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Calibrate reflection/replication pad 1D/2D/3D #31

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Calibrate reflection/replication pad 1D/2D/3D #31

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183 changes: 138 additions & 45 deletions facto/specdb/db.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3114,24 +3114,28 @@
InPosArg(
ArgType.Tensor,
name="self",
deps=[1],
constraints=[
cp.Dtype.Ne(lambda deps: torch.bool),
cp.Rank.In(lambda deps: [2, 3]),
cp.Size.Gt(lambda deps, r, d: 0 if d > 0 else None),
cp.Size.Gt(lambda deps, r, d: None if d == 0 and r == 3 else 0),
# padding[0] < self.size(-1)
cp.Size.Gt(lambda deps, r, d: deps[0][0] if d == r - 1 else None),
# padding[1] < self.size(-1)
cp.Size.Gt(lambda deps, r, d: deps[0][1] if d == r - 1 else None),
# padding[0] + padding[1] + self.size(-1) > 0
cp.Size.Gt(
lambda deps, r, d: (
-(deps[0][0] + deps[0][1]) if d == r - 1 else None
)
),
],
),
InPosArg(
ArgType.LengthList,
name="padding",
deps=[0],
constraints=[
cp.Length.Eq(lambda deps: 2),
cp.Value.Lt(
lambda deps, length, ix: (
deps[0].size(-ix - 1) if ix < 1 else None
)
),
# TODO(mcandales): Calibrate.
# self.size(-1) + padding[0] + padding[1] >= 0
],
),
],
Expand All @@ -3150,25 +3154,38 @@
InPosArg(
ArgType.Tensor,
name="self",
deps=[1],
constraints=[
cp.Dtype.Ne(lambda deps: torch.bool),
cp.Rank.In(lambda deps: [3, 4]),
cp.Size.Gt(lambda deps, r, d: 0 if d > 0 else None),
cp.Size.Gt(lambda deps, r, d: None if d == 0 and r == 4 else 0),
# padding[0] < self.size(-1)
cp.Size.Gt(lambda deps, r, d: deps[0][0] if d == r - 1 else None),
# padding[1] < self.size(-1)
cp.Size.Gt(lambda deps, r, d: deps[0][1] if d == r - 1 else None),
# padding[0] + padding[1] + self.size(-1) > 0
cp.Size.Gt(
lambda deps, r, d: (
-(deps[0][0] + deps[0][1]) if d == r - 1 else None
)
),
# padding[2] < self.size(-2)
cp.Size.Gt(lambda deps, r, d: deps[0][2] if d == r - 2 else None),
# padding[3] < self.size(-2)
cp.Size.Gt(lambda deps, r, d: deps[0][3] if d == r - 2 else None),
# padding[2] + padding[3] + self.size(-2) > 0
cp.Size.Gt(
lambda deps, r, d: (
-(deps[0][2] + deps[0][3]) if d == r - 2 else None
)
),
],
),
InPosArg(
ArgType.LengthList,
name="padding",
deps=[0],
constraints=[
cp.Length.Eq(lambda deps: 4),
cp.Value.Lt(
lambda deps, length, ix: (
deps[0].size(-ix - 1) if ix < 2 else None
)
),
# TODO(mcandales): Calibrate.
# self.size(-1) + padding[0] + padding[1] >= 0
# self.size(-2) + padding[2] + padding[3] >= 0
],
),
],
Expand All @@ -3187,26 +3204,48 @@
InPosArg(
ArgType.Tensor,
name="self",
deps=[1],
constraints=[
cp.Dtype.Ne(lambda deps: torch.bool),
cp.Rank.In(lambda deps: [4, 5]),
cp.Size.Gt(lambda deps, r, d: 0 if d > 0 else None),
cp.Size.Gt(lambda deps, r, d: None if d == 0 and r == 5 else 0),
# padding[0] < self.size(-1)
cp.Size.Gt(lambda deps, r, d: deps[0][0] if d == r - 1 else None),
# padding[1] < self.size(-1)
cp.Size.Gt(lambda deps, r, d: deps[0][1] if d == r - 1 else None),
# padding[0] + padding[1] + self.size(-1) > 0
cp.Size.Gt(
lambda deps, r, d: (
-(deps[0][0] + deps[0][1]) if d == r - 1 else None
)
),
# padding[2] < self.size(-2)
cp.Size.Gt(lambda deps, r, d: deps[0][2] if d == r - 2 else None),
# padding[3] < self.size(-2)
cp.Size.Gt(lambda deps, r, d: deps[0][3] if d == r - 2 else None),
# padding[2] + padding[3] + self.size(-2) > 0
cp.Size.Gt(
lambda deps, r, d: (
-(deps[0][2] + deps[0][3]) if d == r - 2 else None
)
),
# padding[4] < self.size(-3)
cp.Size.Gt(lambda deps, r, d: deps[0][4] if d == r - 3 else None),
# padding[5] < self.size(-3)
cp.Size.Gt(lambda deps, r, d: deps[0][5] if d == r - 3 else None),
# padding[4] + padding[5] + self.size(-3) > 0
cp.Size.Gt(
lambda deps, r, d: (
-(deps[0][4] + deps[0][5]) if d == r - 3 else None
)
),
],
),
InPosArg(
ArgType.LengthList,
name="padding",
deps=[0],
constraints=[
cp.Length.Eq(lambda deps: 6),
cp.Value.Lt(
lambda deps, length, ix: (
deps[0].size(-ix - 1) if ix < 3 else None
)
),
# TODO(mcandales): Calibrate.
# self.size(-1) + padding[0] + padding[1] >= 0
# self.size(-2) + padding[2] + padding[3] >= 0
# self.size(-3) + padding[4] + padding[5] >= 0
],
),
],
Expand Down Expand Up @@ -3319,19 +3358,28 @@
InPosArg(
ArgType.Tensor,
name="self",
deps=[1],
constraints=[
cp.Dtype.Ne(lambda deps: torch.bool),
cp.Rank.In(lambda deps: [2, 3]),
cp.Size.Gt(lambda deps, r, d: 0 if d > 0 else None),
cp.Size.Gt(lambda deps, r, d: None if d == 0 and r == 3 else 0),
# padding[0] < self.size(-1)
cp.Size.Gt(lambda deps, r, d: deps[0][0] if d == r - 1 else None),
# padding[1] < self.size(-1)
cp.Size.Gt(lambda deps, r, d: deps[0][1] if d == r - 1 else None),
# padding[0] + padding[1] + self.size(-1) > 0
cp.Size.Gt(
lambda deps, r, d: (
-(deps[0][0] + deps[0][1]) if d == r - 1 else None
)
),
],
),
InPosArg(
ArgType.LengthList,
name="padding",
deps=[0],
constraints=[
cp.Length.Eq(lambda deps: 2),
# TODO(mcandales): Calibrate.
# self.size(-1) + padding[0] + padding[1] >= 0
],
),
],
Expand All @@ -3350,20 +3398,38 @@
InPosArg(
ArgType.Tensor,
name="self",
deps=[1],
constraints=[
cp.Dtype.Ne(lambda deps: torch.bool),
cp.Rank.In(lambda deps: [3, 4]),
cp.Size.Gt(lambda deps, r, d: 0 if d > 0 else None),
cp.Size.Gt(lambda deps, r, d: None if d == 0 and r == 4 else 0),
# padding[0] < self.size(-1)
cp.Size.Gt(lambda deps, r, d: deps[0][0] if d == r - 1 else None),
# padding[1] < self.size(-1)
cp.Size.Gt(lambda deps, r, d: deps[0][1] if d == r - 1 else None),
# padding[0] + padding[1] + self.size(-1) > 0
cp.Size.Gt(
lambda deps, r, d: (
-(deps[0][0] + deps[0][1]) if d == r - 1 else None
)
),
# padding[2] < self.size(-2)
cp.Size.Gt(lambda deps, r, d: deps[0][2] if d == r - 2 else None),
# padding[3] < self.size(-2)
cp.Size.Gt(lambda deps, r, d: deps[0][3] if d == r - 2 else None),
# padding[2] + padding[3] + self.size(-2) > 0
cp.Size.Gt(
lambda deps, r, d: (
-(deps[0][2] + deps[0][3]) if d == r - 2 else None
)
),
],
),
InPosArg(
ArgType.LengthList,
name="padding",
deps=[0],
constraints=[
cp.Length.Eq(lambda deps: 4),
# TODO(mcandales): Calibrate.
# self.size(-1) + padding[0] + padding[1] >= 0
# self.size(-2) + padding[2] + padding[3] >= 0
],
),
],
Expand All @@ -3382,21 +3448,48 @@
InPosArg(
ArgType.Tensor,
name="self",
deps=[1],
constraints=[
cp.Dtype.Ne(lambda deps: torch.bool),
cp.Rank.In(lambda deps: [4, 5]),
cp.Size.Gt(lambda deps, r, d: 0 if d > 0 else None),
cp.Size.Gt(lambda deps, r, d: None if d == 0 and r == 5 else 0),
# padding[0] < self.size(-1)
cp.Size.Gt(lambda deps, r, d: deps[0][0] if d == r - 1 else None),
# padding[1] < self.size(-1)
cp.Size.Gt(lambda deps, r, d: deps[0][1] if d == r - 1 else None),
# padding[0] + padding[1] + self.size(-1) > 0
cp.Size.Gt(
lambda deps, r, d: (
-(deps[0][0] + deps[0][1]) if d == r - 1 else None
)
),
# padding[2] < self.size(-2)
cp.Size.Gt(lambda deps, r, d: deps[0][2] if d == r - 2 else None),
# padding[3] < self.size(-2)
cp.Size.Gt(lambda deps, r, d: deps[0][3] if d == r - 2 else None),
# padding[2] + padding[3] + self.size(-2) > 0
cp.Size.Gt(
lambda deps, r, d: (
-(deps[0][2] + deps[0][3]) if d == r - 2 else None
)
),
# padding[4] < self.size(-3)
cp.Size.Gt(lambda deps, r, d: deps[0][4] if d == r - 3 else None),
# padding[5] < self.size(-3)
cp.Size.Gt(lambda deps, r, d: deps[0][5] if d == r - 3 else None),
# padding[4] + padding[5] + self.size(-3) > 0
cp.Size.Gt(
lambda deps, r, d: (
-(deps[0][4] + deps[0][5]) if d == r - 3 else None
)
),
],
),
InPosArg(
ArgType.LengthList,
name="padding",
deps=[0],
constraints=[
cp.Length.Eq(lambda deps: 6),
# TODO(mcandales): Calibrate.
# self.size(-1) + padding[0] + padding[1] >= 0
# self.size(-2) + padding[2] + padding[3] >= 0
# self.size(-3) + padding[4] + padding[5] >= 0
],
),
],
Expand Down