[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>

docs_new/docs/hardware-platforms/ascend-npus/ascend_npu.mdx

@@ -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>

docs_new/docs/hardware-platforms/ascend-npus/ascend_npu_faq.mdx

@@ -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

docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/deepseek_r1.mdx

@@ -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.
 

docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/deepseek_v3_2.mdx

@@ -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.
 

docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/glm_5_1.mdx

@@ -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.
 

docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/kimi_k2_6.mdx

@@ -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.
 

docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/minimax_m2_5.mdx

@@ -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.
 

docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3-8b.mdx

@@ -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.
 

docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_235b_a22b.mdx

@@ -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.
 

docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_30b_a3b.mdx

@@ -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.
 

docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_32b.mdx

@@ -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.
 

docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_5_397b.mdx

@@ -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.
 

docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_6_27b.mdx

@@ -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.
 

docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_6_35b_a3b.mdx

@@ -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.
 

docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_next_80b_a3b_instruct.mdx

@@ -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.