bernoulli_instance (ivy-llc#19445)

Co-authored-by: Anwaar Khalid <shahanwaar.khalid8@gmail.com>

ivy/functional/frontends/torch/tensor.py

@@ -1011,6 +1011,10 @@ def addr_(self, vec1, vec2, *, beta=1, alpha=1):
     def dot(self, tensor):
         return torch_frontend.dot(self, tensor)
 
+    @with_supported_dtypes({"2.0.1 and below": ("float32", "float64")}, "torch")
+    def bernoulli(self, *, generator=None, out=None):
+        return torch_frontend.bernoulli(self._ivy_array, generator=generator, out=out)
+
     # Special Methods #
     # -------------------#
 

ivy_tests/test_ivy/test_frontends/test_torch/test_tensor.py

@@ -1726,6 +1726,38 @@ def test_torch_instance_aminmax(
     )
 
 
+# bernoulli
+@handle_frontend_method(
+    class_tree=CLASS_TREE,
+    init_tree="torch.tensor",
+    method_name="bernoulli",
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("valid"),
+    ),
+    test_with_out=st.just(True),
+)
+def test_torch_instance_bernoulli(
+    dtype_and_x,
+    frontend,
+    frontend_method_data,
+    init_flags,
+    method_flags,
+):
+    input_dtype, x = dtype_and_x
+    helpers.test_frontend_method(
+        init_input_dtypes=input_dtype,
+        init_all_as_kwargs_np={
+            "input": x[0],
+        },
+        method_input_dtypes=input_dtype,
+        method_all_as_kwargs_np={"generator": x[1], "out": x[2]},
+        frontend_method_data=frontend_method_data,
+        init_flags=init_flags,
+        method_flags=method_flags,
+        frontend=frontend,
+    )
+
+
 # contiguous
 @handle_frontend_method(
     class_tree=CLASS_TREE,