Allow sdpa fusion to accept custom scale factor#2210
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Add fusion rules to support the optimization of Whisper models.
Fusions added:
- Basic Fusions:
* additional pattern for erfgelu [moved to #2222]
- SkipLayerNorm:
* #2259
* Fusion patterns where skip_sum is also an output
* Bias + SkipLayerNorm -> SkipLayerNorm (with bias) [moved to #2222]
- BiasGelu Fusion [moved to #2222]
- SDPA:
* Support for pattern where only q is pre-scaled
- MHA:
* Patterns with/without past/present keys/values
* Patterns with non-rotary embeddings
* Patterns with/without mask
* Patterns with cross-attention (only for past key/value patterns)
- MHA Bias Fusion:
* Bias was offloaded to Attention fusion previously, this fusion fixes
that
- Attention:
* Patterns where Q, K and V do not come from slicing
TODO:
- [x] Fix SDPA singular prescale case, due to lost shape information
- [x] - Enable check conditions when #2210 is merged
- [x] - Improve/Rewrite whisper model test case to be similar to that of
smollm (for eg)
- [x] - Fix failing test cases to account for new patterns
- [x] - Add isolated test cases for new fusions like BiasGelu,
SkipLayerNorm etc
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