feat(Paddle Frontend-API): (max_pool1d)

ivy/functional/frontends/paddle/nn/functional/pooling.py

@@ -100,6 +100,40 @@ def avg_pool2d(
     )
 
 
+@to_ivy_arrays_and_back
+@with_supported_dtypes({"2.5.1 and below": ("float32", "float64")}, "paddle")
+def max_pool1d(
+    x,
+    kernel_size,
+    stride=None,
+    padding=0,
+    ceil_mode=False,
+    name=None,
+):
+    data_format = "NCW"
+    if stride is None:
+        stride = kernel_size
+    kernel_size = _broadcast_pooling_helper(kernel_size, "1d", name="kernel_size")
+    padding = _broadcast_pooling_helper(padding, "1d", name="padding")
+
+    # Figure out padding string
+    if all(
+        [pad == ivy.ceil((kernel - 1) / 2) for kernel, pad in zip(kernel_size, padding)]
+    ):
+        padding = "SAME"
+    else:
+        padding = "VALID"
+
+    return ivy.max_pool1d(
+        x,
+        kernel_size,
+        stride,
+        padding,
+        data_format=data_format,
+        ceil_mode=ceil_mode,
+    )
+
+
 @to_ivy_arrays_and_back
 @with_supported_dtypes({"2.5.1 and below": ("float32", "float64")}, "paddle")
 def max_unpool1d(

ivy_tests/test_ivy/test_frontends/test_paddle/test_nn/test_functional/test_pooling.py

@@ -276,6 +276,53 @@ def test_paddle_avg_pool2d(
     )
 
 
+# max_pool1d
+
+
+@handle_frontend_test(
+    fn_tree="paddle.nn.functional.pooling.max_pool1d",
+    dtypes_and_x_k_s=helpers.arrays_for_pooling(
+        min_dims=3,
+        max_dims=3,
+        min_side=2,
+        max_side=4,
+        data_format="channel_first",
+    ),
+    ceil_mode=st.just(False),
+)
+def test_paddle_max_pool1d(
+    dtypes_and_x_k_s,
+    ceil_mode,
+    *,
+    test_flags,
+    backend_fw,
+    frontend,
+    fn_tree,
+    on_device,
+):
+    input_dtype, x, kernel_size, stride, padding = dtypes_and_x_k_s
+    if padding == "SAME":
+        padding = test_pooling_functions.calculate_same_padding(
+            kernel_size, stride, [x[0].shape[2]]
+        )
+    else:
+        padding = (0,)
+
+    helpers.test_frontend_function(
+        input_dtypes=input_dtype,
+        test_flags=test_flags,
+        backend_to_test=backend_fw,
+        frontend=frontend,
+        fn_tree=fn_tree,
+        on_device=on_device,
+        x=x[0],
+        kernel_size=kernel_size,
+        stride=stride,
+        padding=padding,
+        ceil_mode=ceil_mode,
+    )
+
+
 # max_unpool1d
 @handle_frontend_test(
     fn_tree="paddle.nn.functional.max_unpool1d",