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We implemented a number of new ops and data types to support running segment anything model on Chromium WebNN DML backend (POC) in a forked branch https://github.com/honry/onnxruntime/tree/stable-diffusion In this PR, we migrate the changes in the forked branch to main branch, includes: - 22 new ops - New tensor data types: bool, int32, uint32, uint64, int64, float16 (As JavaScript hasn't shipped Float16Array, we use Uint16Array as a workaound) - Handle empty input tensors and duplicated outputs - Fixed some nits |
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| .. | ||
| backend-impl.ts | ||
| backend.ts | ||
| env-impl.ts | ||
| env.ts | ||
| index.ts | ||
| inference-session-impl.ts | ||
| inference-session.ts | ||
| onnx-value.ts | ||
| tensor-impl.ts | ||
| tensor-utils.ts | ||
| tensor.ts | ||