Files
keras-js/test/convolutional/data_AtrousConvolution2D.js

107 lines
13 KiB
JavaScript

// TEST DATA
// Keyed by mocha test ID
// Python code for generating test data can be found in the matching jupyter notebook in folder `notebooks/`.
(function () {
var DATA = {
'convolutional.AtrousConvolution2D.0': {
input: {
data: [-0.990562, -0.756862, 0.341498, 0.651706, -0.726587, 0.150187, 0.782644, -0.581596, -0.629344, -0.783246, -0.560605, 0.957248, 0.623366, -0.656118, 0.632449, -0.451853, -0.136592, 0.88006, 0.635299, -0.327776, -0.649179, -0.254336, -0.988623, -0.495147, 0.591325, -0.96949, 0.197687, 0.207609, -0.789705, -0.236113, -0.927048, 0.780823, 0.961842, -0.880116, 0.781092, 0.153803, 0.484959, 0.260368, 0.163684, -0.959122, -0.579947, 0.08937, 0.53823, -0.49861, -0.428209, 0.70479, 0.950013, 0.769707, -0.280984, 0.197718],
shape: [5, 5, 2]
},
weights: [
{
data: [0.08681, -0.443261, -0.150965, 0.689552, -0.990562, -0.756862, 0.341498, 0.651706, -0.726587, 0.150187, 0.782644, -0.581596, -0.629344, -0.783246, -0.560605, 0.957248, 0.623366, -0.656118, 0.632449, -0.451853, -0.136592, 0.88006, 0.635299, -0.327776, -0.649179, -0.254336, -0.988623, -0.495147, 0.591325, -0.96949, 0.197687, 0.207609, -0.789705, -0.236113, -0.927048, 0.780823, 0.961842, -0.880116, 0.781092, 0.153803, 0.484959, 0.260368, 0.163684, -0.959122, -0.579947, 0.08937, 0.53823, -0.49861, -0.428209, 0.70479, 0.950013, 0.769707, -0.280984, 0.197718, -0.290409, -0.31962, -0.643838, -0.524612, -0.910275, 0.010863, -0.247495, 0.185611, 0.259884, -0.714799, 0.867683, 0.89276, 0.204593, -0.224467, -0.273624, -0.591309, -0.44647, -0.506928],
shape: [3, 3, 2, 4]
},
{
data: [0.08681, -0.443261, -0.150965, 0.689552],
shape: [4]
}
],
expected: {
data: [-0.449265, 0.56076, -2.92837, 1.056555],
shape: [1, 1, 4]
}
},
'convolutional.AtrousConvolution2D.1': {
input: {
data: [0.303535, -0.150862, 0.313191, -0.581677, 0.319849, 0.059247, 0.497041, -0.812486, 0.569044, 0.374484, 0.390157, -0.006267, 0.950722, -0.592945, -0.401959, -0.544688, -0.903662, 0.807943, -0.839793, 0.214433, 0.261693, -0.244116, -0.973518, 0.684439, -0.230125, 0.103332, 0.421076, 0.350558, 0.389129, -0.315086, -0.175219, -0.520418, 0.937672, -0.422886, -0.705377, -0.741319, 0.888112, -0.297131, 0.467135, 0.827779, 0.401975, -0.222937, 0.884519, 0.472983, -0.523071, 0.647547, 0.521227, -0.210582, -0.599624, 0.425193],
shape: [5, 5, 2]
},
weights: [
{
data: [0.032797, 0.141335, -0.943052, -0.656957, 0.370554, 0.667794, -0.386068, 0.787226, 0.443088, -0.620122, 0.108455, -0.295736, -0.636215, 0.571204, 0.930966, -0.535293, -0.832877, 0.207097, 0.457986, -0.447522, 0.370613, 0.035735, -0.903031, -0.724262, -0.626065, 0.988636, 0.041331, 0.157579, 0.469638, 0.083924, 0.826307, 0.61584, -0.194004, -0.285551, 0.905753, -0.312737, 0.7302, 0.660555, 0.076323, 0.844939, -0.805707, -0.794305, 0.403015, 0.78096, -0.680879, -0.448855, 0.344983, -0.671394, 0.402742, -0.02473, 0.361356, 0.043096, -0.913207, -0.552127, 0.15041, -0.759133, 0.000233, -0.723981, -0.894383, -0.643446, -0.115264, 0.755175, 0.898528, -0.043665, -0.077761, 0.274578, -0.350784, -0.764844, -0.897798, 0.275317, 0.624532, 0.340521],
shape: [3, 3, 2, 4]
}
],
expected: {
data: [-0.578839, 1.046696, 1.078234, 0.69352],
shape: [1, 1, 4]
}
},
'convolutional.AtrousConvolution2D.2': {
input: {
data: [0.157479, 0.618035, -0.665503, -0.37571, -0.284137, -0.016505, -0.019604, 0.78882, -0.635179, -0.277676, 0.621183, -0.333106, 0.037901, -0.47676, -0.738144, -0.755166, 0.103315, -0.941233, 0.20555, 0.501765, -0.501859, -0.604645, 0.147912, 0.803597, 0.032433, -0.197603, 0.034979, 0.874782, 0.700816, -0.648994, 0.039638, 0.011529, -0.302879, -0.858314, 0.151964, -0.196575, 0.82283, 0.617771, -0.735886, 0.429729, -0.306674, 0.228823, -0.425021, 0.971139, -0.455574, 0.638783, 0.199032, 0.44091, 0.91975, -0.814286, -0.088979, 0.765096, 0.395408, -0.357503, -0.275416, 0.467275, 0.245085, -0.563436, 0.96541, -0.199388, 0.43292, -0.389609, 0.298369, -0.25199, -0.266434, -0.949491, -0.303867, -0.024641, -0.221058, -0.27166, -0.014907, -0.92768, -0.54906, -0.731149, 0.600323, 0.352064, -0.730288, 0.065041, 0.53791, -0.398966, -0.180102, -0.233353, 0.95265, 0.076114, 0.820989, -0.637627, -0.434933, -0.836859, -0.781756, 0.2022, 0.420213, -0.359623, 0.460477, 0.643565, -0.143274, -0.63885, -0.803257, 0.287415],
shape: [7, 7, 2]
},
weights: [
{
data: [0.195363, 0.351974, -0.401437, 0.461481, 0.157479, 0.618035, -0.665503, -0.37571, -0.284137, -0.016505, -0.019604, 0.78882, -0.635179, -0.277676, 0.621183, -0.333106, 0.037901, -0.47676, -0.738144, -0.755166, 0.103315, -0.941233, 0.20555, 0.501765, -0.501859, -0.604645, 0.147912, 0.803597, 0.032433, -0.197603, 0.034979, 0.874782, 0.700816, -0.648994, 0.039638, 0.011529, -0.302879, -0.858314, 0.151964, -0.196575, 0.82283, 0.617771, -0.735886, 0.429729, -0.306674, 0.228823, -0.425021, 0.971139, -0.455574, 0.638783, 0.199032, 0.44091, 0.91975, -0.814286, -0.088979, 0.765096, 0.395408, -0.357503, -0.275416, 0.467275, 0.245085, -0.563436, 0.96541, -0.199388, 0.43292, -0.389609, 0.298369, -0.25199, -0.266434, -0.949491, -0.303867, -0.024641],
shape: [3, 3, 2, 4]
},
{
data: [0.195363, 0.351974, -0.401437, 0.461481],
shape: [4]
}
],
expected: {
data: [0.0, 2.241294, 0.0, 1.107507],
shape: [1, 1, 4]
}
},
'convolutional.AtrousConvolution2D.3': {
input: {
data: [0.655264, 0.174343, -0.081293, 0.64537, 0.643096, -0.385759, -0.598211, -0.193535, 0.895779, 0.355089, 0.21795, 0.344727, -0.984035, -0.32688, -0.285455, -0.02788, 0.756565, 0.509817, 0.26093, -0.247033, 0.180323, 0.474657, 0.192293, -0.815041, -0.195458, 0.179373, -0.769174, -0.223611, -0.880477, 0.167916, -0.666549, -0.303809, -0.156202, -0.501052, 0.539906, 0.10262, -0.947416, 0.541952, -0.813565, 0.405592, 0.159078, 0.198436, 0.71454, 0.102339, -0.835312, 0.466992, 0.067715, -0.315822, -0.056778, -0.556856, -0.647049, -0.050928, -0.277526, 0.64888, -0.708, 0.639138, -0.632262, 0.126027, -0.751824, 0.387838, -0.924068, -0.411933, 0.793635, -0.432359, -0.568279, -0.942986, -0.929277, 0.746907, 0.954599, -0.470971, 0.887461, -0.919761, -0.423457, 0.359481, 0.23833, 0.4367, 0.136035, 0.837921, 0.01252, 0.76166, -0.067006, -0.569453, 0.707085, -0.685992, -0.972653, 0.424172, -0.023413, -0.494544, 0.239537, -0.357146, -0.832116, 0.911805, -0.493355, 0.799492, 0.907763, 0.590698],
shape: [4, 8, 3]
},
weights: [
{
data: [-0.135778, -0.651569, -0.658113, 0.655264, 0.174343, -0.081293, 0.64537, 0.643096, -0.385759, -0.598211, -0.193535, 0.895779, 0.355089, 0.21795, 0.344727, -0.984035, -0.32688, -0.285455, -0.02788, 0.756565, 0.509817, 0.26093, -0.247033, 0.180323, 0.474657, 0.192293, -0.815041, -0.195458, 0.179373, -0.769174, -0.223611, -0.880477, 0.167916, -0.666549, -0.303809, -0.156202, -0.501052, 0.539906, 0.10262, -0.947416, 0.541952, -0.813565, 0.405592, 0.159078, 0.198436, 0.71454, 0.102339, -0.835312, 0.466992, 0.067715, -0.315822, -0.056778, -0.556856, -0.647049, -0.050928, -0.277526, 0.64888, -0.708, 0.639138, -0.632262, 0.126027, -0.751824, 0.387838, -0.924068, -0.411933, 0.793635, -0.432359, -0.568279, -0.942986, -0.929277, 0.746907, 0.954599, -0.470971, 0.887461, -0.919761, -0.423457, 0.359481, 0.23833, 0.4367, 0.136035, 0.837921, 0.01252, 0.76166, -0.067006, -0.569453, 0.707085, -0.685992, -0.972653, 0.424172, -0.023413, -0.494544, 0.239537, -0.357146, -0.832116, 0.911805, -0.493355, 0.799492, 0.907763, 0.590698, -0.657319, -0.899599, 0.66576, -0.026552, -0.808517, 0.761201, 0.060031, 0.911167, -0.541875, -0.052366, -0.677874, -0.540037, 0.858037, 0.841428, 0.664757, 0.159247, -0.408513, 0.157763, 0.953228, -0.419758, 0.13644, 0.857617, 0.935383, -0.725736, 0.482768, 0.919937, 0.516163, 0.078243, 0.504286, 0.149417, 0.153285, -0.686413, -0.515197, 0.529735, -0.671812, 0.737835, 0.760286, -0.825563, 0.862511, -0.185154, 0.436687, -0.452091, -0.048684, 0.142544, 0.590622],
shape: [4, 4, 3, 3]
},
{
data: [-0.135778, -0.651569, -0.658113],
shape: [3]
}
],
expected: {
data: [1.131317, 0.0, 0.0, 0.809904, 0.0, 0.0, 0.056086, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.251846, 0.0, 0.650556, 0.628197, 0.0, 0.0, 1.029379, 0.0, 2.939306, 0.23459, 0.0, 0.385831, 0.0, 0.0, 1.017464, 0.18825, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.247988, 0.083916, 0.0, 0.0, 0.202801, 0.0, 0.137876, 1.309465, 0.0, 0.0, 0.969843, 0.531891, 0.0, 0.0, 0.06576, 0.0, 0.0, 0.0, 0.0, 0.096874, 0.0, 1.147747, 0.0, 0.0, 0.155811, 0.0, 0.331866, 0.0, 0.319746, 0.0, 0.0, 0.0, 0.0, 1.384199, 0.0, 1.856335, 0.0, 1.686605, 0.0, 0.0, 0.0, 0.0, 0.0, 1.802758, 0.0, 0.0, 0.0, 0.102891, 0.0, 0.0, 1.089357, 0.617667, 0.0, 0.0, 0.543751],
shape: [4, 8, 3]
}
},
'convolutional.AtrousConvolution2D.4': {
input: {
data: [-0.628587, 0.544275, -0.189121, 0.991809, -0.028349, 0.30284, 0.201092, -0.953154, -0.343083, 0.640537, -0.117391, -0.526633, -0.163892, 0.861458, -0.665795, 0.51919, -0.753596, 0.337708, 0.402785, 0.315812, 0.541968, 0.870102, -0.141283, -0.469735, -0.574406, -0.571765, 0.046045, -0.790043, -0.953079, -0.774733, -0.58544, -0.882147, 0.282331, 0.214534, 0.862629, -0.446078, 0.230215, 0.308982, -0.361978, -0.850926, 0.409799, 0.710712, -0.391058, -0.542441, -0.41638, 0.558765, -0.149949, -0.864061, -0.759997, -0.265417, -0.331629, -0.845702, 0.426935, -0.731659, 0.062865, -0.255582, 0.396332, 0.639196, -0.078254, -0.253246, 0.792036, 0.044105, 0.879927, -0.987868, -0.35422, 0.924714, 0.304954, -0.870234, -0.611808, 0.138739, 0.526129, -0.170329, 0.504868, -0.454139, 0.245234, 0.479283, 0.651594, -0.447885, -0.78716, -0.537367, -0.578885, -0.3999, -0.981424, 0.584097, -0.461375, 0.948907, 0.763872, -0.720626, -0.572361, 0.780094, -0.385637, 0.90998, -0.697513, 0.366373, -0.427147, 0.423096, -0.55829, 0.769474, -0.484912, -0.731131, -0.794623, 0.19042, 0.537997, -0.390004, -0.697993, -0.710914, -0.222541, -0.375822, 0.236956, -0.978421, -0.834872, 0.29127, 0.125375, 0.82053, 0.953645, 0.931806, 0.170904, -0.474968, -0.266042, -0.021253, 0.449315, 0.266589, 0.405989, 0.663497, 0.762836, -0.421562, 0.664906, 0.130767],
shape: [8, 8, 2]
},
weights: [
{
data: [-0.704159, -0.543403, 0.614987, -0.403051, -0.628587, 0.544275, -0.189121, 0.991809, -0.028349, 0.30284, 0.201092, -0.953154, -0.343083, 0.640537, -0.117391, -0.526633, -0.163892, 0.861458, -0.665795, 0.51919, -0.753596, 0.337708, 0.402785, 0.315812, 0.541968, 0.870102, -0.141283, -0.469735, -0.574406, -0.571765, 0.046045, -0.790043, -0.953079, -0.774733, -0.58544, -0.882147, 0.282331, 0.214534, 0.862629, -0.446078, 0.230215, 0.308982, -0.361978, -0.850926, 0.409799, 0.710712, -0.391058, -0.542441, -0.41638, 0.558765, -0.149949, -0.864061, -0.759997, -0.265417, -0.331629, -0.845702, 0.426935, -0.731659, 0.062865, -0.255582, 0.396332, 0.639196, -0.078254, -0.253246, 0.792036, 0.044105, 0.879927, -0.987868, -0.35422, 0.924714, 0.304954, -0.870234],
shape: [3, 3, 2, 4]
},
{
data: [-0.704159, -0.543403, 0.614987, -0.403051],
shape: [4]
}
],
expected: {
data: [1.008111, 0.862141, 1.53732, 0.0, 0.0, 0.0, 2.278924, 0.0, 0.192175, 0.256028, 1.00272, 0.0, 0.0, 0.0, 0.0, 1.28356, 0.0, 0.0, 1.295987, 0.0, 0.0, 0.0, 0.522589, 0.0, 0.0, 0.0, 1.593745, 0.0, 0.094799, 1.375385, 1.350499, 0.637961, 0.0, 0.393093, 1.508163, 1.045792, 0.0, 0.580916, 0.774659, 0.0, 0.0, 0.0, 1.090937, 0.2098, 0.0, 0.0, 0.706958, 0.948835, 0.0, 0.0, 0.70246, 1.233015, 0.0, 0.0, 0.0, 0.0, 0.0, 0.237716, 0.150121, 0.0, 0.012937, 1.067614, 0.259571, 0.895802, 0.0, 0.127769, 0.0, 0.0, 0.0, 0.0, 0.0, 0.517957, 0.0, 0.0, 0.524233, 0.079491, 0.0, 0.0, 0.0, 1.424679, 0.0, 0.0, 0.798433, 0.0, 0.752754, 0.49452, 0.564184, 1.320468, 0.0, 0.0, 1.469927, 0.075539, 0.0, 0.760117, 0.0, 0.961547, 0.938599, 1.264279, 0.857871, 0.0, 0.114331, 0.0, 0.753579, 0.0, 0.0, 0.0, 0.020539, 0.0, 0.0, 0.0, 1.035394, 0.0, 0.0, 0.0, 0.745973, 0.0, 0.0, 0.070491, 0.0, 0.0, 0.0, 0.0, 0.308166, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.911015, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.178493, 1.44698, 0.0, 0.0, 0.0, 1.45985, 0.298695, 0.0, 0.0, 0.0, 0.0, 0.0, 0.402046, 0.536043, 1.160239, 0.0, 0.0, 0.0, 0.0, 0.575623, 0.009206, 0.639194, 0.0, 0.353097, 0.0, 0.471996, 0.411527, 1.148312, 0.966958, 1.172197, 0.0, 0.419191, 0.0, 2.142206, 0.0, 0.0, 0.0, 0.0, 0.0, 0.508378, 0.0, 1.110668, 1.82902, 0.0, 0.0, 2.081267, 0.05382, 0.0, 0.0, 1.5163, 1.476838, 1.364327, 0.033732, 1.076706, 0.609169, 0.0, 0.149234, 2.181282, 0.780896, 0.0, 0.0, 0.763411, 0.0, 0.0, 0.0, 2.053607, 0.12022, 0.0, 0.0, 0.0, 0.29116, 0.0, 0.0, 0.656705, 0.0, 0.0, 0.0, 1.055828, 0.634612, 0.0, 0.0, 0.0, 0.363467, 1.779839, 0.0, 1.270641, 0.15881, 0.0, 0.020913, 0.854418, 0.0, 0.0, 0.0, 0.436751, 0.0, 0.0, 0.0, 0.0, 0.0, 0.436203, 0.236268, 0.0, 0.0, 0.0, 0.0, 0.189446, 0.0, 0.0, 0.0, 0.827813, 0.0, 0.0, 0.0, 0.31375, 0.0, 0.0, 0.0, 0.755046, 0.0],
shape: [8, 8, 4]
}
}
}
window.TEST_DATA = Object.assign({}, window.TEST_DATA, DATA)
})()