[Eager, Performance optimization] support less_than & less_equal( < & <=...

[Eager, Performance optimization] support less_than & less_equal( < & <= operator) to sink to Cpp layer (#46542)

paddle/fluid/pybind/eager_math_op_patch.cc

@@ -933,6 +933,176 @@ static PyObject* tensor__ge__method(TensorObject* self,
   EAGER_CATCH_AND_THROW_RETURN_NULL
 }
 
+static PyObject* tensor__lt__method(TensorObject* self,
+                                    PyObject* args,
+                                    PyObject* kwargs) {
+  paddle::platform::RecordEvent pythonc_record_event(
+      "__lt__ pybind_patch_func",
+      paddle::platform::TracerEventType::UserDefined,
+      1);
+
+  EAGER_TRY
+  VLOG(1) << "Running Eager tensor__lt__method";
+
+  // Set Device ID
+  auto place = egr::Controller::Instance().GetExpectedPlace();
+  SetDevice(place);
+
+  paddle::experimental::Tensor ret;
+  paddle::experimental::Tensor self_tensor = self->tensor;
+  PyObject* other_obj = PyTuple_GET_ITEM(args, 0);
+
+  // 1. scalar exists cases
+  // there is no scalar function for __lt__ now
+  float other_float = 0.0;
+  bool has_other_float = false;
+  if (PyFloat_Check(other_obj) || PyCheckInteger(other_obj) ||
+      IsNumpyType(other_obj)) {
+    if (PyFloat_Check(other_obj)) {
+      other_float = CastPyArg2AttrFloat(other_obj, 0);
+      has_other_float = true;
+      if (_supported_int_dtype_.find(self_tensor.dtype()) !=
+          _supported_int_dtype_.end()) {
+        eager_gil_scoped_release guard;
+        self_tensor = cast_ad_func(self_tensor, DataType::FLOAT32);
+      }
+    } else if (PyCheckInteger(other_obj) || IsNumpyType(other_obj)) {
+      other_float = static_cast<float>(CastPyArg2AttrInt(other_obj, 0));
+      has_other_float = true;
+    }
+  }
+
+  // 2. create or get tensor for other_obj
+  paddle::experimental::Tensor other_tensor;
+  if (has_other_float) {
+    eager_gil_scoped_release guard;
+    other_tensor = full_ad_func(self_tensor.shape(),
+                                phi::Scalar(other_float),
+                                self_tensor.dtype(),
+                                place);
+  } else if (!PyCheckTensor(other_obj)) {
+    paddle::experimental::Scalar value =
+        CastPyArg2Scalar(other_obj, "__lt__", 0);
+    if (PyComplex_Check(other_obj)) {
+      eager_gil_scoped_release guard;
+      other_tensor = full_ad_func({1}, value, DataType::COMPLEX64, place);
+    } else {
+      eager_gil_scoped_release guard;
+      other_tensor =
+          full_ad_func(self_tensor.shape(), value, self_tensor.dtype(), place);
+    }
+  } else {
+    other_tensor = CastPyArg2Tensor(other_obj, 0);
+  }
+
+  // 3. promote types or unify right var type to left var
+  phi::DataType lhs_dtype = self_tensor.dtype();
+  phi::DataType rhs_dtype = other_tensor.dtype();
+  if (lhs_dtype != rhs_dtype) {
+    LOG(WARNING) << "The dtype of left and right Tensor are not the same, left "
+                    "dtype is "
+                 << lhs_dtype << ", but right dtype is " << rhs_dtype
+                 << ", the right dtype will convert to " << lhs_dtype;
+    eager_gil_scoped_release guard;
+    other_tensor = cast_ad_func(other_tensor, lhs_dtype);
+  }
+
+  // 4. calculation
+  VLOG(6) << "Calling less_than_ad_func in tensor__lt__method";
+  {
+    eager_gil_scoped_release guard;
+    ret = less_than_ad_func(self_tensor, other_tensor, -1);
+  }
+
+  return ToPyObject(ret);
+  EAGER_CATCH_AND_THROW_RETURN_NULL
+}
+
+static PyObject* tensor__le__method(TensorObject* self,
+                                    PyObject* args,
+                                    PyObject* kwargs) {
+  paddle::platform::RecordEvent pythonc_record_event(
+      "__le__ pybind_patch_func",
+      paddle::platform::TracerEventType::UserDefined,
+      1);
+
+  EAGER_TRY
+  VLOG(1) << "Running Eager tensor__le__method";
+
+  // Set Device ID
+  auto place = egr::Controller::Instance().GetExpectedPlace();
+  SetDevice(place);
+
+  paddle::experimental::Tensor ret;
+  paddle::experimental::Tensor self_tensor = self->tensor;
+  PyObject* other_obj = PyTuple_GET_ITEM(args, 0);
+
+  // 1. scalar exists cases
+  // there is no scalar function for __le__ now
+  float other_float = 0.0;
+  bool has_other_float = false;
+  if (PyFloat_Check(other_obj) || PyCheckInteger(other_obj) ||
+      IsNumpyType(other_obj)) {
+    if (PyFloat_Check(other_obj)) {
+      other_float = CastPyArg2AttrFloat(other_obj, 0);
+      has_other_float = true;
+      if (_supported_int_dtype_.find(self_tensor.dtype()) !=
+          _supported_int_dtype_.end()) {
+        eager_gil_scoped_release guard;
+        self_tensor = cast_ad_func(self_tensor, DataType::FLOAT32);
+      }
+    } else if (PyCheckInteger(other_obj) || IsNumpyType(other_obj)) {
+      other_float = static_cast<float>(CastPyArg2AttrInt(other_obj, 0));
+      has_other_float = true;
+    }
+  }
+
+  // 2. create or get tensor for other_obj
+  paddle::experimental::Tensor other_tensor;
+  if (has_other_float) {
+    eager_gil_scoped_release guard;
+    other_tensor = full_ad_func(self_tensor.shape(),
+                                phi::Scalar(other_float),
+                                self_tensor.dtype(),
+                                place);
+  } else if (!PyCheckTensor(other_obj)) {
+    paddle::experimental::Scalar value =
+        CastPyArg2Scalar(other_obj, "__le__", 0);
+    if (PyComplex_Check(other_obj)) {
+      eager_gil_scoped_release guard;
+      other_tensor = full_ad_func({1}, value, DataType::COMPLEX64, place);
+    } else {
+      eager_gil_scoped_release guard;
+      other_tensor =
+          full_ad_func(self_tensor.shape(), value, self_tensor.dtype(), place);
+    }
+  } else {
+    other_tensor = CastPyArg2Tensor(other_obj, 0);
+  }
+
+  // 3. promote types or unify right var type to left var
+  phi::DataType lhs_dtype = self_tensor.dtype();
+  phi::DataType rhs_dtype = other_tensor.dtype();
+  if (lhs_dtype != rhs_dtype) {
+    LOG(WARNING) << "The dtype of left and right Tensor are not the same, left "
+                    "dtype is "
+                 << lhs_dtype << ", but right dtype is " << rhs_dtype
+                 << ", the right dtype will convert to " << lhs_dtype;
+    eager_gil_scoped_release guard;
+    other_tensor = cast_ad_func(other_tensor, lhs_dtype);
+  }
+
+  // 4. calculation
+  VLOG(6) << "Calling less_equal_ad_func in tensor__le__method";
+  {
+    eager_gil_scoped_release guard;
+    ret = less_equal_ad_func(self_tensor, other_tensor, -1);
+  }
+
+  return ToPyObject(ret);
+  EAGER_CATCH_AND_THROW_RETURN_NULL
+}
+
 PyMethodDef math_op_patch_methods[] = {
     {"__add__",
      (PyCFunction)(void (*)(void))tensor__add__method,
@@ -982,6 +1152,14 @@ PyMethodDef math_op_patch_methods[] = {
      (PyCFunction)(void (*)(void))tensor__ge__method,
      METH_VARARGS | METH_KEYWORDS,
      NULL},
+    {"__lt__",
+     (PyCFunction)(void (*)(void))tensor__lt__method,
+     METH_VARARGS | METH_KEYWORDS,
+     NULL},
+    {"__le__",
+     (PyCFunction)(void (*)(void))tensor__le__method,
+     METH_VARARGS | METH_KEYWORDS,
+     NULL},
     {NULL, NULL, 0, NULL}};
 
 }  // namespace pybind

python/paddle/fluid/dygraph/math_op_patch.py

@@ -400,8 +400,6 @@ def monkey_patch_math_varbase():
         # for logical compare
         ('__eq__', _binary_creator_('__eq__', 'equal', False, None, True)),
         ('__ne__', _binary_creator_('__ne__', 'not_equal', False, None, True)),
-        ('__lt__', _binary_creator_('__lt__', 'less_than', False, None, True)),
-        ('__le__', _binary_creator_('__le__', 'less_equal', False, None, True)),
         ('__array_ufunc__', None)
     ]
 
@@ -418,6 +416,8 @@ def monkey_patch_math_varbase():
         '__rtruediv__',
         '__gt__',
         '__ge__',
+        '__lt__',
+        '__le__',
     ]
 
     global _already_patch_varbase