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Add spda rules and tests for unmasked patterns #2123

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21 changes: 20 additions & 1 deletion onnxscript/rewriter/ort_fusions/sdpa.py
Original file line number Diff line number Diff line change
Expand Up @@ -73,6 +73,21 @@ def rewrite(self, op, query, key_transposed, value, mask, **_):
return op.SDPA(query, key_transposed, value, mask, _domain="ai.onnxruntime.fusion")


# Rules for SDPA without mask
unmasked_pre_div_sdpa_rule = SDPA.rule(
"unmasked_pre_div_sdpa", use_mask=False, pre_scale=True, use_mul=False
)
unmasked_pre_mul_sdpa_rule = SDPA.rule(
"unmasked_pre_mul_sdpa", use_mask=False, pre_scale=True, use_mul=True
)
unmasked_post_div_sdpa_rule = SDPA.rule(
"unmasked_post_div_sdpa", use_mask=False, pre_scale=False, use_mul=False
)
unmasked_post_mul_sdpa_rule = SDPA.rule(
"unmasked_post_mul_sdpa", use_mask=False, pre_scale=False, use_mul=True
)

# Rules for SDPA with mask
masked_pre_div_sdpa_rule = SDPA.rule(
"masked_pre_div_sdpa", use_mask=True, pre_scale=True, use_mul=False
)
Expand All @@ -83,11 +98,15 @@ def rewrite(self, op, query, key_transposed, value, mask, **_):
"masked_post_div_sdpa", use_mask=True, pre_scale=False, use_mul=False
)
masked_post_mul_sdpa_rule = SDPA.rule(
"masked_post_div_sdpa", use_mask=True, pre_scale=False, use_mul=True
"masked_post_mul_sdpa", use_mask=True, pre_scale=False, use_mul=True
)

sdpa_rules = pattern.RewriteRuleSet(
[
unmasked_pre_mul_sdpa_rule,
unmasked_post_div_sdpa_rule,
unmasked_post_mul_sdpa_rule,
unmasked_pre_div_sdpa_rule,
masked_pre_mul_sdpa_rule,
masked_post_div_sdpa_rule,
masked_post_mul_sdpa_rule,
Expand Down
54 changes: 52 additions & 2 deletions onnxscript/rewriter/ort_fusions/sdpa_test.py
Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@
import unittest

import numpy
from parameterized import parameterized
import parameterized

import onnxscript.ir as ir
import onnxscript.optimizer
Expand All @@ -28,6 +28,52 @@
SQRT_MUL_SCALE_FACTOR = math.sqrt(MUL_SCALE_FACTOR)


@script()
def _unmasked_pre_div_sdpa_script(query, key, value, mask):
key_transposed = op.Transpose(key, perm=[0, 1, 3, 2])
divisor = op.Constant(value_float=SQRT_SCALE_FACTOR)
scaled_query = op.Div(query, divisor)
scaled_key = op.Div(key_transposed, divisor)
attn_score = op.MatMul(scaled_query, scaled_key)
attn_weight = op.Softmax(attn_score, axis=-1)
attn_output = op.MatMul(attn_weight, value)
return attn_output


@script()
def _unmasked_pre_mul_sdpa_script(query, key, value, mask):
key_transposed = op.Transpose(key, perm=[0, 1, 3, 2])
multiplier = op.Constant(value_float=SQRT_MUL_SCALE_FACTOR)
scaled_query = op.Mul(query, multiplier)
scaled_key = op.Mul(key_transposed, multiplier)
attn_score = op.MatMul(scaled_query, scaled_key)
attn_weight = op.Softmax(attn_score, axis=-1)
attn_output = op.MatMul(attn_weight, value)
return attn_output


@script()
def _unmasked_post_div_sdpa_script(query, key, value, mask):
key_transposed = op.Transpose(key, perm=[0, 1, 3, 2])
divisor = op.Constant(value_float=SCALE_FACTOR)
attn_score = op.MatMul(query, key_transposed)
scaled_attn_score = op.Div(attn_score, divisor)
attn_weight = op.Softmax(scaled_attn_score, axis=-1)
attn_output = op.MatMul(attn_weight, value)
return attn_output


@script()
def _unmasked_post_mul_sdpa_script(query, key, value, mask):
key_transposed = op.Transpose(key, perm=[0, 1, 3, 2])
multiplier = op.Constant(value_float=MUL_SCALE_FACTOR)
attn_score = op.MatMul(query, key_transposed)
scaled_attn_score = op.Mul(attn_score, multiplier)
attn_weight = op.Softmax(scaled_attn_score, axis=-1)
attn_output = op.MatMul(attn_weight, value)
return attn_output


@script()
def _masked_pre_div_sdpa_script(query, key, value, mask):
key_transposed = op.Transpose(key, perm=[0, 1, 3, 2])
Expand Down Expand Up @@ -105,8 +151,12 @@ def get_ort_inputs(self):


class TestSDPAFusion(unittest.TestCase):
@parameterized.expand(
@parameterized.parameterized.expand(
[
("unmasked_pre_div", _unmasked_pre_div_sdpa_script),
("unmasked_pre_mul", _unmasked_pre_mul_sdpa_script),
("unmasked_post_div", _unmasked_post_div_sdpa_script),
("unmasked_post_mul", _unmasked_post_mul_sdpa_script),
("pre_div", _masked_pre_div_sdpa_script),
("pre_mul", _masked_pre_mul_sdpa_script),
("post_div", _masked_post_div_sdpa_script),
Expand Down
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