未验证 提交 7c0ef004 编写于 作者: L littletomatodonkey 提交者: GitHub

rm fluid in docs, test=document_fix (#385)

上级 18a4c142
...@@ -43,19 +43,6 @@ VALID: ...@@ -43,19 +43,6 @@ VALID:
- ToCHWImage: - ToCHWImage:
``` ```
>>
* Q: What should I do if I want to transform the weights' format from `pdparams` to an earlier version(before Paddle1.7.0), which consists of the scattered files?
* A: You can use `fluid.load` to load the `pdparams` weights and use `fluid.io.save_vars` to save the weights as scattered files. The demo is as follows. Finally all the scattered files will be saved in the path `path_to_save_var`.
```
fluid.load(
program=infer_prog, model_path=args.pretrained_model, executor=exe)
state = fluid.io.load_program_state(args.pretrained_model)
def exists(var):
return var.name in state
fluid.io.save_vars(exe, "./path_to_save_var", infer_prog, predicate=exists)
```
>> >>
* Q: The error occured when using visualdl under python2, shows that: `TypeError: __init__() missing 1 required positional argument: 'sync_cycle'`. * Q: The error occured when using visualdl under python2, shows that: `TypeError: __init__() missing 1 required positional argument: 'sync_cycle'`.
* A: `Visualdl` is only supported on python3 as now, whose version needs also be higher than `2.0`. If your visualdl version is lower than 2.0, you can also install visualdl 2.0 by `pip3 install visualdl==2.0.0b8 -i https://mirror.baidu.com/pypi/simple`. * A: `Visualdl` is only supported on python3 as now, whose version needs also be higher than `2.0`. If your visualdl version is lower than 2.0, you can also install visualdl 2.0 by `pip3 install visualdl==2.0.0b8 -i https://mirror.baidu.com/pypi/simple`.
...@@ -8,7 +8,7 @@ This document introduces how to install PaddleClas and its requirements. ...@@ -8,7 +8,7 @@ This document introduces how to install PaddleClas and its requirements.
## Install PaddlePaddle ## Install PaddlePaddle
Python 3.5, CUDA 9.0, CUDNN7.0 nccl2.1.2 and later version are required at first, For now, PaddleClas only support training on the GPU device. Please follow the instructions in the [Installation](http://www.paddlepaddle.org.cn/install/quick) if the PaddlePaddle on the device is lower than v1.7 Python 3.6, CUDA 9.0, CUDNN7.0 nccl2.1.2 and later version are required at first, For now, PaddleClas only support training on the GPU device. Please follow the instructions in the [Installation](http://www.paddlepaddle.org.cn/install/quick) if the PaddlePaddle on the device is lower than v1.7
Install PaddlePaddle Install PaddlePaddle
...@@ -21,8 +21,8 @@ or compile from source code, please refer to [Installation](http://www.paddlepad ...@@ -21,8 +21,8 @@ or compile from source code, please refer to [Installation](http://www.paddlepad
Verify Installation Verify Installation
```python ```python
import paddle.fluid as fluid import paddle
fluid.install_check.run_check() paddle.utils.run_check()
``` ```
Check PaddlePaddle version: Check PaddlePaddle version:
...@@ -32,7 +32,7 @@ python -c "import paddle; print(paddle.__version__)" ...@@ -32,7 +32,7 @@ python -c "import paddle; print(paddle.__version__)"
``` ```
Note: Note:
- Make sure the compiled version is later than v1.7 - Make sure the compiled version is later than PaddlePaddle2.0rc.
- Indicate **WITH_DISTRIBUTE=ON** when compiling, Please refer to [Instruction](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/install/Tables.html#id3) for more details. - Indicate **WITH_DISTRIBUTE=ON** when compiling, Please refer to [Instruction](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/install/Tables.html#id3) for more details.
......
...@@ -210,18 +210,6 @@ VALID: ...@@ -210,18 +210,6 @@ VALID:
- ToCHWImage: - ToCHWImage:
``` ```
>>
* Q: 如果想将保存的`pdparams`模型参数文件转换为早期版本(Paddle1.7.0之前)的零碎文件(每个文件均为一个单独的模型参数),该怎么实现呢?
* A: 可以首先导入`pdparams`模型,之后使用`fluid.io.save_vars`函数将模型保存为零散的碎文件。示例代码如下,最终所有零散文件会被保存在`path_to_save_var`目录下。
```
fluid.load(
program=infer_prog, model_path=args.pretrained_model, executor=exe)
state = fluid.io.load_program_state(args.pretrained_model)
def exists(var):
return var.name in state
fluid.io.save_vars(exe, "./path_to_save_var", infer_prog, predicate=exists)
```
>> >>
* Q: python2下,使用visualdl的时候,报出以下错误,`TypeError: __init__() missing 1 required positional argument: 'sync_cycle'`,这是为什么呢? * Q: python2下,使用visualdl的时候,报出以下错误,`TypeError: __init__() missing 1 required positional argument: 'sync_cycle'`,这是为什么呢?
* A: 目前visualdl仅支持在python3下运行,visualdl需要是2.0以上的版本,如果visualdl版本不对的话,可以通过以下方式进行安装:`pip3 install visualdl==2.0.0b8 -i https://mirror.baidu.com/pypi/simple` * A: 目前visualdl仅支持在python3下运行,visualdl需要是2.0以上的版本,如果visualdl版本不对的话,可以通过以下方式进行安装:`pip3 install visualdl==2.0.0b8 -i https://mirror.baidu.com/pypi/simple`
......
...@@ -9,7 +9,7 @@ ...@@ -9,7 +9,7 @@
## 二、安装PaddlePaddle ## 二、安装PaddlePaddle
运行PaddleClas需要`PaddlePaddle 2.0-beta`或更高版本。请参照[安装文档](http://www.paddlepaddle.org.cn/install/quick)中的说明进行操作。 运行PaddleClas需要`PaddlePaddle 2.0rc`或更高版本。请参照[安装文档](http://www.paddlepaddle.org.cn/install/quick)中的说明进行操作。
如果已经安装好了cuda、cudnn、nccl或者安装好了docker、nvidia-docker运行环境,可以pip安装最新GPU版本PaddlePaddle 如果已经安装好了cuda、cudnn、nccl或者安装好了docker、nvidia-docker运行环境,可以pip安装最新GPU版本PaddlePaddle
...@@ -22,8 +22,8 @@ pip install paddlepaddle-gpu --upgrade ...@@ -22,8 +22,8 @@ pip install paddlepaddle-gpu --upgrade
使用以下命令可以验证PaddlePaddle是否安装成功。 使用以下命令可以验证PaddlePaddle是否安装成功。
```python ```python
import paddle.fluid as fluid import paddle
fluid.install_check.run_check() paddle.utils.run_check()
``` ```
查看PaddlePaddle版本的命令如下: 查看PaddlePaddle版本的命令如下:
...@@ -33,7 +33,7 @@ python -c "import paddle; print(paddle.__version__)" ...@@ -33,7 +33,7 @@ python -c "import paddle; print(paddle.__version__)"
``` ```
注意: 注意:
- 从源码编译的PaddlePaddle版本号为0.0.0,请确保使用了Fluid v1.7之后的源码编译。 - 从源码编译的PaddlePaddle版本号为0.0.0,请确保使用了PaddlePaddle 2.0rc及之后的源码编译。
- PaddleClas基于PaddlePaddle高性能的分布式训练能力,若您从源码编译,请确保打开编译选项,**WITH_DISTRIBUTE=ON**。具体编译选项参考[编译选项表](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/install/Tables.html#id3) - PaddleClas基于PaddlePaddle高性能的分布式训练能力,若您从源码编译,请确保打开编译选项,**WITH_DISTRIBUTE=ON**。具体编译选项参考[编译选项表](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/install/Tables.html#id3)
**运行环境需求:** **运行环境需求:**
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