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体验新版 GitCode,发现更多精彩内容 >>
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a62bbd1d
编写于
5月 25, 2018
作者:
K
Kexin Zhao
提交者:
GitHub
5月 25, 2018
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电子邮件补丁
差异文件
fix float16 demo location issue (#10948)
上级
fb43c6b4
变更
2
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2 changed file
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2 addition
and
6 deletion
+2
-6
paddle/contrib/float16/README.md
paddle/contrib/float16/README.md
+1
-1
paddle/contrib/float16/run_float16_demo.sh
paddle/contrib/float16/run_float16_demo.sh
+1
-5
未找到文件。
paddle/contrib/float16/README.md
浏览文件 @
a62bbd1d
...
...
@@ -89,7 +89,7 @@ cd Paddle
# to `FROM nvidia/cuda:9.0-cudnn7-devel-ubuntu16.04` and similarly for other configurations
nvidia-docker build
-t
paddle:float16
.
# After running this, different results will be written to different log files in Paddle/contrib/float16/
nvidia-docker run
-it
-v
$PWD
:/paddle paddle:float16 /paddle/contrib/float16/run_float16_demo.sh
nvidia-docker run
-it
-v
$PWD
:/paddle paddle:float16 /paddle/
paddle/
contrib/float16/run_float16_demo.sh
```
#### Accuracy
...
...
paddle/contrib/float16/run_float16_demo.sh
浏览文件 @
a62bbd1d
...
...
@@ -3,7 +3,7 @@
BUILD_PATH
=
/paddle/fp16_build
WHEEL_PATH
=
$BUILD_PATH
/python/dist
INFER_PATH
=
$BUILD_PATH
/paddle/fluid/inference/tests/book
DEMO_PATH
=
/paddle/contrib/float16
DEMO_PATH
=
/paddle/
paddle/
contrib/float16
# Use the single most powerful CUDA GPU on your machine
export
CUDA_VISIBLE_DEVICES
=
0
...
...
@@ -50,7 +50,6 @@ do
--repeat
=
1
\
$INFER_PATH
/test_inference_image_classification_vgg
\
--data_set
=
imagenet
\
--dirname
=
$DEMO_PATH
/image_classification_imagenet_vgg.inference.model
\
--fp16_dirname
=
$DEMO_PATH
/float16_image_classification_imagenet_vgg.inference.model
\
--repeat
=
$REPEAT
\
...
...
@@ -68,7 +67,6 @@ do
--repeat
=
1
\
$INFER_PATH
/test_inference_image_classification_resnet
\
--data_set
=
imagenet
\
--dirname
=
$DEMO_PATH
/image_classification_imagenet_resnet.inference.model
\
--fp16_dirname
=
$DEMO_PATH
/float16_image_classification_imagenet_resnet.inference.model
\
--repeat
=
$REPEAT
\
...
...
@@ -86,7 +84,6 @@ do
--repeat
=
1
\
$INFER_PATH
/test_inference_image_classification_vgg
\
--data_set
=
cifar10
\
--dirname
=
$DEMO_PATH
/image_classification_cifar10_vgg.inference.model
\
--fp16_dirname
=
$DEMO_PATH
/float16_image_classification_cifar10_vgg.inference.model
\
--repeat
=
$REPEAT
\
...
...
@@ -104,7 +101,6 @@ do
--repeat
=
1
\
$INFER_PATH
/test_inference_image_classification_vgg
\
--data_set
=
cifar10
\
--dirname
=
$DEMO_PATH
/image_classification_cifar10_resnet.inference.model
\
--fp16_dirname
=
$DEMO_PATH
/float16_image_classification_cifar10_resnet.inference.model
\
--repeat
=
$REPEAT
\
...
...
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