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2 changes: 1 addition & 1 deletion tests/kernels/quantization/test_nvfp4_quant.py
Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,7 @@
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
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2 changes: 1 addition & 1 deletion tests/test_scalartype.py
Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@
(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),
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2 changes: 1 addition & 1 deletion vllm/scalar_type.py
Original file line number Diff line number Diff line change
Expand Up @@ -322,7 +322,7 @@ 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)
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