MKA: Code Implementation for Paddle min function along with its test …

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

@@ -479,3 +479,10 @@ def amax(x, axis=None, keepdims=False):
         if i < 0 or i >= x.ndim:
             raise ValueError("axis {} is out of range [-{}:{}]".format(i, 0, x.ndim))
     return ivy.max(x, axis=axis, keepdims=keepdims)
+
+@with_supported_dtypes(
+    {"2.5.1 and below": ("float32", "float64", "int32", "int64")}, "paddle"
+)
+@to_ivy_arrays_and_back
+def min(x, axis=None, keepdim=False, name=None):
+    return ivy.min(x, axis=axis, keepdims=keepdim)

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

@@ -2048,3 +2048,35 @@ def test_paddle_amax(
         on_device=on_device,
         x=x[0],
     )
+
+@handle_frontend_test(
+    fn_tree="paddle.tensor.math.min",
+    dtype_and_x=helpers.dtype_values_axis(
+        available_dtypes=helpers.get_dtypes("valid"),
+        min_axis=-1,
+        max_axis=0,
+        min_num_dims=1,
+        force_int_axis=False,
+    ),
+)
+def test_paddle_min(
+    *,
+    dtype_and_x,
+    on_device,
+    fn_tree,
+    frontend,
+    backend_fw,
+    test_flags,
+):
+    input_dtype, x, axis = dtype_and_x
+    helpers.test_frontend_function(
+        input_dtypes=input_dtype,
+        frontend=frontend,
+        backend_to_test=backend_fw,
+        test_flags=test_flags,
+        fn_tree=fn_tree,
+        on_device=on_device,
+        x=x[0],
+        axis=axis,
+        keepdim=False,
+    )