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Last active May 6, 2019 14:49
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import torch\n",
"from maskrcnn_benchmark.layers.wave_loss import WaveLossWithLogits, wave_loss_with_logits"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"\n",
"x1 = torch.ones(1, 1, 100, 100) * -10000 # [N C H W]\n",
"x2 = torch.zeros(1, 1, 100, 100)\n",
"\n",
"x1[0, 0, 10:60, 10:60] = 10000\n",
"x2[0, 0, 30:80, 40:80] = 1"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"waveLoss, valChanges, spaChanges, newWaves = wave_loss_with_logits(x1, x2, 0.05, 3, [1]*20, list(range(20)), False, True)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"assert waveLoss == 10082.997"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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