diff --git a/ivy/functional/frontends/paddle/tensor/manipulation.py b/ivy/functional/frontends/paddle/tensor/manipulation.py
index 7d0fa71ebe270..18de57a78386c 100644
--- a/ivy/functional/frontends/paddle/tensor/manipulation.py
+++ b/ivy/functional/frontends/paddle/tensor/manipulation.py
@@ -169,3 +169,14 @@ def take_along_axis(arr, indices, axis):
 @to_ivy_arrays_and_back
 def rot90(x, k=1, axes=(0, 1), name=None):
     return ivy.rot90(x, k=k, axes=axes)
+
+
+@with_supported_dtypes(
+    {
+        "2.5.0 and below": ("float32", "float64", "int32", "int64", "bool")
+    },
+    "paddle",
+)
+@to_ivy_arrays_and_back
+def resharp_(x, shape, name=None):
+    return ivy.reshape(x, shape, name=name)
diff --git a/ivy/functional/frontends/paddle/tensor/stat.py b/ivy/functional/frontends/paddle/tensor/stat.py
index a97120e4e3d12..5ab748003ec66 100644
--- a/ivy/functional/frontends/paddle/tensor/stat.py
+++ b/ivy/functional/frontends/paddle/tensor/stat.py
@@ -32,7 +32,12 @@ def nanquantile(a, q, axis=None, keepdims=False, interpolation="linear", out=Non
         a, q, axis=axis, keepdims=keepdims, interpolation=interpolation, out=out
     )
 
-
+@with_unsupported_dtypes({"2.4.2 and below": ("float16", "bfloat16")}, "paddle")
+)
+@to_ivy_arrays_and_back
+def quantile(x, q, axis=None, keepdims=False, name=None, out=None):
+    return ivy.quantile(x, q, axis=axis, keepdims=keepdims, out=out)
+    
 @with_supported_dtypes(
     {"2.5.1 and below": ("bool", "float16", "float32", "float64", "int32", "int64")},
     "paddle",
diff --git a/ivy_tests/test_ivy/test_frontends/test_paddle/test_tensor/test_manipulation.py b/ivy_tests/test_ivy/test_frontends/test_paddle/test_tensor/test_manipulation.py
index b28dfbc686720..ce641c485023d 100644
--- a/ivy_tests/test_ivy/test_frontends/test_paddle/test_tensor/test_manipulation.py
+++ b/ivy_tests/test_ivy/test_frontends/test_paddle/test_tensor/test_manipulation.py
@@ -674,3 +674,27 @@ def test_paddle_rot90(
         k=k,
         axes=tuple(axes),
     )
+
+@handle_frontend_test(
+    fn_tree="paddle.resharp_",
+    dtype_x_and_shape=_reshape_helper()
+)
+def test_paddle_resharp_(
+    *,
+    dtype_x_and_shape,
+    on_device,
+    fn_tree,
+    frontend,
+    test_flags,
+):
+    input_dtype, x, shape = dtype_x_and_shape
+    helpers.test_frontend_function(
+        input_dtypes=input_dtype,
+        backend_to_test=backend_fw,
+        frontend=frontend,
+        test_flags=test_flags,
+        fn_tree=fn_tree,
+        on_device=on_device,
+        x=x[0],
+        shape=shape,
+    )
diff --git a/ivy_tests/test_ivy/test_frontends/test_paddle/test_tensor/test_stat.py b/ivy_tests/test_ivy/test_frontends/test_paddle/test_tensor/test_stat.py
index f3c4fa485b3ca..f49840fc50063 100644
--- a/ivy_tests/test_ivy/test_frontends/test_paddle/test_tensor/test_stat.py
+++ b/ivy_tests/test_ivy/test_frontends/test_paddle/test_tensor/test_stat.py
@@ -193,3 +193,32 @@ def test_paddle_nanmedian(
         axis=axis,
         keepdim=keepdim,
     )
+
+@handle_frontend_test(
+    fn_tree="paddle.quantile",
+    dtype_and_x=_statistical_dtype_values(function="quantile"),
+    keepdims=st.booleans(),
+    q=st.floats(0.0, 1.0),
+)
+def test_paddle_quantile(
+    *,
+    q,
+    dtype_and_x,
+    keepdims,
+    frontend,
+    test_flags,
+    fn_tree,
+    on_device,
+):
+    input_dtypes, x, axis = dtype_and_x
+    helpers.test_frontend_function(
+        input_dtypes=input_dtypes,
+        frontend=frontend,
+        test_flags=test_flags,
+        fn_tree=fn_tree,
+        on_device=on_device,
+        x=x[0],
+        q=q,
+        axis=axis,
+        keepdims=keepdims,
+    )