add attr 'shape' and 'dtype' and interface 'asnumpy' for Tensor

mindspore/ccsrc/utils/tensor_py.cc

@@ -268,7 +268,7 @@ REGISTER_PYBIND_DEFINE(Tensor, ([](const py::module *m) {
                                 }),
                                 py::arg("input"), py::arg("dtype") = nullptr)
                            .def_property("init_flag", &Tensor::is_init, &Tensor::set_init_flag)
-                           .def_property_readonly("dtype", &Tensor::Dtype, R"mydelimiter(
+                           .def_property_readonly("_dtype", &Tensor::Dtype, R"mydelimiter(
                              Get the tensor's data type.
 
                              Returns:
@@ -279,7 +279,7 @@ REGISTER_PYBIND_DEFINE(Tensor, ([](const py::module *m) {
                                  >>> data.dtype
                                  Int32
                              )mydelimiter")
-                           .def_property_readonly("shape", TensorPy::GetPyTupleShape, R"mydelimiter(
+                           .def_property_readonly("_shape", TensorPy::GetPyTupleShape, R"mydelimiter(
                              Get the tensor's shape.
 
                              Returns:

mindspore/common/tensor.py

@@ -208,13 +208,41 @@ class Tensor(Tensor_):
             return "Unknown Tensor type!"
         return str(self.asnumpy())
 
+    @property
+    def shape(self):
+        """The shape of tensor."""
+        return self._shape
+
+    @property
+    def dtype(self):
+        """The dtype of tensor."""
+        return self._dtype
+
+    @property
+    def virtual_flag(self):
+        """Mark tensor is virtual."""
+        return self._virtual_flag
+
+    @virtual_flag.setter
+    def virtual_flag(self, value):
+        """The setter of virtual_flag."""
+        if not isinstance(value, bool):
+            raise TypeError("virtual_flag must be bool.")
+        self._virtual_flag = value
+
+    def asnumpy(self):
+        """Convert tensor to numpy array."""
+        return Tensor_.asnumpy(self)
+
     def all(self, axis=(), keep_dims=False):
         """
         Check all array elements along a given axis evaluate to True.
 
         Args:
             axis (Union[None, int, tuple(int)): Dimensions of reduction.
+                Default: (), reduce all dimensions.
             keep_dims (bool): Whether to keep the reduced dimensions.
+                Default : False, don't keep these reduced dimensions.
 
         Returns:
             Tensor, has the same data type as x.
@@ -228,7 +256,9 @@ class Tensor(Tensor_):
 
         Args:
             axis (Union[None, int, tuple(int)): Dimensions of reduction.
+                Default: (), reduce all dimensions.
             keep_dims (bool): Whether to keep the reduced dimensions.
+                Default : False, don't keep these reduced dimensions.
 
         Returns:
             Tensor, has the same data type as x.
@@ -236,18 +266,6 @@ class Tensor(Tensor_):
 
         return tensor_operator_registry.get('any')(keep_dims)(self, axis)
 
-    @property
-    def virtual_flag(self):
-        """Mark tensor is virtual."""
-        return self._virtual_flag
-
-    @virtual_flag.setter
-    def virtual_flag(self, value):
-        """The setter of virtual_flag."""
-        if not isinstance(value, bool):
-            raise TypeError("virtual_flag must be bool.")
-        self._virtual_flag = value
-
 
 class IndexedSlices:
     """