 , -1.3 , -1.2 ],
[-1. , -1.5 , -1.8 , -1.9 , -1.95],
[-2.2 , -1.7 , -1.3 , -1.1 , -1.2 ]]
target: shape=(3,), dtype=int64
[2, 0, 4]
weight: shape=(5,), dtype=float32
[0.2, 0.3, 0.6, 0.1, 0.5]
Outputs:
loss: shape=(), dtype=float32
1.6400001
test_nllloss_NC
Node:
NegativeLogLikelihoodLoss(input, target) -> (loss)
Attributes:
reduction = "none"
Inputs:
input: shape=(3, 5), dtype=float32
[[0.1372926 , 0.01459079, 0.24347016, 0.25335455, 0.6680142 ],
[0.01382091, 0.7019511 , 0.8280066 , 0.11665273, 0.5589518 ],
[0.94570726, 0.73391235, 0.93214256, 0.3205816 , 0.0888279 ]]
target: shape=(3,), dtype=int64
[1, 1, 2]
Outputs:
loss: shape=(3,), dtype=float32
[-0.01459079, -0.7019511 , -0.93214256]
test_nllloss_NCd1
Node:
NegativeLogLikelihoodLoss(input, target) -> (loss)
Inputs:
input: shape=(3, 5, 2), dtype=float32
[[[0.09574518, 0.42751467],
[0.9962173 , 0.2819634 ],
[0.03774919, 0.2815617 ],
[0.64771163, 0.0615367 ],
[0.34867725, 0.5337921 ]],
[[0.44873956, 0.8908687 ],
[0.3502169 , 0.15908147],
[0.98735607, 0.0431841 ],
[0.989821 , 0.87665254],
[0.3423718 , 0.4939811 ]],
[[0.13705271, 0.28889212],
[0.5209411 , 0.19422579],
[0.6539507 , 0.24385731],
[0.04672573, 0.36546904],
[0.73671174, 0.24403228]]]
target: shape=(3, 2), dtype=int64
[[0, 3],
[0, 1],
[2, 1]]
Outputs:
loss: shape=(), dtype=float32
-0.2688799
test_nllloss_NCd1_ii
Node:
NegativeLogLikelihoodLoss(input, target) -> (loss)
Attributes:
ignore_index = 1
Inputs:
input: shape=(3, 5, 2), dtype=float32
[[[0.24874441, 0.53374 ],
[0.556076 , 0.59744704],
[0.90098387, 0.09739836],
[0.74123424, 0.5317954 ],
[0.11382105, 0.10846807]],
[[0.73719954, 0.12600584],
[0.88744104, 0.19709475],
[0.7599272 , 0.06901409],
[0.02357123, 0.99940133],
[0.767414 , 0.7852747 ]],
[[0.13599238, 0.3972656 ],
[0.29266414, 0.29214236],
[0.9160371 , 0.9131216 ],
[0.39288202, 0.77838576],
[0.84103334, 0.53361666]]]
target: shape=(3, 2), dtype=int64
[[1, 3],
[2, 0],
[3, 2]]
Outputs:
loss: shape=(), dtype=float32
-0.5447464
test_nllloss_NCd1_mean_weight_negative_ii
Node:
NegativeLogLikelihoodLoss(input, target, weight) -> (loss)
Attributes:
ignore_index = -1
Inputs:
input: shape=(3, 5, 6), dtype=float32
[[[4.1424575e-01, 9.4765806e-01, 4.8029652e-01, 2.9577523e-01, 8.0205595e-01,
6.8965228e-03],
[2.0471738e-01, 3.3047280e-01, 9.9555832e-01, 8.9007020e-01, 3.2574293e-01,
4.2179593e-01],
[9.4396196e-02, 5.5618399e-01, 5.2890593e-01, 2.7835223e-01, 9.9774742e-01,
1.8599142e-01],
[6.4331365e-01, 6.5686935e-01, 3.7368020e-01, 5.1481701e-03, 2.4661501e-01,
3.6000010e-01],
[7.6746905e-01, 5.2939802e-01, 8.5338694e-01, 9.9010205e-01, 8.7341350e-01,
6.2355626e-01]],
[[6.7307657e-01, 9.2399526e-01, 9.8636180e-01, 5.1487041e-01, 4.4981024e-01,
2.3118374e-01],
[9.2370445e-03, 2.4788203e-02, 6.3697308e-01, 3.9493150e-01, 4.5983475e-01,
2.7655336e-01],
[8.9509554e-02, 9.9151617e-01, 7.6831317e-01, 2.5889164e-01, 3.6550832e-01,
9.5725745e-01],
[1.8379109e-01, 1.4478230e-01, 4.8209000e-01, 5.2408957e-01, 5.6288816e-02,
9.4545805e-01],
[1.3351338e-01, 5.4534275e-02, 8.4349692e-01, 5.3493834e-01, 3.8138503e-04,
9.3268216e-01]],
[[8.9771122e-01, 9.9976294e-02, 8.8541692e-01, 5.4279572e-01, 1.9384132e-01,
6.2878442e-01],
[1.6016859e-01, 3.0016690e-01, 3.4301333e-02, 9.6219867e-01, 8.7976211e-01,
8.1088221e-01],
[6.6850610e-02, 5.6655502e-01, 1.4852342e-01, 9.8042828e-01, 8.0300117e-01,
6.3069272e-01],
[7.4014205e-01, 5.6974900e-01, 5.0449568e-01, 2.7109963e-01, 7.3978478e-01,
3.7423846e-01],
[1.6102643e-01, 5.2643752e-01, 2.1066642e-01, 6.1272323e-01, 9.2134483e-02,
2.9700953e-01]]]
target: shape=(3, 6), dtype=int64
[[-1, 4, 2, 2, 0, 1],
[ 0, 1, 3, 3, 3, 1],
[ 2, 0, 3, 4, 4, 4]]
weight: shape=(5,), dtype=float32
[0.19672231, 0.6712631 , 0.3359404 , 0.9142371 , 0.71518904]
Outputs:
loss: shape=(), dtype=float32
-0.35704133
test_nllloss_NCd1_weight
Node:
NegativeLogLikelihoodLoss(input, target, weight) -> (loss)
Inputs:
input: shape=(3, 5, 2), dtype=float32
[[[0.8192233 , 0.8438998 ],
[0.4401144 , 0.6586636 ],
[0.49462843, 0.58142245],
[0.82746005, 0.36975667],
[0.03065979, 0.27753633]],
[[0.81034374, 0.69618917],
[0.20116965, 0.21842377],
[0.17376567, 0.14734328],
[0.5709437 , 0.823277 ],
[0.694653 , 0.12813331]],
[[0.7014003 , 0.70135385],
[0.4662297 , 0.60868746],
[0.7496765 , 0.5062943 ],
[0.65748644, 0.5952278 ],
[0.28897536, 0.7253055 ]]]
target: shape=(3, 2), dtype=int64
[[3, 1],
[0, 0],
[1, 1]]
weight: shape=(5,), dtype=float32
[0.7035685 , 0.5877917 , 0.02397239, 0.2669857 , 0.19642454]
Outputs:
loss: shape=(), dtype=float32
-0.6690487
test_nllloss_NCd1_weight_ii
Node:
NegativeLogLikelihoodLoss(input, target, weight) -> (loss)
Attributes:
ignore_index = 1
Inputs:
input: shape=(3, 5, 2), dtype=float32
[[[0.5869178 , 0.6397136 ],
[0.21613504, 0.31008804],
[0.89994484, 0.79360366],
[0.80591667, 0.9113803 ],
[0.33981663, 0.80330366]],
[[0.7594369 , 0.03140374],
[0.8941617 , 0.04732785],
[0.40176305, 0.59372234],
[0.9166783 , 0.84574735],
[0.38304487, 0.5484436 ]],
[[0.36499795, 0.4497438 ],
[0.19739774, 0.6711536 ],
[0.855493 , 0.40844664],
[0.7706796 , 0.12798275],
[0.05211984, 0.01591668]]]
target: shape=(3, 2), dtype=int64
[[1, 0],
[1, 3],
[4, 2]]
weight: shape=(5,), dtype=float32
[0.55579615, 0.91375047, 0.6320284 , 0.46309698, 0.38556468]
Outputs:
loss: shape=(), dtype=float32
-0.50354326
test_nllloss_NCd1d2
Node:
NegativeLogLikelihoodLoss(input, target) -> (loss)
Attributes:
reduction = "none"
Inputs:
input: shape=(3, 5, 6, 6), dtype=float32
[[[[0.06738562, 0.5961228 , 0.48529905, 0.53905946, 0.37471265, 0.5018657 ],
[0.4569292 , 0.17814437, 0.14091791, 0.32206643, 0.5695639 , 0.7650324 ],
[0.91490287, 0.9940793 , 0.2503924 , 0.00519615, 0.7929209 , 0.8686745 ],
[0.8298875 , 0.68514955, 0.11643068, 0.25493073, 0.6956778 , 0.65371305],
[0.6871442 , 0.01825816, 0.89445543, 0.09169199, 0.7418939 , 0.68462586],
[0.43499497, 0.390892 , 0.25860205, 0.19735286, 0.8948897 , 0.39897093]],
[[0.02310002, 0.556477 , 0.9074213 , 0.7237164 , 0.93122846, 0.25692347],
[0.7644127 , 0.29962152, 0.06760639, 0.47309408, 0.32271978, 0.14043507],
[0.64563227, 0.66267776, 0.89988726, 0.52953595, 0.58319587, 0.8376883 ],
[0.5313813 , 0.12990047, 0.76178247, 0.5630235 , 0.84225035, 0.4505923 ],
[0.8967917 , 0.9737881 , 0.83228594, 0.1710534 , 0.8224808 , 0.8774565 ],
[0.5266467 , 0.23586279, 0.33957714, 0.45132494, 0.86410606, 0.21576339]],
[[0.08036798, 0.36674187, 0.48964506, 0.36380062, 0.5875283 , 0.33133203],
[0.5290436 , 0.53671426, 0.21371566, 0.8937063 , 0.8129975 , 0.14852034],
[0.55499256, 0.92888176, 0.17773761, 0.93639106, 0.76929075, 0.15314929],
[0.98111683, 0.88875306, 0.40956396, 0.3295279 , 0.45268604, 0.2479886 ],
[0.00169032, 0.93415123, 0.28062558, 0.566713 , 0.14196117, 0.7815119 ],
[0.05160896, 0.09674271, 0.8059395 , 0.8669277 , 0.8025639 , 0.882296 ]],
[[0.6932412 , 0.14156504, 0.10192297, 0.7981752 , 0.30884555, 0.7629162 ],
[0.20824015, 0.8681914 , 0.35552576, 0.14612311, 0.54832035, 0.2863022 ],
[0.02273921, 0.6723547 , 0.8722047 , 0.9455194 , 0.27440763, 0.46176052],
[0.23142724, 0.7042824 , 0.6711636 , 0.12922412, 0.6036785 , 0.00695269],
[0.7636419 , 0.8975551 , 0.9476126 , 0.00742347, 0.6370986 , 0.78498304],
[0.34416834, 0.16323291, 0.69129044, 0.09196004, 0.59503424, 0.71367985]],
[[0.35820356, 0.86994815, 0.35070235, 0.97433555, 0.28859007, 0.907178 ],
[0.6437292 , 0.7606146 , 0.90999925, 0.27533478, 0.5197302 , 0.32047257],
[0.8587545 , 0.36717972, 0.606089 , 0.43801838, 0.82350403, 0.61767817],
[0.539805 , 0.47889397, 0.04022796, 0.17581362, 0.05302006, 0.50829715],
[0.9126144 , 0.14653173, 0.9021212 , 0.79951745, 0.5097186 , 0.9732029 ],
[0.8492079 , 0.8763541 , 0.998725 , 0.86788213, 0.37688804, 0.36388168]]],
[[[0.90619975, 0.23470148, 0.30372238, 0.13762121, 0.79326123, 0.18462719],
[0.23508668, 0.15140247, 0.2144661 , 0.84928197, 0.00552102, 0.24478176],
[0.6956007 , 0.9260197 , 0.2352714 , 0.3615701 , 0.7173729 , 0.00634664],
[0.19724892, 0.5274828 , 0.05741527, 0.72006285, 0.10207827, 0.4255474 ],
[0.5992432 , 0.06280193, 0.3398074 , 0.31383348, 0.7982226 , 0.44669595],
[0.20846711, 0.61437976, 0.7456728 , 0.5379569 , 0.61022514, 0.07180159]],
[[0.10339639, 0.13173088, 0.4424263 , 0.19693908, 0.25016496, 0.05322524],
[0.10645533, 0.3358375 , 0.34470114, 0.52304095, 0.48772445, 0.22468752],
[0.04142464, 0.27624074, 0.18759035, 0.03282627, 0.8062528 , 0.7873207 ],
[0.95409364, 0.6596857 , 0.5921177 , 0.7006087 , 0.792218 , 0.44396675],
[0.63905704, 0.43314078, 0.9695373 , 0.90681106, 0.260381 , 0.86860687],
[0.3226334 , 0.4012568 , 0.2297007 , 0.6158111 , 0.86524594, 0.26856244]],
[[0.8309867 , 0.8966284 , 0.84265685, 0.8332262 , 0.08553922, 0.49604353],
[0.14367455, 0.8878707 , 0.58956265, 0.5661446 , 0.10748794, 0.7421953 ],
[0.11579284, 0.33462492, 0.45132095, 0.48628414, 0.72589654, 0.14893413],
[0.2935743 , 0.20984638, 0.73405087, 0.82757294, 0.9650859 , 0.43858725],
[0.7159988 , 0.11645231, 0.17957753, 0.37721217, 0.68130803, 0.804813 ],
[0.81427985, 0.70883876, 0.07126499, 0.9435996 , 0.33579093, 0.9280204 ]],
[[0.30006653, 0.1320784 , 0.59825677, 0.3142253 , 0.87435955, 0.3827881 ],
[0.71499306, 0.53080446, 0.9265135 , 0.8091137 , 0.08114032, 0.12516785],
[0.9609927 , 0.52906984, 0.64989406, 0.3856526 , 0.39542046, 0.20608965],
[0.549917 , 0.70153874, 0.26891488, 0.83984387, 0.24275811, 0.9345893 ],
[0.6313074 , 0.77731186, 0.06780118, 0.25435796, 0.326489 , 0.46428016],
[0.9045986 , 0.22040886, 0.17948833, 0.2507911 , 0.7799609 , 0.03709236]],
[[0.6131073 , 0.2435938 , 0.6211329 , 0.21189249, 0.7038617 , 0.6482806 ],
[0.85843086, 0.6334916 , 0.9710755 , 0.79192996, 0.56755495, 0.6578978 ],
[0.02468134, 0.4729295 , 0.34944555, 0.49724334, 0.19662027, 0.1575626 ],
[0.86832225, 0.66631323, 0.03985965, 0.23938152, 0.0021783 , 0.01060467],
[0.7364646 , 0.6641608 , 0.22779097, 0.7066692 , 0.77689934, 0.20165572],
[0.04588474, 0.41845897, 0.5186692 , 0.8829239 , 0.90825546, 0.6781835 ]]],
[[[0.6496393 , 0.09009776, 0.84551805, 0.39892435, 0.28255373, 0.04012283],
[0.94609815, 0.03882895, 0.557218 , 0.89055264, 0.82302874, 0.48904863],
[0.7834894 , 0.7267545 , 0.16489144, 0.85479474, 0.94833016, 0.7123756 ],
[0.62404376, 0.21228012, 0.33314317, 0.46245378, 0.5310317 , 0.6989126 ],
[0.7919773 , 0.03510919, 0.3848445 , 0.0252379 , 0.5786904 , 0.6583607 ],
[0.4890998 , 0.89863706, 0.28334984, 0.45401055, 0.3277941 , 0.71156365]],
[[0.32930824, 0.6377912 , 0.6371111 , 0.9172037 , 0.04283484, 0.9405043 ],
[0.63083327, 0.18129116, 0.01912099, 0.6699864 , 0.5714912 , 0.18801393],
[0.62056196, 0.6724826 , 0.8053048 , 0.1067321 , 0.1590836 , 0.8864559 ],
[0.40235806, 0.24599445, 0.7717927 , 0.4257463 , 0.91828066, 0.09760103],
[0.6426734 , 0.26541784, 0.82950497, 0.881525 , 0.5368373 , 0.8250517 ],
[0.77172977, 0.60107553, 0.743595 , 0.7696564 , 0.97858083, 0.99259603]],
[[0.93557245, 0.77136284, 0.555358 , 0.7059705 , 0.05420201, 0.9219589 ],
[0.8354864 , 0.93595463, 0.7181128 , 0.9313217 , 0.0131131 , 0.1269984 ],
[0.79833895, 0.6471948 , 0.78275526, 0.07082929, 0.3653851 , 0.24706772],
[0.96381277, 0.03246973, 0.17815177, 0.22185732, 0.4149924 , 0.56937134],
[0.78110397, 0.20366406, 0.33784643, 0.6325232 , 0.82742757, 0.59550303],
[0.2123403 , 0.48903492, 0.20014231, 0.2043627 , 0.8283569 , 0.18587776]],
[[0.8894385 , 0.35700172, 0.94568205, 0.89370036, 0.4119485 , 0.83167446],
[0.7082231 , 0.26690507, 0.60381114, 0.848961 , 0.9602522 , 0.9510926 ],
[0.23635137, 0.9779622 , 0.05233667, 0.4985303 , 0.72987586, 0.8756136 ],
[0.10343783, 0.7503824 , 0.6895353 , 0.2766024 , 0.17399494, 0.7656846 ],
[0.31147707, 0.05376355, 0.9778085 , 0.6724567 , 0.13615505, 0.19304398],
[0.25284016, 0.09842762, 0.8487327 , 0.76785487, 0.4518523 , 0.34958902]],
[[0.89332926, 0.5399211 , 0.82932174, 0.05868947, 0.7755568 , 0.47955167],
[0.24563868, 0.07401433, 0.7230072 , 0.39665443, 0.75008595, 0.0071125 ],
[0.3366849 , 0.92395407, 0.8138209 , 0.6949865 , 0.40831673, 0.2524594 ],
[0.7980647 , 0.33460435, 0.23530811, 0.837978 , 0.42234644, 0.31225833],
[0.47053716, 0.8478153 , 0.7244372 , 0.8383837 , 0.06334686, 0.14980215],
[0.755635 , 0.06645241, 0.8051819 , 0.6516169 , 0.12978315, 0.24059382]]]]
target: shape=(3, 6, 6), dtype=int64
[[[3, 4, 0, 4, 1, 3],
[4, 4, 3, 4, 3, 0],
[4, 3, 3, 0, 1, 2],
[4, 4, 2, 2, 0, 3],
[0, 1, 2, 1, 4, 1],
[2, 3, 3, 2, 2, 2]],
[[3, 4, 2, 0, 0, 2],
[3, 2, 0, 2, 3, 3],
[4, 0, 0, 2, 4, 3],
[3, 3, 2, 4, 4, 4],
[2, 4, 4, 0, 4, 3],
[4, 1, 2, 4, 3, 4]],
[[2, 0, 1, 1, 2, 2],
[2, 1, 0, 2, 3, 1],
[4, 4, 2, 3, 4, 3],
[2, 4, 2, 3, 2, 1],
[4, 0, 0, 1, 2, 0],
[1, 2, 1, 2, 3, 4]]]
Outputs:
loss: shape=(3, 6, 6), dtype=float32
[[[-0.6932412 , -0.86994815, -0.48529905, -0.97433555, -0.93122846,
-0.7629162 ],
[-0.6437292 , -0.7606146 , -0.35552576, -0.27533478, -0.54832035,
-0.7650324 ],
[-0.8587545 , -0.6723547 , -0.8722047 , -0.00519615, -0.58319587,
-0.15314929],
[-0.539805 , -0.47889397, -0.40956396, -0.3295279 , -0.6956778 ,
-0.00695269],
[-0.6871442 , -0.9737881 , -0.28062558, -0.1710534 , -0.5097186 ,
-0.8774565 ],
[-0.05160896, -0.16323291, -0.69129044, -0.8669277 , -0.8025639 ,
-0.882296 ]],
[[-0.30006653, -0.2435938 , -0.84265685, -0.13762121, -0.79326123,
-0.49604353],
[-0.71499306, -0.8878707 , -0.2144661 , -0.5661446 , -0.08114032,
-0.12516785],
[-0.02468134, -0.9260197 , -0.2352714 , -0.48628414, -0.19662027,
-0.20608965],
[-0.549917 , -0.70153874, -0.73405087, -0.23938152, -0.0021783 ,
-0.01060467],
[-0.7159988 , -0.6641608 , -0.22779097, -0.31383348, -0.77689934,
-0.46428016],
[-0.04588474, -0.4012568 , -0.07126499, -0.8829239 , -0.7799609 ,
-0.6781835 ]],
[[-0.93557245, -0.09009776, -0.6371111 , -0.9172037 , -0.05420201,
-0.9219589 ],
[-0.8354864 , -0.18129116, -0.557218 , -0.9313217 , -0.9602522 ,
-0.18801393],
[-0.3366849 , -0.92395407, -0.78275526, -0.4985303 , -0.40831673,
-0.8756136 ],
[-0.96381277, -0.33460435, -0.17815177, -0.2766024 , -0.4149924 ,
-0.09760103],
[-0.47053716, -0.03510919, -0.3848445 , -0.881525 , -0.82742757,
-0.6583607 ],
[-0.77172977, -0.48903492, -0.743595 , -0.2043627 , -0.4518523 ,
-0.24059382]]]
test_nllloss_NCd1d2_no_weight_reduction_mean_ii
Node:
NegativeLogLikelihoodLoss(input, target) -> (loss)
Attributes:
ignore_index = 1
Inputs:
input: shape=(3, 5, 6, 6), dtype=float32
[[[[0.01155951, 0.04135226, 0.8077035 , 0.36365584, 0.9434788 , 0.72186655],
[0.35091105, 0.27109447, 0.6365499 , 0.8924049 , 0.9335441 , 0.0961008 ],
[0.6397281 , 0.30260494, 0.7626865 , 0.60653096, 0.9082416 , 0.9663466 ],
[0.84754926, 0.23166701, 0.9730926 , 0.9411754 , 0.6658213 , 0.04635819],
[0.36439866, 0.4284767 , 0.2804434 , 0.13460071, 0.26157713, 0.7468451 ],
[0.23423155, 0.20899193, 0.42805588, 0.18857819, 0.7121155 , 0.03461386]],
[[0.16625538, 0.11342096, 0.9985986 , 0.2827631 , 0.7976582 , 0.03151583],
[0.6397646 , 0.04028423, 0.9164102 , 0.26552325, 0.34676802, 0.94269735],
[0.810433 , 0.18582335, 0.22750854, 0.83417517, 0.19001317, 0.24125485],
[0.4695706 , 0.3470634 , 0.64967847, 0.7413268 , 0.40921158, 0.7036565 ],
[0.09420376, 0.74001753, 0.02458416, 0.36685303, 0.09725995, 0.01592271],
[0.4991608 , 0.58204716, 0.14401895, 0.8626258 , 0.6373764 , 0.5032715 ]],
[[0.59676623, 0.6755597 , 0.3339241 , 0.91915023, 0.55190134, 0.55137163],
[0.9314483 , 0.8122338 , 0.7303105 , 0.1736801 , 0.68193555, 0.6103322 ],
[0.5019009 , 0.3450646 , 0.03869754, 0.6941992 , 0.5802222 , 0.23127998],
[0.8666612 , 0.58265644, 0.42069364, 0.9009287 , 0.63703525, 0.12168302],
[0.8495076 , 0.60329163, 0.05642061, 0.05916021, 0.9564123 , 0.9026406 ],
[0.9833868 , 0.4560945 , 0.97257274, 0.99234325, 0.86328995, 0.41089365]],
[[0.6483995 , 0.20673166, 0.23674814, 0.18694147, 0.919994 , 0.5861747 ],
[0.4623 , 0.94562876, 0.76815736, 0.892222 , 0.7011468 , 0.7630579 ],
[0.19675817, 0.49949664, 0.7859455 , 0.70261604, 0.62368727, 0.8893465 ],
[0.9212046 , 0.29788056, 0.84405476, 0.2228432 , 0.39724526, 0.40513837],
[0.96566546, 0.7098879 , 0.46394062, 0.7789576 , 0.9097033 , 0.04265282],
[0.02823818, 0.6010727 , 0.3776221 , 0.8169481 , 0.4704505 , 0.18028964]],
[[0.72379607, 0.801262 , 0.46746466, 0.5462273 , 0.06918725, 0.36097383],
[0.63002247, 0.05705424, 0.23311047, 0.49866456, 0.7533254 , 0.00891605],
[0.7336543 , 0.68510425, 0.5083015 , 0.33938628, 0.13119368, 0.78078353],
[0.88798785, 0.76286477, 0.5276199 , 0.97214353, 0.62688273, 0.26061472],
[0.8166047 , 0.13212775, 0.14699242, 0.08805188, 0.51595205, 0.39807853],
[0.9737129 , 0.45818177, 0.7957205 , 0.82070804, 0.59346336, 0.65202886]]],
[[[0.41022396, 0.20439872, 0.7788878 , 0.7441236 , 0.5444978 , 0.00788472],
[0.5472606 , 0.481694 , 0.46925876, 0.5813311 , 0.64415663, 0.8389334 ],
[0.17135678, 0.47058797, 0.2834146 , 0.44942266, 0.16756903, 0.79389435],
[0.47051483, 0.34046912, 0.2819316 , 0.5175778 , 0.23553902, 0.4132308 ],
[0.5121596 , 0.6237133 , 0.9840504 , 0.8675775 , 0.49094668, 0.85002035],
[0.581664 , 0.97341585, 0.70475924, 0.5216312 , 0.33597428, 0.7593697 ]],
[[0.679652 , 0.08742563, 0.02261288, 0.27154246, 0.981414 , 0.30914772],
[0.09616484, 0.58097595, 0.9733394 , 0.64117247, 0.4579779 , 0.6925007 ],
[0.12350222, 0.5206322 , 0.23698024, 0.29688078, 0.9932375 , 0.48632556],
[0.05530558, 0.76578796, 0.66535556, 0.08241215, 0.5602665 , 0.90204394],
[0.9179485 , 0.91073567, 0.12424771, 0.18917572, 0.21339233, 0.44755584],
[0.72981924, 0.93752587, 0.6127625 , 0.02918565, 0.47779012, 0.88612795]],
[[0.03818694, 0.30406582, 0.80373394, 0.50599027, 0.9713071 , 0.16725884],
[0.5032218 , 0.04433481, 0.25249803, 0.48833355, 0.18406294, 0.7099003 ],
[0.9440561 , 0.11289299, 0.60599774, 0.44368282, 0.19518486, 0.16271281],
[0.15853435, 0.58743405, 0.73365253, 0.22841512, 0.44820315, 0.9236626 ],
[0.13353214, 0.9354679 , 0.9777612 , 0.76347166, 0.74057686, 0.29004648],
[0.4158141 , 0.56161386, 0.5201583 , 0.79993165, 0.6347774 , 0.9721663 ]],
[[0.19261461, 0.6526871 , 0.03370767, 0.72260624, 0.75178456, 0.9399398 ],
[0.6065574 , 0.42754683, 0.40411153, 0.78077954, 0.5923424 , 0.4318598 ],
[0.91460335, 0.9665326 , 0.08398762, 0.8032205 , 0.5608861 , 0.31483963],
[0.7493038 , 0.65651405, 0.20920274, 0.6327621 , 0.24201426, 0.6544853 ],
[0.16082005, 0.7895618 , 0.17903596, 0.2983821 , 0.8366598 , 0.348259 ],
[0.3374399 , 0.8731679 , 0.02834134, 0.33149162, 0.78653264, 0.7132341 ]],
[[0.6922593 , 0.8939346 , 0.5691384 , 0.53982633, 0.66454524, 0.12616472],
[0.5884108 , 0.45895925, 0.17613263, 0.74695987, 0.9799729 , 0.5657117 ],
[0.48950258, 0.63516134, 0.00747594, 0.8122076 , 0.1506117 , 0.21299645],
[0.7009901 , 0.22770382, 0.8415593 , 0.46287054, 0.67083895, 0.68858695],
[0.8531233 , 0.85967845, 0.84275 , 0.09902667, 0.6279688 , 0.76174533],
[0.5766128 , 0.51148385, 0.74226665, 0.45196137, 0.8280846 , 0.53476274]]],
[[[0.28566122, 0.87688875, 0.1485776 , 0.95639867, 0.8438915 , 0.96141744],
[0.54520094, 0.14110866, 0.07373042, 0.3581322 , 0.69202536, 0.10168214],
[0.7455439 , 0.05000472, 0.8924527 , 0.2583454 , 0.1425813 , 0.855784 ],
[0.6541947 , 0.22047384, 0.9810437 , 0.5741504 , 0.14548405, 0.4896502 ],
[0.13715103, 0.39141792, 0.61320955, 0.27767017, 0.5284356 , 0.17350486],
[0.19341365, 0.97531956, 0.8318834 , 0.37160316, 0.7238379 , 0.01291561]],
[[0.56496066, 0.5212429 , 0.3204889 , 0.68900657, 0.06128938, 0.3333176 ],
[0.48012862, 0.92544425, 0.5731735 , 0.7195509 , 0.2762087 , 0.37950236],
[0.05860963, 0.62538576, 0.9775699 , 0.56462574, 0.46014598, 0.68356943],
[0.7168824 , 0.41424108, 0.2577312 , 0.28172058, 0.16046266, 0.6519358 ],
[0.746262 , 0.648357 , 0.05576426, 0.15360583, 0.23255034, 0.344435 ],
[0.62639844, 0.59286755, 0.53729135, 0.889832 , 0.29645783, 0.10305937]],
[[0.48251605, 0.28233823, 0.6499702 , 0.6284914 , 0.25747728, 0.18243913],
[0.05609114, 0.2930348 , 0.8891651 , 0.5348542 , 0.90964323, 0.83254254],
[0.5879414 , 0.7703508 , 0.26837718, 0.01652611, 0.99610007, 0.15305887],
[0.07274329, 0.9413541 , 0.518857 , 0.32513404, 0.26493835, 0.01535571],
[0.16069458, 0.23245251, 0.14707056, 0.55199337, 0.51093423, 0.33322877],
[0.731529 , 0.4762394 , 0.49159613, 0.97941405, 0.40173343, 0.19593783]],
[[0.5527623 , 0.19122677, 0.37565967, 0.06315999, 0.6828672 , 0.7013486 ],
[0.5508608 , 0.92400247, 0.96269643, 0.7352633 , 0.5247693 , 0.8426426 ],
[0.14131849, 0.8253389 , 0.9978187 , 0.3758548 , 0.67704916, 0.82998776],
[0.45079386, 0.08282179, 0.3336576 , 0.2680426 , 0.9221878 , 0.4033197 ],
[0.12779672, 0.7739208 , 0.8407233 , 0.1009656 , 0.91060174, 0.85020685],
[0.73088926, 0.35337085, 0.2527007 , 0.08587512, 0.5452069 , 0.15114406]],
[[0.2821649 , 0.8491644 , 0.9780137 , 0.48305815, 0.87107414, 0.12210486],
[0.4525052 , 0.16599348, 0.85464674, 0.44015196, 0.44207552, 0.7903828 ],
[0.05925375, 0.52477866, 0.7136335 , 0.65316206, 0.7403738 , 0.48292926],
[0.5372063 , 0.3605243 , 0.31577384, 0.86871135, 0.06562392, 0.2737712 ],
[0.3978005 , 0.8644439 , 0.77570826, 0.7248252 , 0.7313863 , 0.67723143],
[0.20217267, 0.74923635, 0.6945773 , 0.75215495, 0.71208835, 0.29732618]]]]
target: shape=(3, 6, 6), dtype=int64
[[[1, 0, 4, 3, 1, 4],
[1, 0, 1, 0, 4, 3],
[2, 0, 1, 0, 4, 4],
[0, 3, 2, 1, 2, 3],
[4, 0, 3, 1, 1, 3],
[4, 3, 1, 1, 1, 1]],
[[3, 3, 0, 2, 2, 0],
[2, 3, 4, 2, 1, 3],
[4, 4, 4, 4, 1, 2],
[0, 1, 2, 4, 3, 0],
[0, 1, 3, 4, 2, 3],
[4, 2, 0, 1, 4, 0]],
[[4, 0, 1, 2, 0, 0],
[4, 2, 3, 4, 4, 4],
[2, 2, 0, 4, 2, 3],
[3, 4, 0, 4, 1, 3],
[1, 2, 4, 3, 1, 1],
[1, 0, 3, 2, 4, 1]]]
Outputs:
loss: shape=(), dtype=float32
-0.54364794
test_nllloss_NCd1d2_reduction_mean
Node:
NegativeLogLikelihoodLoss(input, target) -> (loss)
Inputs:
input: shape=(3, 5, 6, 6), dtype=float32
[[[[0.2791793 , 0.0782572 , 0.95294726, 0.36463213, 0.48218882, 0.5095325 ],
[0.5262634 , 0.50839216, 0.88351506, 0.8486131 , 0.89167887, 0.59028065],
[0.75874037, 0.27047005, 0.5300784 , 0.8550195 , 0.6693838 , 0.04823562],
[0.4309389 , 0.71729165, 0.33501202, 0.18200307, 0.37022394, 0.31374878],
[0.7347469 , 0.9650063 , 0.7288427 , 0.96104556, 0.82715833, 0.14842318],
[0.25827014, 0.2537462 , 0.23612727, 0.86129826, 0.37777442, 0.9942684 ]],
[[0.33315718, 0.19296394, 0.3802804 , 0.20673217, 0.67977834, 0.7116501 ],
[0.9083265 , 0.09868561, 0.28680885, 0.48139992, 0.06523434, 0.64639276],
[0.37088686, 0.16493961, 0.6113739 , 0.52889454, 0.97826374, 0.01272396],
[0.78351873, 0.5607926 , 0.9523647 , 0.7603716 , 0.72592765, 0.79964346],
[0.0121439 , 0.48566195, 0.63182795, 0.05865463, 0.99212897, 0.6221819 ],
[0.97848326, 0.82712966, 0.4508238 , 0.2593454 , 0.4576246 , 0.7566552 ]],
[[0.28464824, 0.05819109, 0.4035891 , 0.77248996, 0.565261 , 0.19240957],
[0.1895844 , 0.1356038 , 0.95727974, 0.9802122 , 0.772179 , 0.08320677],
[0.54538184, 0.8003091 , 0.24352945, 0.39587972, 0.43212813, 0.35896915],
[0.5874635 , 0.23635507, 0.3148225 , 0.4841673 , 0.41710111, 0.1717736 ],
[0.01264928, 0.7818931 , 0.7777372 , 0.2504149 , 0.10940268, 0.95179826],
[0.497219 , 0.56898254, 0.515453 , 0.1122463 , 0.8320149 , 0.05443272]],
[[0.3206018 , 0.46773157, 0.7976832 , 0.01127819, 0.46024352, 0.2588881 ],
[0.55437917, 0.5035709 , 0.6969429 , 0.75567394, 0.6946666 , 0.7029872 ],
[0.5741874 , 0.88733655, 0.75174963, 0.1701418 , 0.8845582 , 0.12468164],
[0.7432356 , 0.22586146, 0.879409 , 0.56717277, 0.5239699 , 0.15829158],
[0.06664021, 0.8721073 , 0.10124656, 0.19566828, 0.05208798, 0.6968491 ],
[0.78506386, 0.8516339 , 0.08595482, 0.68455267, 0.6873686 , 0.95294505]],
[[0.15620683, 0.7959473 , 0.11025079, 0.8846369 , 0.55025953, 0.712778 ],
[0.99205965, 0.2094145 , 0.43621466, 0.60393035, 0.22592509, 0.8151603 ],
[0.2759671 , 0.7368134 , 0.57392436, 0.3083994 , 0.99844354, 0.8668948 ],
[0.9678507 , 0.2578763 , 0.9281025 , 0.7185785 , 0.04613404, 0.47228408],
[0.04183942, 0.7142255 , 0.94610995, 0.5967241 , 0.17609818, 0.23266196],
[0.21236898, 0.76540506, 0.4284315 , 0.8680652 , 0.27367952, 0.95647013]]],
[[[0.65827864, 0.40606305, 0.3877138 , 0.7266756 , 0.932431 , 0.92919207],
[0.44091848, 0.32044104, 0.13084127, 0.65437675, 0.8439923 , 0.902012 ],
[0.58369124, 0.02446377, 0.20286982, 0.9287377 , 0.5207791 , 0.08394437],
[0.44059336, 0.85741246, 0.6703293 , 0.46412906, 0.06254347, 0.7644966 ],
[0.42343003, 0.87624776, 0.37934503, 0.35901952, 0.16802303, 0.04431707],
[0.33575776, 0.11661933, 0.70539826, 0.89549595, 0.8371437 , 0.9234523 ]],
[[0.18305565, 0.27042925, 0.25951865, 0.99854493, 0.4709711 , 0.34388095],
[0.87398267, 0.38359 , 0.06584263, 0.5651029 , 0.536055 , 0.41048977],
[0.2786958 , 0.07453337, 0.6952931 , 0.867672 , 0.908686 , 0.4704681 ],
[0.3514179 , 0.28565815, 0.18673351, 0.8283173 , 0.5178384 , 0.9260682 ],
[0.49362832, 0.69955945, 0.7163196 , 0.5358491 , 0.28488883, 0.47494617],
[0.6101851 , 0.77603793, 0.3065829 , 0.9152363 , 0.9215796 , 0.21778683]],
[[0.9348368 , 0.03884739, 0.48756313, 0.8354601 , 0.21870236, 0.13200714],
[0.13070951, 0.11403192, 0.8151168 , 0.19616151, 0.25650555, 0.04281867],
[0.5611811 , 0.3539425 , 0.9884082 , 0.8009909 , 0.35757673, 0.50971615],
[0.24286364, 0.74436086, 0.18762068, 0.63853794, 0.441501 , 0.63673747],
[0.46628037, 0.30051014, 0.39060843, 0.54182726, 0.72866654, 0.26442984],
[0.31136853, 0.2599564 , 0.9451745 , 0.7316737 , 0.12647714, 0.86020845]],
[[0.58563155, 0.5514598 , 0.66862345, 0.22795694, 0.9715542 , 0.03769486],
[0.58265215, 0.9716192 , 0.6396115 , 0.8584228 , 0.52372664, 0.8462352 ],
[0.51160365, 0.43956006, 0.6088342 , 0.52850866, 0.97470313, 0.09771784],
[0.24162802, 0.7434005 , 0.73694587, 0.69967383, 0.14179246, 0.9906879 ],
[0.02183612, 0.7685833 , 0.29823375, 0.21806486, 0.38477564, 0.604636 ],
[0.7402738 , 0.5391243 , 0.63231087, 0.5839722 , 0.7298662 , 0.04180109]],
[[0.6708146 , 0.55149364, 0.56621176, 0.09796276, 0.09076948, 0.6929074 ],
[0.7880316 , 0.6111245 , 0.17467402, 0.78929925, 0.83681035, 0.12326957],
[0.8310676 , 0.2785713 , 0.42429322, 0.76889545, 0.10563157, 0.17344564],
[0.07081146, 0.10553911, 0.42595133, 0.8336052 , 0.7740566 , 0.5587859 ],
[0.515868 , 0.3052984 , 0.49054793, 0.67968863, 0.33314362, 0.38079056],
[0.84915257, 0.72020763, 0.6354398 , 0.7809291 , 0.8911825 , 0.01649929]]],
[[[0.44539157, 0.271962 , 0.02120955, 0.537274 , 0.21784435, 0.731334 ],
[0.5980546 , 0.56378484, 0.56939334, 0.03267145, 0.23166178, 0.8231926 ],
[0.06674415, 0.5633214 , 0.69346166, 0.11281566, 0.93391675, 0.90326315],
[0.1978126 , 0.93135935, 0.40748173, 0.06506742, 0.97731215, 0.7444713 ],
[0.39180437, 0.561196 , 0.09062265, 0.8527306 , 0.54126066, 0.7593274 ],
[0.5556468 , 0.5120465 , 0.3217776 , 0.19890015, 0.81325257, 0.5434968 ]],
[[0.69023514, 0.5139119 , 0.3942651 , 0.7502792 , 0.6213877 , 0.4797695 ],
[0.73279124, 0.28382564, 0.44958743, 0.5585285 , 0.07663163, 0.4126751 ],
[0.62614495, 0.89532655, 0.38816133, 0.95769507, 0.37769014, 0.43329513],
[0.01918989, 0.4352471 , 0.7186804 , 0.17773291, 0.6979465 , 0.60197407],
[0.8448846 , 0.42850757, 0.14461873, 0.4424231 , 0.2750491 , 0.60623896],
[0.93257254, 0.11860782, 0.22014326, 0.01099663, 0.45862532, 0.18664001]],
[[0.44174302, 0.61902696, 0.531304 , 0.41295657, 0.25422204, 0.08865714],
[0.5556932 , 0.01842448, 0.6821148 , 0.7752496 , 0.91651434, 0.49456903],
[0.40334648, 0.18527865, 0.8480911 , 0.28439566, 0.77583295, 0.15576011],
[0.47239128, 0.5838687 , 0.62120706, 0.0805577 , 0.3871996 , 0.83011657],
[0.5007399 , 0.51437896, 0.37014386, 0.40199307, 0.16422328, 0.49934357],
[0.38665125, 0.605922 , 0.1856197 , 0.42374814, 0.5976087 , 0.79294044]],
[[0.2742285 , 0.5291762 , 0.18082854, 0.7904427 , 0.5731948 , 0.97232306],
[0.93187773, 0.10569497, 0.6122854 , 0.26052278, 0.16537268, 0.11504976],
[0.73746425, 0.0423915 , 0.19026576, 0.84955966, 0.03448827, 0.6430249 ],
[0.7817692 , 0.8670722 , 0.06396239, 0.23834805, 0.97064626, 0.9229315 ],
[0.64354724, 0.9832791 , 0.02991555, 0.4105741 , 0.0540169 , 0.6367377 ],
[0.7095286 , 0.17920035, 0.46179053, 0.9460138 , 0.17739525, 0.6353844 ]],
[[0.0257481 , 0.35529482, 0.66367793, 0.02256784, 0.23239087, 0.6965343 ],
[0.22970155, 0.42778394, 0.31465375, 0.63315076, 0.34361777, 0.9702571 ],
[0.36672676, 0.4013087 , 0.7793176 , 0.5657045 , 0.900189 , 0.65760654],
[0.6251775 , 0.07255551, 0.8637154 , 0.11395106, 0.33788002, 0.33459485],
[0.2974533 , 0.97209144, 0.3897765 , 0.58394176, 0.8177625 , 0.93311185],
[0.43689594, 0.6326964 , 0.7523474 , 0.8794311 , 0.07773341, 0.04018371]]]]
target: shape=(3, 6, 6), dtype=int64
[[[1, 2, 0, 2, 3, 2],
[4, 1, 3, 3, 1, 2],
[4, 1, 0, 3, 4, 0],
[2, 3, 1, 0, 4, 2],
[2, 2, 2, 4, 3, 0],
[4, 2, 4, 2, 3, 3]],
[[3, 1, 0, 4, 3, 2],
[4, 2, 4, 2, 2, 2],
[0, 1, 0, 3, 1, 2],
[3, 2, 0, 2, 1, 2],
[3, 4, 4, 3, 2, 0],
[4, 0, 4, 3, 3, 0]],
[[3, 2, 0, 3, 4, 4],
[4, 1, 4, 1, 3, 1],
[2, 2, 4, 2, 1, 3],
[3, 1, 1, 2, 4, 3],
[2, 4, 4, 3, 0, 1],
[1, 2, 4, 3, 2, 3]]]
Outputs:
loss: shape=(), dtype=float32
-0.4584068
test_nllloss_NCd1d2_reduction_sum
Node:
NegativeLogLikelihoodLoss(input, target) -> (loss)
Attributes:
reduction = "sum"
Inputs:
input: shape=(3, 5, 6, 6), dtype=float32
[[[[1.34197429e-01, 7.14165270e-01, 5.88614762e-01, 8.57492268e-01,
8.52278531e-01, 1.34312898e-01],
[4.27871138e-01, 8.77392113e-01, 8.39298844e-01, 2.60540187e-01,
1.96676359e-01, 8.20363462e-01],
[6.02304041e-02, 4.64214712e-01, 2.16507036e-02, 1.31388828e-01,
7.17883885e-01, 5.46237528e-01],
[5.24243951e-01, 5.50207317e-01, 4.11540449e-01, 1.42436028e-01,
1.67516675e-02, 8.13571678e-04],
[1.35959193e-01, 5.09383440e-01, 2.20993564e-01, 1.66643888e-01,
6.30258143e-01, 7.64452875e-01],
[6.93697408e-02, 1.61839694e-01, 8.78197312e-01, 7.16443419e-01,
5.82814477e-02, 5.38006783e-01]],
[[4.02888477e-01, 7.49187350e-01, 8.79711807e-01, 3.62950951e-01,
5.97730100e-01, 7.93373704e-01],
[1.39271140e-01, 4.19563591e-01, 6.29037857e-01, 3.47157210e-01,
9.93517339e-01, 7.52151161e-02],
[3.10377538e-01, 1.52218491e-01, 6.45245373e-01, 2.60107845e-01,
6.53355002e-01, 1.37549624e-01],
[1.59094945e-01, 3.22221741e-02, 6.17347956e-01, 5.74881554e-01,
1.32991686e-01, 2.54231513e-01],
[5.30168474e-01, 8.77125084e-01, 4.82900858e-01, 5.27526617e-01,
7.87918329e-01, 2.32599750e-01],
[2.85763830e-01, 3.25527936e-01, 2.51764916e-02, 8.11847448e-01,
8.56396675e-01, 1.55243233e-01]],
[[3.12757283e-01, 1.69547349e-01, 4.51863706e-01, 2.17876285e-01,
1.85771778e-01, 4.63773161e-01],
[1.78800330e-01, 8.24692130e-01, 6.73792958e-01, 9.29204762e-01,
8.79909873e-01, 8.45465362e-01],
[1.44039970e-02, 9.68475223e-01, 4.89952356e-01, 8.25843513e-01,
2.75887907e-01, 4.37631831e-02],
[2.03215510e-01, 4.91159618e-01, 1.39745893e-02, 9.58715007e-02,
7.60637403e-01, 2.79948145e-01],
[4.57379401e-01, 9.31044340e-01, 8.17457795e-01, 1.94898963e-01,
3.40497673e-01, 2.87695378e-01],
[3.77770931e-01, 4.18664843e-01, 8.77520800e-01, 7.39177704e-01,
6.17343664e-01, 2.09298626e-01]],
[[3.68772268e-01, 3.16716909e-01, 2.40861297e-01, 1.00908369e-01,
8.05808544e-01, 7.24283993e-01],
[3.18034017e-03, 7.78334439e-01, 4.80576336e-01, 2.57523894e-01,
8.08265269e-01, 4.40545440e-01],
[1.85552701e-01, 1.81712553e-01, 1.15621924e-01, 2.93636084e-01,
8.59469295e-01, 1.00860484e-01],
[6.51548862e-01, 6.65151715e-01, 4.39528897e-02, 9.56930935e-01,
4.52412963e-01, 5.22393525e-01],
[6.99103102e-02, 5.20978868e-01, 4.68912184e-01, 6.87032580e-01,
8.59246969e-01, 8.32082272e-01],
[7.61639178e-01, 7.36854434e-01, 5.86079061e-01, 7.51029015e-01,
7.48161614e-01, 1.87436089e-01]],
[[8.14677656e-01, 5.47770679e-01, 4.63384300e-01, 4.66670096e-01,
1.89540029e-01, 7.85311341e-01],
[8.45303655e-01, 5.53571343e-01, 4.98180330e-01, 1.80597350e-01,
1.25550106e-01, 7.47931123e-01],
[7.10183620e-01, 8.66503537e-01, 2.94175327e-01, 3.85571837e-01,
5.11779070e-01, 3.35208714e-01],
[1.48279265e-01, 4.95677710e-01, 1.41640723e-01, 8.25422943e-01,
9.81229901e-01, 5.13641357e-01],
[2.73906797e-01, 3.04831564e-01, 8.72560501e-01, 5.95147848e-01,
3.50813210e-01, 3.75509746e-02],
[6.74609005e-01, 1.25776231e-01, 9.22541440e-01, 1.27294511e-01,
9.25736547e-01, 9.00703967e-01]]],
[[[7.02672184e-01, 9.61340904e-01, 7.97618628e-01, 3.48834872e-01,
1.15902990e-01, 6.29639864e-01],
[7.82383204e-01, 2.23727286e-01, 3.82920414e-01, 7.92005062e-01,
8.60855341e-01, 3.84653091e-01],
[5.18432319e-01, 6.85698628e-01, 5.51239133e-01, 9.07238200e-02,
5.59543371e-01, 2.36588806e-01],
[4.60960507e-01, 1.24473251e-01, 6.24202609e-01, 6.47637665e-01,
4.49481726e-01, 2.91731417e-01],
[2.29125991e-01, 3.90389383e-01, 9.74457085e-01, 5.18653691e-01,
3.06688339e-01, 7.57147670e-01],
[3.63198578e-01, 5.87683439e-01, 3.97926480e-01, 9.89747107e-01,
1.02854513e-01, 5.68144172e-02]],
[[4.40899074e-01, 2.28141755e-01, 9.62486446e-01, 5.93228877e-01,
3.83465320e-01, 6.58351302e-01],
[7.58731425e-01, 7.71927416e-01, 5.59835076e-01, 4.57888126e-01,
6.90481246e-01, 2.29844496e-01],
[3.27605367e-01, 6.62598982e-02, 6.44705594e-01, 3.21087867e-01,
1.00913540e-01, 2.54393332e-02],
[2.77366012e-01, 8.25496197e-01, 7.16360435e-02, 3.39968681e-01,
8.68177712e-01, 4.85940099e-01],
[5.94262838e-01, 9.72242534e-01, 7.74867892e-01, 9.29776073e-01,
8.63016069e-01, 4.19619322e-01],
[5.89426339e-01, 1.54395074e-01, 1.21734843e-01, 6.53611362e-01,
7.15671897e-01, 5.18369786e-02]],
[[9.76426125e-01, 8.69408906e-01, 9.66571152e-01, 3.58619094e-01,
2.55310591e-02, 2.66955942e-01],
[2.99580485e-01, 4.91830587e-01, 3.14235896e-01, 3.60981166e-01,
4.93815660e-01, 9.88775730e-01],
[1.65890709e-01, 9.11772549e-01, 8.91209900e-01, 3.52045953e-01,
7.70506620e-01, 3.94190848e-02],
[7.64718771e-01, 8.90634954e-01, 8.73708427e-01, 6.39225543e-01,
2.00744212e-01, 5.93133390e-01],
[2.90688664e-01, 6.84949219e-01, 7.94105768e-01, 2.97796607e-01,
4.89841044e-01, 7.03259766e-01],
[6.57194555e-01, 2.00442687e-01, 3.33672725e-02, 6.53994977e-01,
3.71866226e-01, 1.58714145e-01]],
[[2.22068518e-01, 7.53686607e-01, 1.90753192e-01, 5.54390609e-01,
6.74374327e-02, 5.94776496e-02],
[9.98944283e-01, 6.50341272e-01, 2.27569610e-01, 7.33680367e-01,
1.46118343e-01, 3.69254738e-01],
[8.41275573e-01, 6.35996580e-01, 4.71482337e-01, 9.11234617e-01,
1.17959522e-01, 2.93827087e-01],
[3.85898501e-01, 7.30428100e-02, 7.32624829e-01, 1.41410559e-01,
6.37233198e-01, 8.91515493e-01],
[5.80101132e-01, 1.24884717e-01, 1.86057210e-01, 6.27222240e-01,
9.11726728e-02, 6.06274784e-01],
[7.67254770e-01, 6.44978702e-01, 7.87182212e-01, 2.86583126e-01,
8.91990244e-01, 9.77660000e-01]],
[[2.92478770e-01, 3.68126601e-01, 1.00746557e-01, 7.65573740e-01,
2.55709201e-01, 1.66548565e-01],
[4.82637286e-01, 9.80963945e-01, 6.62702695e-02, 8.33468437e-01,
2.52157539e-01, 7.35657215e-01],
[1.20211855e-01, 4.85874444e-01, 7.05384374e-01, 4.29652125e-01,
2.79085815e-01, 7.46608496e-01],
[8.48613143e-01, 2.42466077e-01, 6.74505770e-01, 1.84845760e-01,
9.68305767e-01, 1.22312166e-01],
[4.42116827e-01, 4.22810465e-01, 4.72517729e-01, 2.98415929e-01,
1.55632615e-01, 3.25328887e-01],
[8.37073207e-01, 5.52459657e-01, 9.38699484e-01, 4.81303453e-01,
6.33218408e-01, 4.02030289e-01]]],
[[[9.80236411e-01, 3.74964774e-02, 9.43073034e-01, 4.58844304e-01,
9.40491259e-01, 6.50479734e-01],
[8.12659681e-01, 6.04877234e-01, 6.09222353e-01, 9.64390337e-02,
8.98192167e-01, 4.13539708e-01],
[7.50847101e-01, 1.94566742e-01, 5.20430148e-01, 2.56960541e-01,
5.38627088e-01, 5.06386876e-01],
[9.89350677e-01, 4.68012273e-01, 3.97786975e-01, 1.06691405e-01,
2.55581409e-01, 4.03103262e-01],
[5.55864215e-01, 6.25674546e-01, 1.34288192e-01, 7.35444129e-01,
3.77800643e-01, 1.62140742e-01],
[7.85414755e-01, 2.46059150e-01, 7.12929294e-02, 1.38761932e-02,
4.14289504e-01, 6.54081345e-01]],
[[6.19533241e-01, 2.57352471e-01, 5.70781566e-02, 2.08983228e-01,
4.48304236e-01, 6.61748707e-01],
[6.57949448e-01, 4.76555318e-01, 3.96182179e-01, 9.34745729e-01,
6.23265862e-01, 4.23658431e-01],
[9.93575454e-01, 4.72787231e-01, 9.66913760e-01, 2.24676386e-01,
2.92757750e-01, 9.93640959e-01],
[6.26472011e-02, 3.63960922e-01, 9.56679046e-01, 3.90767157e-01,
8.50745082e-01, 6.25235736e-01],
[3.63624513e-01, 1.24180585e-01, 6.11105025e-01, 6.00882292e-01,
8.25381815e-01, 8.44282568e-01],
[7.26552606e-01, 8.17624509e-01, 9.65079725e-01, 5.73951662e-01,
7.54647076e-01, 9.58176792e-01]],
[[9.81872261e-01, 5.45550704e-01, 8.79645348e-02, 1.20977625e-01,
3.80690843e-01, 4.54272687e-01],
[1.67026937e-01, 5.68404377e-01, 2.61511281e-02, 4.80586529e-01,
6.10783398e-01, 8.11200023e-01],
[2.81744629e-01, 8.27060282e-01, 7.54063427e-01, 6.70169760e-03,
6.90093458e-01, 3.48101258e-02],
[3.42333280e-02, 6.18225932e-01, 3.58563364e-01, 7.77413130e-01,
8.49943161e-01, 4.71052796e-01],
[6.96269631e-01, 8.12655866e-01, 9.01904404e-01, 1.05292007e-01,
5.72211295e-02, 9.86509144e-01],
[9.58498567e-02, 8.30698967e-01, 9.60717976e-01, 1.85736910e-01,
4.68718648e-01, 9.75180328e-01]],
[[6.65374339e-01, 2.09496003e-02, 7.66817391e-01, 9.37831759e-01,
8.22048485e-01, 8.16075802e-01],
[2.79489189e-01, 3.38392317e-01, 6.01852715e-01, 3.47926877e-02,
5.36681056e-01, 4.29649502e-01],
[7.27351665e-01, 1.75938398e-01, 3.71839434e-01, 8.58537197e-01,
3.29294533e-01, 3.42224985e-01],
[2.98342049e-01, 9.50470448e-01, 2.96104640e-01, 2.58314043e-01,
9.99228537e-01, 4.43636358e-01],
[3.45842332e-01, 3.96119058e-01, 7.20115960e-01, 5.71731985e-01,
2.72413433e-01, 4.40650612e-01],
[8.10297906e-01, 2.58371174e-01, 7.83258438e-01, 2.55259752e-01,
3.94610494e-01, 3.47770184e-01]],
[[8.11013103e-01, 2.98698664e-01, 5.14075905e-02, 6.48012221e-01,
8.33794296e-01, 6.81161880e-01],
[5.06056964e-01, 9.20432448e-01, 8.39348733e-01, 1.35960668e-01,
7.64859393e-02, 1.57787129e-01],
[3.50450397e-01, 6.33278489e-01, 8.98779035e-02, 5.67333758e-01,
7.50834107e-01, 1.21192217e-01],
[4.51376289e-01, 3.62247705e-01, 5.49840569e-01, 9.78819311e-01,
7.97398508e-01, 1.43236861e-01],
[9.56110716e-01, 1.96120694e-01, 7.04454780e-01, 1.91896692e-01,
9.58231807e-01, 3.67037892e-01],
[9.56222937e-02, 9.06347036e-01, 7.31857121e-01, 7.82588959e-01,
1.42725214e-01, 5.61678350e-01]]]]
target: shape=(3, 6, 6), dtype=int64
[[[0, 1, 3, 2, 0, 2],
[4, 1, 3, 1, 0, 2],
[1, 3, 4, 2, 1, 1],
[0, 4, 3, 1, 1, 3],
[1, 3, 3, 4, 1, 1],
[4, 2, 0, 1, 4, 0]],
[[0, 4, 1, 2, 0, 3],
[0, 3, 1, 2, 0, 3],
[3, 4, 0, 1, 2, 1],
[1, 2, 3, 3, 3, 0],
[3, 2, 1, 1, 2, 2],
[3, 3, 3, 4, 1, 2]],
[[3, 4, 3, 1, 0, 4],
[4, 4, 4, 2, 0, 3],
[2, 0, 1, 2, 2, 3],
[1, 0, 3, 1, 3, 1],
[1, 2, 0, 4, 3, 2],
[4, 1, 1, 4, 2, 1]]]
Outputs:
loss: shape=(), dtype=float32
-57.517365
test_nllloss_NCd1d2_with_weight
Node:
NegativeLogLikelihoodLoss(input, target, weight) -> (loss)
Attributes:
reduction = "none"
Inputs:
input: shape=(3, 5, 6, 6), dtype=float32
[[[[8.01177144e-01, 7.63605535e-01, 1.03485033e-01, 9.27377820e-01,
4.66371467e-03, 3.15935791e-01],
[3.07097673e-01, 3.06444943e-01, 6.49045706e-01, 7.19587147e-01,
4.64581609e-01, 9.01556730e-01],
[5.42220891e-01, 3.65642369e-01, 6.83514655e-01, 4.61441368e-01,
5.00067711e-01, 2.10097581e-01],
[3.05391312e-01, 3.55669893e-02, 5.74433506e-01, 9.86848492e-03,
1.15608856e-01, 5.11893451e-01],
[7.30822146e-01, 7.62744725e-01, 5.95101714e-01, 6.61435366e-01,
6.90428615e-01, 5.17541826e-01],
[6.12327278e-01, 6.59467876e-01, 7.84578994e-02, 7.29886368e-02,
9.76846516e-01, 4.39053290e-02]],
[[3.06694776e-01, 3.33835751e-01, 3.64582360e-01, 8.31517696e-01,
6.44233882e-01, 6.30859435e-01],
[6.36249125e-01, 8.65702868e-01, 2.35082433e-02, 5.17116666e-01,
6.79139495e-01, 3.35674793e-01],
[3.77585679e-01, 3.52234423e-01, 2.08978802e-01, 8.36499572e-01,
4.60547268e-01, 2.49022514e-01],
[3.64909530e-01, 8.24468076e-01, 1.43520711e-02, 2.67205238e-01,
8.66685510e-01, 3.41423094e-01],
[9.18449461e-01, 3.18463176e-01, 7.65931249e-01, 5.25773108e-01,
1.24147080e-01, 9.06051815e-01],
[8.05278122e-01, 1.82420909e-01, 7.98192382e-01, 1.23485580e-01,
2.25734130e-01, 6.22279048e-01]],
[[1.34264931e-01, 5.25004804e-01, 4.63458121e-01, 6.63724601e-01,
2.96209138e-02, 7.43112862e-01],
[8.51278007e-02, 8.92269984e-02, 9.25450981e-01, 7.70485550e-02,
7.89343834e-01, 7.75406241e-01],
[8.77989054e-01, 2.26909027e-01, 5.64513564e-01, 9.26505029e-01,
6.25054836e-01, 2.48659357e-01],
[8.10703099e-01, 4.58570451e-01, 7.78740644e-01, 8.44916761e-01,
5.96176863e-01, 6.41489446e-01],
[8.30622554e-01, 5.98487616e-01, 4.86935884e-01, 1.62693664e-01,
7.33367085e-01, 1.26707271e-01],
[5.49485564e-01, 5.36691844e-01, 8.06143999e-01, 4.61778283e-01,
7.71721363e-01, 6.64734364e-01]],
[[3.60903114e-01, 1.16005935e-01, 1.34974718e-01, 9.72594202e-01,
6.42018318e-01, 1.20916717e-01],
[6.09885037e-01, 6.38651609e-01, 9.65243459e-01, 8.59445095e-01,
8.60563815e-01, 6.21514320e-01],
[3.29824656e-01, 3.89733732e-01, 5.09257913e-01, 4.30071533e-01,
6.14598334e-01, 8.74887645e-01],
[9.79538262e-01, 3.60294521e-01, 1.70284361e-02, 6.37573183e-01,
5.47098517e-01, 2.91666090e-01],
[9.26957846e-01, 6.64116621e-01, 4.49887186e-01, 5.21352232e-01,
7.74785817e-01, 7.31768608e-01],
[6.47806287e-01, 4.75355476e-01, 3.78488719e-01, 8.85180771e-01,
5.28701395e-03, 7.62073398e-01]],
[[9.43182766e-01, 3.94175023e-01, 9.50187564e-01, 4.29446608e-01,
4.92540300e-01, 8.44788611e-01],
[7.12226748e-01, 6.53137982e-01, 7.17047632e-01, 2.69607842e-01,
1.00720553e-02, 2.75696516e-01],
[3.30695748e-01, 2.14092582e-01, 1.01301081e-01, 3.64244998e-01,
5.64373791e-01, 7.59251952e-01],
[6.68279707e-01, 7.36751258e-02, 4.74414676e-01, 8.69236052e-01,
3.69684219e-01, 1.88219771e-01],
[3.62841725e-01, 3.32695246e-01, 6.53515100e-01, 4.90311325e-01,
7.91714191e-01, 9.63152885e-01],
[7.95672119e-01, 9.86546636e-01, 9.16722044e-02, 7.28945434e-01,
7.86719978e-01, 5.19903541e-01]]],
[[[9.28311169e-01, 3.09396088e-01, 8.00089478e-01, 5.71075499e-01,
5.76428413e-01, 6.07464433e-01],
[2.63778325e-02, 4.84942287e-01, 4.89113033e-01, 9.25928354e-01,
5.24262905e-01, 7.76885390e-01],
[1.59171354e-02, 8.44665706e-01, 6.75158024e-01, 7.84844041e-01,
5.56541681e-01, 2.54889578e-01],
[3.90779406e-01, 1.70546561e-01, 8.05384398e-01, 3.89005214e-01,
9.84147787e-01, 7.30664670e-01],
[3.82455707e-01, 8.50089192e-02, 3.59488070e-01, 1.53180286e-01,
4.81719673e-01, 7.74060249e-01],
[9.59294140e-01, 8.60506356e-01, 3.12684089e-01, 7.12553382e-01,
9.43515301e-01, 7.50469029e-01]],
[[7.16343045e-01, 1.46595299e-01, 6.61470890e-01, 2.54975677e-01,
6.56835079e-01, 7.57878661e-01],
[6.79457605e-01, 2.05885917e-01, 7.07738459e-01, 9.27945971e-01,
4.74221647e-01, 5.20123363e-01],
[7.04763591e-01, 5.42198539e-01, 9.14537668e-01, 7.89005756e-02,
3.91146064e-01, 9.17273998e-01],
[2.95310199e-01, 8.16572189e-01, 2.90985405e-01, 6.86841130e-01,
8.84561360e-01, 8.25501502e-01],
[8.27831805e-01, 7.41811752e-01, 2.17938185e-01, 8.59486982e-02,
3.18669528e-01, 3.77413422e-01],
[6.24798238e-01, 7.50250697e-01, 1.04879491e-01, 3.85793904e-03,
4.52677220e-01, 7.41122603e-01]],
[[6.54932976e-01, 7.97100086e-03, 1.70887336e-01, 2.90971603e-02,
9.53917742e-01, 8.72688890e-01],
[9.57435966e-01, 3.65027994e-01, 4.91490811e-01, 3.87461245e-01,
2.33303219e-01, 1.70322254e-01],
[3.19162101e-01, 9.35035765e-01, 7.78135002e-01, 9.03650582e-01,
4.19475697e-02, 1.60117261e-02],
[5.46935081e-01, 1.07962146e-01, 2.34012306e-01, 9.76338327e-01,
6.34975433e-01, 3.89715731e-02],
[1.48538575e-01, 2.97403425e-01, 7.77547598e-01, 1.03278237e-03,
2.85772383e-01, 7.02665746e-01],
[3.19184512e-01, 2.36989006e-01, 5.60630202e-01, 6.05675936e-01,
8.13314795e-01, 3.39015037e-01]],
[[8.13985109e-01, 6.40882134e-01, 2.12464541e-01, 6.42959714e-01,
6.70342684e-01, 5.26074469e-01],
[1.75701872e-01, 5.48389591e-02, 1.77816048e-01, 8.19771826e-01,
3.64995241e-01, 1.41832270e-02],
[8.95361960e-01, 2.75691479e-01, 5.59974372e-01, 4.84341890e-01,
9.29880023e-01, 9.12777066e-01],
[6.82844162e-01, 4.30457741e-01, 8.09436083e-01, 7.43807137e-01,
3.43629688e-01, 7.24253833e-01],
[1.87358186e-01, 8.51267755e-01, 6.21484697e-01, 5.05694628e-01,
1.80237070e-01, 5.96568525e-01],
[1.16006620e-02, 6.43063843e-01, 2.31562629e-01, 8.79549861e-01,
7.84054101e-01, 1.55980885e-01]],
[[2.21089706e-01, 7.38617122e-01, 3.46250594e-01, 2.66465127e-01,
4.27867882e-02, 3.26288819e-01],
[3.22105527e-01, 5.21070421e-01, 8.39194477e-01, 5.32176614e-01,
7.51793325e-01, 6.49300635e-01],
[5.96939266e-01, 1.95573062e-01, 7.09223509e-01, 3.66975456e-01,
2.23930284e-01, 9.40767825e-01],
[4.74952221e-01, 2.25457788e-01, 6.00392401e-01, 1.67767584e-01,
4.82427567e-01, 8.59783590e-01],
[1.10885426e-01, 8.58214140e-01, 2.61902899e-01, 7.15521753e-01,
5.85677475e-02, 4.29449826e-01],
[5.61944604e-01, 5.41936874e-01, 5.06717801e-01, 8.31622958e-01,
3.08105528e-01, 5.16831160e-01]]],
[[[9.15362835e-01, 9.03059781e-01, 9.24179494e-01, 4.90578741e-01,
3.02029133e-01, 2.97584862e-01],
[4.64566231e-01, 4.58840936e-01, 7.87554801e-01, 4.65611100e-01,
5.64764440e-01, 1.70574516e-01],
[9.75358725e-01, 5.08832633e-01, 4.48162496e-01, 7.94687986e-01,
4.13305014e-02, 3.83902848e-01],
[5.94075561e-01, 4.57845002e-01, 4.81660157e-01, 1.76857501e-01,
8.79619479e-01, 2.30358958e-01],
[8.32768083e-01, 8.30553845e-02, 3.89691919e-01, 3.88595998e-01,
5.21471977e-01, 8.03001411e-03],
[6.29563391e-01, 7.81717360e-01, 5.55732548e-01, 1.75113916e-01,
8.11835766e-01, 7.09449708e-01]],
[[5.86843014e-01, 1.57871559e-01, 8.92056644e-01, 4.44827735e-01,
8.65706682e-01, 3.49133223e-01],
[8.35276783e-01, 2.72006273e-01, 2.67577320e-01, 4.94341791e-01,
1.32460505e-01, 9.35997009e-01],
[8.25089514e-01, 2.80887485e-01, 6.70318380e-02, 9.10210848e-01,
3.83862942e-01, 7.02868640e-01],
[6.79567337e-01, 9.01121736e-01, 4.54691142e-01, 1.69576138e-01,
2.89605319e-01, 1.62379950e-01],
[8.89209211e-01, 3.01408749e-02, 9.54883695e-01, 2.77353138e-01,
1.04468852e-01, 2.44088024e-01],
[2.96069920e-01, 9.46308225e-02, 5.47920406e-01, 9.25214469e-01,
5.70644379e-01, 6.83216512e-01]],
[[4.76029664e-01, 1.11403517e-01, 1.02324069e-01, 5.79631507e-01,
8.86737108e-01, 4.66451317e-01],
[3.78297418e-01, 1.97132230e-01, 1.88706383e-01, 3.46144110e-01,
9.24985826e-01, 6.56752944e-01],
[2.09514558e-01, 1.06611118e-01, 3.71802628e-01, 6.49812222e-02,
8.05631995e-01, 5.04492998e-01],
[2.15524733e-01, 1.02196455e-01, 2.11180925e-01, 1.83903351e-01,
8.58292520e-01, 5.66901326e-01],
[6.84998095e-01, 9.54120457e-01, 7.89345980e-01, 3.71458799e-01,
8.89822662e-01, 6.14690259e-02],
[7.45072484e-01, 8.51365864e-01, 9.19708550e-01, 8.88854802e-01,
6.76949546e-02, 2.59971738e-01]],
[[8.52611363e-01, 2.29179904e-01, 4.22946066e-02, 6.52666032e-01,
7.21912026e-01, 1.72998950e-01],
[3.95258479e-02, 7.83326447e-01, 4.64289337e-01, 1.90643862e-01,
1.86261207e-01, 9.88843083e-01],
[4.34789777e-01, 4.97206122e-01, 5.97170174e-01, 7.44795322e-01,
7.98584223e-01, 5.20571172e-01],
[2.32793495e-01, 8.27536881e-01, 2.09156722e-01, 2.96176404e-01,
9.63783920e-01, 3.60147506e-01],
[6.06120050e-01, 9.41396832e-01, 8.80059600e-01, 7.18214288e-02,
9.72622782e-02, 5.25465310e-01],
[3.33408147e-01, 7.35636771e-01, 5.53133011e-01, 4.68367897e-02,
6.39723539e-01, 4.57353860e-01]],
[[1.19918257e-01, 1.23185523e-01, 1.45271286e-01, 7.31526837e-02,
6.22462034e-01, 5.65565526e-01],
[8.59271348e-01, 4.07992810e-01, 5.54308593e-01, 2.35944256e-01,
4.52031970e-01, 9.67342115e-04],
[2.73489267e-01, 6.10482395e-01, 5.15517414e-01, 5.87132812e-01,
8.02766740e-01, 5.12502730e-01],
[2.79654920e-01, 4.81722564e-01, 2.53548265e-01, 8.51663888e-01,
7.35355020e-01, 8.07080939e-02],
[5.24377406e-01, 8.57586205e-01, 6.64604187e-01, 3.72297972e-01,
8.43239948e-02, 2.55997717e-01],
[4.56064939e-01, 5.59587240e-01, 6.43564522e-01, 3.29638153e-01,
7.76111484e-01, 3.83374304e-01]]]]
target: shape=(3, 6, 6), dtype=int64
[[[4, 0, 0, 3, 1, 0],
[2, 2, 0, 1, 0, 1],
[3, 2, 2, 4, 1, 1],
[3, 1, 1, 1, 3, 4],
[2, 3, 0, 4, 2, 0],
[2, 3, 3, 2, 2, 2]],
[[3, 3, 4, 4, 4, 4],
[4, 1, 3, 0, 4, 4],
[4, 2, 0, 3, 3, 0],
[3, 4, 1, 2, 1, 0],
[2, 0, 0, 4, 2, 0],
[1, 4, 1, 1, 4, 4]],
[[3, 2, 4, 4, 3, 2],
[0, 4, 0, 0, 2, 4],
[2, 3, 0, 4, 4, 1],
[1, 3, 0, 1, 4, 2],
[3, 4, 0, 3, 3, 2],
[2, 2, 2, 2, 1, 1]]]
weight: shape=(5,), dtype=float32
[0.56460476, 0.14507318, 0.37677294, 0.15684527, 0.61811566]
Outputs:
loss: shape=(3, 6, 6), dtype=float32
[[[-5.82996070e-01, -4.31135327e-01, -5.84281422e-02, -1.52546808e-01,
-9.34610516e-02, -1.78378850e-01],
[-3.20738517e-02, -3.36183198e-02, -3.66454303e-01, -7.50197545e-02,
-2.62304991e-01, -4.86974083e-02],
[-5.17314374e-02, -8.54931846e-02, -2.12693438e-01, -2.25145534e-01,
-6.68130517e-02, -3.61264870e-02],
[-1.53635949e-01, -1.19608201e-01, -2.08210060e-03, -3.87643129e-02,
-8.58098119e-02, -1.16341591e-01],
[-3.12956095e-01, -1.04163550e-01, -3.35997254e-01, -3.03069115e-01,
-2.76312888e-01, -2.92206585e-01],
[-2.07031295e-01, -7.45572597e-02, -5.93641661e-02, -1.73985556e-01,
-2.90763736e-01, -2.50453919e-01]],
[[-1.27669722e-01, -1.00519329e-01, -2.14022920e-01, -1.64706275e-01,
-2.64471844e-02, -2.01684237e-01],
[-1.99098468e-01, -2.98685245e-02, -2.78896056e-02, -5.22783577e-01,
-4.64695215e-01, -4.01342899e-01],
[-3.68977517e-01, -3.52296174e-01, -3.81197423e-01, -7.59667382e-02,
-1.45847291e-01, -1.43911868e-01],
[-1.07100882e-01, -1.39358997e-01, -4.22141775e-02, -3.67857873e-01,
-1.28326118e-01, -4.12536740e-01],
[-5.59653156e-02, -4.79964390e-02, -2.02968672e-01, -4.42275196e-01,
-1.07671298e-01, -4.37038094e-01],
[-9.06414613e-02, -3.34979683e-01, -1.52152004e-02, -5.59683482e-04,
-1.90444857e-01, -3.19461435e-01]],
[[-1.33728057e-01, -4.19738293e-02, -8.97944570e-02, -4.52168211e-02,
-1.13228485e-01, -1.75746232e-01],
[-2.62296319e-01, -2.52186745e-01, -4.44657177e-01, -2.62886256e-01,
-3.48509640e-01, -5.97929291e-04],
[-7.89394155e-02, -7.79844299e-02, -2.53034681e-01, -3.62915993e-01,
-4.96202707e-01, -1.01967387e-01],
[-9.85869914e-02, -1.29795253e-01, -2.71947622e-01, -2.46009491e-02,
-4.54534441e-01, -2.13593081e-01],
[-9.50670615e-02, -5.30087471e-01, -2.20021918e-01, -1.12648513e-02,
-1.52551280e-02, -2.31598653e-02],
[-2.80723155e-01, -3.20771635e-01, -3.46521288e-01, -3.34896445e-01,
-8.27851892e-02, -9.91163924e-02]]]
test_nllloss_NCd1d2_with_weight_reduction_mean
Node:
NegativeLogLikelihoodLoss(input, target, weight) -> (loss)
Inputs:
input: shape=(3, 5, 6, 6), dtype=float32
[[[[0.97348475, 0.5119394 , 0.15989715, 0.6432424 , 0.8014172 , 0.3131833 ],
[0.8595406 , 0.4309229 , 0.02767247, 0.8858242 , 0.6185681 , 0.9474547 ],
[0.67542 , 0.21066286, 0.21190435, 0.39211968, 0.39597967, 0.7585622 ],
[0.95950365, 0.4920159 , 0.7413557 , 0.00182572, 0.9729462 , 0.00163191],
[0.09177397, 0.69211686, 0.5329535 , 0.7588657 , 0.98810554, 0.30436707],
[0.7087419 , 0.55056375, 0.88743585, 0.01161001, 0.3352192 , 0.56156677]],
[[0.80942076, 0.3407394 , 0.8236157 , 0.7294939 , 0.0616146 , 0.43511143],
[0.03471996, 0.40401307, 0.09700771, 0.71227396, 0.29077935, 0.8392512 ],
[0.23093687, 0.96501756, 0.8983232 , 0.44071573, 0.7706613 , 0.899999 ],
[0.71279913, 0.69355685, 0.23216207, 0.99070376, 0.9643694 , 0.6467172 ],
[0.7087078 , 0.31799832, 0.7132891 , 0.40975782, 0.1246462 , 0.69512033],
[0.41871214, 0.2024303 , 0.44555283, 0.26265547, 0.8167045 , 0.44340524]],
[[0.3039824 , 0.20460258, 0.27516985, 0.5468095 , 0.5902012 , 0.63899314],
[0.83065164, 0.66122013, 0.904286 , 0.5292535 , 0.89702356, 0.3352623 ],
[0.24842797, 0.73705053, 0.1356945 , 0.43458125, 0.41947442, 0.3541941 ],
[0.01655752, 0.91250205, 0.4653055 , 0.4596915 , 0.05038611, 0.5995247 ],
[0.8189985 , 0.22102296, 0.5044806 , 0.40849322, 0.1485695 , 0.19395217],
[0.7214185 , 0.35305795, 0.54195035, 0.40689713, 0.39542273, 0.85155946]],
[[0.50920653, 0.97659105, 0.9101042 , 0.3067253 , 0.6465233 , 0.8349446 ],
[0.4921617 , 0.2598622 , 0.10891052, 0.32084447, 0.19647084, 0.6865915 ],
[0.17793028, 0.87128735, 0.6028038 , 0.17036566, 0.06062522, 0.03513656],
[0.4878798 , 0.20662534, 0.8377137 , 0.49243167, 0.6917402 , 0.93040055],
[0.6345641 , 0.40337637, 0.02860051, 0.29898396, 0.4149997 , 0.9689107 ],
[0.06800812, 0.9529022 , 0.6077009 , 0.4245111 , 0.15414245, 0.5193108 ]],
[[0.9359033 , 0.9512523 , 0.8988103 , 0.6062172 , 0.46213713, 0.7671194 ],
[0.19830307, 0.39076254, 0.78971505, 0.5653998 , 0.39603966, 0.5251275 ],
[0.37047702, 0.3591762 , 0.2721193 , 0.15421718, 0.18782906, 0.11178352],
[0.31400934, 0.2779403 , 0.9553498 , 0.6852252 , 0.4230094 , 0.6796773 ],
[0.99304736, 0.06979514, 0.9701328 , 0.54741144, 0.7129436 , 0.12839761],
[0.86340153, 0.24799044, 0.07032793, 0.3684513 , 0.3910037 , 0.13574928]]],
[[[0.24043389, 0.97713757, 0.87718344, 0.6827952 , 0.24765635, 0.3016061 ],
[0.27004084, 0.3622897 , 0.8817313 , 0.8018419 , 0.48506725, 0.32173863],
[0.77872974, 0.85546607, 0.21439274, 0.11053766, 0.65223235, 0.21411887],
[0.2888276 , 0.9619505 , 0.29576755, 0.4407346 , 0.02660526, 0.7882811 ],
[0.9801165 , 0.997725 , 0.54876256, 0.6381391 , 0.19360878, 0.8080072 ],
[0.9569596 , 0.8066887 , 0.46719387, 0.71707356, 0.5082129 , 0.28400052]],
[[0.7898505 , 0.19742817, 0.09685908, 0.9668253 , 0.78499514, 0.25371194],
[0.10408362, 0.12583022, 0.47007164, 0.6409188 , 0.23590215, 0.8131231 ],
[0.9335276 , 0.5878055 , 0.14618741, 0.31264782, 0.35282505, 0.6206363 ],
[0.78624487, 0.55283856, 0.6681995 , 0.18240805, 0.05853564, 0.21948706],
[0.67473906, 0.8383483 , 0.5439387 , 0.46399793, 0.41582063, 0.88650644],
[0.4917449 , 0.3141441 , 0.678688 , 0.08715461, 0.5475142 , 0.98768157]],
[[0.44395578, 0.17577156, 0.09284941, 0.73790723, 0.54225284, 0.02197297],
[0.029026 , 0.08319726, 0.4031272 , 0.7418335 , 0.2217676 , 0.28358355],
[0.10228324, 0.673797 , 0.11711115, 0.1430355 , 0.78475505, 0.11824784],
[0.7314124 , 0.96590966, 0.4889436 , 0.991068 , 0.7807057 , 0.87538445],
[0.16015169, 0.9245134 , 0.6277793 , 0.8254802 , 0.02650534, 0.9840501 ],
[0.20770228, 0.35078746, 0.2592898 , 0.41422644, 0.29530725, 0.23004934]],
[[0.29990783, 0.18168253, 0.9822384 , 0.14022902, 0.16916841, 0.17831461],
[0.5810127 , 0.29640815, 0.6058223 , 0.96013063, 0.23329194, 0.1651352 ],
[0.71223134, 0.8652762 , 0.1085539 , 0.36775512, 0.40334278, 0.27976617],
[0.25058043, 0.1739712 , 0.67917866, 0.40114018, 0.33323485, 0.41039017],
[0.7105719 , 0.32508534, 0.6069329 , 0.1429364 , 0.13650669, 0.21893191],
[0.37071052, 0.8413183 , 0.78638357, 0.28784335, 0.37983605, 0.5483273 ]],
[[0.04527135, 0.15260977, 0.6775392 , 0.19934341, 0.45744655, 0.49181515],
[0.60607207, 0.5933316 , 0.7509589 , 0.84307325, 0.5533959 , 0.40799114],
[0.08342166, 0.5267247 , 0.6115625 , 0.21466476, 0.4280942 , 0.64412504],
[0.5655212 , 0.8727796 , 0.13420133, 0.47394583, 0.96162033, 0.6093785 ],
[0.7411771 , 0.944948 , 0.7341757 , 0.7048322 , 0.78468263, 0.1916508 ],
[0.63468075, 0.7591204 , 0.9109062 , 0.16400772, 0.8524004 , 0.9406287 ]]],
[[[0.41758165, 0.59779793, 0.00703155, 0.46205708, 0.2877865 , 0.13878721],
[0.846701 , 0.3043684 , 0.01272792, 0.7848253 , 0.72175294, 0.27856126],
[0.75237525, 0.9952613 , 0.25983647, 0.58722043, 0.12033293, 0.39616987],
[0.0757844 , 0.0901281 , 0.12586255, 0.5120578 , 0.86790794, 0.53297025],
[0.9501718 , 0.97425944, 0.88186085, 0.315827 , 0.7229171 , 0.15050842],
[0.9644597 , 0.40058875, 0.11533111, 0.6191672 , 0.13759871, 0.89394695]],
[[0.52401435, 0.57838327, 0.62087405, 0.06723067, 0.16267578, 0.7251393 ],
[0.4734221 , 0.9478748 , 0.35900065, 0.11088087, 0.29512295, 0.61252886],
[0.651219 , 0.80392325, 0.74390125, 0.12868656, 0.20605351, 0.46760425],
[0.18239012, 0.33356634, 0.05828547, 0.03226401, 0.16744752, 0.14169416],
[0.7159316 , 0.21691473, 0.7819843 , 0.6265033 , 0.09725069, 0.03818446],
[0.560485 , 0.9501182 , 0.1325127 , 0.6922389 , 0.52558845, 0.35616425]],
[[0.74487525, 0.12091029, 0.8520683 , 0.26737514, 0.5059848 , 0.13607803],
[0.5946435 , 0.6196749 , 0.9021754 , 0.90885794, 0.33048686, 0.55064917],
[0.02285119, 0.14148006, 0.16322 , 0.05742278, 0.8996232 , 0.10258631],
[0.20176795, 0.36265236, 0.9270729 , 0.37819123, 0.4956008 , 0.19228312],
[0.11209253, 0.6398048 , 0.18090717, 0.74600506, 0.7184057 , 0.32120368],
[0.51893604, 0.34504753, 0.71098334, 0.5146294 , 0.03177672, 0.22589998]],
[[0.8018905 , 0.4935243 , 0.736848 , 0.1500627 , 0.370022 , 0.37881568],
[0.19180882, 0.36481717, 0.45790312, 0.93628335, 0.10195539, 0.48907888],
[0.20000002, 0.78781235, 0.20558484, 0.25536978, 0.33906218, 0.8743496 ],
[0.7293237 , 0.32667744, 0.01811695, 0.07993998, 0.24635358, 0.08961532],
[0.46208403, 0.07979501, 0.39467648, 0.7808712 , 0.72769934, 0.8022087 ],
[0.29438323, 0.6361449 , 0.13553901, 0.6726569 , 0.02053164, 0.8190409 ]],
[[0.5132628 , 0.93798876, 0.95596987, 0.09848465, 0.30549824, 0.06961743],
[0.13222744, 0.99644774, 0.09579933, 0.3506943 , 0.6781323 , 0.95696205],
[0.47558025, 0.5250128 , 0.4337633 , 0.2498129 , 0.19024204, 0.24228504],
[0.74909484, 0.9894457 , 0.25606444, 0.7749763 , 0.5358648 , 0.97120667],
[0.7954901 , 0.13589855, 0.17317976, 0.4055365 , 0.08861665, 0.12336256],
[0.85692096, 0.31331676, 0.3109082 , 0.70692456, 0.60748476, 0.4554675 ]]]]
target: shape=(3, 6, 6), dtype=int64
[[[3, 4, 4, 3, 2, 3],
[2, 2, 2, 2, 4, 1],
[1, 4, 3, 1, 3, 0],
[4, 3, 4, 0, 4, 4],
[1, 2, 2, 1, 2, 3],
[0, 1, 3, 4, 2, 3]],
[[2, 1, 4, 2, 3, 4],
[3, 4, 0, 1, 1, 1],
[1, 2, 2, 4, 4, 4],
[1, 2, 2, 1, 0, 1],
[3, 1, 1, 0, 2, 3],
[1, 3, 1, 1, 4, 2]],
[[2, 4, 2, 2, 3, 4],
[3, 4, 1, 3, 0, 4],
[2, 0, 3, 1, 0, 3],
[1, 4, 1, 3, 1, 0],
[1, 4, 3, 2, 2, 0],
[1, 3, 3, 1, 1, 0]]]
weight: shape=(5,), dtype=float32
[0.6821394 , 0.8568085 , 0.5337544 , 0.40504327, 0.4261777 ]
Outputs:
loss: shape=(), dtype=float32
-0.5043425
test_nllloss_NCd1d2_with_weight_reduction_sum
Node:
NegativeLogLikelihoodLoss(input, target, weight) -> (loss)
Attributes:
reduction = "sum"
Inputs:
input: shape=(3, 5, 6, 6), dtype=float32
[[[[0.4013047 , 0.3970153 , 0.11087366, 0.7551465 , 0.4817485 , 0.0918014 ],
[0.28809226, 0.6892695 , 0.38195518, 0.81602013, 0.15934297, 0.58225477],
[0.33720312, 0.9343559 , 0.4659181 , 0.9481779 , 0.28110647, 0.1500957 ],
[0.19402896, 0.8697823 , 0.94130874, 0.57231814, 0.73285997, 0.98334837],
[0.45574382, 0.47996017, 0.4646041 , 0.9818858 , 0.24709725, 0.22600569],
[0.24755092, 0.4656104 , 0.23952386, 0.9687715 , 0.76701367, 0.59498733]],
[[0.18466507, 0.8903487 , 0.90837634, 0.8701536 , 0.5459522 , 0.00211128],
[0.97240573, 0.04362651, 0.06448837, 0.9534261 , 0.42716947, 0.6281586 ],
[0.4953091 , 0.51716894, 0.11934119, 0.80553883, 0.58769405, 0.92661077],
[0.56090873, 0.59764963, 0.75592816, 0.27203232, 0.06768975, 0.97137994],
[0.44086695, 0.8780202 , 0.95523906, 0.19170697, 0.9756983 , 0.57538015],
[0.10639504, 0.01335062, 0.8062181 , 0.6352631 , 0.2123733 , 0.28241587]],
[[0.47051746, 0.62029815, 0.3792355 , 0.16044664, 0.15773565, 0.45254135],
[0.38797644, 0.18816166, 0.14784229, 0.28066045, 0.7619552 , 0.65399575],
[0.7711191 , 0.7582216 , 0.13618903, 0.59813094, 0.939812 , 0.07095353],
[0.81761444, 0.42966098, 0.09523812, 0.14472273, 0.667503 , 0.8391633 ],
[0.56546533, 0.6301532 , 0.88641536, 0.7508528 , 0.45530218, 0.37638664],
[0.71781856, 0.51216304, 0.14154263, 0.525094 , 0.5356496 , 0.2887713 ]],
[[0.42790076, 0.2073574 , 0.9603308 , 0.01967566, 0.68433166, 0.31886458],
[0.6740458 , 0.16961996, 0.42882922, 0.9202326 , 0.32046413, 0.5437441 ],
[0.3385276 , 0.11214697, 0.90774554, 0.5675474 , 0.8389813 , 0.6898738 ],
[0.64331275, 0.84632766, 0.6842567 , 0.34644836, 0.15894122, 0.36205125],
[0.37359515, 0.19129421, 0.63192266, 0.15880772, 0.00669427, 0.03437069],
[0.01486326, 0.602912 , 0.4450179 , 0.1005937 , 0.98752534, 0.8177263 ]],
[[0.7565375 , 0.07433986, 0.54108083, 0.5954937 , 0.5546337 , 0.43820804],
[0.6657308 , 0.64855367, 0.552683 , 0.73295265, 0.15362243, 0.38042235],
[0.5124211 , 0.31394848, 0.21931407, 0.4494445 , 0.10156791, 0.23183344],
[0.07838818, 0.8325092 , 0.6613369 , 0.2022837 , 0.5562864 , 0.7209516 ],
[0.10053801, 0.78637075, 0.37313375, 0.23972979, 0.8782829 , 0.7746664 ],
[0.9210203 , 0.96249723, 0.5526089 , 0.4428433 , 0.81263393, 0.76854986]]],
[[[0.78071725, 0.2931237 , 0.30292815, 0.39034995, 0.00707501, 0.83130497],
[0.31169978, 0.15194337, 0.82183427, 0.5219871 , 0.67765987, 0.07559704],
[0.5152522 , 0.10670569, 0.5142018 , 0.3277222 , 0.6500758 , 0.14381267],
[0.9106139 , 0.24532147, 0.576659 , 0.21681356, 0.725837 , 0.77333903],
[0.22928992, 0.4201254 , 0.53826267, 0.49518317, 0.16953024, 0.6462286 ],
[0.7037395 , 0.4486747 , 0.3132441 , 0.37434584, 0.451978 , 0.23630783]],
[[0.40172276, 0.28657076, 0.59837645, 0.3793012 , 0.6144322 , 0.7667108 ],
[0.74680555, 0.21837288, 0.82109493, 0.8275793 , 0.8884441 , 0.9458548 ],
[0.45080766, 0.95142 , 0.13381842, 0.1028692 , 0.77574927, 0.311581 ],
[0.3739594 , 0.5689156 , 0.34177956, 0.07486364, 0.62243736, 0.38363922],
[0.6158116 , 0.94735885, 0.42421377, 0.34469396, 0.48517337, 0.10114492],
[0.6775474 , 0.36853012, 0.9633742 , 0.11515426, 0.749399 , 0.8004429 ]],
[[0.6629832 , 0.8913671 , 0.08136306, 0.45124194, 0.47450364, 0.37811932],
[0.25222114, 0.62577254, 0.53646886, 0.5189352 , 0.7798437 , 0.4654819 ],
[0.72234356, 0.19242847, 0.16968037, 0.9273112 , 0.1138172 , 0.8260296 ],
[0.50193286, 0.32017273, 0.5159877 , 0.9528555 , 0.84851897, 0.06285714],
[0.17637585, 0.16907395, 0.3080207 , 0.49014547, 0.6498227 , 0.5246791 ],
[0.439698 , 0.02720689, 0.8052679 , 0.5998319 , 0.6075653 , 0.20325767]],
[[0.15124545, 0.3475248 , 0.08364368, 0.03079213, 0.54082364, 0.38392052],
[0.6936709 , 0.5660094 , 0.4495111 , 0.9980004 , 0.34569696, 0.67578936],
[0.82419884, 0.8072775 , 0.41049543, 0.8735582 , 0.05223537, 0.9377379 ],
[0.45036417, 0.505051 , 0.40938053, 0.8855304 , 0.05786501, 0.52656406],
[0.9705543 , 0.66268307, 0.3908546 , 0.5369771 , 0.76805145, 0.8608909 ],
[0.1704859 , 0.15334627, 0.5124575 , 0.8677984 , 0.40754768, 0.304431 ]],
[[0.75683564, 0.4967306 , 0.38539174, 0.48192915, 0.7675866 , 0.41201526],
[0.8895602 , 0.14135785, 0.86436474, 0.6410793 , 0.5687306 , 0.27508703],
[0.82365465, 0.835806 , 0.48293418, 0.41768438, 0.01721798, 0.26896685],
[0.951762 , 0.58986104, 0.04504093, 0.03030244, 0.66963935, 0.89817864],
[0.78341025, 0.23044078, 0.07922798, 0.43008578, 0.46142644, 0.06924326],
[0.27831015, 0.5792123 , 0.22860393, 0.24865806, 0.16367312, 0.7563592 ]]],
[[[0.37005335, 0.45672697, 0.33438763, 0.9178414 , 0.4947519 , 0.2798336 ],
[0.5231395 , 0.6946166 , 0.51612 , 0.36277723, 0.73992157, 0.09952625],
[0.52131075, 0.8309869 , 0.03024106, 0.35391653, 0.296579 , 0.15715791],
[0.5304148 , 0.71169883, 0.8863534 , 0.2011038 , 0.8929805 , 0.16912405],
[0.40199482, 0.39209208, 0.7460074 , 0.5097046 , 0.11780667, 0.49064642],
[0.7134414 , 0.42657006, 0.19218872, 0.9809756 , 0.46668208, 0.8009855 ]],
[[0.8165904 , 0.9784834 , 0.5152029 , 0.23062956, 0.2504422 , 0.54710406],
[0.9810213 , 0.7954977 , 0.34684303, 0.6894958 , 0.50036144, 0.7641257 ],
[0.32911083, 0.34512344, 0.01408181, 0.9637335 , 0.21584406, 0.4749031 ],
[0.08580771, 0.39370856, 0.47065952, 0.6467894 , 0.34388763, 0.77863866],
[0.47652668, 0.9694425 , 0.46005526, 0.77766293, 0.9634632 , 0.9952433 ],
[0.652595 , 0.02527869, 0.776526 , 0.11196084, 0.40276834, 0.4228831 ]],
[[0.18245013, 0.8470538 , 0.37278888, 0.06942263, 0.62500465, 0.5078575 ],
[0.36189035, 0.62913513, 0.14881758, 0.4650135 , 0.7862656 , 0.6874144 ],
[0.7042415 , 0.8961322 , 0.34896407, 0.12109165, 0.9351452 , 0.5250962 ],
[0.93998647, 0.74954665, 0.35015532, 0.3080745 , 0.38032815, 0.07650049],
[0.40203643, 0.35676235, 0.62121326, 0.32572237, 0.0745671 , 0.56987685],
[0.55720186, 0.03559315, 0.37640026, 0.942108 , 0.9963292 , 0.57560205]],
[[0.9876806 , 0.27220142, 0.58632845, 0.10896454, 0.13546832, 0.75738347],
[0.12912425, 0.7820839 , 0.03007862, 0.44842502, 0.45333987, 0.35652918],
[0.6785296 , 0.6230892 , 0.09354324, 0.53786993, 0.42405143, 0.11525071],
[0.0784323 , 0.0815201 , 0.03708005, 0.6025546 , 0.89309067, 0.14745215],
[0.01225519, 0.16991891, 0.7320455 , 0.5222681 , 0.7005411 , 0.28627923],
[0.0650361 , 0.86112165, 0.8255336 , 0.3695486 , 0.9951612 , 0.9051304 ]],
[[0.41806456, 0.64612067, 0.2143902 , 0.56741357, 0.07541871, 0.5191466 ],
[0.8338477 , 0.7335326 , 0.4852788 , 0.26905748, 0.99244756, 0.25780788],
[0.73756534, 0.95985514, 0.9952503 , 0.28927717, 0.4756137 , 0.90819544],
[0.06442978, 0.3967328 , 0.4607606 , 0.8526523 , 0.04978783, 0.05955614],
[0.4459087 , 0.2626613 , 0.36056405, 0.87213457, 0.3021107 , 0.6435625 ],
[0.809517 , 0.4232907 , 0.699235 , 0.7243094 , 0.9586676 , 0.6313344 ]]]]
target: shape=(3, 6, 6), dtype=int64
[[[1, 0, 2, 2, 3, 3],
[0, 0, 4, 3, 4, 2],
[4, 0, 0, 1, 1, 2],
[1, 2, 2, 2, 2, 2],
[4, 3, 4, 2, 4, 0],
[3, 1, 1, 4, 0, 3]],
[[4, 0, 1, 2, 0, 3],
[1, 0, 1, 4, 2, 1],
[3, 4, 3, 0, 1, 3],
[1, 2, 4, 2, 0, 0],
[0, 1, 2, 4, 3, 3],
[3, 2, 2, 3, 0, 0]],
[[3, 1, 2, 1, 2, 2],
[1, 1, 4, 0, 2, 1],
[3, 0, 0, 4, 0, 1],
[0, 3, 4, 0, 2, 0],
[2, 4, 3, 2, 1, 2],
[3, 4, 0, 4, 1, 2]]]
weight: shape=(5,), dtype=float32
[0.8544624 , 0.83503014, 0.26892975, 0.14746812, 0.29279226]
Outputs:
loss: shape=(), dtype=float32
-27.032667
test_nllloss_NCd1d2_with_weight_reduction_sum_ii
Node:
NegativeLogLikelihoodLoss(input, target, weight) -> (loss)
Attributes:
reduction = "sum"
ignore_index = 0
Inputs:
input: shape=(3, 5, 6, 6), dtype=float32
[[[[0.293392 , 0.46691987, 0.46043384, 0.83528733, 0.19984823, 0.99932456],
[0.37388688, 0.5279823 , 0.59922427, 0.6174218 , 0.72900975, 0.23258884],
[0.6158355 , 0.8602012 , 0.3098094 , 0.915204 , 0.39772046, 0.45310882],
[0.48665798, 0.8788963 , 0.20002343, 0.44307443, 0.25210574, 0.69166356],
[0.38869464, 0.8004122 , 0.36039427, 0.30640015, 0.20437801, 0.08493396],
[0.01161381, 0.2212139 , 0.21742915, 0.62323767, 0.38727838, 0.9957434 ]],
[[0.8868231 , 0.48778093, 0.91077465, 0.29684743, 0.20828865, 0.68231034],
[0.21250328, 0.9447616 , 0.46284196, 0.6183674 , 0.12882814, 0.8032322 ],
[0.0598308 , 0.06472649, 0.42892373, 0.03432678, 0.53901964, 0.5388303 ],
[0.7097169 , 0.2050336 , 0.42508215, 0.93981177, 0.89337337, 0.26672605],
[0.78679657, 0.0457444 , 0.03057856, 0.84076244, 0.11167074, 0.40795514],
[0.88678056, 0.995146 , 0.7598181 , 0.95401245, 0.23930864, 0.8672622 ]],
[[0.8681478 , 0.64831316, 0.71746176, 0.3909935 , 0.349607 , 0.96497136],
[0.02910823, 0.08741814, 0.702117 , 0.65502125, 0.7296395 , 0.68496305],
[0.71402633, 0.13621436, 0.38597688, 0.55262315, 0.27642128, 0.10913377],
[0.57623357, 0.1577376 , 0.7177828 , 0.8118084 , 0.8496695 , 0.15288383],
[0.33983284, 0.8204197 , 0.76162004, 0.9020282 , 0.6784081 , 0.04150401],
[0.92481893, 0.68335336, 0.35136688, 0.07241337, 0.16116498, 0.6095532 ]],
[[0.74626267, 0.2658199 , 0.35043135, 0.6338224 , 0.5515117 , 0.555737 ],
[0.42546305, 0.41464388, 0.79383355, 0.68962556, 0.10646709, 0.77116764],
[0.42435798, 0.6658634 , 0.36825028, 0.58854234, 0.9317654 , 0.54433435],
[0.4814703 , 0.9536759 , 0.23830892, 0.98139924, 0.08353735, 0.72410077],
[0.4197574 , 0.35323286, 0.16007644, 0.01468682, 0.9453992 , 0.2599808 ],
[0.11590858, 0.24258535, 0.57229537, 0.5292955 , 0.12985949, 0.81412953]],
[[0.99680054, 0.8351913 , 0.9981398 , 0.6445653 , 0.19618714, 0.63704216],
[0.60107714, 0.12852806, 0.7788927 , 0.7703491 , 0.2441085 , 0.47380647],
[0.2930674 , 0.6056007 , 0.82348806, 0.16570856, 0.5117988 , 0.74948496],
[0.1405419 , 0.8339905 , 0.41013044, 0.25033882, 0.39742753, 0.44793314],
[0.8347694 , 0.3013962 , 0.07850879, 0.59912837, 0.109571 , 0.3526473 ],
[0.67127156, 0.7360467 , 0.14307033, 0.9841732 , 0.7262615 , 0.9725492 ]]],
[[[0.54831076, 0.06052557, 0.5932121 , 0.9098251 , 0.7489197 , 0.35222006],
[0.56126475, 0.663235 , 0.2397056 , 0.9062746 , 0.12668686, 0.1191964 ],
[0.42301652, 0.6555197 , 0.2915298 , 0.11354141, 0.16649206, 0.77020586],
[0.7002169 , 0.71834105, 0.72355604, 0.29674083, 0.7318054 , 0.03868316],
[0.69611555, 0.54660034, 0.6556733 , 0.9723768 , 0.04780809, 0.38170025],
[0.60880536, 0.8621611 , 0.8033662 , 0.3736132 , 0.86548 , 0.51149565]],
[[0.2988529 , 0.6637754 , 0.14427866, 0.04901338, 0.38228974, 0.36042944],
[0.38604474, 0.9865151 , 0.28744373, 0.7455843 , 0.9227212 , 0.31990013],
[0.38610923, 0.19956328, 0.7829159 , 0.9491995 , 0.8448639 , 0.3508552 ],
[0.7175374 , 0.10247544, 0.17031442, 0.9063428 , 0.37868506, 0.8378499 ],
[0.98978746, 0.12615389, 0.52391 , 0.36472088, 0.5051763 , 0.12447859],
[0.37946528, 0.42333782, 0.9066048 , 0.27352285, 0.36477593, 0.64042675]],
[[0.4959197 , 0.47479123, 0.46756765, 0.35659415, 0.79890376, 0.87456036],
[0.82232195, 0.05873322, 0.7608349 , 0.64205986, 0.6337113 , 0.98706216],
[0.56797415, 0.95012474, 0.820625 , 0.4748174 , 0.5836522 , 0.5095621 ],
[0.46104667, 0.93046546, 0.02839108, 0.3610101 , 0.20835732, 0.9872015 ],
[0.1619244 , 0.99922043, 0.89219904, 0.46550664, 0.3112238 , 0.21020573],
[0.51752126, 0.24431476, 0.17492996, 0.905059 , 0.8020527 , 0.8573303 ]],
[[0.2266073 , 0.99229777, 0.5145975 , 0.53332645, 0.98362637, 0.053981 ],
[0.30563647, 0.26544565, 0.4553534 , 0.5645771 , 0.44772208, 0.13880616],
[0.15876889, 0.5490492 , 0.95236814, 0.3057438 , 0.44015235, 0.79046965],
[0.0530092 , 0.8531488 , 0.5381229 , 0.8443491 , 0.39676517, 0.7831394 ],
[0.9489705 , 0.6198716 , 0.27066904, 0.35017493, 0.7967041 , 0.14753635],
[0.57027084, 0.6170338 , 0.6200145 , 0.2644668 , 0.19307345, 0.9852855 ]],
[[0.22113563, 0.4953413 , 0.09952803, 0.03064591, 0.85604715, 0.18473418],
[0.37558585, 0.7633368 , 0.4648156 , 0.48548076, 0.06542318, 0.6211453 ],
[0.5511148 , 0.8701697 , 0.42963028, 0.1733714 , 0.08410899, 0.8954187 ],
[0.17272842, 0.6040236 , 0.7975827 , 0.09145884, 0.8232023 , 0.6576411 ],
[0.32153684, 0.8510296 , 0.5778461 , 0.36586422, 0.90022665, 0.6488124 ],
[0.7397669 , 0.5281788 , 0.7857742 , 0.7513648 , 0.8512662 , 0.10753822]]],
[[[0.65267414, 0.3801159 , 0.02609683, 0.51390284, 0.35808247, 0.09685417],
[0.80970824, 0.9896897 , 0.4131675 , 0.36216542, 0.2810533 , 0.4952808 ],
[0.8940096 , 0.37499958, 0.9320825 , 0.42907548, 0.7022108 , 0.2191051 ],
[0.7011991 , 0.33910382, 0.18415034, 0.93273115, 0.32085454, 0.53875804],
[0.0774866 , 0.8081057 , 0.34442466, 0.84152514, 0.53816235, 0.11971405],
[0.3149259 , 0.5265356 , 0.06453165, 0.8193499 , 0.8905133 , 0.706168 ]],
[[0.36820492, 0.6901862 , 0.7928481 , 0.42680654, 0.04739045, 0.28615648],
[0.01668531, 0.5092915 , 0.9533261 , 0.5323815 , 0.39805165, 0.9427442 ],
[0.97054183, 0.05124445, 0.8411092 , 0.07501428, 0.5461896 , 0.51291394],
[0.41980255, 0.23224498, 0.486921 , 0.92375857, 0.4302223 , 0.85440224],
[0.31323618, 0.09953674, 0.18160865, 0.16262795, 0.07605413, 0.00281114],
[0.38929114, 0.15763992, 0.42957678, 0.8921683 , 0.86956614, 0.6212955 ]],
[[0.8344448 , 0.51230955, 0.71072066, 0.58546895, 0.7587303 , 0.8141377 ],
[0.09488407, 0.03905534, 0.98932374, 0.8005486 , 0.551219 , 0.6595682 ],
[0.06866626, 0.868046 , 0.17264579, 0.32104036, 0.3678228 , 0.2706517 ],
[0.87024224, 0.8735205 , 0.09304468, 0.30224234, 0.6709194 , 0.9636696 ],
[0.5356098 , 0.81670684, 0.7370549 , 0.9614557 , 0.04653791, 0.3837777 ],
[0.09624895, 0.97150725, 0.28792822, 0.40853277, 0.30602998, 0.41257924]],
[[0.54872894, 0.41987443, 0.62115955, 0.7366784 , 0.6532367 , 0.98806953],
[0.06889005, 0.5357755 , 0.26323277, 0.37605187, 0.11634498, 0.8334023 ],
[0.403639 , 0.28101864, 0.24378003, 0.590288 , 0.6687918 , 0.6281293 ],
[0.06251447, 0.8466492 , 0.62234294, 0.6508858 , 0.31853703, 0.8989188 ],
[0.31085557, 0.16465566, 0.11326303, 0.9708181 , 0.7914899 , 0.8199967 ],
[0.43106934, 0.02601939, 0.79459137, 0.5833508 , 0.41428405, 0.24852516]],
[[0.64818156, 0.9432568 , 0.29501483, 0.10499699, 0.7672828 , 0.82641476],
[0.055166 , 0.68343145, 0.5208731 , 0.17184936, 0.40067983, 0.76468956],
[0.0426169 , 0.30382788, 0.4294721 , 0.10946205, 0.00526664, 0.03149889],
[0.78824645, 0.7326754 , 0.6804339 , 0.35741788, 0.0280332 , 0.925415 ],
[0.8274706 , 0.7611572 , 0.08345794, 0.20351507, 0.27192938, 0.6613701 ],
[0.57217216, 0.88877654, 0.864316 , 0.15062906, 0.25975662, 0.53252816]]]]
target: shape=(3, 6, 6), dtype=int64
[[[0, 4, 2, 0, 1, 1],
[2, 3, 2, 4, 2, 0],
[4, 0, 2, 4, 1, 1],
[0, 4, 2, 1, 1, 1],
[2, 1, 1, 0, 4, 4],
[3, 3, 1, 1, 4, 2]],
[[2, 2, 4, 4, 4, 0],
[3, 3, 4, 4, 0, 4],
[4, 1, 0, 0, 0, 2],
[3, 3, 4, 2, 0, 2],
[3, 1, 2, 2, 2, 1],
[1, 4, 4, 0, 0, 0]],
[[1, 3, 3, 0, 1, 0],
[3, 1, 4, 3, 3, 3],
[2, 2, 4, 1, 1, 3],
[3, 1, 0, 3, 4, 4],
[1, 4, 1, 2, 1, 2],
[2, 2, 3, 1, 1, 4]]]
weight: shape=(5,), dtype=float32
[0.16623692, 0.07862709, 0.26315382, 0.07697471, 0.2946333 ]
Outputs:
loss: shape=(), dtype=float32
-8.310082
test_nllloss_NCd1d2d3_none_no_weight_negative_ii
Node:
NegativeLogLikelihoodLoss(input, target) -> (loss)
Attributes:
reduction = "none"
ignore_index = -5
Inputs:
input: shape=(3, 5, 6, 6, 5), dtype=float32
[[[[[9.00504649e-01, 5.05468726e-01, 2.83250026e-02, 8.86211336e-01,
4.28621083e-01],
[1.43582597e-02, 2.89226681e-01, 2.11687014e-02, 3.58723640e-01,
9.27352011e-01],
[9.59665775e-01, 8.75630498e-01, 1.49998933e-01, 8.46253693e-01,
6.68252289e-01],
[8.98262322e-01, 8.33157301e-01, 1.42521173e-01, 6.14191055e-01,
6.76527083e-01],
[2.38214284e-02, 9.17064667e-01, 1.06892688e-02, 7.95322180e-01,
3.04899156e-01],
[7.98662841e-01, 9.52107310e-01, 5.44726193e-01, 7.95126617e-01,
1.58610329e-01]],
[[2.93647856e-01, 6.75463319e-01, 1.30846888e-01, 6.41613603e-01,
2.12400541e-01],
[4.75181371e-01, 5.15107453e-01, 5.01713574e-01, 1.26067549e-01,
5.57741933e-02],
[7.79811859e-01, 7.34912872e-01, 1.39749110e-01, 7.66084671e-01,
5.46057969e-02],
[1.10077500e-01, 3.87768485e-02, 3.24650377e-01, 4.76837486e-01,
2.49158442e-01],
[3.54295224e-02, 4.99965847e-02, 2.26716340e-01, 8.74004662e-01,
8.87982428e-01],
[7.70000696e-01, 6.63055778e-01, 3.59235227e-01, 7.39787042e-01,
3.95426780e-01]],
[[8.37028503e-01, 6.09455228e-01, 2.88868636e-01, 7.37377822e-01,
3.98417562e-01],
[7.15201080e-01, 5.57657778e-01, 1.86919957e-01, 3.39032173e-01,
6.46405935e-01],
[2.05464885e-01, 9.65174437e-02, 4.73090976e-01, 6.50900081e-02,
6.64240777e-01],
[1.61585569e-01, 1.80577770e-01, 1.69298634e-01, 3.77256930e-01,
4.30033654e-01],
[7.93458760e-01, 1.88311890e-01, 3.44728976e-01, 8.06847334e-01,
3.96749424e-03],
[7.82411098e-01, 2.51389772e-01, 9.94982481e-01, 4.26799119e-01,
3.54386806e-01]],
[[2.21781597e-01, 9.64255810e-01, 1.34401634e-01, 8.13617885e-01,
8.72852877e-02],
[1.29135728e-01, 3.74446183e-01, 9.67770278e-01, 9.26279545e-01,
2.88909286e-01],
[3.96764696e-01, 4.76467401e-01, 9.02735829e-01, 2.15956360e-01,
5.97611606e-01],
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6.97287858e-01],
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4.86063302e-01],
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6.44657493e-01]],
[[3.65343243e-01, 9.03889179e-01, 1.03830725e-01, 8.11839998e-01,
3.17124091e-02],
[8.34744096e-01, 6.17288411e-01, 9.07985091e-01, 3.94542843e-01,
6.26859009e-01],
[5.68382800e-01, 3.43035758e-01, 5.88176787e-01, 2.16734737e-01,
1.75531909e-01],
[8.56070280e-01, 3.66481766e-02, 6.44774809e-02, 7.68030465e-01,
3.78952831e-01],
[2.76605368e-01, 9.79008079e-01, 4.23022479e-01, 6.61055982e-01,
5.77766001e-01],
[2.19503671e-01, 5.87870359e-01, 4.81346905e-01, 1.37610346e-01,
6.51219368e-01]],
[[4.48301852e-01, 7.03935742e-01, 5.61118543e-01, 1.73322663e-01,
5.33213206e-02],
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2.79087573e-01],
[4.12066460e-01, 4.67099428e-01, 9.04138207e-01, 3.72153938e-01,
1.51487753e-01],
[1.51269898e-01, 1.46553544e-02, 9.66682136e-01, 2.35216767e-01,
8.39652717e-01],
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5.96544504e-01],
[5.74175954e-01, 6.91551745e-01, 1.57717645e-01, 2.57162094e-01,
7.32180238e-01]]],
[[[1.00284085e-01, 4.29789871e-01, 9.25509274e-01, 9.32385206e-01,
9.28535044e-01],
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4.60155308e-01],
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7.46482909e-01],
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5.19030929e-01],
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9.84754562e-01],
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8.78064513e-01]],
[[5.88036239e-01, 5.31987011e-01, 1.35362729e-01, 6.85680747e-01,
2.43975267e-01],
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1.00109957e-01],
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2.64266849e-01]],
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2.30734702e-02],
[2.50864744e-01, 8.69866669e-01, 4.88556385e-01, 9.54952836e-02,
8.71439576e-01],
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[[2.39951849e-01, 7.41300359e-02, 2.30229542e-01, 8.89944196e-01,
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[3.43153447e-01, 1.82878263e-02, 8.51373315e-01, 2.52640694e-01,
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[[7.86113262e-01, 2.48041943e-01, 3.93220723e-01, 8.66297781e-01,
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[3.23789388e-01, 5.25848627e-01, 9.47379351e-01, 7.66361833e-01,
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[[3.85339677e-01, 6.48234606e-01, 8.88333246e-02, 2.52143443e-02,
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[4.57582980e-01, 4.33856845e-01, 3.22103739e-01, 1.67767048e-01,
6.85974881e-02],
[5.85557520e-01, 2.23694175e-01, 5.74738622e-01, 2.39521369e-01,
2.10413635e-01]]],
[[[5.54305434e-01, 1.60905138e-01, 6.58464968e-01, 7.93300688e-01,
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[6.68024182e-01, 2.09077924e-01, 2.08406746e-01, 2.98838228e-01,
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3.64861399e-01],
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6.92889541e-02],
[5.11289835e-01, 1.45188183e-01, 4.78220195e-01, 7.93958664e-01,
8.58441353e-01]],
[[7.26107538e-01, 1.49415836e-01, 5.44953525e-01, 7.57530868e-01,
3.32379043e-01],
[9.79940712e-01, 9.24168527e-02, 4.96487975e-01, 9.68202889e-01,
6.98742867e-01],
[8.43763351e-01, 2.15375394e-01, 7.69616544e-01, 1.71021283e-01,
1.28024835e-02],
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6.04989111e-01],
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1.96243316e-01],
[8.86031762e-02, 1.37289956e-01, 3.92667353e-01, 1.52406143e-02,
3.43834430e-01]],
[[4.88360703e-01, 8.00007820e-01, 2.46881977e-01, 4.38700140e-01,
6.97106659e-01],
[7.78508961e-01, 7.83014476e-01, 2.68045068e-01, 6.80213332e-01,
5.47318757e-01],
[4.05568719e-01, 4.08775240e-01, 2.46279314e-01, 7.65152693e-01,
5.15415728e-01],
[5.72889149e-01, 1.75342530e-01, 1.77636519e-01, 9.20463324e-01,
7.65420675e-01],
[4.36806470e-01, 3.99793744e-01, 9.24780488e-01, 2.82044202e-01,
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5.22331178e-01]],
[[5.65580785e-01, 5.93177617e-01, 1.34989381e-01, 2.40459889e-01,
9.83607113e-01],
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5.81427395e-01],
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[1.32622153e-01, 2.59323955e-01, 2.27079511e-01, 8.40467095e-01,
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[[5.71258783e-01, 3.85196358e-01, 6.62562251e-01, 9.10470784e-01,
1.97879393e-02],
[5.87901294e-01, 2.81569570e-01, 2.97802329e-01, 1.52990639e-01,
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[8.64300072e-01, 8.92261505e-01, 7.44050920e-01, 6.21317506e-01,
4.59330440e-01],
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4.24120843e-01],
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4.02794898e-01],
[4.02305610e-02, 8.68112862e-01, 7.23456442e-02, 5.15436828e-01,
2.27904543e-01]],
[[7.35455215e-01, 2.36638919e-01, 8.55702877e-01, 1.45688690e-02,
8.18764627e-01],
[7.82830790e-02, 5.78516901e-01, 8.19092214e-01, 5.70198238e-01,
8.46710980e-01],
[5.47229946e-01, 1.43559426e-01, 8.36587250e-02, 3.06547791e-01,
6.81742013e-01],
[4.60355580e-01, 6.41068876e-01, 3.82924020e-01, 3.87152374e-01,
3.20718378e-01],
[8.60349834e-01, 4.44885850e-01, 9.58179295e-01, 4.26118076e-01,
8.56362760e-01],
[2.63623238e-01, 5.84288418e-01, 1.03269003e-01, 5.53819418e-01,
8.39979649e-01]]],
[[[7.91658163e-01, 9.67234969e-01, 6.20650530e-01, 1.95312709e-01,
3.06378543e-01],
[3.94560903e-01, 3.08358788e-01, 9.02275920e-01, 8.43946874e-01,
1.39667630e-01],
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9.52797890e-01],
[9.15000856e-01, 1.72351092e-01, 6.74884677e-01, 7.15694845e-01,
7.92286038e-01]],
[[9.98317719e-01, 3.60848308e-01, 5.94401062e-01, 1.10184118e-01,
2.48904020e-01],
[2.71129519e-01, 2.44693588e-02, 3.70047897e-01, 4.65116352e-01,
5.51826060e-01],
[4.78148088e-02, 8.83137107e-01, 9.68404472e-01, 7.03087866e-01,
5.13385594e-01],
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6.04331851e-01],
[2.24932432e-01, 6.13189280e-01, 9.88949180e-01, 3.61985981e-01,
9.55092669e-01],
[1.64728716e-01, 3.71836662e-01, 1.35982305e-01, 2.97935121e-02,
2.23905444e-01]],
[[3.54421526e-01, 3.82965058e-01, 4.90319848e-01, 7.84547031e-01,
5.26557505e-01],
[3.01979750e-01, 1.22787757e-02, 6.50617242e-01, 6.23690546e-01,
5.32595515e-01],
[2.18378708e-01, 4.21562850e-01, 1.26386106e-01, 9.30247724e-01,
7.29103923e-01],
[9.08083618e-01, 1.89669967e-01, 5.63792773e-02, 8.93287897e-01,
4.51929599e-01],
[7.22430110e-01, 8.52776691e-03, 1.84341848e-01, 5.20439167e-03,
7.91841567e-01],
[9.96402740e-01, 9.58665550e-01, 9.85449493e-01, 6.39307499e-01,
2.73392171e-01]],
[[8.85233521e-01, 6.93625033e-01, 4.83011119e-02, 8.60280037e-01,
5.00779413e-02],
[6.15939081e-01, 5.68315983e-01, 2.74650544e-01, 1.49477199e-01,
2.89109737e-01],
[6.92977250e-01, 6.01564460e-02, 6.78957820e-01, 1.33290440e-01,
8.06100726e-01],
[5.72826743e-01, 2.13932723e-01, 3.83569121e-01, 9.47964787e-01,
1.86384931e-01],
[8.37678373e-01, 2.14627281e-01, 6.57050133e-01, 8.64300549e-01,
9.79582146e-02],
[2.94265479e-01, 5.89796484e-01, 5.23195088e-01, 5.45662344e-01,
7.85834193e-01]],
[[7.70063579e-01, 5.32210052e-01, 2.26413965e-01, 9.05346692e-01,
5.85878074e-01],
[2.00897172e-01, 3.97017181e-01, 9.97294426e-01, 3.98864001e-01,
7.63662457e-01],
[5.13324775e-02, 4.39854890e-01, 2.42460489e-01, 6.06063977e-02,
1.61363650e-02],
[6.52066916e-02, 5.21883488e-01, 4.78601843e-01, 1.41932890e-01,
4.13609862e-01],
[3.91270556e-02, 3.93979289e-02, 6.44122481e-01, 9.37946379e-01,
9.08622980e-01],
[1.44590437e-01, 7.54643798e-01, 5.00476956e-01, 8.16742480e-01,
2.29875848e-01]],
[[3.58711243e-01, 2.78201550e-01, 3.27603430e-01, 3.54896367e-01,
1.53717682e-01],
[3.62811059e-01, 6.54405236e-01, 5.37301660e-01, 1.74585134e-01,
3.19910735e-01],
[6.71647251e-01, 9.76286232e-01, 8.44544649e-01, 4.47890937e-01,
4.94209826e-01],
[4.99319226e-01, 1.97088182e-01, 6.04131460e-01, 6.98320091e-01,
1.86338767e-01],
[7.11549103e-01, 1.45548899e-02, 3.33440870e-01, 9.83691812e-01,
1.71184465e-01],
[9.21421409e-01, 5.19119978e-01, 2.06491336e-01, 4.23916429e-01,
8.05697501e-01]]],
[[[5.29564202e-01, 8.17810774e-01, 5.98769523e-02, 3.75062346e-01,
9.42436397e-01],
[8.20749462e-01, 2.06316933e-01, 2.58052349e-02, 5.92647195e-01,
1.10708259e-01],
[8.77993524e-01, 8.74946713e-01, 8.17931220e-02, 4.89020854e-01,
9.88004506e-01],
[7.17724979e-01, 8.85657847e-01, 3.54434699e-01, 4.44828928e-01,
2.24314943e-01],
[4.66847539e-01, 5.52291453e-01, 5.07807374e-01, 3.41894776e-01,
8.18403304e-01],
[8.42324346e-02, 4.15351480e-01, 2.97723770e-01, 4.16353941e-01,
9.16480243e-01]],
[[9.54169393e-01, 8.18643868e-01, 3.93758982e-01, 7.49055207e-01,
9.43869948e-01],
[9.34885502e-01, 7.86188841e-01, 4.30072099e-01, 9.98942256e-01,
6.14165008e-01],
[2.14889809e-01, 1.94804952e-01, 7.09544659e-01, 1.30387083e-01,
5.76648831e-01],
[9.01632607e-01, 4.44642246e-01, 5.01762092e-01, 2.75377750e-01,
9.87365320e-02],
[5.42847157e-01, 9.66374815e-01, 1.32144228e-01, 3.94532412e-01,
6.42820716e-01],
[9.19872105e-01, 2.83374757e-01, 5.22632618e-03, 9.66992438e-01,
6.37872934e-01]],
[[8.41260552e-02, 8.62184882e-01, 5.93737841e-01, 5.10798573e-01,
4.24323753e-02],
[6.67033643e-02, 2.93147326e-01, 4.95918393e-02, 7.82208890e-02,
4.19109523e-01],
[2.69573033e-01, 1.65252611e-01, 1.84453085e-01, 6.80250585e-01,
5.62825978e-01],
[2.88174540e-01, 3.29501718e-01, 2.33102411e-01, 6.45580530e-01,
5.83161831e-01],
[2.01559618e-01, 3.70181650e-01, 4.00509745e-01, 8.96002293e-01,
8.18386614e-01],
[5.07274985e-01, 9.92825687e-01, 3.48479971e-02, 4.58963603e-01,
8.19341958e-01]],
[[8.39612544e-01, 9.45327133e-02, 5.69432914e-01, 5.48417866e-01,
9.29794908e-01],
[6.09450340e-01, 3.50948483e-01, 6.72690868e-01, 6.63506985e-02,
8.31664264e-01],
[9.86220896e-01, 9.37903523e-01, 5.12539327e-01, 8.34852755e-01,
4.90467191e-01],
[2.86022574e-01, 2.14571476e-01, 2.24857241e-01, 7.00402558e-01,
5.88167489e-01],
[2.78832410e-02, 5.84432900e-01, 2.80025125e-01, 3.27870429e-01,
9.11344528e-01],
[4.00087804e-01, 6.68220580e-01, 9.46625918e-02, 1.05085760e-01,
2.79350162e-01]],
[[3.16006511e-01, 7.37513304e-01, 3.01873684e-01, 8.09684098e-01,
9.02465940e-01],
[4.69700933e-01, 6.08315408e-01, 3.71231437e-01, 9.07383323e-01,
4.57292080e-01],
[5.77459157e-01, 8.22239295e-02, 3.07659626e-01, 6.84560716e-01,
5.55390477e-01],
[1.23477750e-01, 9.50973809e-01, 4.96633410e-01, 9.84296441e-01,
7.88692236e-01],
[2.69586081e-03, 6.89676404e-02, 3.99422377e-01, 5.18778801e-01,
4.36825305e-01],
[4.27187234e-01, 2.32929572e-01, 5.89424014e-01, 8.68494213e-02,
6.26576483e-01]],
[[5.66584885e-01, 8.69061887e-01, 2.53464431e-01, 1.82933077e-01,
8.64656627e-01],
[1.55204266e-01, 5.00416458e-01, 8.85727286e-01, 6.74669325e-01,
2.00777948e-01],
[7.62210786e-01, 9.00067925e-01, 1.57164529e-01, 2.10852072e-01,
2.80901771e-02],
[5.39648235e-02, 9.66497600e-01, 5.89475095e-01, 1.52321085e-01,
2.47467414e-01],
[2.24881127e-01, 4.41195399e-01, 6.26590252e-01, 2.25896880e-01,
4.30689245e-01],
[3.48562002e-01, 2.78719485e-01, 7.51228154e-01, 1.16351366e-01,
9.75804269e-01]]]]]
target: shape=(3, 6, 6, 5), dtype=int64
[[[[-5, 2, 1, 2, 0],
[ 1, 0, 3, 1, 2],
[ 0, 0, 4, 4, 4],
[ 1, 2, 4, 3, 2],
[ 2, 0, 0, 4, 1],
[ 4, 4, 3, 4, 3]],
[[ 0, 2, 1, 3, 3],
[ 2, 0, 2, 4, 3],
[ 0, 0, 2, 2, 4],
[ 0, 0, 4, 0, 2],
[ 2, 4, 2, 4, 4],
[ 4, 2, 0, 2, 3]],
[[ 2, 4, 0, 1, 1],
[ 0, 3, 3, 1, 4],
[ 3, 0, 1, 4, 3],
[ 1, 1, 0, 3, 0],
[ 3, 3, 2, 2, 1],
[ 2, 0, 2, 1, 4]],
[[ 0, 2, 1, 4, 0],
[ 2, 4, 1, 4, 4],
[ 4, 4, 2, 2, 4],
[ 1, 3, 1, 0, 2],
[ 2, 3, 1, 2, 0],
[ 1, 4, 4, 0, 2]],
[[ 4, 0, 3, 0, 3],
[ 2, 2, 0, 1, 1],
[ 3, 3, 0, 4, 2],
[ 4, 1, 0, 2, 4],
[ 4, 3, 4, 4, 4],
[ 4, 1, 1, 4, 0]],
[[ 4, 2, 0, 3, 2],
[ 1, 4, 0, 0, 0],
[ 1, 1, 4, 0, 1],
[ 2, 2, 1, 4, 4],
[ 4, 4, 0, 2, 3],
[ 0, 0, 1, 2, 4]]],
[[[ 1, 4, 0, 3, 4],
[ 2, 4, 1, 0, 0],
[ 4, 4, 1, 2, 1],
[ 4, 0, 4, 4, 1],
[ 0, 4, 1, 4, 2],
[ 1, 3, 3, 0, 4]],
[[ 2, 2, 1, 3, 3],
[ 2, 3, 4, 3, 3],
[ 2, 2, 0, 2, 3],
[ 0, 3, 4, 1, 3],
[ 4, 3, 1, 2, 4],
[ 3, 3, 4, 3, 4]],
[[ 1, 1, 0, 1, 2],
[ 3, 1, 2, 0, 2],
[ 0, 0, 3, 2, 0],
[ 0, 1, 4, 0, 2],
[ 0, 3, 0, 4, 2],
[ 4, 2, 0, 3, 3]],
[[ 0, 2, 4, 0, 1],
[ 4, 3, 2, 2, 0],
[ 1, 2, 2, 3, 3],
[ 0, 2, 4, 1, 3],
[ 0, 1, 4, 4, 3],
[ 1, 1, 0, 1, 3]],
[[ 3, 1, 4, 0, 4],
[ 1, 2, 4, 1, 2],
[ 3, 0, 0, 1, 1],
[ 4, 2, 0, 0, 4],
[ 4, 1, 4, 2, 3],
[ 3, 2, 4, 1, 4]],
[[ 2, 3, 4, 2, 4],
[ 3, 0, 4, 4, 0],
[ 3, 0, 4, 4, 0],
[ 1, 1, 4, 0, 3],
[ 3, 2, 1, 2, 0],
[ 3, 3, 3, 0, 2]]],
[[[ 3, 0, 3, 2, 2],
[ 0, 2, 0, 2, 2],
[ 3, 0, 2, 1, 2],
[ 2, 0, 3, 0, 1],
[ 2, 2, 1, 2, 4],
[ 0, 4, 0, 2, 4]],
[[ 1, 4, 4, 0, 3],
[ 0, 2, 3, 0, 2],
[ 2, 4, 1, 1, 1],
[ 4, 1, 1, 0, 3],
[ 0, 4, 4, 4, 1],
[ 3, 1, 0, 1, 0]],
[[ 0, 0, 3, 1, 3],
[ 4, 4, 1, 3, 2],
[ 0, 3, 0, 4, 1],
[ 2, 2, 0, 4, 2],
[ 2, 3, 0, 1, 4],
[ 2, 3, 0, 0, 3]],
[[ 0, 2, 3, 2, 3],
[ 0, 1, 1, 1, 1],
[ 4, 2, 4, 2, 4],
[ 3, 3, 2, 3, 2],
[ 1, 3, 0, 0, 4],
[ 4, 1, 0, 2, 4]],
[[ 0, 0, 3, 2, 4],
[ 2, 4, 4, 4, 0],
[ 4, 2, 3, 3, 0],
[ 0, 3, 4, 3, 4],
[ 4, 2, 1, 4, 4],
[ 0, 3, 1, 4, 1]],
[[ 3, 4, 1, 3, 4],
[ 4, 1, 4, 0, 4],
[ 2, 2, 1, 3, 4],
[ 4, 4, 3, 0, 1],
[ 3, 3, 4, 1, 3],
[ 1, 3, 1, 2, 0]]]]
Outputs:
loss: shape=(3, 6, 6, 5), dtype=float32
[[[[ 0. , -0.9314766 , -0.9255093 , -0.5115664 , -0.42862108],
[-0.8431774 , -0.28922668, -0.21499482, -0.04098871, -0.44163516],
[-0.9596658 , -0.8756305 , -0.83726573, -0.2564202 , -0.904758 ],
[-0.20317565, -0.86527187, -0.29353958, -0.97556686, -0.05121084],
[-0.66186005, -0.91706467, -0.01068927, -0.962201 , -0.98475456],
[-0.05798699, -0.28963083, -0.76796496, -0.80022407, -0.80679286]],
[[-0.29364786, -0.4931008 , -0.13536273, -0.22231808, -0.7753645 ],
[-0.59930027, -0.51510745, -0.4805106 , -0.35625768, -0.4763977 ],
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test_nllloss_NCd1d2d3_sum_weight_high_ii
Node:
NegativeLogLikelihoodLoss(input, target, weight) -> (loss)
Attributes:
reduction = "sum"
ignore_index = 10
Inputs:
input: shape=(3, 5), dtype=float32
[[0.6678984 , 0.32942614, 0.67502016, 0.0768701 , 0.79392016],
[0.39361763, 0.7382347 , 0.32116568, 0.306422 , 0.5989812 ],
[0.10943671, 0.2824772 , 0.29105735, 0.44607452, 0.37390444]]
target: shape=(3,), dtype=int64
[10, 2, 3]
weight: shape=(5,), dtype=float32
[0.4075593 , 0.9353291 , 0.58191144, 0.54260164, 0.5865326 ]
Outputs:
loss: shape=(), dtype=float32
-0.42893076
test_nllloss_NCd1d2d3d4d5_mean_weight
Node:
NegativeLogLikelihoodLoss(input, target, weight) -> (loss)
Inputs:
input: shape=(3, 5, 6, 6, 5, 3, 4), dtype=float32
[[[[[[[6.96485817e-01, 9.52056944e-01, 2.75566224e-02, 7.57685900e-01],
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[9.13748205e-01, 9.60988924e-02, 2.95457784e-02, 1.65516898e-01]],
[[6.86133623e-01, 5.60162783e-01, 7.74716437e-01, 3.28469843e-01],
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[6.64313614e-01, 8.11341763e-01, 2.41776276e-02, 4.98726368e-01],
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[[9.26006675e-01, 7.84273446e-01, 5.85304081e-01, 4.08541143e-01],
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[[1, 2, 2, 1],
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[[[2, 3, 3, 0],
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[[4, 2, 4, 0],
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[[3, 1, 1, 1],
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[2, 3, 0, 2]],
[[4, 4, 2, 2],
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[0, 1, 4, 3]]]],
[[[[2, 3, 4, 1],
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[[2, 3, 4, 3],
[2, 0, 1, 1],
[2, 3, 0, 1]],
[[2, 3, 2, 3],
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[[[1, 3, 1, 4],
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[0, 1, 3, 2]],
[[3, 0, 0, 4],
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[[2, 2, 3, 4],
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[[2, 2, 1, 0],
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[[[0, 0, 2, 1],
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[[3, 3, 1, 4],
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[[4, 4, 2, 3],
[1, 2, 0, 2],
[1, 1, 4, 1]],
[[2, 3, 0, 4],
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[[0, 1, 3, 2],
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[3, 1, 1, 1]]],
[[[2, 4, 1, 2],
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[[2, 3, 1, 4],
[3, 4, 1, 0],
[4, 4, 0, 2]],
[[3, 4, 2, 1],
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[[4, 0, 3, 4],
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[[3, 0, 2, 0],
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[[[2, 3, 3, 4],
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[[3, 0, 0, 4],
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[[2, 4, 0, 3],
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[[0, 4, 0, 1],
[2, 1, 1, 3],
[4, 1, 3, 0]],
[[1, 0, 0, 3],
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[[[4, 0, 4, 0],
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[[1, 3, 1, 3],
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[[1, 0, 3, 1],
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[1, 0, 3, 4]],
[[2, 1, 2, 0],
[1, 2, 1, 3],
[0, 2, 2, 1]],
[[2, 3, 3, 1],
[0, 2, 3, 0],
[2, 1, 4, 3]]]],
[[[[0, 0, 0, 0],
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[[1, 4, 1, 3],
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[[3, 2, 2, 2],
[0, 0, 3, 0],
[1, 0, 0, 4]],
[[3, 2, 0, 4],
[4, 3, 4, 4],
[0, 2, 3, 0]],
[[2, 0, 0, 2],
[1, 3, 3, 3],
[1, 2, 0, 4]]],
[[[1, 2, 2, 2],
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[2, 2, 3, 0]],
[[2, 1, 4, 2],
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[0, 0, 2, 2]],
[[1, 4, 3, 2],
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[[2, 2, 2, 0],
[4, 3, 4, 0],
[2, 4, 1, 4]],
[[4, 1, 4, 4],
[4, 2, 4, 0],
[1, 2, 4, 0]]],
[[[1, 4, 3, 0],
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[[4, 2, 3, 0],
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[[0, 0, 4, 0],
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[[2, 2, 2, 4],
[0, 3, 2, 4],
[2, 3, 3, 4]],
[[2, 1, 1, 1],
[4, 2, 1, 4],
[1, 3, 2, 0]]],
[[[0, 2, 4, 4],
[2, 3, 3, 0],
[0, 0, 4, 1]],
[[4, 2, 3, 2],
[1, 0, 3, 3],
[4, 0, 3, 2]],
[[3, 3, 4, 4],
[4, 2, 3, 4],
[3, 2, 1, 1]],
[[2, 3, 3, 1],
[4, 2, 0, 2],
[4, 2, 4, 1]],
[[0, 3, 0, 2],
[0, 1, 2, 2],
[3, 0, 3, 1]]],
[[[4, 3, 2, 4],
[4, 3, 3, 4],
[2, 3, 4, 4]],
[[2, 2, 0, 1],
[1, 3, 4, 1],
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[[4, 0, 1, 2],
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[[4, 3, 1, 1],
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[1, 2, 3, 2]],
[[1, 3, 2, 4],
[3, 4, 2, 2],
[4, 3, 1, 4]]],
[[[0, 4, 3, 0],
[0, 1, 3, 3],
[2, 4, 1, 3]],
[[1, 0, 1, 2],
[2, 3, 4, 4],
[3, 0, 0, 0]],
[[2, 2, 3, 0],
[3, 3, 0, 2],
[3, 2, 1, 0]],
[[1, 1, 3, 2],
[4, 1, 2, 0],
[0, 4, 4, 3]],
[[0, 3, 3, 3],
[1, 1, 3, 2],
[2, 2, 2, 1]]]],
[[[[4, 3, 4, 0],
[2, 3, 0, 2],
[2, 0, 0, 1]],
[[2, 1, 0, 2],
[4, 0, 0, 1],
[4, 3, 2, 0]],
[[3, 2, 3, 3],
[2, 3, 4, 0],
[4, 2, 4, 1]],
[[2, 2, 4, 2],
[4, 4, 1, 3],
[1, 4, 2, 0]],
[[3, 3, 4, 1],
[0, 4, 0, 0],
[4, 1, 1, 0]]],
[[[1, 4, 0, 3],
[4, 0, 2, 3],
[2, 1, 3, 0]],
[[4, 1, 0, 2],
[2, 2, 2, 1],
[1, 0, 4, 2]],
[[1, 1, 0, 2],
[3, 3, 3, 1],
[3, 1, 4, 4]],
[[1, 0, 0, 2],
[0, 4, 0, 4],
[2, 4, 2, 4]],
[[1, 0, 1, 0],
[1, 1, 0, 1],
[0, 3, 1, 0]]],
[[[4, 4, 2, 1],
[4, 1, 0, 0],
[1, 0, 1, 4]],
[[4, 1, 4, 3],
[2, 0, 2, 4],
[4, 1, 1, 4]],
[[4, 1, 4, 4],
[1, 4, 4, 0],
[3, 3, 0, 4]],
[[2, 4, 1, 3],
[1, 1, 3, 2],
[1, 2, 0, 3]],
[[1, 2, 1, 2],
[0, 2, 1, 3],
[4, 0, 0, 2]]],
[[[4, 1, 1, 4],
[1, 4, 1, 2],
[4, 0, 2, 0]],
[[3, 1, 4, 0],
[3, 2, 0, 4],
[2, 0, 1, 3]],
[[4, 2, 2, 0],
[3, 0, 0, 0],
[0, 1, 0, 4]],
[[2, 2, 3, 2],
[2, 0, 4, 2],
[1, 1, 0, 1]],
[[4, 1, 1, 2],
[3, 1, 4, 1],
[3, 0, 1, 0]]],
[[[4, 0, 4, 4],
[1, 0, 1, 1],
[3, 0, 2, 0]],
[[4, 3, 1, 3],
[4, 3, 3, 2],
[2, 1, 4, 0]],
[[4, 1, 4, 3],
[1, 4, 4, 2],
[2, 4, 4, 3]],
[[3, 2, 4, 2],
[1, 1, 4, 4],
[0, 0, 1, 1]],
[[2, 2, 4, 0],
[1, 4, 3, 3],
[2, 3, 4, 4]]],
[[[4, 4, 1, 4],
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[[2, 3, 4, 1],
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[[4, 4, 4, 4],
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[[4, 0, 4, 3],
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[[[[4, 1, 1, 2],
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[[1, 2, 0, 2],
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[[2, 2, 4, 0],
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[[1, 1, 1, 2],
[3, 1, 1, 2],
[3, 3, 4, 1]],
[[2, 1, 0, 2],
[2, 3, 4, 3],
[3, 0, 2, 4]]],
[[[4, 3, 3, 4],
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[4, 4, 2, 4]],
[[3, 2, 4, 3],
[3, 2, 3, 3],
[4, 4, 1, 4]],
[[0, 0, 0, 2],
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[4, 0, 0, 1]],
[[1, 2, 3, 1],
[2, 2, 2, 3],
[4, 0, 4, 0]],
[[1, 2, 0, 4],
[1, 4, 0, 4],
[2, 2, 2, 3]]],
[[[0, 3, 1, 2],
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[4, 3, 0, 3]],
[[4, 3, 2, 3],
[3, 4, 2, 0],
[0, 1, 1, 1]],
[[1, 3, 4, 4],
[4, 3, 2, 0],
[4, 4, 1, 0]],
[[1, 3, 1, 3],
[1, 1, 4, 1],
[2, 4, 3, 4]],
[[4, 4, 2, 4],
[2, 4, 4, 1],
[2, 0, 2, 2]]],
[[[2, 4, 3, 1],
[0, 0, 4, 0],
[0, 1, 2, 3]],
[[2, 0, 2, 4],
[1, 0, 4, 2],
[2, 3, 3, 1]],
[[4, 3, 0, 3],
[1, 1, 2, 0],
[3, 3, 2, 1]],
[[4, 1, 1, 3],
[2, 0, 4, 0],
[4, 1, 3, 4]],
[[2, 4, 4, 3],
[3, 0, 3, 1],
[1, 4, 2, 2]]],
[[[3, 4, 2, 0],
[0, 2, 1, 3],
[2, 0, 3, 2]],
[[3, 2, 3, 4],
[4, 1, 0, 1],
[2, 4, 2, 2]],
[[4, 4, 0, 0],
[4, 1, 3, 1],
[2, 2, 1, 3]],
[[4, 4, 2, 0],
[2, 1, 1, 4],
[2, 4, 0, 1]],
[[1, 3, 3, 2],
[0, 4, 3, 1],
[2, 2, 0, 3]]],
[[[2, 2, 2, 4],
[3, 1, 0, 0],
[4, 1, 2, 3]],
[[4, 2, 4, 3],
[1, 3, 0, 4],
[0, 4, 3, 2]],
[[4, 1, 2, 1],
[4, 1, 2, 2],
[4, 0, 3, 4]],
[[1, 4, 0, 4],
[2, 2, 0, 2],
[4, 2, 2, 2]],
[[3, 3, 1, 3],
[0, 0, 3, 3],
[3, 1, 2, 2]]]]]]
weight: shape=(5,), dtype=float32
[0.90766114, 0.36499912, 0.1363495 , 0.0482029 , 0.7200092 ]
Outputs:
loss: shape=(), dtype=float32
-0.5031607
test_nllloss_NCd1d2d3d4d5_none_no_weight
Node:
NegativeLogLikelihoodLoss(input, target) -> (loss)
Attributes:
reduction = "none"
Inputs:
input: shape=(3, 5, 6, 6, 5, 3, 4), dtype=float32
[[[[[[[5.53159177e-01, 3.03096175e-01, 6.28301382e-01, 5.37691057e-01],
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[5.18459082e-01, 3.35469186e-01, 5.35841346e-01, 1.33497491e-01]],
[[2.88851887e-01, 2.40287274e-01, 7.20675647e-01, 4.11563784e-01],
[2.42965207e-01, 7.75545776e-01, 5.03904462e-01, 1.34387404e-01],
[8.33981276e-01, 9.39080596e-01, 2.55110208e-02, 8.66413355e-01]],
[[6.27306476e-02, 3.21140289e-01, 4.14437726e-02, 8.48511100e-01],
[9.95888114e-01, 5.07505238e-01, 3.63587439e-01, 1.12546049e-01],
[8.03299427e-01, 9.95054901e-01, 7.34921992e-01, 6.00230038e-01]],
[[3.96098346e-01, 6.69054091e-01, 9.07642961e-01, 6.58480883e-01],
[8.31891418e-01, 9.95582566e-02, 5.67167282e-01, 5.07189989e-01],
[1.75415009e-01, 8.41826439e-01, 6.30130112e-01, 5.83683968e-01]],
[[2.26410881e-01, 7.21043587e-01, 1.98517293e-01, 7.48112679e-01],
[8.17730904e-01, 7.84977138e-01, 2.50887871e-01, 8.59426558e-01],
[3.39831114e-01, 8.42254043e-01, 2.96267904e-02, 7.01854706e-01]]],
[[[3.55219543e-01, 1.50058538e-01, 7.13804603e-01, 9.93548751e-01],
[7.55853593e-01, 1.91993177e-01, 3.80500019e-01, 7.77700484e-01],
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[[8.73951495e-01, 8.15704703e-01, 3.40705007e-01, 3.74247968e-01],
[3.54221284e-01, 7.74336815e-01, 1.05893880e-01, 8.28827143e-01],
[4.19739604e-01, 8.95999432e-01, 2.80465275e-01, 3.24524373e-01]],
[[5.97245455e-01, 8.68421867e-02, 5.22864401e-01, 4.91556793e-01],
[5.40243089e-01, 3.61131430e-01, 6.36966169e-01, 3.93201113e-01],
[4.99896169e-01, 6.96247935e-01, 9.30696964e-01, 7.49167264e-01]],
[[4.46864180e-02, 6.09305680e-01, 2.45809972e-01, 7.40226805e-02],
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[9.39803421e-01, 2.88564097e-02, 5.66944718e-01, 9.01242077e-01]],
[[4.93525177e-01, 4.51250887e-03, 6.01782203e-01, 6.76675260e-01],
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[8.64559352e-01, 6.46465778e-01, 2.50416011e-01, 5.32461226e-01]]],
[[[6.86475456e-01, 1.54559791e-01, 8.78542721e-01, 2.98042059e-01],
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[7.42863953e-01, 2.09753335e-01, 7.08877385e-01, 6.38993382e-01]],
[[7.59961665e-01, 8.85876775e-01, 3.46544445e-01, 1.86939791e-01],
[6.24225378e-01, 9.66440022e-01, 5.30524433e-01, 2.67131299e-01],
[1.63397178e-01, 9.13725674e-01, 3.33184659e-01, 9.31315005e-01]],
[[1.00370497e-01, 9.45159674e-01, 8.95162821e-01, 9.65496898e-01],
[9.48840916e-01, 9.11963731e-02, 1.29213482e-01, 9.15123597e-02],
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[[7.51905978e-01, 6.73235774e-01, 4.76835608e-01, 9.86699641e-01],
[8.72284591e-01, 9.69450474e-01, 1.06345713e-01, 4.41549182e-01],
[1.43966183e-01, 5.90178728e-01, 2.96569556e-01, 3.90572962e-03]],
[[5.42128906e-02, 3.51762176e-01, 4.68890555e-02, 7.48553634e-01],
[9.55044389e-01, 9.22654048e-02, 2.17427865e-01, 9.98369932e-01],
[3.49745274e-01, 5.08988976e-01, 8.43011677e-01, 3.28128964e-01]]],
[[[5.33212066e-01, 3.62201184e-01, 6.09100342e-01, 6.05461419e-01],
[1.80637449e-01, 5.71535528e-01, 9.65480506e-01, 3.48190546e-01],
[7.51821250e-02, 8.23137462e-01, 2.26846382e-01, 5.56546450e-01]],
[[5.65804280e-02, 3.44985873e-01, 1.35041296e-01, 2.38069803e-01],
[2.18249604e-01, 9.62080434e-02, 5.08211434e-01, 9.67733979e-01],
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[4, 4, 4, 2]],
[[3, 4, 1, 4],
[1, 0, 3, 4],
[2, 4, 4, 1]]],
[[[3, 2, 4, 2],
[2, 1, 0, 4],
[1, 2, 2, 2]],
[[1, 3, 3, 3],
[1, 1, 3, 3],
[1, 1, 0, 4]],
[[2, 3, 2, 0],
[0, 3, 1, 3],
[0, 3, 0, 0]],
[[1, 3, 3, 2],
[2, 2, 4, 4],
[0, 4, 2, 0]],
[[1, 2, 3, 1],
[0, 2, 4, 1],
[1, 3, 4, 3]]],
[[[1, 0, 4, 3],
[0, 2, 4, 0],
[0, 4, 1, 1]],
[[3, 0, 1, 1],
[3, 0, 0, 0],
[4, 3, 4, 4]],
[[2, 3, 1, 1],
[4, 3, 2, 2],
[1, 3, 4, 4]],
[[2, 2, 4, 1],
[2, 0, 4, 1],
[0, 1, 4, 2]],
[[1, 1, 0, 3],
[2, 1, 4, 2],
[1, 2, 2, 1]]],
[[[1, 3, 0, 1],
[3, 4, 4, 0],
[3, 3, 3, 0]],
[[0, 3, 3, 2],
[1, 3, 4, 3],
[4, 2, 0, 0]],
[[4, 4, 1, 0],
[1, 3, 2, 0],
[4, 0, 2, 0]],
[[1, 1, 1, 0],
[4, 0, 2, 2],
[4, 3, 3, 0]],
[[1, 3, 1, 4],
[1, 4, 2, 3],
[2, 0, 1, 0]]]],
[[[[3, 2, 2, 3],
[0, 2, 2, 0],
[1, 3, 4, 0]],
[[0, 0, 0, 1],
[1, 2, 4, 4],
[2, 3, 0, 0]],
[[0, 4, 0, 0],
[4, 2, 0, 0],
[4, 0, 4, 2]],
[[3, 4, 4, 1],
[1, 0, 3, 1],
[1, 4, 4, 1]],
[[1, 1, 4, 4],
[2, 1, 2, 4],
[0, 4, 4, 4]]],
[[[0, 3, 3, 4],
[2, 4, 3, 3],
[4, 0, 4, 1]],
[[4, 0, 1, 0],
[1, 1, 0, 2],
[4, 0, 3, 3]],
[[0, 2, 1, 2],
[4, 2, 3, 3],
[1, 3, 2, 2]],
[[3, 1, 1, 3],
[0, 0, 3, 1],
[3, 2, 2, 0]],
[[2, 0, 2, 0],
[0, 4, 0, 4],
[0, 2, 1, 3]]],
[[[3, 1, 0, 1],
[0, 2, 0, 3],
[0, 3, 4, 0]],
[[0, 0, 3, 2],
[0, 0, 0, 3],
[2, 2, 0, 2]],
[[2, 2, 4, 2],
[3, 0, 2, 0],
[4, 1, 4, 2]],
[[1, 0, 3, 3],
[1, 1, 1, 4],
[0, 2, 1, 1]],
[[4, 1, 1, 2],
[2, 3, 1, 3],
[4, 3, 2, 0]]],
[[[1, 2, 0, 3],
[0, 3, 1, 3],
[2, 3, 1, 2]],
[[3, 3, 3, 2],
[0, 4, 3, 0],
[2, 1, 0, 2]],
[[2, 4, 2, 2],
[3, 3, 1, 3],
[3, 4, 3, 3]],
[[4, 2, 0, 3],
[4, 2, 0, 4],
[0, 4, 1, 3]],
[[4, 3, 0, 0],
[1, 4, 2, 4],
[4, 2, 1, 3]]],
[[[0, 2, 3, 4],
[4, 1, 3, 3],
[4, 0, 4, 4]],
[[3, 3, 1, 2],
[4, 2, 4, 0],
[3, 2, 2, 0]],
[[2, 4, 2, 3],
[4, 2, 1, 0],
[1, 2, 0, 2]],
[[0, 1, 1, 3],
[2, 2, 1, 2],
[0, 1, 1, 4]],
[[2, 4, 3, 3],
[4, 1, 0, 1],
[4, 4, 1, 1]]],
[[[3, 2, 4, 3],
[0, 3, 3, 0],
[1, 1, 1, 2]],
[[1, 4, 1, 3],
[3, 4, 1, 0],
[4, 1, 3, 3]],
[[3, 4, 2, 3],
[3, 4, 2, 2],
[1, 0, 4, 0]],
[[2, 2, 4, 2],
[1, 1, 4, 2],
[3, 1, 3, 1]],
[[4, 1, 0, 0],
[4, 2, 4, 2],
[0, 0, 3, 3]]]]],
[[[[[3, 2, 0, 4],
[0, 4, 1, 2],
[4, 3, 4, 1]],
[[3, 2, 1, 1],
[3, 3, 3, 2],
[4, 1, 3, 2]],
[[2, 2, 2, 1],
[1, 3, 2, 2],
[4, 4, 0, 1]],
[[4, 1, 1, 1],
[3, 4, 2, 1],
[4, 3, 2, 0]],
[[2, 2, 4, 3],
[3, 4, 2, 0],
[4, 3, 2, 3]]],
[[[3, 3, 2, 1],
[1, 1, 1, 0],
[4, 3, 0, 0]],
[[0, 0, 4, 0],
[1, 3, 4, 1],
[1, 3, 0, 2]],
[[0, 3, 3, 4],
[0, 3, 2, 1],
[1, 3, 0, 2]],
[[4, 4, 3, 2],
[0, 2, 2, 0],
[1, 4, 3, 4]],
[[3, 1, 2, 3],
[0, 4, 1, 0],
[3, 4, 0, 1]]],
[[[1, 1, 3, 2],
[0, 2, 1, 0],
[1, 3, 1, 3]],
[[4, 2, 2, 2],
[2, 1, 3, 0],
[1, 3, 4, 3]],
[[0, 2, 1, 2],
[1, 0, 1, 0],
[3, 4, 2, 3]],
[[1, 2, 3, 2],
[0, 4, 2, 2],
[3, 3, 0, 2]],
[[0, 2, 4, 0],
[3, 2, 3, 2],
[0, 3, 2, 2]]],
[[[2, 3, 1, 0],
[0, 2, 4, 3],
[2, 1, 4, 4]],
[[1, 3, 1, 1],
[1, 1, 4, 1],
[3, 0, 3, 1]],
[[0, 4, 3, 1],
[1, 3, 2, 2],
[1, 4, 4, 0]],
[[3, 1, 2, 3],
[0, 0, 1, 0],
[2, 4, 0, 3]],
[[1, 4, 2, 3],
[1, 1, 4, 4],
[1, 1, 2, 3]]],
[[[0, 4, 2, 1],
[3, 1, 4, 4],
[4, 2, 2, 4]],
[[2, 1, 2, 2],
[3, 0, 4, 2],
[4, 2, 1, 3]],
[[1, 3, 2, 3],
[1, 0, 3, 3],
[0, 3, 0, 1]],
[[1, 1, 2, 0],
[1, 4, 1, 0],
[3, 4, 0, 3]],
[[0, 3, 3, 4],
[3, 0, 0, 4],
[4, 4, 1, 3]]],
[[[4, 0, 3, 4],
[0, 1, 2, 3],
[0, 3, 1, 0]],
[[1, 4, 4, 3],
[0, 4, 2, 4],
[2, 0, 4, 0]],
[[3, 2, 2, 0],
[4, 1, 0, 3],
[2, 0, 4, 3]],
[[3, 1, 1, 2],
[0, 3, 2, 1],
[1, 1, 0, 2]],
[[4, 1, 1, 0],
[4, 4, 0, 1],
[3, 3, 4, 4]]]],
[[[[1, 2, 3, 2],
[4, 2, 4, 0],
[2, 4, 4, 3]],
[[3, 3, 4, 4],
[4, 4, 1, 1],
[1, 1, 0, 1]],
[[2, 3, 4, 4],
[1, 1, 2, 3],
[4, 2, 4, 3]],
[[4, 2, 1, 3],
[3, 4, 4, 2],
[0, 1, 4, 1]],
[[0, 1, 3, 2],
[0, 4, 4, 1],
[1, 0, 1, 1]]],
[[[4, 0, 0, 3],
[3, 4, 1, 4],
[3, 3, 0, 0]],
[[3, 4, 0, 1],
[3, 3, 2, 4],
[4, 3, 2, 4]],
[[3, 4, 1, 1],
[1, 1, 3, 2],
[4, 4, 1, 1]],
[[4, 4, 4, 0],
[2, 4, 1, 3],
[2, 2, 0, 2]],
[[0, 0, 3, 3],
[2, 1, 4, 0],
[3, 1, 4, 4]]],
[[[2, 3, 4, 0],
[3, 0, 1, 4],
[3, 3, 2, 4]],
[[3, 3, 0, 3],
[1, 4, 2, 0],
[2, 3, 4, 2]],
[[0, 4, 1, 4],
[3, 1, 4, 3],
[3, 3, 0, 1]],
[[0, 1, 3, 3],
[0, 1, 2, 2],
[4, 0, 4, 2]],
[[3, 0, 4, 1],
[4, 0, 4, 1],
[4, 0, 0, 4]]],
[[[1, 2, 3, 0],
[2, 3, 3, 4],
[2, 2, 0, 1]],
[[1, 4, 4, 2],
[4, 4, 3, 4],
[4, 3, 3, 1]],
[[1, 4, 0, 3],
[0, 4, 3, 2],
[4, 3, 3, 3]],
[[3, 1, 3, 4],
[0, 3, 3, 4],
[3, 0, 3, 0]],
[[4, 0, 1, 2],
[3, 4, 1, 1],
[1, 2, 0, 4]]],
[[[1, 1, 4, 0],
[4, 4, 3, 2],
[2, 0, 0, 4]],
[[3, 1, 3, 1],
[1, 3, 1, 2],
[4, 3, 3, 1]],
[[4, 4, 4, 2],
[1, 0, 2, 1],
[0, 0, 1, 1]],
[[0, 0, 4, 2],
[0, 2, 3, 0],
[0, 3, 4, 3]],
[[3, 0, 2, 4],
[2, 4, 4, 1],
[3, 2, 2, 0]]],
[[[3, 2, 0, 0],
[0, 0, 3, 3],
[4, 2, 0, 4]],
[[4, 4, 2, 0],
[1, 0, 1, 0],
[1, 2, 1, 2]],
[[1, 2, 1, 1],
[3, 2, 4, 3],
[0, 2, 3, 1]],
[[4, 4, 4, 2],
[4, 1, 4, 3],
[1, 2, 2, 3]],
[[2, 1, 3, 3],
[4, 1, 0, 3],
[3, 2, 1, 4]]]],
[[[[2, 1, 4, 1],
[3, 0, 3, 1],
[0, 0, 2, 1]],
[[2, 1, 2, 0],
[4, 4, 3, 4],
[2, 0, 1, 2]],
[[4, 3, 4, 3],
[1, 1, 2, 0],
[4, 0, 3, 3]],
[[4, 1, 0, 0],
[2, 2, 2, 3],
[2, 3, 2, 2]],
[[4, 1, 3, 2],
[2, 2, 1, 3],
[4, 3, 0, 0]]],
[[[1, 4, 3, 0],
[0, 2, 1, 3],
[1, 3, 3, 0]],
[[2, 1, 2, 4],
[1, 2, 2, 1],
[3, 4, 4, 2]],
[[1, 1, 2, 0],
[2, 1, 1, 0],
[2, 3, 4, 3]],
[[1, 2, 0, 1],
[2, 2, 4, 0],
[0, 1, 3, 2]],
[[4, 4, 1, 2],
[0, 1, 1, 1],
[1, 0, 4, 2]]],
[[[4, 3, 3, 3],
[1, 0, 0, 2],
[2, 4, 4, 0]],
[[4, 0, 3, 1],
[1, 2, 2, 1],
[3, 4, 0, 1]],
[[1, 4, 3, 0],
[4, 1, 1, 2],
[3, 2, 4, 4]],
[[4, 1, 4, 2],
[2, 0, 0, 3],
[0, 3, 2, 0]],
[[0, 0, 0, 3],
[2, 1, 0, 1],
[1, 0, 2, 4]]],
[[[2, 3, 0, 4],
[2, 3, 2, 1],
[1, 2, 1, 4]],
[[1, 4, 4, 0],
[4, 4, 4, 4],
[1, 2, 1, 4]],
[[0, 3, 0, 0],
[4, 0, 4, 4],
[2, 0, 3, 0]],
[[4, 0, 1, 1],
[2, 3, 0, 4],
[4, 0, 3, 4]],
[[1, 1, 3, 1],
[3, 1, 4, 0],
[4, 0, 4, 0]]],
[[[2, 4, 3, 1],
[2, 1, 3, 1],
[3, 4, 1, 2]],
[[2, 1, 3, 0],
[2, 1, 0, 2],
[0, 3, 1, 4]],
[[4, 1, 3, 3],
[2, 0, 1, 2],
[3, 3, 2, 2]],
[[4, 1, 0, 4],
[3, 1, 2, 4],
[1, 0, 2, 2]],
[[3, 2, 2, 0],
[4, 3, 3, 1],
[1, 1, 2, 3]]],
[[[1, 2, 4, 1],
[4, 2, 3, 1],
[1, 0, 2, 0]],
[[0, 1, 1, 0],
[2, 1, 1, 0],
[3, 3, 2, 3]],
[[3, 4, 1, 0],
[1, 0, 3, 0],
[1, 4, 0, 4]],
[[3, 1, 3, 4],
[0, 1, 4, 0],
[0, 3, 1, 1]],
[[1, 0, 4, 2],
[4, 3, 4, 3],
[2, 1, 1, 0]]]],
[[[[3, 0, 3, 3],
[4, 4, 4, 2],
[2, 4, 3, 1]],
[[2, 1, 0, 1],
[0, 3, 2, 3],
[3, 3, 4, 0]],
[[4, 2, 3, 4],
[4, 2, 3, 2],
[3, 3, 2, 3]],
[[2, 0, 1, 0],
[1, 1, 1, 0],
[0, 3, 1, 2]],
[[2, 4, 3, 3],
[2, 1, 1, 1],
[4, 4, 4, 1]]],
[[[3, 4, 0, 3],
[2, 4, 3, 4],
[0, 3, 2, 4]],
[[1, 4, 0, 2],
[2, 4, 3, 3],
[4, 2, 0, 1]],
[[2, 4, 0, 4],
[1, 4, 4, 3],
[1, 2, 4, 1]],
[[0, 2, 3, 0],
[4, 0, 4, 2],
[0, 3, 2, 3]],
[[1, 4, 0, 3],
[2, 2, 2, 3],
[0, 3, 1, 2]]],
[[[0, 0, 2, 2],
[0, 0, 0, 2],
[2, 0, 3, 1]],
[[4, 1, 2, 1],
[2, 4, 0, 4],
[4, 4, 1, 2]],
[[3, 2, 4, 3],
[3, 0, 1, 4],
[0, 3, 2, 3]],
[[2, 0, 0, 1],
[2, 0, 3, 3],
[0, 1, 2, 1]],
[[2, 4, 2, 1],
[0, 2, 3, 3],
[0, 3, 3, 1]]],
[[[3, 4, 2, 4],
[0, 2, 3, 3],
[4, 0, 1, 3]],
[[4, 0, 2, 2],
[4, 2, 0, 3],
[2, 4, 0, 3]],
[[2, 2, 2, 2],
[4, 2, 3, 0],
[1, 1, 2, 2]],
[[2, 3, 4, 1],
[4, 3, 1, 3],
[3, 2, 4, 3]],
[[3, 4, 0, 1],
[0, 0, 4, 2],
[3, 0, 2, 1]]],
[[[1, 1, 2, 1],
[2, 4, 4, 3],
[4, 2, 0, 4]],
[[3, 4, 4, 3],
[4, 1, 1, 1],
[4, 0, 0, 3]],
[[1, 2, 2, 4],
[1, 1, 4, 4],
[4, 2, 4, 3]],
[[2, 3, 1, 3],
[2, 2, 2, 1],
[3, 2, 1, 4]],
[[2, 4, 1, 3],
[4, 3, 1, 0],
[2, 4, 1, 2]]],
[[[4, 1, 2, 0],
[0, 1, 3, 4],
[0, 1, 1, 1]],
[[3, 4, 3, 1],
[1, 1, 0, 3],
[4, 0, 0, 3]],
[[2, 2, 0, 3],
[3, 2, 0, 0],
[0, 2, 3, 2]],
[[4, 1, 4, 2],
[3, 0, 1, 1],
[2, 3, 2, 3]],
[[3, 3, 4, 3],
[2, 2, 3, 3],
[1, 4, 3, 1]]]],
[[[[0, 2, 0, 1],
[2, 2, 0, 0],
[1, 2, 0, 3]],
[[2, 4, 0, 4],
[1, 2, 4, 0],
[1, 2, 0, 0]],
[[3, 1, 2, 3],
[2, 2, 0, 1],
[0, 2, 3, 4]],
[[0, 4, 1, 1],
[0, 2, 3, 3],
[4, 2, 0, 4]],
[[2, 2, 3, 1],
[1, 0, 1, 4],
[0, 1, 2, 4]]],
[[[1, 0, 4, 3],
[0, 0, 4, 4],
[4, 1, 3, 1]],
[[0, 1, 1, 2],
[4, 0, 1, 4],
[0, 1, 2, 0]],
[[1, 2, 3, 0],
[3, 4, 4, 4],
[2, 4, 2, 2]],
[[4, 0, 4, 1],
[2, 4, 1, 0],
[3, 3, 1, 0]],
[[0, 4, 2, 4],
[2, 0, 3, 0],
[4, 3, 0, 4]]],
[[[1, 4, 1, 3],
[0, 3, 4, 2],
[4, 2, 1, 0]],
[[3, 1, 2, 4],
[0, 1, 4, 2],
[3, 3, 0, 0]],
[[4, 4, 3, 3],
[4, 4, 3, 1],
[4, 4, 3, 1]],
[[3, 1, 2, 2],
[1, 0, 3, 0],
[3, 1, 3, 1]],
[[0, 3, 4, 3],
[4, 4, 2, 3],
[4, 4, 4, 4]]],
[[[2, 3, 4, 2],
[1, 1, 1, 3],
[0, 1, 1, 2]],
[[2, 1, 4, 2],
[4, 1, 3, 0],
[1, 4, 3, 0]],
[[1, 2, 1, 2],
[4, 4, 3, 2],
[1, 3, 1, 1]],
[[4, 0, 1, 3],
[1, 3, 0, 3],
[3, 2, 2, 4]],
[[1, 1, 3, 1],
[4, 2, 0, 0],
[4, 0, 4, 4]]],
[[[0, 0, 1, 0],
[0, 1, 0, 4],
[4, 2, 3, 0]],
[[0, 1, 4, 0],
[3, 1, 2, 3],
[2, 3, 1, 4]],
[[0, 3, 3, 2],
[1, 4, 2, 1],
[4, 1, 1, 1]],
[[2, 4, 1, 4],
[4, 4, 3, 2],
[2, 1, 4, 3]],
[[1, 1, 3, 1],
[2, 0, 3, 1],
[3, 1, 1, 1]]],
[[[0, 4, 1, 1],
[4, 1, 0, 4],
[3, 1, 3, 0]],
[[3, 1, 2, 4],
[3, 1, 2, 2],
[1, 4, 4, 4]],
[[3, 1, 3, 4],
[2, 1, 3, 3],
[0, 0, 2, 1]],
[[2, 1, 3, 0],
[3, 0, 1, 2],
[0, 0, 2, 4]],
[[0, 4, 4, 3],
[0, 1, 4, 1],
[0, 4, 4, 3]]]],
[[[[2, 4, 2, 0],
[4, 3, 1, 3],
[3, 0, 4, 0]],
[[1, 1, 0, 0],
[1, 1, 3, 0],
[1, 4, 0, 1]],
[[0, 1, 1, 0],
[0, 3, 1, 3],
[2, 1, 3, 4]],
[[0, 0, 0, 4],
[4, 4, 4, 2],
[4, 2, 4, 4]],
[[4, 1, 1, 3],
[3, 4, 3, 2],
[3, 3, 1, 4]]],
[[[0, 2, 1, 3],
[3, 0, 4, 4],
[2, 3, 4, 3]],
[[1, 2, 3, 0],
[0, 2, 4, 4],
[0, 4, 1, 2]],
[[2, 4, 3, 0],
[1, 1, 0, 2],
[2, 4, 3, 4]],
[[4, 3, 1, 0],
[0, 2, 2, 4],
[3, 1, 2, 3]],
[[4, 1, 3, 1],
[2, 0, 3, 1],
[1, 1, 2, 1]]],
[[[3, 0, 2, 2],
[3, 4, 2, 4],
[3, 3, 0, 2]],
[[4, 0, 2, 0],
[4, 1, 4, 4],
[0, 3, 0, 4]],
[[0, 4, 1, 0],
[2, 3, 2, 3],
[0, 1, 0, 0]],
[[4, 1, 3, 3],
[0, 2, 2, 2],
[4, 0, 1, 1]],
[[3, 3, 2, 4],
[1, 0, 1, 0],
[3, 3, 1, 0]]],
[[[1, 2, 1, 1],
[2, 2, 1, 1],
[3, 1, 3, 0]],
[[0, 0, 3, 0],
[2, 3, 3, 0],
[3, 1, 0, 2]],
[[3, 4, 3, 0],
[4, 2, 2, 1],
[0, 1, 2, 4]],
[[1, 4, 3, 3],
[0, 1, 3, 0],
[3, 2, 3, 2]],
[[0, 2, 0, 0],
[1, 2, 1, 4],
[3, 0, 1, 3]]],
[[[2, 4, 2, 2],
[1, 0, 0, 3],
[3, 4, 3, 4]],
[[2, 2, 2, 1],
[0, 3, 0, 4],
[2, 1, 1, 1]],
[[2, 4, 3, 4],
[0, 4, 1, 4],
[0, 1, 0, 3]],
[[0, 3, 4, 2],
[4, 2, 2, 4],
[4, 4, 2, 4]],
[[3, 4, 4, 0],
[1, 0, 3, 1],
[1, 4, 0, 2]]],
[[[3, 4, 1, 0],
[0, 1, 4, 3],
[0, 0, 0, 4]],
[[4, 3, 3, 0],
[3, 4, 3, 0],
[4, 0, 4, 1]],
[[4, 1, 4, 4],
[3, 0, 0, 0],
[1, 3, 0, 3]],
[[3, 3, 2, 0],
[2, 2, 2, 1],
[4, 0, 4, 3]],
[[3, 0, 1, 0],
[4, 2, 2, 1],
[1, 3, 4, 2]]]]]]
Outputs:
loss: shape=(3, 6, 6, 5, 3, 4), dtype=float32
[[[[[[-5.53159177e-01, -4.66474682e-01, -6.28301382e-01, -5.37691057e-01],
[-4.14953202e-01, -5.07799447e-01, -3.97134036e-01, -6.49871707e-01],
[-5.33455729e-01, -4.63861972e-01, -5.15316166e-02, -1.33497491e-01]],
[[-6.20390654e-01, -2.40287274e-01, -7.20675647e-01, -4.11563784e-01],
[-8.80479693e-01, -7.75545776e-01, -5.03904462e-01, -3.71071368e-01],
[-8.33981276e-01, -9.39080596e-01, -2.88838357e-01, -8.66413355e-01]],
[[-5.97396076e-01, -8.30311954e-01, -3.38279486e-01, -7.13541031e-01],
[-3.87514085e-02, -3.34013015e-01, -1.99225485e-01, -1.12546049e-01],
[-1.34368330e-01, -2.77771745e-02, -3.18586677e-01, -1.31728008e-01]],
[[-2.92101979e-01, -2.16563895e-01, -5.06134272e-01, -5.07203639e-01],
[-7.14003265e-01, -3.62915009e-01, -5.67167282e-01, -3.26161504e-01],
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Differences with previous version (12)#
SchemaDiff: NegativeLogLikelihoodLoss (domain 'ai.onnx')
old version: 12
new version: 13
breaking: no