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tests/kernels/test_mamba_ssm.py

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@@ -326,13 +326,9 @@ def test_selective_state_update(dim, dstate, has_z, itype):
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@pytest.mark.parametrize("itype",
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[torch.float32, torch.float16, torch.bfloat16])
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# @pytest.mark.parametrize('itype', [torch.float16])
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@pytest.mark.parametrize("has_z", [False, True])
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# @pytest.mark.parametrize('has_z', [True])
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@pytest.mark.parametrize("dstate", [16, 32, 64])
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# @pytest.mark.parametrize("dstate", [16])
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@pytest.mark.parametrize("dim", [2048, 2048 + 16, 4096])
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# @pytest.mark.parametrize("dim", [2048])
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def test_selective_state_update_with_batch_indices(dim, dstate, has_z, itype):
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device = "cuda"
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rtol, atol = (3e-4, 1e-3) if itype == torch.float32 else (5e-3, 1e-2)
@@ -391,17 +387,11 @@ def test_selective_state_update_with_batch_indices(dim, dstate, has_z, itype):
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@pytest.mark.parametrize("itype",
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[torch.float32, torch.float16, torch.bfloat16])
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#@pytest.mark.parametrize('itype', [torch.float32])
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@pytest.mark.parametrize("has_z", [False, True])
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# @pytest.mark.parametrize('has_z', [True])
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@pytest.mark.parametrize("tie_hdim", [False, True])
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# @pytest.mark.parametrize('tie_hdim', [True])
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@pytest.mark.parametrize("ngroups", [1, 2, 4])
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# @pytest.mark.parametrize("ngroups", [2])
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@pytest.mark.parametrize("dstate", [16, 32, 64])
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# @pytest.mark.parametrize("dstate", [16])
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@pytest.mark.parametrize("dim", [2048, 4096])
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# @pytest.mark.parametrize("dim", [2048])
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def test_selective_state_update_with_heads_with_batch_indices(
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dim, dstate, ngroups, has_z, tie_hdim, itype):
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device = "cuda"

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