added digamma in paddle frontend

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

@@ -166,6 +166,13 @@ def diff(x, n=1, axis=-1, prepend=None, append=None, name=None):
     return ivy.diff(x, n=n, axis=axis, prepend=prepend, append=append)
 
 
+@with_supported_dtypes({"2.5.1 and below": ("float32", "float64")}, "paddle")
+@to_ivy_arrays_and_back
+def digamma(x, name=None):
+    digamma_fun = ivy.digamma
+    return ivy.array(digamma_fun(x), dtype=x.dtype)
+
+
 @with_unsupported_dtypes({"2.5.1 and below": ("float16", "bfloat16")}, "paddle")
 @to_ivy_arrays_and_back
 def divide(x, y, name=None):

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

@@ -699,6 +699,36 @@ def test_paddle_diff(
     )
 
 
+# digamma
+@handle_frontend_test(
+    fn_tree="paddle.tensor.math.digamma",
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("float"),
+        safety_factor_scale="log",
+    ),
+)
+def test_paddle_digamma(
+    *,
+    dtype_and_x,
+    on_device,
+    fn_tree,
+    frontend,
+    backend_fw,
+    test_flags,
+):
+    input_dtype, x = 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,
+        atol=1e-4,
+        x=x[0],
+    )
+
+
 # divide
 @handle_frontend_test(
     fn_tree="paddle.divide",