add control/status API (#37885)

* add control/status API, test=develop

* fix import error, test=develop

* add is_grad_enabled unittest, test=develop

* add code comment for example code and API, test=develop

* add checking for type, test=develop

* add api description, test=develop

* fix docs index_en, test=document_fix

* fix doc of is_floating_point, test=document_fix

python/paddle/__init__.py

@@ -72,6 +72,7 @@ from .tensor.attribute import rank  # noqa: F401
 from .tensor.attribute import shape  # noqa: F401
 from .tensor.attribute import real  # noqa: F401
 from .tensor.attribute import imag  # noqa: F401
+from .tensor.attribute import is_floating_point  # noqa: F401
 from .tensor.creation import to_tensor  # noqa: F401
 from .tensor.creation import diag  # noqa: F401
 from .tensor.creation import diagflat  # noqa: F401
@@ -285,6 +286,7 @@ from .framework import CUDAPinnedPlace  # noqa: F401
 from .autograd import grad  # noqa: F401
 from .autograd import no_grad  # noqa: F401
 from .autograd import set_grad_enabled  # noqa: F401
+from .autograd import is_grad_enabled  # noqa: F401
 from .framework import save  # noqa: F401
 from .framework import load  # noqa: F401
 from .framework import DataParallel  # noqa: F401
@@ -453,6 +455,7 @@ __all__ = [  # noqa
            'shape',
            'real',
            'imag',
+           'is_floating_point',
            'complex',
            'reciprocal',
            'rand',
@@ -468,6 +471,7 @@ __all__ = [  # noqa
            'median',
            'no_grad',
            'set_grad_enabled',
+           'is_grad_enabled',
            'mod',
            'abs',
            'tril',

python/paddle/autograd/__init__.py

@@ -16,7 +16,7 @@ from ..fluid.dygraph.base import grad  # noqa: F401
 from . import backward_mode  # noqa: F401
 from .backward_mode import backward  # noqa: F401
 from .py_layer import PyLayer, PyLayerContext  # noqa: F401
-from ..framework import set_grad_enabled  # noqa: F401
+from ..framework import set_grad_enabled, is_grad_enabled  # noqa: F401
 from ..fluid.dygraph.base import no_grad_ as no_grad  # noqa: F401
 from .functional import jacobian, hessian, batch_jacobian, batch_hessian  # noqa: F401
 from .functional import vjp, jvp, vhp  # noqa: F401

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

@@ -317,6 +317,13 @@ class TestImperative(unittest.TestCase):
             self.assertTrue(tmp2._grad_ivar() is not None)
             self.assertTrue(l0.weight._grad_ivar() is not None)
 
+    def test_paddle_imperative_is_grad_enabled(self):
+        with fluid.dygraph.guard():
+            with paddle.set_grad_enabled(False):
+                self.assertTrue(paddle.is_grad_enabled() is False)
+                with paddle.set_grad_enabled(True):
+                    self.assertTrue(paddle.is_grad_enabled())
+
     def test_sum_op(self):
         x = np.ones([2, 2], np.float32)
         with fluid.dygraph.guard():

python/paddle/framework/__init__.py

@@ -19,6 +19,7 @@ from .random import seed  # noqa: F401
 from .framework import get_default_dtype  # noqa: F401
 from .framework import set_default_dtype  # noqa: F401
 from .framework import set_grad_enabled  # noqa: F401
+from .framework import is_grad_enabled  # noqa: F401
 
 from ..fluid.param_attr import ParamAttr  # noqa: F401
 from ..fluid.layers.tensor import create_parameter  # noqa: F401

python/paddle/framework/framework.py

@@ -116,3 +116,28 @@ def set_grad_enabled(mode):
             tracer._has_grad = prev_mode
     else:
         yield
+
+
+def is_grad_enabled():
+    """
+    Returns whether current dygraph gradient calculation mode is enabled.
+
+    Returns:
+        bool: True if current dygraph gradient calculation mode is enabled, otherwise false.
+
+    Examples:
+        .. code-block:: python
+            
+            import paddle
+            
+            # Dygraph gradient calculation mode is enabled by default.
+            paddle.is_grad_enabled() # True
+
+            with paddle.set_grad_enabled(False):
+                paddle.is_grad_enabled() # False
+
+            paddle.enable_static()
+            paddle.is_grad_enabled() # False
+    """
+    tracer = _dygraph_tracer()
+    return tracer._has_grad if tracer else False

python/paddle/tensor/__init__.py

@@ -18,6 +18,7 @@ from .attribute import rank  # noqa: F401
 from .attribute import shape  # noqa: F401
 from .attribute import real  # noqa: F401
 from .attribute import imag  # noqa: F401
+from .attribute import is_floating_point  # noqa: F401
 from .creation import to_tensor  # noqa: F401
 from .creation import diag  # noqa: F401
 from .creation import diagflat  # noqa: F401
@@ -418,6 +419,7 @@ tensor_method_func  = [ #noqa
            'shape',
            'real',
            'imag',
+           'is_floating_point',
            'digamma',
            'diagonal',
            'trunc',

python/paddle/tensor/attribute.py

@@ -81,6 +81,30 @@ def is_complex(x):
 
 
 def is_floating_point(x):
+    """
+    Returns whether the dtype of `x` is one of paddle.float64, paddle.float32, paddle.float16, and paddle.bfloat16.
+
+    Args:
+        x (Tensor): The input tensor.
+
+    Returns:
+        bool: True if the dtype of `x` is floating type, otherwise false.
+
+    Examples:
+        .. code-block:: python
+
+            import paddle
+
+            x = paddle.arange(1., 5., dtype='float32')
+            y = paddle.arange(1, 5, dtype='int32')
+            print(paddle.is_floating_point(x))
+            # True
+            print(paddle.is_floating_point(y))
+            # False
+    """
+    if not isinstance(x, (paddle.Tensor, paddle.static.Variable)):
+        raise TypeError("Expected Tensor, but received type of x: {}".format(
+            type(x)))
     dtype = x.dtype
     is_fp_dtype = (dtype == core.VarDesc.VarType.FP32 or
                    dtype == core.VarDesc.VarType.FP64 or