[TIR] Schedule Primitive: Add-Unit-Loop #11575
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vinx13
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Jun 4, 2022
spectrometerHBH
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junrushao
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Following apache#11575, this PR allows CUDA thread binding for TIR programs like ```python @T.prim_func def zero_dim_add( A: T.Buffer[(), "float32"], B: T.Buffer[(), "float32"], C: T.Buffer[(), "float32"], ) -> None: with T.block("C"): vi = T.axis.spatial(1, 0) C[()] = A[()] + B[()] ``` where there is no loop available to be bound to threadIdx/blockIdx.
spectrometerHBH
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Following #11575, this PR allows CUDA thread binding for TIR programs like ```python @T.prim_func def zero_dim_add( A: T.Buffer[(), "float32"], B: T.Buffer[(), "float32"], C: T.Buffer[(), "float32"], ) -> None: with T.block("C"): vi = T.axis.spatial(1, 0) C[()] = A[()] + B[()] ``` where there is no loop available to be bound to threadIdx/blockIdx.
juda
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Jun 21, 2022
In TE, a unit loop could be introduced by fusing an empty list of loops on a stage. This PR adds its counterpart in TIR, while being a bit more explicit with a new schedule primitive which adds a unit loop without impacting any existing functionalities.
juda
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Jun 21, 2022
Following apache#11575, this PR allows CUDA thread binding for TIR programs like ```python @T.prim_func def zero_dim_add( A: T.Buffer[(), "float32"], B: T.Buffer[(), "float32"], C: T.Buffer[(), "float32"], ) -> None: with T.block("C"): vi = T.axis.spatial(1, 0) C[()] = A[()] + B[()] ``` where there is no loop available to be bound to threadIdx/blockIdx.
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In TE, a unit loop could be introduced by fusing an empty list of loops on a stage. This PR adds its counterpart in TIR, while being a bit more explicit with a new schedule primitive which adds a unit loop without impacting any existing functionalities.