MAINT: remove a redundant one-liner

Author: ev-br

torch_np/_dtypes.py

@@ -254,10 +254,6 @@ def dtype(arg):
     return DType(arg)
 
 
-def torch_dtype_from(dtype_arg):
-    return dtype(dtype_arg).torch_dtype
-
-
 class DType:
     def __init__(self, arg):
         # a pytorch object?

torch_np/_getlimits.py

@@ -4,12 +4,12 @@
 
 
 def finfo(dtyp):
-    torch_dtype = _dtypes.torch_dtype_from(dtyp)
+    torch_dtype = _dtypes.dtype(dtyp).torch_dtype
     return torch.finfo(torch_dtype)
 
 
 def iinfo(dtyp):
-    torch_dtype = _dtypes.torch_dtype_from(dtyp)
+    torch_dtype = _dtypes.dtype(dtyp).torch_dtype
     return torch.iinfo(torch_dtype)
 
 

torch_np/_ndarray.py

@@ -149,7 +149,7 @@ def round(self, decimals=0, out=None):
     # ctors
     def astype(self, dtype):
         newt = ndarray()
-        torch_dtype = _dtypes.torch_dtype_from(dtype)
+        torch_dtype = _dtypes.dtype(dtype).torch_dtype
         newt._tensor = self._tensor.to(torch_dtype)
         return newt
 
@@ -439,7 +439,7 @@ def array(obj, dtype=None, *, copy=True, order="K", subok=False, ndmin=0, like=N
     # is a specific dtype requrested?
     torch_dtype = None
     if dtype is not None:
-        torch_dtype = _dtypes.torch_dtype_from(dtype)
+        torch_dtype = _dtypes.dtype(dtype).torch_dtype
         base = None
 
     tensor = _util._coerce_to_tensor(obj, torch_dtype, copy, ndmin)