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8cf61153
编写于
7月 31, 2020
作者:
M
mindspore-ci-bot
提交者:
Gitee
7月 31, 2020
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差异文件
!595 Unify code formats in notebook for master
Merge pull request !595 from lvmingfu/master
上级
449b31a6
fd366f2c
变更
2
展开全部
隐藏空白更改
内联
并排
Showing
2 changed file
with
3910 addition
and
3920 deletion
+3910
-3920
tutorials/notebook/computer_vision_application.ipynb
tutorials/notebook/computer_vision_application.ipynb
+10
-10
tutorials/notebook/nlp_application.ipynb
tutorials/notebook/nlp_application.ipynb
+3900
-3910
未找到文件。
tutorials/notebook/computer_vision_application.ipynb
浏览文件 @
8cf61153
...
@@ -432,7 +432,7 @@
...
@@ -432,7 +432,7 @@
"name": "stdout",
"name": "stdout",
"output_type": "stream",
"output_type": "stream",
"text": [
"text": [
"
Epoch: [ 1/ 10], step: [ 1875/ 1875], loss: [1.2926], avg los: [1.2926], time: [105040.2632]
\n",
"
epoch: 1 step: 1875, loss is 1.2926
\n",
"Epoch time: 105040.679, per step time: 56.022, avg loss: 1.293\n",
"Epoch time: 105040.679, per step time: 56.022, avg loss: 1.293\n",
"************************************************************\n"
"************************************************************\n"
]
]
...
@@ -452,7 +452,7 @@
...
@@ -452,7 +452,7 @@
"name": "stdout",
"name": "stdout",
"output_type": "stream",
"output_type": "stream",
"text": [
"text": [
"
Epoch: [ 2/ 10], step: [ 1875/ 1875], loss: [0.8226], avg los: [0.8226], time: [58600.0702]
\n",
"
epoch: 2 step: 1875, loss is 0.8226
\n",
"Epoch time: 58600.447, per step time: 31.254, avg loss: 0.823\n",
"Epoch time: 58600.447, per step time: 31.254, avg loss: 0.823\n",
"************************************************************\n"
"************************************************************\n"
]
]
...
@@ -472,7 +472,7 @@
...
@@ -472,7 +472,7 @@
"name": "stdout",
"name": "stdout",
"output_type": "stream",
"output_type": "stream",
"text": [
"text": [
"
Epoch: [ 3/ 10], step: [ 1875/ 1875], loss: [0.6473], avg los: [0.6473], time: [58604.6124]
\n",
"
epoch: 3 step: 1875, loss is 0.6473
\n",
"Epoch time: 58604.997, per step time: 31.256, avg loss: 0.647\n",
"Epoch time: 58604.997, per step time: 31.256, avg loss: 0.647\n",
"************************************************************\n"
"************************************************************\n"
]
]
...
@@ -492,7 +492,7 @@
...
@@ -492,7 +492,7 @@
"name": "stdout",
"name": "stdout",
"output_type": "stream",
"output_type": "stream",
"text": [
"text": [
"
Epoch: [ 4/ 10], step: [ 1875/ 1875], loss: [0.3235], avg los: [0.3235], time: [58602.4463]
\n",
"
epoch: 4 step: 1875, loss is 0.3235
\n",
"Epoch time: 58602.803, per step time: 31.255, avg loss: 0.324\n",
"Epoch time: 58602.803, per step time: 31.255, avg loss: 0.324\n",
"************************************************************\n"
"************************************************************\n"
]
]
...
@@ -512,7 +512,7 @@
...
@@ -512,7 +512,7 @@
"name": "stdout",
"name": "stdout",
"output_type": "stream",
"output_type": "stream",
"text": [
"text": [
"
Epoch: [ 5/ 10], step: [ 1875/ 1875], loss: [0.4524], avg los: [0.4524], time: [58594.3551]
\n",
"
epoch: 5 step: 1875, loss is 0.4524
\n",
"Epoch time: 58594.759, per step time: 31.251, avg loss: 0.452\n",
"Epoch time: 58594.759, per step time: 31.251, avg loss: 0.452\n",
"************************************************************\n"
"************************************************************\n"
]
]
...
@@ -532,7 +532,7 @@
...
@@ -532,7 +532,7 @@
"name": "stdout",
"name": "stdout",
"output_type": "stream",
"output_type": "stream",
"text": [
"text": [
"
Epoch: [ 6/ 10], step: [ 1875/ 1875], loss: [0.5436], avg los: [0.5436], time: [58600.3022]
\n",
"
epoch: 6 step: 1875, loss is 0.5436
\n",
"Epoch time: 58600.685, per step time: 31.254, avg loss: 0.544\n",
"Epoch time: 58600.685, per step time: 31.254, avg loss: 0.544\n",
"************************************************************\n"
"************************************************************\n"
]
]
...
@@ -552,7 +552,7 @@
...
@@ -552,7 +552,7 @@
"name": "stdout",
"name": "stdout",
"output_type": "stream",
"output_type": "stream",
"text": [
"text": [
"
Epoch: [ 7/ 10], step: [ 1875/ 1875], loss: [0.3080], avg los: [0.3080], time: [58599.0782]
\n",
"
epoch: 7 step: 1875, loss is 0.3080
\n",
"Epoch time: 58599.470, per step time: 31.253, avg loss: 0.308\n",
"Epoch time: 58599.470, per step time: 31.253, avg loss: 0.308\n",
"************************************************************\n"
"************************************************************\n"
]
]
...
@@ -572,7 +572,7 @@
...
@@ -572,7 +572,7 @@
"name": "stdout",
"name": "stdout",
"output_type": "stream",
"output_type": "stream",
"text": [
"text": [
"
Epoch: [ 8/ 10], step: [ 1875/ 1875], loss: [0.4420], avg los: [0.4420], time: [58600.0016]
\n",
"
epoch: 8 step: 1875, loss is 0.4420
\n",
"Epoch time: 58600.389, per step time: 31.254, avg loss: 0.442\n",
"Epoch time: 58600.389, per step time: 31.254, avg loss: 0.442\n",
"************************************************************\n"
"************************************************************\n"
]
]
...
@@ -592,7 +592,7 @@
...
@@ -592,7 +592,7 @@
"name": "stdout",
"name": "stdout",
"output_type": "stream",
"output_type": "stream",
"text": [
"text": [
"
Epoch: [ 9/ 10], step: [ 1875/ 1875], loss: [0.2113], avg los: [0.2113], time: [58598.8488]
\n",
"
epoch: 9 step: 1875, loss is 0.2113
\n",
"Epoch time: 58599.249, per step time: 31.253, avg loss: 0.211\n",
"Epoch time: 58599.249, per step time: 31.253, avg loss: 0.211\n",
"************************************************************\n"
"************************************************************\n"
]
]
...
@@ -612,7 +612,7 @@
...
@@ -612,7 +612,7 @@
"name": "stdout",
"name": "stdout",
"output_type": "stream",
"output_type": "stream",
"text": [
"text": [
"
Epoch: [ 10/ 10], step: [ 1875/ 1875], loss: [0.3720], avg los: [0.3720], time: [58583.0929]
\n",
"
epoch: 10 step: 1875, loss is 0.3720
\n",
"Epoch time: 58583.483, per step time: 31.245, avg loss: 0.372\n",
"Epoch time: 58583.483, per step time: 31.245, avg loss: 0.372\n",
"************************************************************\n"
"************************************************************\n"
]
]
...
...
tutorials/notebook/nlp_application.ipynb
浏览文件 @
8cf61153
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