fix: Changed default clips to be 1-d tensors

Signed-off-by: Brandon Groth <[email protected]>

Author: BrandonGroth

fms_mo/quant_refactor/pact2_new.py

@@ -23,8 +23,8 @@
 from fms_mo.quant_refactor.base_quant import Qscheme, Quantizer
 from fms_mo.quant_refactor.per_tensor_ste import PerTensorSTE, PerTensorSTE_PTnative
 
-clip_valn_default = torch.tensor(-8.0)
-clip_val_default = torch.tensor(8.0)
+clip_valn_default = torch.tensor([-8.0])
+clip_val_default = torch.tensor([8.0])
 qscheme_per_tensor = Qscheme(
     unit="perT",
     symmetric=False,

fms_mo/quant_refactor/pact2sym_new.py

@@ -23,8 +23,8 @@
 from fms_mo.quant_refactor.base_quant import Qscheme, Quantizer
 from fms_mo.quant_refactor.per_tensor_ste import PerTensorSTE, PerTensorSTE_PTnative
 
-clip_valn_default = torch.tensor(-8.0)
-clip_val_default = torch.tensor(8.0)
+clip_valn_default = torch.tensor([-8.0])
+clip_val_default = torch.tensor([8.0])
 qscheme_per_tensor = Qscheme(
     unit="perT",
     symmetric=True,

fms_mo/quant_refactor/pact_new.py

@@ -23,8 +23,8 @@
 from fms_mo.quant_refactor.base_quant import Qscheme, Quantizer
 from fms_mo.quant_refactor.per_tensor_ste import PerTensorSTE, PerTensorSTE_PTnative
 
-clip_valn_default = torch.tensor(0.0)
-clip_val_default = torch.tensor(8.0)
+clip_valn_default = torch.tensor([0.0])
+clip_val_default = torch.tensor([8.0])
 qscheme_per_tensor = Qscheme(
     unit="perT",
     symmetric=False,

fms_mo/quant_refactor/pactplussym_new.py

@@ -23,8 +23,8 @@
 from fms_mo.quant_refactor.base_quant import Qscheme, Quantizer
 from fms_mo.quant_refactor.per_tensor_ste import PerTensorSTE, PerTensorSTE_PTnative
 
-clip_valn_default = torch.tensor(-8.0)
-clip_val_default = torch.tensor(8.0)
+clip_valn_default = torch.tensor([-8.0])
+clip_val_default = torch.tensor([8.0])
 qscheme_per_tensor = Qscheme(
     unit="perT",
     symmetric=True,

fms_mo/quant_refactor/qmax_new.py

@@ -30,8 +30,8 @@
     PerTensorSTEQmax_PTnative,
 )
 
-clip_valn_default = torch.FloatTensor(-8.0)
-clip_val_default = torch.FloatTensor(8.0)
+clip_valn_default = torch.Tensor([-8.0])
+clip_val_default = torch.Tensor([8.0])
 qscheme_per_tensor = Qscheme(
     unit="perT",
     symmetric=False,

fms_mo/quant_refactor/sawb_new.py

@@ -36,8 +36,8 @@
 # from fms_mo.quant_refactor.linear_utils import linear_dequantize, linear_quantize
 from fms_mo.quant_refactor.sawb_utils import sawb_params, sawb_params_code
 
-clip_valn_default = torch.tensor(-8.0)
-clip_val_default = torch.tensor(8.0)
+clip_valn_default = torch.tensor([-8.0])
+clip_val_default = torch.tensor([8.0])
 qscheme_per_tensor = Qscheme(
     unit="perT",
     symmetric=False,