[primTorch] Rename is_finite->isfinite (pytorch#78211)

`isfinite` sounds like a better name, because PyTorch, C++, numpy all have this name instead of `is_finite`

Pull Request resolved: pytorch#78211
Approved by: https://github.com/ngimel, https://github.com/mruberry

test/forward_backward_compatibility/check_forward_backward_compatibility.py

@@ -139,11 +139,7 @@
     ("aten::_weight_norm_cuda_interface", datetime.date(9999, 1, 1)),
     ("aten::_weight_norm_cuda_interface_backward", datetime.date(9999, 1, 1)),
     # TODO: FIXME: prims shouldn't be checked
-    ("prims::any", datetime.date(9999, 1, 1)),
-    ("prims::all", datetime.date(9999, 1, 1)),
-    ("prims::empty_like", datetime.date(9999, 1, 1)),
-    ("prims::select", datetime.date(9999, 1, 1)),
-    ("prims::concatenate", datetime.date(9999, 1, 1)),
+    ("prims::.*", datetime.date(9999, 1, 1)),
 ]
 
 ALLOW_LIST_COMPILED = [

torch/_prims/__init__.py

@@ -61,7 +61,7 @@
     "exp2",
     "fill",
     "floor",
-    "is_finite",
+    "isfinite",
     "is_infinite",
     "lgamma",
     "log",
@@ -626,8 +626,8 @@ def _isfinite_nvfuser(fd: Any, a: TensorLikeType):
     return fd.Ops.isfinite(a)  # type: ignore[attr-defined]
 
 
-is_finite = _make_elementwise_unary_prim(
-    "is_finite",
+isfinite = _make_elementwise_unary_prim(
+    "isfinite",
     impl_aten=torch.isfinite,
     impl_nvfuser=_isfinite_nvfuser,
     doc="",

torch/_refs/__init__.py

@@ -437,7 +437,7 @@ def _frac(x: TensorLikeType) -> TensorLikeType:
 
 def _isfinite(a: TensorLikeType) -> TensorLikeType:
     if utils.is_float_dtype(a.dtype) or utils.is_complex_dtype(a.dtype):
-        return prims.is_finite(a)
+        return prims.isfinite(a)
 
     return ones_like(a, dtype=torch.bool)