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Kernels:
webgpu-kernels
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ai.onnx.Range

Kernel card Files
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1 Parent(s): 9b5c5b5

sync 6fdf6301e2bb

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Files changed (2) hide show
  1. README.md +2 -2
  2. build/webgpu/metadata.json +2 -2
README.md CHANGED
@@ -49,13 +49,13 @@ Default values (overridable per request):
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  - [`metadata.json`](build/webgpu/metadata.json) — kernel metadata (id, digests, per-variant templates, provenance)
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  - [`manifest.json`](build/webgpu/manifest.json) — the op contract (source of truth)
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  - [`test.json`](build/webgpu/test.json) — correctness cases
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- - [`bench.json`](build/webgpu/bench.json) — benchmark + tuning cases
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  - [`range.wgsl.jinja`](build/webgpu/range.wgsl.jinja)
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  ## Use with `@huggingface/kernels`
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  ```sh
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- npm install --save-exact @huggingface/kernels@0.0.1-preview.2
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  ```
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  Outputs with inferable metadata are allocated automatically. Explicit `outputs` entries request optional results or provide metadata that cannot be inferred from the supplied inputs and attributes.
 
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  - [`metadata.json`](build/webgpu/metadata.json) — kernel metadata (id, digests, per-variant templates, provenance)
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  - [`manifest.json`](build/webgpu/manifest.json) — the op contract (source of truth)
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  - [`test.json`](build/webgpu/test.json) — correctness cases
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+ - [`bench.json`](build/webgpu/bench.json) — benchmark cases
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  - [`range.wgsl.jinja`](build/webgpu/range.wgsl.jinja)
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  ## Use with `@huggingface/kernels`
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  ```sh
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+ npm install --save-exact @huggingface/kernels@0.0.1-preview.3
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  ```
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  Outputs with inferable metadata are allocated automatically. Explicit `outputs` entries request optional results or provide metadata that cannot be inferred from the supplied inputs and attributes.
build/webgpu/metadata.json CHANGED
@@ -13,6 +13,6 @@
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  "test.json": "FCADlm+803+9dbYWs7BD/GxBMCjvF0fDwJP5R+vJ3xE="
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  }
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  },
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- "provenance": { "kernel": { "sha": "91d990483a174128daf7673f3f37a7c890493ae1", "dirty": false } },
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- "webgpu": { "manifestSpec": "2.0", "variants": { "scalar_inputs": ["range.wgsl.jinja"] } }
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  }
 
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  "test.json": "FCADlm+803+9dbYWs7BD/GxBMCjvF0fDwJP5R+vJ3xE="
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  }
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  },
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+ "provenance": { "kernel": { "sha": "6fdf6301e2bbcc2f03bf1eaf493b7ad55ef33afc", "dirty": false } },
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+ "webgpu": { "manifestSpec": "2.1", "variants": { "scalar_inputs": ["range.wgsl.jinja"] } }
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  }