feat: added cholesky_solve function to paddle tensor class

ivy/functional/frontends/paddle/tensor/tensor.py

@@ -855,3 +855,7 @@ def unbind(self, axis=0):
     def cpu(self):
         self.ivy_array = ivy.to_device(self.ivy_array, ivy.as_ivy_dev("cpu"))
         return self
+
+    @with_supported_dtypes({"2.5.1 and below": ("float32", "float64")}, "paddle")
+    def cholesky_solve(self, y, upper=False, name=None):
+        return paddle_frontend.cholesky_solve(self._ivy_array, y, upper=upper)

ivy_tests/test_ivy/test_frontends/test_paddle/test_tensor/test_tensor.py

@@ -16,6 +16,10 @@
 from ivy_tests.test_ivy.test_functional.test_core.test_statistical import (
     _statistical_dtype_values,
 )
+from ivy_tests.test_ivy.test_frontends.test_tensorflow.test_linalg import (
+    _get_second_matrix,
+    _get_cholesky_matrix,
+)
 
 CLASS_TREE = "ivy.functional.frontends.paddle.Tensor"
 
@@ -1311,6 +1315,47 @@ def test_paddle_tensor_cholesky(
     )
 
 
+# cholesky_solve
+@handle_frontend_method(
+    class_tree=CLASS_TREE,
+    init_tree="paddle.to_tensor",
+    method_name="cholesky_solve",
+    dtype_and_x=_get_second_matrix(),
+    dtype_and_y=_get_cholesky_matrix(),
+)
+def test_paddle_tensor_cholesky_solve(
+    dtype_and_x,
+    dtype_and_y,
+    frontend_method_data,
+    init_flags,
+    method_flags,
+    frontend,
+    on_device,
+    backend_fw,
+):
+    input_dtype1, x = dtype_and_x
+    input_dtype2, y = dtype_and_y
+    helpers.test_frontend_method(
+        init_input_dtypes=[input_dtype1, input_dtype2],
+        backend_to_test=backend_fw,
+        init_all_as_kwargs_np={
+            "data": x,
+        },
+        method_input_dtypes=[input_dtype1, input_dtype2],
+        method_all_as_kwargs_np={
+            "y": y,
+            "upper": np.array_equal(y, np.triu(y)),
+        },
+        frontend_method_data=frontend_method_data,
+        init_flags=init_flags,
+        method_flags=method_flags,
+        frontend=frontend,
+        on_device=on_device,
+        rtol_=1e-3,
+        atol_=1e-3,
+    )
+
+
 @handle_frontend_method(
     class_tree=CLASS_TREE,
     init_tree="paddle.to_tensor",