Standalone Compute

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.deny.toml

@@ -36,6 +36,7 @@ allow = [
     "Unicode-3.0",
     "Zlib",
 ]
+private = { ignore = true }
 
 [sources]
 allow-git = [

.github/workflows/generate.yml

@@ -0,0 +1,60 @@
+name: cargo-generate
+
+on:
+  push:
+    branches: ["*"]
+    tags: [v0.*]
+  pull_request:
+  merge_group:
+
+env:
+  #
+  # Dependency versioning
+  #
+
+  # This is the MSRV used by `wgpu` itself and all surrounding infrastructure.
+  REPO_MSRV: "1.83"
+  RUSTFLAGS: -D warnings
+
+jobs:
+  cargo-generate:
+    timeout-minutes: 5
+
+    runs-on: ubuntu-latest
+
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - name: "hello-compute"
+            path: "examples/standalone/1_hello_compute"
+
+    name: "${{ matrix.name }}"
+
+    steps:
+      - uses: actions/checkout@v2
+
+      - name: Install Repo MSRV toolchain
+        run: |
+          rustup toolchain install ${{ env.REPO_MSRV }} --no-self-update --profile=minimal
+          rustup override set ${{ env.REPO_MSRV }}
+          cargo -V
+
+      - name: "Install cargo-generate"
+        uses: taiki-e/install-action@v2
+        with:
+          tool: cargo-generate
+
+      - name: "Run cargo-generate"
+        run: |
+          cd ..
+          cargo generate --path wgpu --name ${{ matrix.name }} ${{ matrix.path }}
+
+      - name: "Check generated files"
+        run: |
+          cd ../${{ matrix.name }}/
+          cat <<EOF >> Cargo.toml
+            [patch.crates-io]
+            wgpu = { path = "../wgpu/wgpu" }
+          EOF
+          cargo check

Cargo.toml

@@ -7,7 +7,7 @@ members = [
     # default members
     "benches",
     "examples/features",
-    # "examples/standalone/*",
+    "examples/standalone/*",
     "lock-analyzer",
     "naga-cli",
     "naga",
@@ -26,7 +26,7 @@ exclude = []
 default-members = [
     "benches",
     "examples/features",
-    # "examples/standalone/*",
+    "examples/standalone/*",
     "lock-analyzer",
     "naga-cli",
     "naga",
@@ -219,6 +219,9 @@ ndk-sys = "0.5.0"
 #js-sys = { path = "../wasm-bindgen/crates/js-sys" }
 #wasm-bindgen = { path = "../wasm-bindgen" }
 
+# These overrides allow our examples to explicitly depend on release crates 
+wgpu = { path = "./wgpu" }
+
 [profile.release]
 lto = "thin"
 debug = true

README.md

@@ -12,6 +12,13 @@
 
 The API is based on the [WebGPU standard](https://gpuweb.github.io/gpuweb/). It serves as the core of the WebGPU integration in Firefox, Servo, and Deno.
 
+## Quick Links
+
+| Docs                                 | Examples                                                             | Changelog                                                                    |
+|:------------------------------------:|:--------------------------------------------------------------------:|:----------------------------------------------------------------------------:|
+| [v24](https://docs.rs/wgpu/)         | [v24](https://github.com/gfx-rs/wgpu/tree/v24/examples#readme)       | [v24](https://github.com/gfx-rs/wgpu/releases)                               |
+| [`trunk`](https://wgpu.rs/doc/wgpu/) | [`trunk`](https://github.com/gfx-rs/wgpu/tree/trunk/examples#readme) | [`trunk`](https://github.com/gfx-rs/wgpu/blob/trunk/CHANGELOG.md#unreleased) |
+
 ## Repo Overview
 
 The repository hosts the following libraries:
@@ -42,14 +49,12 @@ Go to [https://wgpu.rs/examples/] to play with our examples in your browser. Req
 
 Rust examples can be found at [wgpu/examples](examples). You can run the examples on native with `cargo run --bin wgpu-examples <example>`. See the [list of examples](examples).
 
+If you are new to wgpu and graphics programming, we recommend starting with https://sotrh.github.io/learn-wgpu/.
+
 To run the examples in a browser, run `cargo xtask run-wasm`.
 Then open `http://localhost:8000` in your browser, and you can choose an example to run.
 Naturally, in order to display any of the WebGPU based examples, you need to make sure your browser supports it.
 
-If you are looking for a wgpu tutorial, look at the following:
-
-- https://sotrh.github.io/learn-wgpu/
-
 ### C/C++
 
 To use wgpu in C/C++, you need [wgpu-native](https://github.com/gfx-rs/wgpu-native).