wassname/keras-js
1
0
Fork 0
mirror of https://github.com/wassname/keras-js.git synced 2026-09-10 12:15:12 +08:00
Code Issues Packages Projects Releases Wiki Activity

implement UpSampling1D/2D/3D layers, with tests

Browse Source
This commit is contained in:
Leon Chen
2016-08-26 22:29:22 -04:00
parent 032e290607
commit 9b07e511bf
15 changed files with 1185 additions and 6 deletions
Download Patch File Download Diff File Expand all files Collapse all files
test/convolutional/data_UpSampling1D.js
+30
View File
@@ -0,0 +1,30 @@
// 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.UpSampling1D.0': {
input: {
data: [0.262, 0.764609, -0.482897, -0.371755, 0.871769, 0.490033, -0.986894, -0.960468, 0.373039, 0.911356, 0.00298, 0.270652, 0.749006, 0.692235, 0.471778],
shape: [3, 5]
},
expected: {
data: [0.262, 0.764609, -0.482897, -0.371755, 0.871769, 0.262, 0.764609, -0.482897, -0.371755, 0.871769, 0.490033, -0.986894, -0.960468, 0.373039, 0.911356, 0.490033, -0.986894, -0.960468, 0.373039, 0.911356, 0.00298, 0.270652, 0.749006, 0.692235, 0.471778, 0.00298, 0.270652, 0.749006, 0.692235, 0.471778],
shape: [6, 5]
}
},
'convolutional.UpSampling1D.1': {
input: {
data: [0.562988, 0.168418, -0.14658, -0.369311, 0.653777, 0.806859, -0.922124, 0.830445, -0.878989, -0.638546, -0.855401, -0.082476, 0.416718, -0.03353, -0.949107, -0.866195],
shape: [4, 4]
},
expected: {
data: [0.562988, 0.168418, -0.14658, -0.369311, 0.562988, 0.168418, -0.14658, -0.369311, 0.562988, 0.168418, -0.14658, -0.369311, 0.653777, 0.806859, -0.922124, 0.830445, 0.653777, 0.806859, -0.922124, 0.830445, 0.653777, 0.806859, -0.922124, 0.830445, -0.878989, -0.638546, -0.855401, -0.082476, -0.878989, -0.638546, -0.855401, -0.082476, -0.878989, -0.638546, -0.855401, -0.082476, 0.416718, -0.03353, -0.949107, -0.866195, 0.416718, -0.03353, -0.949107, -0.866195, 0.416718, -0.03353, -0.949107, -0.866195],
shape: [12, 4]
}
}
}
window.TEST_DATA = Object.assign({}, window.TEST_DATA, DATA)
})()