fluent methods for missed ops (apache#8329)

docs/api/python/ndarray/ndarray.md

@@ -125,6 +125,7 @@ The `ndarray` package provides several classes:
 
     NDArray.T
     NDArray.reshape
+    NDArray.reshape_like
     NDArray.flatten
     NDArray.expand_dims
     NDArray.split
@@ -194,6 +195,7 @@ The `ndarray` package provides several classes:
     NDArray.topk
     NDArray.argmax
     NDArray.argmin
+    NDArray.argmax_channel
 ```
 
 ### Arithmetic operations
@@ -266,7 +268,22 @@ The `ndarray` package provides several classes:
 
     NDArray.sqrt
     NDArray.rsqrt
+    NDArray.cbrt
+    NDArray.rcbrt
     NDArray.square
+    NDArray.reciprocal
+```
+
+## Basic neural network functions
+
+```eval_rst
+.. autosummary::
+    :nosignatures:
+
+    NDArray.relu
+    NDArray.sigmoid
+    NDArray.softmax
+    NDArray.log_softmax
 ```
 
 ### In-place arithmetic operations
@@ -358,6 +375,7 @@ The `ndarray` package provides several classes:
 
     cast
     reshape
+    reshape_like
     flatten
     expand_dims
 ```
@@ -394,6 +412,7 @@ The `ndarray` package provides several classes:
 
     concat
     split
+    stack
 ```
 
 ### Indexing routines
@@ -514,11 +533,13 @@ The `ndarray` package provides several classes:
     power
     sqrt
     rsqrt
+    cbrt
+    rcbrt
     square
     reciprocal
 ```
 
-### Logic functions
+### Comparison
 
 ```eval_rst
 .. autosummary::
@@ -559,6 +580,18 @@ The `ndarray` package provides several classes:
     argsort
     argmax
     argmin
+    argmax_channel
+```
+
+### Sequence operation
+
+```eval_rst
+.. autosummary::
+    :nosignatures:
+
+    SequenceLast
+    SequenceMask
+    SequenceReverse
 ```
 
 ### Miscellaneous
@@ -592,6 +625,8 @@ The `ndarray` package provides several classes:
     SoftmaxOutput
     softmax
     log_softmax
+    relu
+    sigmoid
 ```
 
 ### More

docs/api/python/symbol/symbol.md

@@ -143,9 +143,23 @@ Composite multiple symbols into a new one by an operator.
 
     Symbol.sqrt
     Symbol.rsqrt
+    Symbol.cbrt
+    Symbol.rcbrt
     Symbol.square
 ```
 
+## Basic neural network functions
+
+```eval_rst
+.. autosummary::
+    :nosignatures:
+
+    Symbol.relu
+    Symbol.sigmoid
+    Symbol.softmax
+    Symbol.log_softmax
+```
+
 #### Comparison operators
 
 ```eval_rst
@@ -178,6 +192,7 @@ Composite multiple symbols into a new one by an operator.
 
     Symbol.astype
     Symbol.reshape
+    Symbol.reshape_like
     Symbol.flatten
     Symbol.expand_dims
 ```
@@ -246,6 +261,7 @@ Composite multiple symbols into a new one by an operator.
     Symbol.topk
     Symbol.argmax
     Symbol.argmin
+    Symbol.argmax_channel
 ```
 
 ### Query information
@@ -355,6 +371,7 @@ Composite multiple symbols into a new one by an operator.
 
     cast
     reshape
+    reshape_like
     flatten
     expand_dims
 ```
@@ -391,6 +408,7 @@ Composite multiple symbols into a new one by an operator.
 
     concat
     split
+    stack
 ```
 
 ### Indexing routines
@@ -424,7 +442,6 @@ Composite multiple symbols into a new one by an operator.
     broadcast_div
     broadcast_mod
     negative
-    reciprocal
     dot
     batch_dot
     add_n
@@ -492,7 +509,6 @@ Composite multiple symbols into a new one by an operator.
     trunc
 ```
 
-
 ### Exponents and logarithms
 
 ```eval_rst
@@ -519,9 +535,10 @@ Composite multiple symbols into a new one by an operator.
     cbrt
     rcbrt
     square
+    reciprocal
 ```
 
-### Logic functions
+### Comparison
 
 ```eval_rst
 .. autosummary::
@@ -534,6 +551,7 @@ Composite multiple symbols into a new one by an operator.
     broadcast_lesser
     broadcast_lesser_equal
 ```
+
 ### Random sampling
 
 ```eval_rst
@@ -561,6 +579,18 @@ Composite multiple symbols into a new one by an operator.
     argsort
     argmax
     argmin
+    argmax_channel
+```
+
+### Sequence operation
+
+```eval_rst
+.. autosummary::
+    :nosignatures:
+
+    SequenceLast
+    SequenceMask
+    SequenceReverse
 ```
 
 ### Miscellaneous
@@ -596,6 +626,8 @@ Composite multiple symbols into a new one by an operator.
     SoftmaxOutput
     softmax
     log_softmax
+    relu
+    sigmoid
 ```
 
 ### More

python/mxnet/ndarray/ndarray.py

@@ -736,6 +736,14 @@ def reshape(self, shape):
                                          ctypes.byref(handle)))
         return NDArray(handle=handle, writable=self.writable)
 
+    def reshape_like(self, *args, **kwargs):
+        """Convenience fluent method for :py:func:`reshape_like`.
+
+        The arguments are the same as for :py:func:`reshape_like`, with
+        this array as data.
+        """
+        return op.reshape_like(self, *args, **kwargs)
+
     def zeros_like(self, *args, **kwargs):
         """Convenience fluent method for :py:func:`zeros_like`.
 
@@ -864,6 +872,14 @@ def argmax(self, *args, **kwargs):
         """
         return op.argmax(self, *args, **kwargs)
 
+    def argmax_channel(self, *args, **kwargs):
+        """Convenience fluent method for :py:func:`argmax_channel`.
+
+        The arguments are the same as for :py:func:`argmax_channel`, with
+        this array as data.
+        """
+        return op.argmax_channel(self, *args, **kwargs)
+
     def argmin(self, *args, **kwargs):
         """Convenience fluent method for :py:func:`argmin`.
 
@@ -1224,6 +1240,22 @@ def rsqrt(self, *args, **kwargs):
         """
         return op.rsqrt(self, *args, **kwargs)
 
+    def cbrt(self, *args, **kwargs):
+        """Convenience fluent method for :py:func:`cbrt`.
+
+        The arguments are the same as for :py:func:`cbrt`, with
+        this array as data.
+        """
+        return op.cbrt(self, *args, **kwargs)
+
+    def rcbrt(self, *args, **kwargs):
+        """Convenience fluent method for :py:func:`rcbrt`.
+
+        The arguments are the same as for :py:func:`rcbrt`, with
+        this array as data.
+        """
+        return op.rcbrt(self, *args, **kwargs)
+
     def square(self, *args, **kwargs):
         """Convenience fluent method for :py:func:`square`.
 
@@ -1232,6 +1264,46 @@ def square(self, *args, **kwargs):
         """
         return op.square(self, *args, **kwargs)
 
+    def reciprocal(self, *args, **kwargs):
+        """Convenience fluent method for :py:func:`reciprocal`.
+
+        The arguments are the same as for :py:func:`reciprocal`, with
+        this array as data.
+        """
+        return op.reciprocal(self, *args, **kwargs)
+
+    def relu(self, *args, **kwargs):
+        """Convenience fluent method for :py:func:`relu`.
+
+        The arguments are the same as for :py:func:`relu`, with
+        this array as data.
+        """
+        return op.relu(self, *args, **kwargs)
+
+    def sigmoid(self, *args, **kwargs):
+        """Convenience fluent method for :py:func:`sigmoid`.
+
+        The arguments are the same as for :py:func:`sigmoid`, with
+        this array as data.
+        """
+        return op.sigmoid(self, *args, **kwargs)
+
+    def softmax(self, *args, **kwargs):
+        """Convenience fluent method for :py:func:`softmax`.
+
+        The arguments are the same as for :py:func:`softmax`, with
+        this array as data.
+        """
+        return op.softmax(self, *args, **kwargs)
+
+    def log_softmax(self, *args, **kwargs):
+        """Convenience fluent method for :py:func:`log_softmax`.
+
+        The arguments are the same as for :py:func:`log_softmax`, with
+        this array as data.
+        """
+        return op.log_softmax(self, *args, **kwargs)
+
     # pylint: disable= undefined-variable
     def broadcast_to(self, shape):
         """Broadcasts the input array to a new shape.