[Eager]Fix full_like/clip with np.generic type as attribute (#41808) (#41974)

* [Eager]Fix full_like/clip with np.generic type as attribute

* support numpy genertic

* remove usless code

paddle/fluid/pybind/eager_utils.cc

@@ -1013,6 +1013,32 @@ paddle::experimental::Tensor& GetTensorFromPyObject(PyObject* obj) {
   return reinterpret_cast<TensorObject*>(obj)->tensor;
 }
 
+paddle::experimental::Scalar CastNumpy2Scalar(PyObject* obj,
+                                              const std::string& op_type,
+                                              ssize_t arg_pos) {
+  PyTypeObject* type = obj->ob_type;
+  auto type_name = std::string(type->tp_name);
+  VLOG(1) << "type_name: " << type_name;
+  if (type_name == "numpy.float64") {
+    double value = CastPyArg2Double(obj, op_type, arg_pos);
+    return paddle::experimental::Scalar(value);
+  } else if (type_name == "numpy.float32") {
+    float value = CastPyArg2Float(obj, op_type, arg_pos);
+    return paddle::experimental::Scalar(value);
+  } else if (type_name == "numpy.int64") {
+    int64_t value = CastPyArg2Long(obj, op_type, arg_pos);
+    return paddle::experimental::Scalar(value);
+  } else if (type_name == "numpy.int32") {
+    int value = CastPyArg2Int(obj, op_type, arg_pos);
+    return paddle::experimental::Scalar(value);
+  } else {
+    PADDLE_THROW(platform::errors::InvalidArgument(
+        "%s(): argument (position %d) must be "
+        "numpy.float32/float64, numpy.int32/int64, but got %s",
+        op_type, arg_pos + 1, type_name));  // NOLINT
+  }
+}
+
 paddle::experimental::Scalar CastPyArg2Scalar(PyObject* obj,
                                               const std::string& op_type,
                                               ssize_t arg_pos) {
@@ -1027,6 +1053,7 @@ paddle::experimental::Scalar CastPyArg2Scalar(PyObject* obj,
   // obj could be: int, float, bool, paddle.Tensor
   PyTypeObject* type = obj->ob_type;
   auto type_name = std::string(type->tp_name);
+  VLOG(1) << "type_name: " << type_name;
   if (type_name == "int") {
     int value = CastPyArg2Int(obj, op_type, arg_pos);
     return paddle::experimental::Scalar(value);
@@ -1042,7 +1069,8 @@ paddle::experimental::Scalar CastPyArg2Scalar(PyObject* obj,
     paddle::experimental::Tensor& value = GetTensorFromPyObject(
         op_type, "" /*arg_name*/, obj, arg_pos, false /*dispensable*/);
     return paddle::experimental::Scalar(value);
-
+  } else if (type_name.find("numpy") != std::string::npos) {
+    return CastNumpy2Scalar(obj, op_type, arg_pos);
   } else {
     PADDLE_THROW(platform::errors::InvalidArgument(
         "%s(): argument (position %d) must be "

paddle/fluid/pybind/eager_utils.h

@@ -158,6 +158,10 @@ paddle::experimental::Scalar CastPyArg2Scalar(PyObject* obj,
                                               const std::string& op_type,
                                               ssize_t arg_pos);
 
+paddle::experimental::Scalar CastNumpy2Scalar(PyObject* obj,
+                                              const std::string& op_type,
+                                              ssize_t arg_pos);
+
 paddle::experimental::IntArray CastPyArg2IntArray(PyObject* obj,
                                                   const std::string& op_type,
                                                   ssize_t arg_pos);

paddle/fluid/pybind/op_function_common.cc

@@ -174,8 +174,13 @@ void CastPyArg2AttrLong(PyObject* obj,
 
 float CastPyArg2Float(PyObject* obj, const std::string& op_type,
                       ssize_t arg_pos) {
+  return static_cast<float>(CastPyArg2Double(obj, op_type, arg_pos));
+}
+
+double CastPyArg2Double(PyObject* obj, const std::string& op_type,
+                        ssize_t arg_pos) {
   if (PyObject_CheckFloatOrToFloat(&obj)) {
-    return (float)PyFloat_AsDouble(obj);  // NOLINT
+    return PyFloat_AsDouble(obj);  // NOLINT
   } else {
     PADDLE_THROW(platform::errors::InvalidArgument(
         "%s(): argument (position %d) must be "

paddle/fluid/pybind/op_function_common.h

@@ -50,6 +50,8 @@ int64_t CastPyArg2Long(PyObject* obj, const std::string& op_type,
                        ssize_t arg_pos);
 float CastPyArg2Float(PyObject* obj, const std::string& op_type,
                       ssize_t arg_pos);
+double CastPyArg2Double(PyObject* obj, const std::string& op_type,
+                        ssize_t arg_pos);
 std::string CastPyArg2String(PyObject* obj, const std::string& op_type,
                              ssize_t arg_pos);
 std::vector<bool> CastPyArg2Booleans(PyObject* obj, const std::string& op_type,

python/paddle/fluid/tests/unittests/test_clip_op.py

@@ -221,6 +221,8 @@ class TestClipAPI(unittest.TestCase):
             paddle.cast(images * 10, 'int32'), min=2, max=8)
         out_5 = self._executed_api(
             paddle.cast(images * 10, 'int64'), min=2, max=8)
+        # test with numpy.generic
+        out_6 = self._executed_api(images, min=np.abs(0.2), max=np.abs(0.8))
 
         self.assertTrue(np.allclose(out_1.numpy(), data.clip(0.2, 0.8)))
         self.assertTrue(np.allclose(out_2.numpy(), data.clip(0.2, 0.9)))
@@ -229,6 +231,7 @@ class TestClipAPI(unittest.TestCase):
             np.allclose(out_4.numpy(), (data * 10).astype(np.int32).clip(2, 8)))
         self.assertTrue(
             np.allclose(out_5.numpy(), (data * 10).astype(np.int64).clip(2, 8)))
+        self.assertTrue(np.allclose(out_6.numpy(), data.clip(0.2, 0.8)))
 
     def test_eager(self):
         with _test_eager_guard():

python/paddle/fluid/tests/unittests/test_full_op.py

@@ -108,6 +108,9 @@ class TestFullAPI(unittest.TestCase):
                     shape=[1], dtype=np.float32, value=1.1)
                 out_7 = paddle.full(
                     shape=[1, 2], dtype=np.float32, fill_value=val)
+                # test for numpy.float64 as fill_value
+                out_8 = paddle.full_like(
+                    out_7, dtype=np.float32, fill_value=np.abs(1.1))
 
                 assert np.array_equal(
                     out_1, np.full(
@@ -130,6 +133,9 @@ class TestFullAPI(unittest.TestCase):
                 assert np.array_equal(
                     out_7, np.full(
                         [1, 2], 1.1, dtype="float32"))
+                assert np.array_equal(
+                    out_8, np.full(
+                        [1, 2], 1.1, dtype="float32"))
 
 
 class TestFullOpError(unittest.TestCase):