23.12 release updates (#461)

This PR does 3 things: - Standard updates for a new release - Closes all cuSignal doc links, but still references it and points to cuPy - Close #441 cc @caryr35 @raydouglass --------- Co-authored-by: Bradley Dice <[email protected]>
rapidsai · Dec 12, 2023 · 9ef1633 · 9ef1633
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diff --git a/_data/docs.yml b/_data/docs.yml
@@ -82,12 +82,12 @@ apis:
   cusignal:
     name: cusignal
     path: cusignal
-    desc: 'cuSignal leverages CuPy, Numba, and the RAPIDS ecosystem for GPU accelerated signal processing. In some cases, cuSignal is a direct port of Scipy Signal to leverage GPU compute resources via CuPy but also contains Numba CUDA kernels for additional speedups for selected functions.'
-    ghlink: https://github.com/rapidsai/cusignal
-    cllink: https://github.com/rapidsai/cusignal/blob/main/CHANGELOG.md
+    desc: 'cuSignal functionality has been moved to CuPy. Please see the CuPy documentation for more information.'
+    ghlink: https://github.com/cupy/cupy
+    cllink: https://docs.cupy.dev/en/latest/reference/scipy_signal.html
     versions:
       # enable or disable links; 0 = disabled, 1 = enabled
-      legacy: 1
+      legacy: 0
       stable: 0
       nightly: 0
   cudf-java:

diff --git a/_data/previous_releases.json b/_data/previous_releases.json
@@ -1,4 +1,42 @@
 [
+  {
+    "version": "23.12",
+    "cudf_dev": {
+      "start": "Sep 21 2023",
+      "end": "Wed Nov 8 2023",
+      "days": "35"
+    },
+    "other_dev": {
+      "start": "Sep 28 2023",
+      "end": "Wed Nov 15 2023",
+      "days": "34"
+    },
+    "cudf_burndown": {
+      "start": "Nov 9 2023",
+      "end": "Wed Nov 15 2023",
+      "days": "4"
+    },
+    "other_burndown": {
+      "start": "Nov 16 2023",
+      "end": "Wed Nov 29 2023",
+      "days": "8"
+    },
+    "cudf_codefreeze": {
+      "start": "Nov 16 2023",
+      "end": "Tue Dec 5 2023",
+      "days": "12"
+    },
+    "other_codefreeze": {
+      "start": "Nov 30 2023",
+      "end": "Tue Dec 5 2023",
+      "days": "4"
+    },
+    "release": {
+      "start": "Dec 6 2023",
+      "end": "Thu Dec 7 2023",
+      "days": "2"
+    }
+  },
   {
     "version": "23.10",
     "cudf_dev": {

diff --git a/_data/releases.json b/_data/releases.json
@@ -1,51 +1,13 @@
 {
   "legacy": {
-    "version": "23.08",
-    "date": "Aug 10 2023"
-  },
-  "stable": {
     "version": "23.10",
     "date": "Oct 12 2023"
   },
-  "nightly": {
+  "stable": {
     "version": "23.12",
-    "cudf_dev": {
-      "start": "Sep 21 2023",
-      "end": "Wed Nov 8 2023",
-      "days": "35"
-    },
-    "other_dev": {
-      "start": "Sep 28 2023",
-      "end": "Wed Nov 15 2023",
-      "days": "34"
-    },
-    "cudf_burndown": {
-      "start": "Nov 9 2023",
-      "end": "Wed Nov 15 2023",
-      "days": "4"
-    },
-    "other_burndown": {
-      "start": "Nov 16 2023",
-      "end": "Wed Nov 29 2023",
-      "days": "8"
-    },
-    "cudf_codefreeze": {
-      "start": "Nov 16 2023",
-      "end": "Tue Dec 5 2023",
-      "days": "12"
-    },
-    "other_codefreeze": {
-      "start": "Nov 30 2023",
-      "end": "Tue Dec 5 2023",
-      "days": "4"
-    },
-    "release": {
-      "start": "Dec 6 2023",
-      "end": "Thu Dec 7 2023",
-      "days": "2"
-    }
+    "date": "Dec 7 2023"
   },
-  "next_nightly": {
+  "nightly": {
     "version": "24.02",
     "cudf_dev": {
       "start": "Nov 9 2023",
@@ -82,5 +44,43 @@
       "end": "Thu Feb 8 2024",
       "days": "2"
     }
+  },
+  "next_nightly": {
+    "version": "24.04",
+    "cudf_dev": {
+      "start": "Jan 19 2024",
+      "end": "Wed Mar 22 2024",
+      "days": "42"
+    },
+    "other_dev": {
+      "start": "Jan 26 2024",
+      "end": "Wed Mar 29 2024",
+      "days": "42"
+    },
+    "cudf_burndown": {
+      "start": "Mar 23 2024",
+      "end": "Wed Mar 29 2024",
+      "days": "5"
+    },
+    "other_burndown": {
+      "start": "Mar 30 2024",
+      "end": "Wed Apr 5 2024",
+      "days": "5"
+    },
+    "cudf_codefreeze": {
+      "start": "Mar 25 2024",
+      "end": "Wed Mar 31 2024",
+      "days": "4"
+    },
+    "other_codefreeze": {
+      "start": "Apr 6 2024",
+      "end": "Wed Apr 11 2024",
+      "days": "4"
+    },
+    "release": {
+      "start": "Apr 12 2024",
+      "end": "Thu Apr 13 2024",
+      "days": "2"
+    }
   }
 }
diff --git a/_includes/selector.html b/_includes/selector.html
@@ -502,9 +502,9 @@
                 // This has duplicate code, but makes for easier edits in the future
                 if (this.active_release === "Stable") {
                     index_url = `--${this.highlightFlag("extra-index-url")}=https://pypi.nvidia.com`;
+                    cuda_suffix = cuda_suffix + "=={{ site.data.releases.stable.version }}.*";
                     var libraryToPkg = (pkg) => {
                         pkg = pkg.toLowerCase();
-                        if (pkg === "cucim") return pkg; // Remove this line in 23.12 when stable cucim is out on our index
                         if (pkg === "cuspatial/cuproj") return ["cuspatial" + cuda_suffix, "cuproj" + cuda_suffix];
                         if (pkg === "raft") return ["pylibraft" + cuda_suffix, "raft-dask" + cuda_suffix];
                         return [pkg + cuda_suffix];
@@ -533,19 +533,15 @@
                         .flatMap(libraryToPkg);
                 }
 
-                if (pkgs.length === 1 && pkgs[0] === "cucim") {
-                    index_url = "";
-                }
-                else { // We need to add dask-cuda to nightly pip installs for everything but cucim
-                    if (this.active_release === "Nightly") {
-                        pkgs.push(["\"dask-cuda" + cuda_suffix.slice(5)])
-                    }
+                // pkgs.length == 2 because it includes the "Choose Specific Packages" option
+                if (this.active_release === "Nightly" && !(pkgs.length === 2 && pkgs[0] === "cucim")) {
+                    pkgs.push(["\"dask-cuda" + cuda_suffix.slice(5)])
                 }
 
                 // For every n packages add a new line with a "\" character
                 // We need i += n + 1 since the splice adds a new element to the array
                 if (this.active_release === "Stable") {
-                    packages_per_line = 5;
+                    packages_per_line = 3;
                 }
                 else {
                     packages_per_line = 2;
@@ -597,8 +593,7 @@
                 var notes = [];
                 if (this.active_cuda_ver.startsWith("12") && this.active_release === "Stable") {
                     var pkgs_html = this.rapids_meta_pkgs.map(pkg => "<code>" + pkg + "</code>").join(", ");
-                    var cuda12 = "Only nightly RAPIDS Docker images for CUDA 12 currently support ARM architectures<br>";
-                    notes = [...notes, cuda12]
+                    notes = [...notes]
                 } else {
                     var pkgs_html = this.rapids_meta_pkgs.map(pkg => "<code>" + pkg + "</code>").join(", ");
                 }
@@ -611,12 +606,7 @@
                 var notes = [];
                 notes = [...notes, "RAPIDS currently doesn't support <code>channel_priority: strict</code>; use <code>channel_priority: flexible</code> instead"];
                 if (this.active_packages.length === 1 && this.active_packages[0] === "Standard") {
-                    if (this.active_cuda_ver.startsWith("12") && this.active_release === "Stable") {
-                        notes = [...notes, "Only nightly RAPIDS conda packages for CUDA 12 currently support ARM architectures"];
-                        var pkgs_html = this.rapids_meta_pkgs.map(pkg => "<code>" + pkg + "</code>").join(", ");
-                    } else {
-                        var pkgs_html = this.rapids_meta_pkgs.map(pkg => "<code>" + pkg + "</code>").join(", ");
-                    }
+                    var pkgs_html = this.rapids_meta_pkgs.map(pkg => "<code>" + pkg + "</code>").join(", ");
                     notes = [...notes, "The <code>Standard</code> selection contains the following packages:<br>" + pkgs_html];
                 }
 
@@ -632,12 +622,7 @@
             },
             getpipNotes() {
                 var notes = [];
-                if (this.active_release === "Stable") {
-                    var install_location_notes = "<code>cuDF</code>, <code>dask-cuDF</code>, <code>cuML</code>, <code>cuGraph</code>, <code>cuSpatial</code>, <code>cuProj</code>, <code>cuxfilter</code>, and <code>RAFT</code> stable pip packages are hosted on the NVIDIA Python Package Index<br>"
-                }
-                else {
-                    var install_location_notes = "<code>cuDF</code>, <code>dask-cuDF</code>, <code>cuML</code>, <code>cuGraph</code>, <code>cuSpatial</code>, <code>cuProj</code>, <code>cuxfilter</code>, <code>cuCIM</code>, and <code>RAFT</code> nightly pip packages are hosted on the RAPIDS Python Package Index<br>"
-                }
+                var install_location_notes = "<code>cuDF</code>, <code>dask-cuDF</code>, <code>cuML</code>, <code>cuGraph</code>, <code>cuSpatial</code>, <code>cuProj</code>, <code>cuxfilter</code>, <code>cuCIM</code>, and <code>RAFT</code> pip packages are hosted by NVIDIA<br>"
                 notes = [...notes, install_location_notes,
                     'pip installation supports Python <code>3.9</code> and <code>3.10</code><br>'];
 
@@ -677,6 +662,7 @@
             disableUnsupportedCuda(cuda_version) {
                 var isDisabled = false;
                 if (this.active_additional_packages.includes("TensorFlow") && (cuda_version !== "11.2" && cuda_version !== "11.8")) isDisabled = true;
+                if (this.active_method === "Docker" && this.active_release === "Nightly" && cuda_version === "11.2") isDisabled = true;
                 return isDisabled;
             },
             disableUnsupportedPython(python_version) {

diff --git a/install/install.md b/install/install.md
@@ -59,19 +59,15 @@ To resolve this error please follow one of these steps:
 - Use [Mamba directly](https://mamba.readthedocs.io/en/latest/installation.html){: target="_blank"}
 - Use the classic solver by removing `--solver=libmamba` from the `conda create` command provided by the selector
 
-<i class="fas fa-info-circle"></i> CUDA 12.0 ARM packages are not yet available:<br/>
-Nightly packages are now available for CUDA 12.0 on ARM! Stable support is coming in 23.12
-
 ### **Docker Issues**
-<i class="fas fa-exclamation-triangle"></i> RAPIDS `23.08` brings significant Docker changes. <br/>
+<i class="fas fa-exclamation-triangle"></i> RAPIDS `23.08` brought significant Docker changes. <br/>
 To learn more about these changes, please see the [RAPIDS Container README](https://hub.docker.com/r/rapidsai/base){: target="_blank"}. Some key notes below:
 - `Development` images are no longer being published, in the coming releases RAPIDS will roll out [Dev Containers](https://code.visualstudio.com/docs/devcontainers/containers){: target="_blank"} for development
    - See cuSpatial for an example and information on [RAPIDS' usage of Dev Containers](https://github.com/rapidsai/cuspatial/tree/main/.devcontainer){: target="_blank"}
 - All images are Ubuntu-based
    - CUDA 11.2 images are Ubuntu `20.04`
    - All other images are Ubuntu `22.04`
 - All images are multiarch (x86_64 and ARM)
-   - CUDA 12 support is available on the nightly versions when using Docker images on ARM architecture
 - The `Base` image starts in an ipython shell
    - To run bash commands inside the ipython shell prefix the command with `!`
    - To run the image without the ipython shell add `/bin/bash` to the end of the `docker run` command
@@ -126,6 +122,7 @@ See the WSL2 setup [troubleshooting section](#wsl2-troubleshooting).
 All provisioned systems need to be RAPIDS capable. Here's what is required:
 
 <i class="fas fa-microchip"></i> **GPU:** NVIDIA Pascal™ or better with [compute capability](https://developer.nvidia.com/cuda-gpus){: target="_blank"} 6.0+
+- <i class="fas fa-exclamation-triangle"></i> Pascal™ GPU support [is deprecated and will be removed in 24.02](https://docs.rapids.ai/notices/rsn0034/). Compute capability 7.0+ will be required for RAPIDS 24.02 and later.
 
 <i class="fas fa-desktop"></i> **OS:** One of the following OS versions:
 - <i class="fas fa-check-circle"></i> Ubuntu 20.04/22.04 or CentOS 7 / Rocky Linux 8 with <code>gcc/++</code> 9.0+
@@ -149,7 +146,6 @@ All provisioned systems need to be RAPIDS capable. Here's what is required:
 
 - <i class="fas fa-info-circle"></i> CUDA 12 conda packages and Docker images currently support CUDA 12.0
 - <i class="fas fa-info-circle"></i> CUDA 11 conda packages and Docker images can be used on a system with a CUDA 12 driver because they include their own CUDA toolkit
-- <i class="fas fa-info-circle"></i> ARM is currently supported by nightly CUDA 12 conda packages or Docker images, use CUDA 11 or pip packages for stable version ARM support
 
 ### **pip**