ivy/functional/frontends/torch/tensor.py

@@ -1071,16 +1071,6 @@ def masked_fill_(self, mask, value):
         self.ivy_array = self.masked_fill(mask, value).ivy_array
         return self
 
-    def masked_scatter(self, mask, source):
-        ret = self.clone()
-        ret.index_put(torch_frontend.nonzero(mask, as_tuple=True), source)
-        return ret
-
-
-    def masked_scatter_(self, mask, source):
-        self.index_put(torch_frontend.nonzero(mask, as_tuple=True), source)
-        return self
-
     @with_unsupported_dtypes({"2.2 and below": ("float16", "bfloat16")}, "torch")
     def index_add_(self, dim, index, source, *, alpha=1):
         self.ivy_array = torch_frontend.index_add(
@@ -2310,16 +2300,10 @@ def corrcoef(self):
 
     def index_put(self, indices, values, accumulate=False):
         ret = self.clone()
-        def _set_add(index):
-            ret[index] += values
-
-        def _set(index):
-            ret[index] = values
-
         if accumulate:
-            ivy.map(fn=_set_add, unique={"index": indices})
+            ret[indices[0]] += values
         else:
-            ivy.map(fn=_set, unique={"index": indices})
+            ret[indices[0]] = values
         return ret
 
     def index_put_(self, indices, values, accumulate=False):