回退 'Pull Request !12038 : Frontend operator attribute modification'

mindspore/ops/operations/array_ops.py

@@ -2167,6 +2167,7 @@ class Concat(PrimitiveWithInfer):
         x_shp = input_x['shape']
         x_type = input_x['dtype']
         _, all_shp, _ = get_concat_offset(x_shp, x_type, axis, self.name)
+        self.add_prim_attr('T', x_type[0].element_type())
         self.add_prim_attr('inputNums', len(x_shp))
         ret_shp = x_shp[0].copy()
         value = None
@@ -2615,6 +2616,7 @@ class Select(PrimitiveWithInfer):
         return x_shape
 
     def infer_dtype(self, cond_type, x_type, y_type):
+        self.add_prim_attr('T', x_type)
         validator.check_subclass("x_type", x_type, mstype.tensor, self.name)
         validator.check_subclass("y_type", y_type, mstype.tensor, self.name)
         validator.check_tensor_dtype_valid("cond", cond_type, [mstype.bool_], self.name)

mindspore/ops/operations/math_ops.py

@@ -313,6 +313,7 @@ class _Reduce(PrimitiveWithInfer):
         """Initialize Reduce"""
         validator.check_value_type('keep_dims', keep_dims, [bool], self.name)
         self.init_prim_io_names(inputs=['input_x', 'axis'], outputs=['y'])
+        self.add_prim_attr("io_format", "ND")
 
     def __call__(self, x, axis=()):
         args = [x, axis]
@@ -752,6 +753,7 @@ class MatMul(PrimitiveWithCheck):
         cls_name = self.name
         validator.check_value_type("transpose_a", transpose_a, [bool], cls_name)
         validator.check_value_type("transpose_b", transpose_b, [bool], cls_name)
+        self.add_prim_attr("io_format", "ND")
 
     def check_shape_size(self, x1, x2):
         if len(x1) != 2 or len(x2) != 2:

mindspore/ops/operations/nn_ops.py

@@ -1457,6 +1457,7 @@ class Conv2D(PrimitiveWithCheck):
         self.out_channel = validator.check_positive_int(out_channel, 'out_channel', self.name)
         self.group = validator.check_positive_int(group, 'group', self.name)
         self.add_prim_attr('groups', self.group)
+        self.add_prim_attr('offset_a', 0)
 
     def check_shape(self, x_shape, w_shape, b_shape=None):
         x_shape_norm = x_shape if self.format == "NCHW" else (x_shape[0], x_shape[3], x_shape[1], x_shape[2])