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31 lines
1.4 KiB
JavaScript
31 lines
1.4 KiB
JavaScript
// TEST DATA
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// Keyed by mocha test ID
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// Python code for generating test data can be found in the matching jupyter notebook in folder `notebooks/`.
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(function () {
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var DATA = {
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'convolutional.ZeroPadding1D.0': {
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input: {
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data: [-0.412987, -0.139246, 0.567466, -0.512174, -0.33603, 0.585584, 0.453472, 0.942013, -0.609538, -0.894302, 0.711927, -0.126057, 0.677549, 0.676991, 0.471487],
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shape: [3, 5]
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},
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expected: {
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data: [0.0, 0.0, 0.0, 0.0, 0.0, -0.412987, -0.139246, 0.567466, -0.512174, -0.33603, 0.585584, 0.453472, 0.942013, -0.609538, -0.894302, 0.711927, -0.126057, 0.677549, 0.676991, 0.471487, 0.0, 0.0, 0.0, 0.0, 0.0],
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shape: [5, 5]
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}
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},
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'convolutional.ZeroPadding1D.1': {
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input: {
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data: [0.229895, 0.156613, -0.66952, -0.996975, 0.45773, 0.684298, -0.999213, 0.276751, -0.484373, -0.506163, 0.353904, 0.513668, -0.981594, 0.78914, 0.603978, 0.204066],
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shape: [4, 4]
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},
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expected: {
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data: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.229895, 0.156613, -0.66952, -0.996975, 0.45773, 0.684298, -0.999213, 0.276751, -0.484373, -0.506163, 0.353904, 0.513668, -0.981594, 0.78914, 0.603978, 0.204066, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
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shape: [10, 4]
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}
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}
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}
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window.TEST_DATA = Object.assign({}, window.TEST_DATA, DATA)
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})()
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