[Misc] Fix ScalarType float4 naming (#17690)

Signed-off-by: Lucas Wilkinson <lwilkinson@neuralmagic.com>

tests/kernels/quantization/test_nvfp4_quant.py

@@ -17,7 +17,7 @@ PAD_SHAPES = [(90, 64), (150, 64), (128, 48), (128, 80), (150, 80), (90, 48),
 SEEDS = [42]
 CUDA_DEVICES = ['cuda:0']
 
-FLOAT4_E2M1_MAX = scalar_types.float4_e2m1fn.max()
+FLOAT4_E2M1_MAX = scalar_types.float4_e2m1f.max()
 FLOAT8_E4M3_MAX = torch.finfo(torch.float8_e4m3fn).max
 
 # E2M1 to float

tests/test_scalartype.py

@@ -11,7 +11,7 @@ from vllm.scalar_type import scalar_types
     (0, 15, scalar_types.uint4),
     (-8, 7, scalar_types.uint4b8),
     (-128, 127, scalar_types.uint8b128),
-    (-6., 6., scalar_types.float4_e2m1fn),
+    (-6., 6., scalar_types.float4_e2m1f),
     (-28., 28., scalar_types.float6_e3m2f),
     (torch.int8, scalar_types.int8),
     (torch.uint8, scalar_types.uint8),

vllm/scalar_type.py

@@ -333,7 +333,7 @@ class scalar_types:
     float6_e3m2f = ScalarType.float_(3, 2, True, NanRepr.NONE)
 
     # fp4, https://www.opencompute.org/documents/ocp-microscaling-formats-mx-v1-0-spec-final-pdf
-    float4_e2m1fn = ScalarType.float_(2, 1, True, NanRepr.NONE)
+    float4_e2m1f = ScalarType.float_(2, 1, True, NanRepr.NONE)
 
     # "gptq" types
     uint2b2 = ScalarType.uint(2, 2)