Files
sglang/test/registered/debug_utils/comparator/test_dims.py

377 lines
12 KiB
Python

import sys
import pytest
import torch
from sglang.srt.debug_utils.comparator.dims import (
BATCH_DIM_NAME,
SEQ_DIM_NAME,
SQUEEZE_DIM_NAME,
TOKEN_DIM_NAME,
DimSpec,
DimsSpec,
Ordering,
ParallelAxis,
ParallelModifier,
Reduction,
_SingletonDimUtil,
apply_dim_names,
find_dim_index,
parse_dim,
parse_dims,
resolve_dim_by_name,
resolve_dim_names,
strip_dim_names,
)
from sglang.test.ci.ci_register import register_cpu_ci
register_cpu_ci(est_time=10, suite="default", nightly=True)
class TestParseDim:
def test_plain_name(self) -> None:
assert parse_dim("b") == DimSpec(name="b")
def test_parallel_axis(self) -> None:
assert parse_dim("h(tp)") == DimSpec(
name="h",
parallel_modifiers=[ParallelModifier(axis=ParallelAxis.TP)],
)
def test_all_parallel_axes(self) -> None:
assert parse_dim("a(tp)").parallel_modifiers[0].axis == ParallelAxis.TP
assert parse_dim("a(cp)").parallel_modifiers[0].axis == ParallelAxis.CP
assert parse_dim("a(ep)").parallel_modifiers[0].axis == ParallelAxis.EP
assert parse_dim("a(sp)").parallel_modifiers[0].axis == ParallelAxis.SP
def test_ordering(self) -> None:
assert (
parse_dim("s(cp:zigzag)").parallel_modifiers[0].ordering == Ordering.ZIGZAG
)
assert (
parse_dim("s(cp:natural)").parallel_modifiers[0].ordering
== Ordering.NATURAL
)
def test_reduction(self) -> None:
assert (
parse_dim("h(tp:partial)").parallel_modifiers[0].reduction
== Reduction.PARTIAL
)
def test_all_qualifiers(self) -> None:
assert parse_dim("s(cp:zigzag+partial)") == DimSpec(
name="s",
parallel_modifiers=[
ParallelModifier(
axis=ParallelAxis.CP,
ordering=Ordering.ZIGZAG,
reduction=Reduction.PARTIAL,
),
],
)
def test_multi_axis(self) -> None:
result: DimSpec = parse_dim("t(cp:zigzag,sp)")
assert result.name == "t"
assert len(result.parallel_modifiers) == 2
assert result.parallel_modifiers[0] == ParallelModifier(
axis=ParallelAxis.CP, ordering=Ordering.ZIGZAG
)
assert result.parallel_modifiers[1] == ParallelModifier(axis=ParallelAxis.SP)
def test_invalid_token_raises(self) -> None:
with pytest.raises(ValueError, match="Invalid dim token"):
parse_dim("h()")
with pytest.raises(ValueError, match="Invalid dim token"):
parse_dim("h(tp(x))")
def test_unknown_axis_raises(self) -> None:
with pytest.raises(ValueError, match="Unknown axis"):
parse_dim("h(xyz)")
def test_unknown_qualifier_raises(self) -> None:
with pytest.raises(ValueError, match="Unknown qualifier"):
parse_dim("h(tp:foobar)")
def test_multiple_ordering_raises(self) -> None:
with pytest.raises(ValueError, match="Multiple ordering"):
parse_dim("s(cp:zigzag+natural)")
def test_multiple_reduction_raises(self) -> None:
with pytest.raises(ValueError, match="Multiple reduction"):
parse_dim("h(tp:partial+partial)")
def test_duplicate_axis_raises(self) -> None:
with pytest.raises(ValueError, match="Duplicate axis"):
parse_dim("h(tp,tp)")
def test_squeeze_dim(self) -> None:
assert parse_dim("1") == DimSpec(name="1")
def test_squeeze_dim_rejects_modifiers(self) -> None:
with pytest.raises(ValueError, match="Invalid dim token"):
parse_dim("1(tp)")
def test_squeeze_dim(self) -> None:
assert parse_dim("1") == DimSpec(name="1")
def test_squeeze_dim_rejects_modifiers(self) -> None:
with pytest.raises(ValueError, match="Invalid dim token"):
parse_dim("1(tp)")
class TestParseDims:
def test_multi_dims(self) -> None:
assert parse_dims("b s h d").dims == [
DimSpec(name="b"),
DimSpec(name="s"),
DimSpec(name="h"),
DimSpec(name="d"),
]
def test_single_dim(self) -> None:
assert parse_dims("t").dims == [DimSpec(name="t")]
def test_mixed_annotated(self) -> None:
assert parse_dims("b s(cp:zigzag) h(tp) d").dims == [
DimSpec(name="b"),
DimSpec(
name="s",
parallel_modifiers=[
ParallelModifier(axis=ParallelAxis.CP, ordering=Ordering.ZIGZAG),
],
),
DimSpec(
name="h",
parallel_modifiers=[ParallelModifier(axis=ParallelAxis.TP)],
),
DimSpec(name="d"),
]
def test_empty_string_raises(self) -> None:
with pytest.raises(ValueError, match="empty"):
parse_dims("")
def test_whitespace_only_raises(self) -> None:
with pytest.raises(ValueError, match="empty"):
parse_dims(" ")
def test_duplicate_name_raises(self) -> None:
with pytest.raises(ValueError, match="Duplicate"):
parse_dims("h h")
def test_with_squeeze_dims(self) -> None:
dims: list[DimSpec] = parse_dims("t 1 h").dims
assert len(dims) == 3
assert dims[0] == DimSpec(name="t")
assert dims[1] == DimSpec(name="1")
assert dims[2] == DimSpec(name="h")
def test_multiple_squeeze_dims_no_duplicate_error(self) -> None:
dims: list[DimSpec] = parse_dims("t 1 h 1 d").dims
assert len(dims) == 5
assert dims[1] == DimSpec(name="1")
assert dims[3] == DimSpec(name="1")
class TestDimConstants:
def test_token_dim_name(self) -> None:
assert TOKEN_DIM_NAME == "t"
def test_batch_dim_name(self) -> None:
assert BATCH_DIM_NAME == "b"
def test_seq_dim_name(self) -> None:
assert SEQ_DIM_NAME == "s"
class TestFindDimIndex:
def test_found(self) -> None:
specs: list[DimSpec] = parse_dims("b s h d").dims
assert find_dim_index(specs, "s") == 1
def test_not_found(self) -> None:
specs: list[DimSpec] = parse_dims("b s h d").dims
assert find_dim_index(specs, "t") is None
def test_first_dim(self) -> None:
specs: list[DimSpec] = parse_dims("t h d").dims
assert find_dim_index(specs, "t") == 0
def test_last_dim(self) -> None:
specs: list[DimSpec] = parse_dims("b s h d").dims
assert find_dim_index(specs, "d") == 3
def test_with_modifiers(self) -> None:
specs: list[DimSpec] = parse_dims("b s(cp:zigzag) h(tp) d").dims
assert find_dim_index(specs, "h") == 2
def test_empty_list(self) -> None:
assert find_dim_index([], "t") is None
class TestResolveDimByName:
def test_resolve_found(self) -> None:
tensor: torch.Tensor = torch.randn(2, 3, 4).refine_names("b", "s", "h")
assert resolve_dim_by_name(tensor, "b") == 0
assert resolve_dim_by_name(tensor, "s") == 1
assert resolve_dim_by_name(tensor, "h") == 2
def test_resolve_not_found_raises(self) -> None:
tensor: torch.Tensor = torch.randn(2, 3).refine_names("b", "s")
with pytest.raises(ValueError, match="not in tensor names"):
resolve_dim_by_name(tensor, "h")
def test_resolve_unnamed_raises(self) -> None:
tensor: torch.Tensor = torch.randn(2, 3)
with pytest.raises(ValueError, match="no names"):
resolve_dim_by_name(tensor, "b")
class TestApplyDimNames:
def test_apply(self) -> None:
tensor: torch.Tensor = torch.randn(2, 3, 4)
named: torch.Tensor = apply_dim_names(tensor, ["b", "s", "h"])
assert named.names == ("b", "s", "h")
assert named.shape == (2, 3, 4)
def test_apply_preserves_data(self) -> None:
tensor: torch.Tensor = torch.randn(2, 3)
named: torch.Tensor = apply_dim_names(tensor, ["x", "y"])
assert torch.equal(strip_dim_names(named), tensor)
class TestStripDimNames:
def test_strip(self) -> None:
tensor: torch.Tensor = torch.randn(2, 3).refine_names("a", "b")
stripped: torch.Tensor = strip_dim_names(tensor)
assert stripped.names == (None, None)
def test_strip_already_unnamed(self) -> None:
tensor: torch.Tensor = torch.randn(2, 3)
stripped: torch.Tensor = strip_dim_names(tensor)
assert stripped.names == (None, None)
class TestResolveDimNames:
def test_no_squeeze(self) -> None:
assert resolve_dim_names("t h d") == ["t", "h", "d"]
def test_single_squeeze(self) -> None:
assert resolve_dim_names("t 1 h") == ["t", "singleton0", "h"]
def test_multiple_squeeze(self) -> None:
assert resolve_dim_names("1 t 1 h") == [
"singleton0",
"t",
"singleton1",
"h",
]
class TestSingletonDimUtilFilterOut:
def test_no_squeeze(self) -> None:
specs: list[DimSpec] = parse_dims("t h d").dims
assert _SingletonDimUtil.filter_out(specs) == specs
def test_with_squeeze(self) -> None:
specs: list[DimSpec] = parse_dims("t 1 h").dims
filtered: list[DimSpec] = _SingletonDimUtil.filter_out(specs)
assert len(filtered) == 2
assert filtered[0].name == "t"
assert filtered[1].name == "h"
def test_all_squeeze(self) -> None:
specs: list[DimSpec] = parse_dims("1 1").dims
assert _SingletonDimUtil.filter_out(specs) == []
class TestSingletonDimUtilIsSqueeze:
def test_squeeze(self) -> None:
assert _SingletonDimUtil.is_squeeze(DimSpec(name=SQUEEZE_DIM_NAME)) is True
def test_non_squeeze(self) -> None:
assert _SingletonDimUtil.is_squeeze(DimSpec(name="t")) is False
class TestSingletonDimUtilMakeName:
def test_indices(self) -> None:
assert _SingletonDimUtil.make_name(0) == "singleton0"
assert _SingletonDimUtil.make_name(1) == "singleton1"
assert _SingletonDimUtil.make_name(99) == "singleton99"
class TestSingletonDimUtilSanitizeNames:
def test_no_squeeze(self) -> None:
assert _SingletonDimUtil.sanitize_names(["t", "h", "d"]) == ["t", "h", "d"]
def test_single_squeeze(self) -> None:
assert _SingletonDimUtil.sanitize_names(["t", "1", "h"]) == [
"t",
"singleton0",
"h",
]
def test_multiple_squeeze(self) -> None:
assert _SingletonDimUtil.sanitize_names(["1", "t", "1", "h"]) == [
"singleton0",
"t",
"singleton1",
"h",
]
def test_empty(self) -> None:
assert _SingletonDimUtil.sanitize_names([]) == []
class TestParseDimsWithHash:
"""parse_dims strips the ``#`` declaration section from dims."""
def test_shape_dims_unchanged(self) -> None:
assert parse_dims("b s h(tp) # dp:=moe_dp").dims == parse_dims("b s h(tp)").dims
def test_dp_group_alias_extracted(self) -> None:
assert parse_dims("b s h(tp) # dp:=moe_dp").dp_group_alias == "moe_dp"
def test_no_hash_no_alias(self) -> None:
assert parse_dims("b s h(tp)").dp_group_alias is None
def test_whitespace_around_hash(self) -> None:
assert parse_dims("t h # dp:=foo ").dims == parse_dims("t h").dims
assert parse_dims("t h # dp:=foo ").dp_group_alias == "foo"
def test_multiple_declarations_picks_dp(self) -> None:
result: DimsSpec = parse_dims("t h(tp) # dp:=moe_dp ep:replicated")
assert result.dims == parse_dims("t h(tp)").dims
assert result.dp_group_alias == "moe_dp"
def test_no_dp_alias_token(self) -> None:
assert parse_dims("t h(tp) # ep:replicated").dp_group_alias is None
class TestDpGroupAlias:
def test_basic(self) -> None:
assert parse_dims("b s h(tp) # dp:=moe_dp").dp_group_alias == "moe_dp"
def test_no_hash_returns_none(self) -> None:
assert parse_dims("t h").dp_group_alias is None
def test_no_dp_alias_token(self) -> None:
assert parse_dims("t h(tp) # ep:replicated").dp_group_alias is None
def test_multiple_tokens_picks_dp(self) -> None:
assert (
parse_dims("b s # ep:replicated dp:=custom_dp").dp_group_alias
== "custom_dp"
)
class TestResolveDimNamesWithHash:
def test_hash_stripped(self) -> None:
assert resolve_dim_names("t h # dp:=moe_dp") == ["t", "h"]
if __name__ == "__main__":
sys.exit(pytest.main([__file__]))