!1060 Fix bug of assigning value to non-Parameter class member

Merge pull request !1060 from fary86/fix_assign_target_not_parameter
This commit is contained in:
mindspore-ci-bot 2020-05-12 09:20:08 +08:00 committed by Gitee
commit 05e8b8028b
2 changed files with 23 additions and 2 deletions

View File

@ -1136,10 +1136,31 @@ void Parser::HandleAssignClassMember(const FunctionBlockPtr &block, const py::ob
AnfNodePtr target_node = ParseExprNode(block, targ);
MS_EXCEPTION_IF_NULL(target_node);
std::string attr_name = targ.attr("attr").cast<std::string>();
std::string var_name = "self.";
(void)var_name.append(targ.attr("attr").cast<std::string>());
(void)var_name.append(attr_name);
MS_LOG(DEBUG) << "assign " << var_name;
// Get targ location info for error printing
py::list location = ast_->CallParserObjMethod(PYTHON_PARSE_GET_LOCATION, targ);
if (location.size() < 2) {
MS_LOG(EXCEPTION) << "List size should not be less than 2.";
}
auto filename = location[0].cast<std::string>();
auto line_no = location[1].cast<int>();
// Now only support the self.xxx = yyy, where self.xxx must be a defined Parameter type
if (!py::hasattr(ast()->obj(), attr_name.c_str())) {
MS_EXCEPTION(TypeError) << "'" << var_name << "' should be a Parameter, but not defined, at " << filename << ":"
<< line_no;
}
auto obj = ast()->obj().attr(attr_name.c_str());
auto obj_type = obj.attr("__class__").attr("__name__");
if (!py::hasattr(obj, "__parameter__")) {
MS_EXCEPTION(TypeError) << "'" << var_name << "' should be a Parameter, but got '"
<< py::str(obj).cast<std::string>() << "' with type '"
<< py::str(obj_type).cast<std::string>() << "' at " << filename << ":" << line_no;
}
MS_EXCEPTION_IF_NULL(block);
block->WriteVariable(var_name, assigned_node);
MS_LOG(DEBUG) << "SetState write " << var_name << " : " << target_node->ToString();

View File

@ -124,9 +124,9 @@ def test_cell_assign():
class Mul(nn.Cell):
def __init__(self):
super(Mul, self).__init__()
self.get_g = P.InsertGradientOf(self.save_gradient)
self.matrix_w = mindspore.Parameter(Tensor(np.ones([2, 2], np.float32)), name="matrix_w")
self.matrix_g = mindspore.Parameter(Tensor(np.ones([2, 2], np.float32)), name="matrix_g")
self.get_g = P.InsertGradientOf(self.save_gradient)
def save_gradient(self, dout):
self.matrix_g = dout + self.matrix_g