[QNN EP] Support HardSigmoid #20508
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[QNN EP] Support HardSigmoid #20508
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adrianlizarraga
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jywu-msft
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May 1, 2024
HectorSVC
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May 2, 2024
HectorSVC
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May 2, 2024
…. Reuse code to move a TensorWrapper obj.
adrianlizarraga
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May 2, 2024
jywu-msft
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May 2, 2024
yihonglyu
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May 4, 2024
### Description - Adds support for float32/float16 HardSigmoid on HTP backend. Decomposes `HardSigmoid(X)` into `max(0, min(1, alpha * X + beta))`. - Fuses the sequence `X * HardSigmoid<alpha=1/6, beta=0.5>(X)` into a single `HardSwish(x)`. Only applies to non-quantized HardSigmoid/Mul. ### Motivation and Context QNN does not natively support HardSigmoid. These changes expand model support on QNN EP.
TedThemistokleous
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May 7, 2024
### Description - Adds support for float32/float16 HardSigmoid on HTP backend. Decomposes `HardSigmoid(X)` into `max(0, min(1, alpha * X + beta))`. - Fuses the sequence `X * HardSigmoid<alpha=1/6, beta=0.5>(X)` into a single `HardSwish(x)`. Only applies to non-quantized HardSigmoid/Mul. ### Motivation and Context QNN does not natively support HardSigmoid. These changes expand model support on QNN EP.
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Description
HardSigmoid(X)intomax(0, min(1, alpha * X + beta)).X * HardSigmoid<alpha=1/6, beta=0.5>(X)into a singleHardSwish(x). Only applies to non-quantized HardSigmoid/Mul.Motivation and Context
QNN does not natively support HardSigmoid. These changes expand model support on QNN EP.