added cosine_similarity and test to paddlepaddle frontend

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

@@ -1 +1,25 @@
 # local
+import ivy
+from ivy.functional.frontends.paddle.func_wrapper import to_ivy_arrays_and_back
+from ivy.func_wrapper import with_unsupported_dtypes
+
+
+@with_unsupported_dtypes({"2.0.1 and below": ("float16", "bfloat16")}, "torch")
+@to_ivy_arrays_and_back
+def cosine_similarity(x1, x2, *, axis=1, eps=1e-08):
+    if len(x1.shape) == len(x2.shape) and len(x2.shape) >= 2:
+        numerator = ivy.sum(x1 * x2, axis=axis)
+        x1_squared_norm = ivy.sum(ivy.square(x1), axis=axis)
+        x2_squared_norm = ivy.sum(ivy.square(x2), axis=axis)
+    else:
+        numerator = ivy.sum(x1 * x2)
+        x1_squared_norm = ivy.sum(ivy.square(x1))
+        x2_squared_norm = ivy.sum(ivy.square(x2))
+
+    x1_norm = ivy.sqrt(x1_squared_norm)
+    x2_norm = ivy.sqrt(x2_squared_norm)
+    norm_mm = x1_norm * x2_norm
+    denominator = ivy.maximum(norm_mm, eps)
+
+    cosine = numerator / denominator
+    return cosine

ivy_tests/test_ivy/test_frontends/test_paddle/test_nn/test_paddle_common.py

@@ -0,0 +1,43 @@
+# global
+from hypothesis import strategies as st
+
+# local
+import ivy_tests.test_ivy.helpers as helpers
+from ivy_tests.test_ivy.helpers import handle_frontend_test
+
+
+# Cosine Similarity
+@handle_frontend_test(
+    fn_tree="paddle.nn.functional.common.cosine_similarity",
+    d_type_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("float"),
+        num_arrays=2,
+        shared_dtype=True,
+        min_value=2,
+        max_value=5,
+        min_dim_size=2,
+        shape=(4, 4),
+    ),
+    axis=st.integers(min_value=-1, max_value=1),
+)
+def test_paddle_cosine_similarity(
+    *,
+    d_type_and_x,
+    axis,
+    on_device,
+    fn_tree,
+    frontend,
+    test_flags,
+):
+    dtype, x = d_type_and_x
+    helpers.test_frontend_function(
+        input_dtypes=dtype,
+        frontend=frontend,
+        test_flags=test_flags,
+        fn_tree=fn_tree,
+        on_device=on_device,
+        rtol=1e-01,
+        x1=x[0],
+        x2=x[1],
+        axis=axis,
+    )