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Kernels:
webgpu-kernels
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ai.onnx.Shape

Kernel card Files
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sync 6fdf6301e2bb

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  1. README.md +2 -2
  2. build/webgpu/metadata.json +2 -2
README.md CHANGED
@@ -49,13 +49,13 @@ Attributes and 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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  - [`shape.wgsl.jinja`](build/webgpu/shape.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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  Required output shapes and logical data types are inferred from the supplied inputs and attributes; result tensors are allocated automatically.
 
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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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  - [`shape.wgsl.jinja`](build/webgpu/shape.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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  Required output shapes and logical data types are inferred from the supplied inputs and attributes; result tensors are allocated automatically.
build/webgpu/metadata.json CHANGED
@@ -13,6 +13,6 @@
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  "test.json": "CY1CD4C9jPFMmdxqKd9PY4TbKI0vUgRvBY79x5eekt4="
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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": { "full_shape": ["shape.wgsl.jinja"] } }
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  }
 
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  "test.json": "CY1CD4C9jPFMmdxqKd9PY4TbKI0vUgRvBY79x5eekt4="
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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": { "full_shape": ["shape.wgsl.jinja"] } }
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  }