Updates for 3.4 release. (#1305)

examples/python/00_basic_gemm.ipynb

@@ -9,7 +9,7 @@
     "# Basic example of using the CUTLASS Python interface\n",
     "This notebook walks through a basic example of using the CUTLASS Python interface to declare, compile, and run GEMMs.\n",
     "\n",
-    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/NVIDIA/cutlass/tree/master/examples/python/00_basic_gemm.ipynb)\n"
+    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/NVIDIA/cutlass/blob/main/examples/python/00_basic_gemm.ipynb)\n"
    ]
   },
   {
@@ -374,6 +374,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "0fff34a4",
    "metadata": {},
    "source": [
     "## Specializations for other data types\n",
@@ -386,6 +387,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "338ad890",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -406,6 +408,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "65531df1",
    "metadata": {},
    "source": [
     "Additionally, one can run CUTLASS's FP8 GEMMs if using a frontend library capable of allocating and initializing FP8 tensors (e.g., PyTorch)"
@@ -414,6 +417,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "776f1d8d",
    "metadata": {},
    "outputs": [],
    "source": [