deploy: 9c168cc

Author: ishii-norimi

README.md

@@ -213,7 +213,7 @@ for (let i = 0; i < n; i++) {
 | function | absolute, acos, acosh, APL, Aranda, asin, asinh, atan, atanh, attention, batch normalization, BDAA, Bent identity, BLU, BReLU, ceil, CELU, cloglog, cloglogm, cos, cosh, CReLU, EELU, (hard) ELiSH, Elliott, ELU, embedding, EReLU, erf, ESwish, exp, FELU, full, floor, FReLU, gaussian, GELU, Hard shrink, Hexpo, identity, ISigmoid, layer normalization, Leaky ReLU, LiSHT, log, loglog, logsigmoid, mish, MPELU, MTLU, negative, NLReLU, PAU, PDELU, PELU, PLU, PReLU, PREU, PSF, pTanh, PTELU, reciprocal, ReLU, RePU, ReSech, REU, rootsig, round, RReLU, RTReLU, SELU, (hard) sigmoid, sign, SiLU, sin, sinh, SLAF, SLU, softmax, softplus, Soft shrink, softsign, sqrt, square, SReLU, SRS, sSigmoid, sTanh, (hard) Swish, TAF, tan, (hard) tanh, tanhExp, tanShrink, Thresholded ReLU |
 | operator | add, sub, mult, div, mod, matmul, power, max, min |
 | logical | and, bitwise and, bitwise not, bitwise or, bitwise xor, equal, greater, greater or equal, is inf, is nan, left bitshift, less, less or equal, not, or, right bitshift, xor |
-| convolute | convolution, (Global) MaxPool, (Global) AveragePool, (Global) LpPool, LRN |
+| convolute | convolution, (Global) MaxPool, (Global) AveragePool, (Global) LpPool, LRN, UpSampling |
 | recurrent | GRU, LSTM, Simple RNN |
 | reduce | sum, mean, prod, variance, std, reduce max, reduce min, argmax, softargmax |
 | graph | convolutional, SAGE, readout |

docs/index.html

@@ -362,7 +362,7 @@ <h2 id="neuralnetwork-layers" class="tsd-anchor-link">NeuralNetwork layers<a hre
 </tr>
 <tr>
 <td>convolute</td>
-<td>convolution, (Global) MaxPool, (Global) AveragePool, (Global) LpPool, LRN</td>
+<td>convolution, (Global) MaxPool, (Global) AveragePool, (Global) LpPool, LRN, UpSampling</td>
 </tr>
 <tr>
 <td>recurrent</td>

lib/model/nns/layer/index.js

@@ -0,0 +1 @@
+import{UpSamplingLayer as p}from"./index.js";export default p;