mirror of
https://github.com/saymrwulf/onnxruntime.git
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0df2e14038
argmax and argmin are similar to reduce. Eventually we need to add optimized flavors of the shader. softmax is optimized but only works on the last axis for now which should be the common use case. todo: enable more ut for argmax/argmin
77 lines
3.4 KiB
Markdown
77 lines
3.4 KiB
Markdown
## Operators Support Table
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The following table shows ONNX
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operators and the supported opset domain/versions in WebGPU EP by ONNX Runtime Web. For example,
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`4-6, 8+` means ONNX Runtime Web currently support opset version 4 to 6, 8 and above.
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*This file is automatically generated from the
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def files via [this script](../script/generate-webgpu-operator-md.ts).
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Do not modify directly.*
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| Operator | Opset | Comments |
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|:--------:|:-------------:|-----|
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| Abs | ai.onnx(6-12,13+) | |
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| Acos | ai.onnx(7+) | |
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| Acosh | ai.onnx(9+) | |
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| Add | ai.onnx(7-12,13,14+) | |
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| ArgMax | ai.onnx(1-10,11-12,13+) | |
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| ArgMin | ai.onnx(1-10,11-12,13+) | |
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| Asin | ai.onnx(7+) | |
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| Asinh | ai.onnx(9+) | |
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| Atan | ai.onnx(7+) | |
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| Atanh | ai.onnx(9+) | |
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| AveragePool | ai.onnx(7-9,10,11+); com.ms.internal.nhwc(11+) | need perf optimization; need implementing activation |
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| Ceil | ai.onnx(6-12,13+) | |
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| Clip | ai.onnx(6-10,11,12,13+) | |
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| Concat | ai.onnx(1-3,4-10,11-12,13+) | |
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| Conv | ai.onnx(1-10,11+); com.ms.internal.nhwc(11+) | need perf optimization; conv3d is not supported; need implementing activation |
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| ConvTranspose | ai.onnx(1-10,11+); com.ms.internal.nhwc(11+) | need perf optimization; ConvTranspose3d is not supported; need implementing activation |
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| Cos | ai.onnx(7+) | |
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| Cosh | ai.onnx(9+) | |
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| Div | ai.onnx(7-12,13,14+) | |
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| Elu | ai.onnx(6+) | |
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| Erf | ai.onnx(9-12,13+) | |
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| Exp | ai.onnx(6-12,13+) | |
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| Expand | ai.onnx(8-12,13+) | |
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| Flatten | ai.onnx(1-8,9-10,11-12,13+) | |
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| Floor | ai.onnx(6-12,13+) | |
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| Gelu | com.microsoft(1+) | |
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| Gemm | ai.onnx(7-8,9-10,11+) | |
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| GlobalAveragePool | ai.onnx(1+); com.ms.internal.nhwc(1+) | |
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| GlobalMaxPool | ai.onnx(1+); com.ms.internal.nhwc(1+) | |
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| LeakyRelu | ai.onnx(6-15,16+) | |
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| MatMul | ai.onnx(1-12,13+) | |
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| MaxPool | ai.onnx(1-7,8-9,10,11,12+); com.ms.internal.nhwc(11,12+) | need perf optimization; need implementing activation |
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| MemcpyFromHost | ai.onnx(1+) | |
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| MemcpyToHost | ai.onnx(1+) | |
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| Mul | ai.onnx(7-12,13,14+) | |
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| Neg | ai.onnx(6-12,13+) | |
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| Pow | ai.onnx(7-11,12,13-14,15+) | |
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| Reciprocal | ai.onnx(6-12,13+) | |
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| ReduceL1 | ai.onnx(1-10,11-12,13-17,18+) | |
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| ReduceL2 | ai.onnx(1-10,11-12,13-17,18+) | |
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| ReduceLogSum | ai.onnx(1-10,11-12,13-17,18+) | |
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| ReduceLogSumExp | ai.onnx(1-10,11-12,13-17,18+) | |
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| ReduceMax | ai.onnx(1-10,11,12,13-17,18+) | |
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| ReduceMean | ai.onnx(1-10,11-12,13-17,18+) | |
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| ReduceMin | ai.onnx(1-10,11,12,13-17,18+) | |
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| ReduceProd | ai.onnx(1-10,11-12,13-17,18+) | |
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| ReduceSum | ai.onnx(1-10,11-12,13+) | |
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| ReduceSumSquare | ai.onnx(1-10,11-12,13-17,18+) | |
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| Relu | ai.onnx(6-12,13,14+) | |
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| Reshape | ai.onnx(5-12,13,14+) | no GPU kernel |
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| Resize | ai.onnx(10,11-12,13-17,18,19+); com.ms.internal.nhwc(10,11-12,13-17,18,19+) | CoordinateTransformMode align_corners is not supported with downsampling |
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| Shape | ai.onnx(1-12,13-14,15+) | no GPU kernel; an ORT warning is generated - need to fix |
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| Sigmoid | ai.onnx(6-12,13+) | |
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| Sin | ai.onnx(7+) | |
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| Sinh | ai.onnx(9+) | |
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| Slice | ai.onnx(1-9,10,11-12,13+) | |
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| Softmax | ai.onnx(1-10,11-12,13+) | |
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| Split | ai.onnx(1,2-10,11-12,13-17,18+) | |
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| Sqrt | ai.onnx(6-12,13+) | |
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| Squeeze | ai.onnx(1-10,11-12,13+) | |
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| Sub | ai.onnx(7-12,13,14+) | |
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| Tan | ai.onnx(7+) | |
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| ThresholdedRelu | ai.onnx(10+) | |
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| Transpose | ai.onnx(1-12,13+) | need perf optimization |
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| Unsqueeze | ai.onnx(1-10,11-12,13+) | |
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