forked from mindspore-Ecosystem/mindspore
!1060 Fix bug of assigning value to non-Parameter class member
Merge pull request !1060 from fary86/fix_assign_target_not_parameter
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commit
05e8b8028b
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@ -1136,10 +1136,31 @@ void Parser::HandleAssignClassMember(const FunctionBlockPtr &block, const py::ob
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AnfNodePtr target_node = ParseExprNode(block, targ);
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MS_EXCEPTION_IF_NULL(target_node);
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std::string attr_name = targ.attr("attr").cast<std::string>();
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std::string var_name = "self.";
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(void)var_name.append(targ.attr("attr").cast<std::string>());
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(void)var_name.append(attr_name);
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MS_LOG(DEBUG) << "assign " << var_name;
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// Get targ location info for error printing
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py::list location = ast_->CallParserObjMethod(PYTHON_PARSE_GET_LOCATION, targ);
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if (location.size() < 2) {
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MS_LOG(EXCEPTION) << "List size should not be less than 2.";
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}
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auto filename = location[0].cast<std::string>();
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auto line_no = location[1].cast<int>();
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// Now only support the self.xxx = yyy, where self.xxx must be a defined Parameter type
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if (!py::hasattr(ast()->obj(), attr_name.c_str())) {
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MS_EXCEPTION(TypeError) << "'" << var_name << "' should be a Parameter, but not defined, at " << filename << ":"
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<< line_no;
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}
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auto obj = ast()->obj().attr(attr_name.c_str());
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auto obj_type = obj.attr("__class__").attr("__name__");
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if (!py::hasattr(obj, "__parameter__")) {
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MS_EXCEPTION(TypeError) << "'" << var_name << "' should be a Parameter, but got '"
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<< py::str(obj).cast<std::string>() << "' with type '"
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<< py::str(obj_type).cast<std::string>() << "' at " << filename << ":" << line_no;
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}
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MS_EXCEPTION_IF_NULL(block);
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block->WriteVariable(var_name, assigned_node);
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MS_LOG(DEBUG) << "SetState write " << var_name << " : " << target_node->ToString();
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@ -124,9 +124,9 @@ def test_cell_assign():
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class Mul(nn.Cell):
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def __init__(self):
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super(Mul, self).__init__()
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self.get_g = P.InsertGradientOf(self.save_gradient)
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self.matrix_w = mindspore.Parameter(Tensor(np.ones([2, 2], np.float32)), name="matrix_w")
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self.matrix_g = mindspore.Parameter(Tensor(np.ones([2, 2], np.float32)), name="matrix_g")
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self.get_g = P.InsertGradientOf(self.save_gradient)
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def save_gradient(self, dout):
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self.matrix_g = dout + self.matrix_g
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