Update operator_custom_with_cupy.ipynb

docs/tutorial_advanced/operator_custom_with_cupy.ipynb

@@ -29,8 +29,8 @@
    "metadata": {},
    "source": [
     "Although we can now use the flexible taichi custom operator approach, taichi on cuda does not have more fine-grained control or optimization for some scenarios. So for such scenarios, we can use cupy's \n",
-    "- `RawModule`(https://docs.cupy.dev/en/stable/user_guide/kernel.html#raw-kernels)\n",
-    "- `jit.rawkernel`(https://docs.cupy.dev/en/stable/user_guide/kernel.html#jit-kernel-definition) \n",
+    "- [`RawModule`](https://docs.cupy.dev/en/stable/user_guide/kernel.html#raw-kernels)\n",
+    "- [`jit.rawkernel`](https://docs.cupy.dev/en/stable/user_guide/kernel.html#jit-kernel-definition) \n",
     "\n",
     "to compile and run CUDA native code directly as strings or cupy JIT function in real time for finer grained control.\n",
     "\n",
@@ -177,8 +177,8 @@
    "metadata": {},
    "source": [
     "尽管我们现在可以使用灵活的taichi自定义操作符方法，但在cuda后端上，taichi没有更细粒度的控制或某些场景下的优化。因此，对于这类场景，我们可以使用cupy的\n",
-    "- `RawModule`(https://docs.cupy.dev/en/stable/user_guide/kernel.html#raw-kernels)\n",
-    "- `jit.rawkernel`(https://docs.cupy.dev/en/stable/user_guide/kernel.html#jit-kernel-definition)\n",
+    "- [`RawModule`](https://docs.cupy.dev/en/stable/user_guide/kernel.html#raw-kernels)\n",
+    "- [`jit.rawkernel`](https://docs.cupy.dev/en/stable/user_guide/kernel.html#jit-kernel-definition) \n",
     "\n",
     "来直接作为字符串或cupy JIT函数实时编译并运行CUDA原生代码，以实现更细致的控制。\n",
     "\n",