[AMD][torch.compile] Enable silu+fp8_quant fusion for rocm (#18082)

Signed-off-by: charlifu <charlifu@amd.com>

tests/kernels/test_fused_quant_activation.py

@@ -5,9 +5,10 @@ import torch
 import vllm._custom_ops as ops
 from tests.kernels.utils import opcheck
 from vllm.model_executor.layers.activation import SiluAndMul
+from vllm.platforms import current_platform
 
 DTYPES = [torch.bfloat16, torch.float16]
-QUANT_DTYPES = [torch.float8_e4m3fn]
+QUANT_DTYPES = [current_platform.fp8_dtype()]
 NUM_TOKENS = [1, 17, 86, 1234, 3045]  # Arbitrary values for testing
 HIDDEN_SIZES = [16, 48, 128, 1562, 4096]  # Arbitrary values for testing
 SEEDS = [0]
@@ -26,7 +27,7 @@ def ref_impl(silu_and_mul: SiluAndMul, x: torch.Tensor,
 def ops_impl(x: torch.Tensor, scale: torch.Tensor) -> torch.Tensor:
     out_shape = (x.shape[0], x.shape[1] // 2)
     out = torch.empty(out_shape,
-                      dtype=torch.torch.float8_e4m3fn,
+                      dtype=current_platform.fp8_dtype(),
                       device=x.device)
     torch.ops._C.silu_and_mul_quant(out, x, scale)
     return out