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tp-nan committed Jan 15, 2024
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8 changes: 4 additions & 4 deletions docs/backend-reference/cvcuda.mdx
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---

<!-- [The following compilation option](../installation.mdx#compilation-options) need to be enabled to use the following backends.
[The following compilation option](../installation.mdx#compilation-options) need to be enabled to use the following backends.

`version>=0.3.3b2`
`version>=0.4.0`

```bash
BUILD_PPLCV=1 pip install -e .
WITH_CVCUDA=1 pip install -e .
```
## Overview

| Name| Main Initialization Parameters |Runtime Parameters[Type] | Input[Type] | Output[Type] | Note|
<!-- | Name| Main Initialization Parameters |Runtime Parameters[Type] | Input[Type] | Output[Type] | Note|
| --- | --- | --- | --- | --- | --- |
|[PPLResizeTensor]|resize_h,resize_w | resize_h[int],resize_w[int]|data[Tensor]|result[Tensor]||
|[PPLWarpAffineTensor]|target_h,target_w|target_h[int],target_w[int],affine_matrix[vector\<float\>]|data[Tensor]|result[Tensor]|affine_matrix.size() == 6|
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displayed_sidebar: api

---
<!--

# Ppl.cv相关后端

`version>=0.3.3b2`
`version>=0.4.0`

需要编译时启动[相关选项](../installation.mdx#compilation-options)

```bash
BUILD_PPLCV=1 pip install -e .
WITH_CVCUDA=1 pip install -e .
```
## 速览

<!--
| 名称| 主要初始化参数 |运行时参数[类型] | 输入[类型] | 输出[类型] | 备注|
| --- | --- | --- | --- | --- | --- |
|[PPLResizeTensor]|resize_h,resize_w | resize_h[int],resize_w[int]|data[Tensor]|result[Tensor]||
|[PPLWarpAffineTensor]|target_h,target_w|target_h[int],target_w[int],affine_matrix[vector\<float\>]|data[Tensor]|result[Tensor]|affine_matrix.size() == 6|
|[PPLCopyMakeBorderTensor]||top[int],bottom[int],left[int],right[int]|data[Tensor]|result[Tensor]||

-->

2 changes: 1 addition & 1 deletion i18n/zh/docusaurus-plugin-content-docs/current/welcome.md
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---

# 欢迎查看 torchpipe 文档!
torchpipe是一个独立作用于底层加速库(如tensorrt,opencv,torchscript)以及 RPC(如thrift, gRPC)之间的多实例流水线并行库。在满足时延前提下最大限度挖掘服务吞吐能力。
torchpipe是一个独立作用于底层加速库(如tensorrt,opencv, CVCUDA,torchscript)以及 RPC(如thrift, gRPC)之间的多实例流水线并行库。在满足时延前提下最大限度挖掘服务吞吐能力。

整个方案集并发安全和全链路流水线调度等特点于一身,支持NIDIA硬件平台, 兼顾了开发效率与性能提速的特点。

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