Support unifying axis ordering in dump comparator (#19456)
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@@ -882,6 +882,80 @@ class TestEntrypointGroupingLogical:
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assert comp.name == "hidden"
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class TestEntrypointAxisSwapper:
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"""Test cross-framework dim reordering through the full entrypoint pipeline."""
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def test_axis_swap_different_dim_order(self, tmp_path, capsys):
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"""Baseline dims 'b h d' vs target dims 'b d h': axis swapper rearranges baseline to match."""
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torch.manual_seed(42)
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full_tensor = torch.randn(4, 8, 16)
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baseline_dir = tmp_path / "baseline"
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target_dir = tmp_path / "target"
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_create_rank_dump(
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baseline_dir,
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rank=0,
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name="hidden",
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tensor=full_tensor,
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dims="b h d",
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)
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_create_rank_dump(
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target_dir,
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rank=0,
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name="hidden",
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tensor=full_tensor.permute(0, 2, 1).contiguous(),
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dims="b d h",
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)
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args = _make_args(
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baseline_dir / _FIXED_EXP_NAME,
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target_dir / _FIXED_EXP_NAME,
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diff_threshold=1e-3,
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)
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records = _run_and_parse(args, capsys)
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comp = _assert_single_comparison_passed(records)
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assert comp.name == "hidden"
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assert comp.baseline.shape == [4, 16, 8]
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assert comp.target.shape == [4, 16, 8]
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def test_axis_swap_with_tp_unshard(self, tmp_path, capsys):
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"""Baseline TP=2 with dims 'b h(tp) d' vs target TP=2 with dims 'b d h(tp)': unshard + axis swap."""
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torch.manual_seed(42)
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full_tensor = torch.randn(4, 8, 16)
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baseline_dir = tmp_path / "baseline"
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target_dir = tmp_path / "target"
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_create_tp_sharded_dumps(
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baseline_dir,
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full_tensor=full_tensor,
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name="hidden",
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tp_size=2,
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shard_dim=1,
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dims_str="b h(tp) d",
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)
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_create_tp_sharded_dumps(
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target_dir,
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full_tensor=full_tensor.permute(0, 2, 1).contiguous(),
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name="hidden",
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tp_size=2,
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shard_dim=2,
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dims_str="b d h(tp)",
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)
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args = _make_args(
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baseline_dir / _FIXED_EXP_NAME,
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target_dir / _FIXED_EXP_NAME,
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diff_threshold=1e-3,
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)
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records = _run_and_parse(args, capsys)
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comp = _assert_single_comparison_passed(records)
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assert comp.name == "hidden"
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class TestEntrypointReplicatedAxis:
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"""Test replicated-axis scenarios through the full entrypoint pipeline."""
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