[Doc]Standardize the names of PyTorch NPU-related software throughout the documentation by replacing them all with TorchNPU. (#29886)

Signed-off-by: a60124901 <anyuxin4@h-partners.com> Signed-off-by: axx-ty911 <anyuxin4@h-partners.com> Co-authored-by: sglang-npu-bot <sglangnpu@163.com> Co-authored-by: ronnie_zheng <zl19940307@163.com>
2026-07-14 21:56:08 +03:00
parent cb47a68717
commit bdc9848c25
15 changed files with 15 additions and 15 deletions
@@ -31,7 +31,7 @@ You can install SGLang using any of the methods below. Please go through `System
      <td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}><a href="#obtain-cann-image">Obtain Images</a></td>
    </tr>
    <tr>
-      <td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>Pytorch Adapter</td>
+      <td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>TorchNPU</td>
      <td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>26.0.0</td>
      <td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}><a href="https://gitcode.com/Ascend/pytorch/releases">link</a></td>
    </tr>
@@ -69,7 +69,7 @@ Too many captured graphs cause a conflict in the graph mode update stream. Each

 ### Solution

- CANN 8.5 + PTA 2.8 should have resolved this issue.
+- CANN 8.5 + TorchNPU 2.8 should have resolved this issue.
 - If your versions do not match, reduce the number of captured graphs to 10 or fewer.

 ## 3. alloc_extend_kernel error
@@ -55,7 +55,7 @@ Before following this tutorial, complete the environment setup in the documents
  It walks you through launching the official container image, starting the SGLang server, and sending a test request.
  Recommended if you are new to SGLang on Ascend.
 - [SGLang Installation with NPU Support](/docs/hardware-platforms/ascend-npus/ascend_npu) — the full installation guide.
-  It covers the component version mapping (CANN, PyTorch adapter, Triton, kernels, etc.), building from source or from a
+  It covers the component version mapping (CANN, TorchNPU, Triton, kernels, etc.), building from source or from a
  Dockerfile, and recommended system settings (CPU power scheme, NUMA, swap). Use it when you need to install or customize
  the environment instead of using the official image.

@@ -54,7 +54,7 @@ Before following this tutorial, complete the environment setup in the documents
  It walks you through launching the official container image, starting the SGLang server, and sending a test request.
  Recommended if you are new to SGLang on Ascend.
 - [SGLang Installation with NPU Support](/docs/hardware-platforms/ascend-npus/ascend_npu) — the full installation guide.
-  It covers the component version mapping (CANN, PyTorch adapter, Triton, kernels, etc.), building from source or from a
+  It covers the component version mapping (CANN, TorchNPU, Triton, kernels, etc.), building from source or from a
  Dockerfile, and recommended system settings (CPU power scheme, NUMA, swap). Use it when you need to install or customize
  the environment instead of using the official image.

@@ -56,7 +56,7 @@ Before following this tutorial, complete the environment setup in the documents
  It walks you through launching the official container image, starting the SGLang server, and sending a test request.
  Recommended if you are new to SGLang on Ascend.
 - [SGLang Installation with NPU Support](/docs/hardware-platforms/ascend-npus/ascend_npu) — the full installation guide.
-  It covers the component version mapping (CANN, PyTorch adapter, Triton, kernels, etc.), building from source or from a
+  It covers the component version mapping (CANN, TorchNPU, Triton, kernels, etc.), building from source or from a
  Dockerfile, and recommended system settings (CPU power scheme, NUMA, swap). Use it when you need to install or customize
  the environment instead of using the official image.

@@ -56,7 +56,7 @@ Before following this tutorial, complete the environment setup in the documents
  It walks you through launching the official container image, starting the SGLang server, and sending a test request.
  Recommended if you are new to SGLang on Ascend.
 - [SGLang Installation with NPU Support](/docs/hardware-platforms/ascend-npus/ascend_npu) — the full installation guide.
-  It covers the component version mapping (CANN, PyTorch adapter, Triton, kernels, etc.), building from source or from a
+  It covers the component version mapping (CANN, TorchNPU, Triton, kernels, etc.), building from source or from a
  Dockerfile, and recommended system settings (CPU power scheme, NUMA, swap). Use it when you need to install or customize
  the environment instead of using the official image.

@@ -53,7 +53,7 @@ Before following this tutorial, complete the environment setup in the documents
  It walks you through launching the official container image, starting the SGLang server, and sending a test request.
  Recommended if you are new to SGLang on Ascend.
 - [SGLang Installation with NPU Support](/docs/hardware-platforms/ascend-npus/ascend_npu) — the full installation guide.
-  It covers the component version mapping (CANN, PyTorch adapter, Triton, kernels, etc.), building from source or from a
+  It covers the component version mapping (CANN, TorchNPU, Triton, kernels, etc.), building from source or from a
  Dockerfile, and recommended system settings (CPU power scheme, NUMA, swap). Use it when you need to install or customize
  the environment instead of using the official image.

@@ -50,7 +50,7 @@ Before following this tutorial, complete the environment setup in the documents
  It walks you through launching the official container image, starting the SGLang server, and sending a test request.
  Recommended if you are new to SGLang on Ascend.
 - [SGLang Installation with NPU Support](/docs/hardware-platforms/ascend-npus/ascend_npu) — the full installation guide.
-  It covers the component version mapping (CANN, PyTorch adapter, Triton, kernels, etc.), building from source or from a
+  It covers the component version mapping (CANN, TorchNPU, Triton, kernels, etc.), building from source or from a
  Dockerfile, and recommended system settings (CPU power scheme, NUMA, swap). Use it when you need to install or customize
  the environment instead of using the official image.

@@ -56,7 +56,7 @@ Before following this tutorial, complete the environment setup in the documents
  It walks you through launching the official container image, starting the SGLang server, and sending a test request.
  Recommended if you are new to SGLang on Ascend.
 - [SGLang Installation with NPU Support](/docs/hardware-platforms/ascend-npus/ascend_npu) — the full installation guide.
-  It covers the component version mapping (CANN, PyTorch adapter, Triton, kernels, etc.), building from source or from a
+  It covers the component version mapping (CANN, TorchNPU, Triton, kernels, etc.), building from source or from a
  Dockerfile, and recommended system settings (CPU power scheme, NUMA, swap). Use it when you need to install or customize
  the environment instead of using the official image.

@@ -50,7 +50,7 @@ Before following this tutorial, complete the environment setup in the documents
  It walks you through launching the official container image, starting the SGLang server, and sending a test request.
  Recommended if you are new to SGLang on Ascend.
 - [SGLang Installation with NPU Support](/docs/hardware-platforms/ascend-npus/ascend_npu) — the full installation guide.
-  It covers the component version mapping (CANN, PyTorch adapter, Triton, kernels, etc.), building from source or from a
+  It covers the component version mapping (CANN, TorchNPU, Triton, kernels, etc.), building from source or from a
  Dockerfile, and recommended system settings (CPU power scheme, NUMA, swap). Use it when you need to install or customize
  the environment instead of using the official image.

@@ -48,7 +48,7 @@ Before following this tutorial, complete the environment setup in the documents
  It walks you through launching the official container image, starting the SGLang server, and sending a test request.
  Recommended if you are new to SGLang on Ascend.
 - [SGLang Installation with NPU Support](/docs/hardware-platforms/ascend-npus/ascend_npu) — the full installation guide.
-  It covers the component version mapping (CANN, PyTorch adapter, Triton, kernels, etc.), building from source or from a
+  It covers the component version mapping (CANN, TorchNPU, Triton, kernels, etc.), building from source or from a
  Dockerfile, and recommended system settings (CPU power scheme, NUMA, swap). Use it when you need to install or customize
  the environment instead of using the official image.

@@ -53,7 +53,7 @@ Before following this tutorial, complete the environment setup in the documents
  It walks you through launching the official container image, starting the SGLang server, and sending a test request.
  Recommended if you are new to SGLang on Ascend.
 - [SGLang Installation with NPU Support](/docs/hardware-platforms/ascend-npus/ascend_npu) — the full installation guide.
-  It covers the component version mapping (CANN, PyTorch adapter, Triton, kernels, etc.), building from source or from a
+  It covers the component version mapping (CANN, TorchNPU, Triton, kernels, etc.), building from source or from a
  Dockerfile, and recommended system settings (CPU power scheme, NUMA, swap). Use it when you need to install or customize
  the environment instead of using the official image.

@@ -50,7 +50,7 @@ Before following this tutorial, complete the environment setup in the documents
  It walks you through launching the official container image, starting the SGLang server, and sending a test request.
  Recommended if you are new to SGLang on Ascend.
 - [SGLang Installation with NPU Support](/docs/hardware-platforms/ascend-npus/ascend_npu) — the full installation guide.
-  It covers the component version mapping (CANN, PyTorch adapter, Triton, kernels, etc.), building from source or from a
+  It covers the component version mapping (CANN, TorchNPU, Triton, kernels, etc.), building from source or from a
  Dockerfile, and recommended system settings (CPU power scheme, NUMA, swap). Use it when you need to install or customize
  the environment instead of using the official image.

@@ -50,7 +50,7 @@ Before following this tutorial, complete the environment setup in the documents
  It walks you through launching the official container image, starting the SGLang server, and sending a test request.
  Recommended if you are new to SGLang on Ascend.
 - [SGLang Installation with NPU Support](/docs/hardware-platforms/ascend-npus/ascend_npu) — the full installation guide.
-  It covers the component version mapping (CANN, PyTorch adapter, Triton, kernels, etc.), building from source or from a
+  It covers the component version mapping (CANN, TorchNPU, Triton, kernels, etc.), building from source or from a
  Dockerfile, and recommended system settings (CPU power scheme, NUMA, swap). Use it when you need to install or customize
  the environment instead of using the official image.

@@ -52,7 +52,7 @@ Before following this tutorial, complete the environment setup in the documents
  It walks you through launching the official container image, starting the SGLang server, and sending a test request.
  Recommended if you are new to SGLang on Ascend.
 - [SGLang Installation with NPU Support](/docs/hardware-platforms/ascend-npus/ascend_npu) — the full installation guide.
-  It covers the component version mapping (CANN, PyTorch adapter, Triton, kernels, etc.), building from source or from a
+  It covers the component version mapping (CANN, TorchNPU, Triton, kernels, etc.), building from source or from a
  Dockerfile, and recommended system settings (CPU power scheme, NUMA, swap). Use it when you need to install or customize
  the environment instead of using the official image.