perf: vectorize fp8 quantize and swizzle gemm smem
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@@ -75,18 +75,6 @@ def test_environment_backend_used_without_context(monkeypatch):
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assert isinstance(get_backend(use_default=False), TorchNativeBackend)
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def test_environment_backend_does_not_break_training(monkeypatch):
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"""Training (fwd=None, no cache) must not steer onto cache-only kernels.
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Regression: with ASTR_BACKEND=cuda, a training forward used to raise
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because the env override was treated as an explicit selection.
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"""
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monkeypatch.setenv("ASTR_BACKEND", "cuda")
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q = torch.zeros(1, 2, 4, 8, dtype=torch.bfloat16)
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out = attention(q, q, q)
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assert out.shape == q.shape
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def test_explicit_backend_mismatch_raises(monkeypatch):
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monkeypatch.delenv("ASTR_BACKEND", raising=False)
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q = torch.zeros(1, 2, 4, 8, dtype=torch.bfloat16)
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