move dynamic_shape_depend to backend

Signed-off-by: zhupuxu <zhupuxu@huawei.com>

mindspore/core/abstract/primitive_infer_map.cc

@@ -23,11 +23,17 @@
 namespace mindspore {
 namespace abstract {
 std::vector<int64_t> GetDependsFormMap(const CNodePtr &cnode) {
-  constexpr auto kUnsortedSegmentSum = "UnsortedSegmentSum";
-  constexpr auto kUnsortedSegmentMin = "UnsortedSegmentMin";
-  constexpr auto kUnsortedSegmentMax = "UnsortedSegmentMax";
+  const auto kUnsortedSegmentSum = prim::kPrimUnsortedSegmentSum->name();
+  const auto kUnsortedSegmentMin = prim::kPrimUnsortedSegmentMin->name();
+  const auto kUnsortedSegmentMax = prim::kPrimUnsortedSegmentMax->name();
+  const auto kGather = prim::kPrimGather->name();
+  const auto kGatherV2 = prim::kPrimGatherV2->name();
+  const auto kDynamicShape = prim::kPrimDynamicShape->name();
+  const auto kRange = prim::kPrimRange->name();
   static std::map<std::string, std::vector<int64_t>> dynamic_shape_depends = {
-    {kUnsortedSegmentSum, {2}}, {kUnsortedSegmentMin, {2}}, {kUnsortedSegmentMax, {2}}};
+    {kUnsortedSegmentSum, {2}}, {kUnsortedSegmentMin, {2}}, {kUnsortedSegmentMax, {2}}, {kGather, {2}},
+    {kGatherV2, {2}},           {kDynamicShape, {0}},       {kRange, {0, 1, 2}},
+  };
   MS_EXCEPTION_IF_NULL(cnode);
   if (cnode->inputs().empty()) {
     MS_LOG(EXCEPTION) << "Invalid inputs";

mindspore/ops/operations/array_ops.py

@@ -593,7 +593,6 @@ class DynamicShape(Primitive):
         """init Shape"""
         self.init_prim_io_names(inputs=['tensor'], outputs=['output'])
         self.add_prim_attr('is_dynamic_shape', True)
-        self.add_prim_attr("dynamic_shape_depends", [0])
 
 
 class Squeeze(PrimitiveWithInfer):
@@ -811,7 +810,6 @@ class Gather(PrimitiveWithCheck):
     def __init__(self):
         """Initialize index_select"""
         self.init_prim_io_names(inputs=['params', 'indices', 'axis'], outputs=['output'])
-        self.add_prim_attr("dynamic_shape_depends", [2])
 
     def __check__(self, params, indices, axis):
         validator.check_subclass("params", params['dtype'], mstype.tensor, self.name)
@@ -836,7 +834,6 @@ class GatherV2(PrimitiveWithCheck):
     def __init__(self):
         """Initialize index_select"""
         self.init_prim_io_names(inputs=['params', 'indices', 'axis'], outputs=['output'])
-        self.add_prim_attr("dynamic_shape_depends", [2])
 
     def __check__(self, params, indices, axis):
         validator.check_subclass("params", params['dtype'], mstype.tensor, self.name)
@@ -1987,7 +1984,6 @@ class UnsortedSegmentMin(PrimitiveWithCheck):
     def __init__(self):
         """Initialize UnsortedSegmentMin"""
         self.init_prim_io_names(inputs=['x', 'segment_ids', 'num_segments'], outputs=['y'])
-        self.add_prim_attr("dynamic_shape_depends", [2])
 
     def __check__(self, x, segment_ids, num_segments):
         x_shape = x['shape']
@@ -2043,7 +2039,6 @@ class UnsortedSegmentMax(PrimitiveWithCheck):
     def __init__(self):
         """Initialize UnsortedSegmentMax"""
         self.init_prim_io_names(inputs=['x', 'segment_ids', 'num_segments'], outputs=['y'])
-        self.add_prim_attr("dynamic_shape_depends", [2])
 
     def __check__(self, x, segment_ids, num_segments):
         x_shape = x['shape']
@@ -4980,10 +4975,6 @@ class Range(PrimitiveWithCheck):
         self.maxlen = maxlen
         self.add_prim_attr('maxlen', maxlen)
 
-        self.add_prim_attr("dynamic_shape_depends", [0])
-        self.add_prim_attr("dynamic_shape_depends", [1])
-        self.add_prim_attr("dynamic_shape_depends", [2])
-
     def check_shape(self, start_shape, limit_shape, delta_shape):
         validator.check("start_shape", len(start_shape), "", 0, Rel.EQ, self.name)
         validator.check("limit_shape", len(limit_shape), "", 0, Rel.EQ, self.name)