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Commit fbc324b

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author
xyliao
committed
fix param_bug
1 parent eed1aa3 commit fbc324b

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1 file changed

+60
-78
lines changed

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+60
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‎chapter3_NN/param_initialize.ipynb‎

Lines changed: 60 additions & 78 deletions
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@@ -25,7 +25,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"execution_count": 1,
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"metadata": {
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"collapsed": true
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},
@@ -38,7 +38,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"execution_count": 2,
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"metadata": {
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"collapsed": true
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},
@@ -56,7 +56,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"execution_count": 3,
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"metadata": {
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"collapsed": true
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},
@@ -69,23 +69,21 @@
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"metadata": {
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"collapsed": false
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},
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Parameter containing:\n",
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"-0.0221 -0.0171 0.1221 ... -0.0452 -0.1715 -0.0637\n",
83-
"-0.0922 -0.1111 0.0822 ... 0.0316 0.1020 -0.0585\n",
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"-0.0830 0.1037 -0.0572 ... -0.1465 -0.1049 -0.0566\n",
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" 0.1236 -0.1731 -0.0479 ... 0.0031 0.0784 0.1239\n",
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" 0.0713 0.1615 0.0500 ... -0.1757 -0.1274 -0.1625\n",
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" 0.0638 -0.1543 -0.0362 ... 0.0316 -0.1774 -0.1242\n",
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" ... ⋱ ... \n",
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" 0.1485 0.1137 0.1745 ... 0.0073 0.0887 0.1143\n",
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" 0.1634 -0.1478 0.0930 ... 0.1418 -0.0501 0.1266\n",
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" 0.0943 -0.1595 -0.1742 ... -0.1531 0.0786 -0.1594\n",
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" 0.1551 0.1772 0.1537 ... 0.0730 0.0950 0.0627\n",
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" 0.0495 0.0896 0.0243 ... -0.1302 -0.0256 -0.0326\n",
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"-0.1193 -0.0989 -0.1795 ... 0.0939 0.0774 -0.0751\n",
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"[torch.FloatTensor of size 40x30]\n",
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"\n"
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]
@@ -104,7 +102,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"execution_count": 5,
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"metadata": {
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"collapsed": true
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},
@@ -116,23 +114,21 @@
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"metadata": {
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"collapsed": false
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},
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"execution_count": 6,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Parameter containing:\n",
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" 4.6904 3.5478 4.0254 ... 3.6078 4.6897 4.8285\n",
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" 4.6349 3.4475 4.8485 ... 3.8712 3.9396 4.7797\n",
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" 3.0177 3.4870 4.5741 ... 4.6718 4.2548 4.6343\n",
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" 4.5768 3.6175 3.3098 ... 4.7374 4.0164 3.3037\n",
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" 4.1809 3.5624 3.1452 ... 3.0305 4.4444 4.1058\n",
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" 3.5277 4.3712 3.7859 ... 3.5760 4.8559 4.3252\n",
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" ... ⋱ ... \n",
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" 3.3116 3.2907 4.5550 ... 3.5882 4.4668 3.6532\n",
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" 4.2998 4.6337 3.8836 ... 3.1220 4.0567 4.3605\n",
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" 4.3862 4.5433 4.1909 ... 4.2792 4.7513 3.7076\n",
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" 4.8983 3.9855 3.2842 ... 4.7683 4.7590 3.3498\n",
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" 4.9168 4.5723 3.5870 ... 3.2032 3.9842 3.2484\n",
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" 4.2532 4.6352 4.4857 ... 3.7543 3.9885 4.4211\n",
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"[torch.DoubleTensor of size 40x30]\n",
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"\n"
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]
@@ -151,10 +147,8 @@
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},
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{
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"cell_type": "code",
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"execution_count": 18,
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"metadata": {
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"collapsed": false
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},
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"execution_count": 7,
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"metadata": {},
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"outputs": [],
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"source": [
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"for layer in net1:\n",
@@ -188,7 +182,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 28,
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"execution_count": 8,
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"metadata": {
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"collapsed": true
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},
@@ -202,7 +196,7 @@
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" nn.ReLU()\n",
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" )\n",
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" \n",
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" self.l1[0].weight.data = torch.randn(30, 40) # 直接对某一层初始化\n",
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" self.l1[0].weight.data = torch.randn(40, 30) # 直接对某一层初始化\n",
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" \n",
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" self.l2 = nn.Sequential(\n",
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" nn.Linear(40, 50),\n",
@@ -223,7 +217,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 29,
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"execution_count": 9,
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"metadata": {
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"collapsed": true
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},
@@ -234,10 +228,8 @@
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},
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{
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"cell_type": "code",
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"execution_count": 30,
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"metadata": {
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"collapsed": false
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},
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"execution_count": 10,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
@@ -266,10 +258,8 @@
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},
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{
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"cell_type": "code",
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"execution_count": 31,
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"metadata": {
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"collapsed": false
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},
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"execution_count": 11,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
@@ -327,10 +317,8 @@
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},
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{
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"cell_type": "code",
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"execution_count": 33,
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"metadata": {
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"collapsed": false
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},
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"execution_count": 12,
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"metadata": {},
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"outputs": [],
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"source": [
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"for layer in net2.modules():\n",
@@ -356,7 +344,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 34,
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"execution_count": 13,
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"metadata": {
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"collapsed": true
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},
@@ -367,23 +355,21 @@
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},
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{
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"cell_type": "code",
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"execution_count": 38,
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"metadata": {
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"collapsed": false
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},
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"execution_count": 14,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Parameter containing:\n",
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" 0.2051 -0.4551 0.7049 ... 0.5223 -0.7658 -0.1899\n",
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" 0.2562 0.2797 0.0012 ... -0.5278 -0.4887 -0.8263\n",
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" 0.4582 -0.1433 0.5009 ... 0.1000 -0.5663 0.1605\n",
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" 0.8453 0.2891 -0.5276 ... -0.1530 -0.4474 -0.5470\n",
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"-0.1983 -0.4530 -0.1950 ... 0.4107 -0.4889 0.3654\n",
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" 0.9149 -0.5641 -0.6594 ... 0.0734 0.1354 -0.4152\n",
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" ... ⋱ ... \n",
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" 0.8715 0.4053 0.3679 ... -0.4733 -0.6270 -0.3325\n",
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"-0.1898 0.6608 0.1111 ... 0.2294 0.2603 -0.0200\n",
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"-0.3035 0.1876 -0.5422 ... 0.0505 0.6244 -0.2368\n",
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"-0.4718 -0.5125 -0.5572 ... 0.0824 -0.6551 0.0840\n",
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"-0.2374 -0.0036 0.6497 ... 0.7856 -0.1367 -0.8795\n",
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" 0.0774 0.2609 -0.2358 ... -0.8196 0.1696 0.5976\n",
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"[torch.DoubleTensor of size 40x30]\n",
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"\n"
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]
@@ -395,26 +381,24 @@
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},
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{
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"cell_type": "code",
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"execution_count": 39,
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"metadata": {
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"collapsed": false
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},
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"execution_count": 15,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"Parameter containing:\n",
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"-0.0449 -0.2140 0.2820 ... -0.2266 0.0365 -0.1897\n",
408-
"-0.0313 0.1128 0.1789 ... -0.1731 0.0590 -0.1085\n",
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"-0.0347 -0.1429 -0.1646 ... 0.0212 0.1731 -0.0251\n",
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"-0.2114 0.2704 -0.2186 ... 0.1727 0.2158 0.0775\n",
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"-0.0736 -0.0565 0.0844 ... 0.1793 0.2520 -0.0047\n",
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" 0.1331 -0.1843 0.2426 ... -0.2199 -0.0689 0.1756\n",
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" ... ⋱ ... \n",
411-
" 0.0902 -0.1555 0.0562 ... -0.0109 -0.2192 -0.1540\n",
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"-0.1491 -0.2610 -0.2453 ... 0.2201 0.2257 0.1047\n",
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" 0.0297 0.1414 -0.0139 ... -0.1209 -0.0193 -0.1731\n",
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" 0.2751 -0.1404 0.1225 ... 0.1926 0.0175 -0.2099\n",
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" 0.0970 -0.0733 -0.2461 ... 0.0605 0.1915 -0.1220\n",
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" 0.0199 0.1283 -0.1384 ... -0.0344 -0.0560 0.2285\n",
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"[torch.DoubleTensor of size 40x30]"
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]
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},
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"execution_count": 39,
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"execution_count": 15,
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"metadata": {},
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"output_type": "execute_result"
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}
@@ -425,23 +409,21 @@
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},
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{
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"cell_type": "code",
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"execution_count": 40,
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"metadata": {
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"collapsed": false
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},
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"execution_count": 16,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Parameter containing:\n",
438-
"-0.0449 -0.2140 0.2820 ... -0.2266 0.0365 -0.1897\n",
439-
"-0.0313 0.1128 0.1789 ... -0.1731 0.0590 -0.1085\n",
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"-0.0347 -0.1429 -0.1646 ... 0.0212 0.1731 -0.0251\n",
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"-0.2114 0.2704 -0.2186 ... 0.1727 0.2158 0.0775\n",
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"-0.0736 -0.0565 0.0844 ... 0.1793 0.2520 -0.0047\n",
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" 0.1331 -0.1843 0.2426 ... -0.2199 -0.0689 0.1756\n",
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" ... ⋱ ... \n",
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" 0.0902 -0.1555 0.0562 ... -0.0109 -0.2192 -0.1540\n",
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"-0.1491 -0.2610 -0.2453 ... 0.2201 0.2257 0.1047\n",
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" 0.0297 0.1414 -0.0139 ... -0.1209 -0.0193 -0.1731\n",
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" 0.2751 -0.1404 0.1225 ... 0.1926 0.0175 -0.2099\n",
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" 0.0970 -0.0733 -0.2461 ... 0.0605 0.1915 -0.1220\n",
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" 0.0199 0.1283 -0.1384 ... -0.0344 -0.0560 0.2285\n",
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"[torch.DoubleTensor of size 40x30]\n",
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"\n"
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]
@@ -472,9 +454,9 @@
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],
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"metadata": {
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"kernelspec": {
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"display_name": "mx",
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"display_name": "Python 3",
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"language": "python",
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"name": "mx"
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.0"
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"version": "3.6.3"
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}
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},
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"nbformat": 4,

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