support python func print and != for list with none

mindspore/_extends/parse/resources.py

@@ -114,6 +114,7 @@ convert_object_map = {
     T.map:          C.HyperMap(),
     T.partial:      F.partial,
     T.zip:          C.zip_operation,
+    T.print:        F.print_,
 
     # custom define operation
     T.iter:         M.ms_iter,

mindspore/_extends/parse/trope.py

@@ -27,7 +27,7 @@ from operator import (  # noqa
 
 # support system function call
 from builtins import (  # noqa
-    bool, getattr, setattr, len, iter, next, pow, range, map, zip
+    bool, getattr, setattr, len, iter, next, pow, range, map, zip, print
 )
 
 # support functools
@@ -44,7 +44,7 @@ __all__ = ['add', 'sub', 'mul', 'truediv', 'floordiv', 'mod', 'eq', 'ne', 'lt',
            'not_', 'and_', 'or_', 'xor', 'lshift', 'rshift', 'invert', 'is_', 'is_not', 'contains',
            'matmul', 'getitem', 'setitem',
            'bool', 'getattr', 'setattr', 'len', 'iter', 'next', 'pow', 'range', 'map', 'zip',
-           'partial',
+           'partial', 'print',
            'exp', 'log', 'sin', 'cos', 'tan']
 
 

mindspore/ops/composite/multitype_ops/not_equal_impl.py

@@ -132,7 +132,7 @@ def _none_not_equal_scalar(x, y):
 
 
 @not_equal.register("Tuple", "Tuple")
-def _euqal_tuple(x, y):
+def _not_euqal_tuple(x, y):
     """
     Determine if two tuples are not equal by element.
 
@@ -147,7 +147,7 @@ def _euqal_tuple(x, y):
 
 
 @not_equal.register("List", "List")
-def _euqal_list(x, y):
+def _not_euqal_list(x, y):
     """
     Determine if two lists are not equal by element.
 
@@ -162,7 +162,7 @@ def _euqal_list(x, y):
 
 
 @not_equal.register("Tuple", "None")
-def _tuple_euqal_none(x, y):
+def _tuple_not_euqal_none(x, y):
     """
     Determine if tuple element not equals none element.
 
@@ -190,6 +190,7 @@ def _none_not_equal_tuple(x, y):
    """
     return True
 
+
 @not_equal.register("Tensor", "Number")
 @not_equal.register("Number", "Tensor")
 @not_equal.register("Tensor", "Tensor")
@@ -235,3 +236,33 @@ def _none_not_equal_tensor(x, y):
        bool, return True.
    """
     return True
+
+
+@not_equal.register("List", "None")
+def _list_not_equal_none(x, y):
+    """
+    Determine if list not equal none.
+
+    Args:
+       x (list): The first input which is a list.
+       y (none): The second input which is none.
+
+    Returns:
+       bool, return true.
+   """
+    return True
+
+
+@not_equal.register("None", "List")
+def _none_not_equal_list(x, y):
+    """
+    Determine if none not equal list.
+
+    Args:
+       x (none): The first input which is none.
+       y (list): The second input which is a list.
+
+    Returns:
+       bool, return true.
+   """
+    return True

mindspore/ops/functional.py

@@ -66,7 +66,7 @@ scalar_to_array = P.ScalarToArray()
 scalar_to_tensor = P.ScalarToTensor()
 tuple_to_array = P.TupleToArray()
 scalar_cast = P.ScalarCast()
-
+print_ = P.Print()
 
 tuple_setitem = Primitive('tuple_setitem')
 tuple_getitem = Primitive('tuple_getitem')

mindspore/ops/operations/_grad_ops.py

@@ -108,6 +108,7 @@ class BinaryCrossEntropyGrad(PrimitiveWithInfer):
             validator.check_two_types_same('x_type', x_type, 'weight_type', weight_type)
         return x_type
 
+
 class ConcatOffset(PrimitiveWithInfer):
     """primitive for computing Concat's gradient."""
 

tests/ut/python/pipeline/parse/test_operator.py

@@ -160,8 +160,10 @@ def test_ops():
             ret_floor = p // q + q // p
             ret = ret_pow + ret_mod + ret_floor
             if self.int > self.float:
-                if self.str_a + self.str_b == "helloworld":
+                if [1, 2, 3] != None:
-                    return ret
+                    if self.str_a + self.str_b == "helloworld":
+                        print("hello world")
+                        return ret
             return x
 
     net = OpsNet(9, 2)

tests/vm_impl/nn_ops_vm_impl.py

@@ -151,8 +151,6 @@ def vm_impl_max_pool_grad_with_argmax(self):
     """Generate vm_impl function for MaxPoolGradWithArgmax"""
 
     def vm_impl(x, dout, argmax):
-        print("buxue")
-        print(argmax)
         x = x.asnumpy()
         dout = dout.asnumpy()
         arg_max = argmax.asnumpy()