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feat: Add support for is_causal
argument in attention
#2780
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Apr 26, 2024
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@@ -46,6 +51,17 @@ def scaled_dot_product_attention( | |||
mm, | |||
scale, | |||
) | |||
|
|||
if is_causal: |
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This doesn't support dynamic shapes right ?
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The current implementation does not, no
Changes LGTM |
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component: api [Python]
Issues re: Python API
component: conversion
Issues re: Conversion stage
component: converters
Issues re: Specific op converters
component: dynamo
Issues relating to the `torch.compile` or `torch._dynamo.export` paths
component: lowering
Issues re: The lowering / preprocessing passes
component: tests
Issues re: Tests
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Description
is_causal
argument in attention converterType of change
Checklist: