add some test

test/test.ipynb

@@ -0,0 +1,118 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import jax, jax.numpy as jnp"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "LABELS = jax.random.uniform(jax.random.PRNGKey(0), (5, 1))  # the annotated labels y"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pairwise_labels = LABELS - LABELS.T"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(Array([[0.57450044],\n",
+       "        [0.09968603],\n",
+       "        [0.39316022],\n",
+       "        [0.8941783 ],\n",
+       "        [0.59656656]], dtype=float32),\n",
+       " Array([[ 0.        ,  0.47481441,  0.18134022, -0.31967783, -0.02206612],\n",
+       "        [-0.47481441,  0.        , -0.2934742 , -0.79449224, -0.49688053],\n",
+       "        [-0.18134022,  0.2934742 ,  0.        , -0.50101805, -0.20340633],\n",
+       "        [ 0.31967783,  0.79449224,  0.50101805,  0.        ,  0.2976117 ],\n",
+       "        [ 0.02206612,  0.49688053,  0.20340633, -0.2976117 ,  0.        ]],      dtype=float32))"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "LABELS, pairwise_labels"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def binary_cross_entropy(prediction, target):\n",
+    "    return -(target * jnp.log(prediction) + (1 - target) * jnp.log(1 - prediction))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Array(0.6931472, dtype=float32, weak_type=True)"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "binary_cross_entropy(0.5, 1)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "jax_env",
+   "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": "3.10.14"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}