argmin #17061

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

@@ -13,3 +13,7 @@
 @to_ivy_arrays_and_back
 def argmax(x, /, *, axis=None, keepdim=False, dtype="int64", name=None):
     return ivy.argmax(x, axis=axis, keepdims=keepdim, dtype=dtype)
+
+@to_ivy_arrays_and_back
+def argmin(x, /, *, axis=None, keepdim=False, dtype="int64", name=None):
+    return ivy.argmin(x, axis=axis, keepdims=keepdim, dtype=dtype)

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

@@ -35,3 +35,33 @@ def test_paddle_argmax(
         axis=axis,
         keepdim=keepdim,
     )
+
+@handle_frontend_test(
+    fn_tree="paddle.argmin",
+    dtype_x_and_axis=helpers.dtype_values_axis(
+        available_dtypes=helpers.get_dtypes("valid"),
+        min_num_dims=1,
+        valid_axis=True,
+        force_int_axis=True,
+    ),
+    keepdim=st.booleans(),
+)
+def test_paddle_argmin(
+    dtype_x_and_axis,
+    keepdim,
+    frontend,
+    test_flags,
+    fn_tree,
+):
+    # Skipped dtype test due to paddle functions only accepting str and np.ndarray,
+    # but test_frontend_function changes dtype kwargs to native dtype
+    input_dtypes, x, axis = dtype_x_and_axis
+    helpers.test_frontend_function(
+        input_dtypes=input_dtypes,
+        frontend=frontend,
+        test_flags=test_flags,
+        fn_tree=fn_tree,
+        x=x[0],
+        axis=axis,
+        keepdim=keepdim,
+    )