feat(paddle): Addmm paddle tensor method. Closes #25985

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

@@ -269,6 +269,10 @@ def add_(self, y, name=None):
         self.ivy_array = paddle_frontend.add(self, y).ivy_array
         return self
 
+    @with_supported_dtypes({"2.5.1 and below": ("float32", "float64")}, "paddle")
+    def addmm(self, x, y, beta=1.0, alpha=1.0, name=None):
+        return paddle_frontend.addmm(self, x, y, beta, alpha)
+
     @with_supported_dtypes(
         {"2.5.1 and below": ("float16", "float32", "float64", "int32", "int64")},
         "paddle",

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

@@ -16,6 +16,9 @@
 from ivy_tests.test_ivy.test_functional.test_core.test_statistical import (
     _statistical_dtype_values,
 )
+from ivy_tests.test_ivy.test_frontends.test_torch.test_blas_and_lapack_ops import (
+    _get_dtype_and_3dbatch_matrices,
+)
 
 CLASS_TREE = "ivy.functional.frontends.paddle.Tensor"
 
@@ -514,6 +517,56 @@ def test_paddle_tensor_add_n(
     )
 
 
+# addmm
+@handle_frontend_method(
+    class_tree=CLASS_TREE,
+    init_tree="paddle.to_tensor",
+    method_name="addmm",
+    dtype_input_xy=_get_dtype_and_3dbatch_matrices(with_input=True, input_3d=True),
+    beta=st.floats(
+        min_value=-5,
+        max_value=5,
+        allow_nan=False,
+        allow_subnormal=False,
+        allow_infinity=False,
+    ),
+    alpha=st.floats(
+        min_value=-5,
+        max_value=5,
+        allow_nan=False,
+        allow_subnormal=False,
+        allow_infinity=False,
+    ),
+)
+def test_paddle_tensor_addmm(
+    *,
+    dtype_input_xy,
+    beta,
+    alpha,
+    frontend_method_data,
+    init_flags,
+    method_flags,
+    frontend,
+    on_device,
+    backend_fw,
+):
+    input_dtype, input, x, y = dtype_input_xy
+    helpers.test_frontend_method(
+        init_input_dtypes=input_dtype,
+        backend_to_test=backend_fw,
+        init_all_as_kwargs_np={
+            "data": input[0],
+        },
+        method_input_dtypes=input_dtype,
+        method_all_as_kwargs_np={"x": x[0], "y": y[0], "beta": beta, "alpha": alpha},
+        frontend_method_data=frontend_method_data,
+        init_flags=init_flags,
+        method_flags=method_flags,
+        frontend=frontend,
+        on_device=on_device,
+    )
+
+
 # all
 @handle_frontend_method(
     class_tree=CLASS_TREE,