Modify Conv2D's attr offset_a

mindspore/ccsrc/backend/optimizer/ascend/mindir/conv2d_unify_mindir.cc

@@ -221,7 +221,6 @@ void SetConv2DAttrs(const CNodePtr &conv2d, const CNodePtr &depth_conv) {
   SetCommonAttrs(conv2d, depth_conv);
   AnfAlgo::CopyNodeAttr(kAttrInputNames, conv2d, depth_conv);
   AnfAlgo::CopyNodeAttr(kAttrStride, conv2d, depth_conv);
-  AnfAlgo::CopyNodeAttr(kAttrOffsetA, conv2d, depth_conv);
 }
 
 void SetConv2DBackpropInputAttrs(const CNodePtr &conv2d_backin, const CNodePtr &depth_conv_backin) {

mindspore/core/ops/conv2d.cc

@@ -121,7 +121,6 @@ TypePtr Conv2dInferType(const PrimitivePtr &prim, const std::vector<AbstractBase
 void Conv2D::Init(int64_t out_channel, const std::vector<int64_t> &kernel_size, int64_t mode, const PadMode &pad_mode,
                   const std::vector<int64_t> &pad, const std::vector<int64_t> &stride,
                   const std::vector<int64_t> &dilation, int64_t group, const Format &format) {
-  AddAttr(kOffsetA, MakeValue(static_cast<int64_t>(0)));
   set_kernel_size(kernel_size);
   set_stride(stride);
   set_dilation(dilation);

mindspore/ops/operations/nn_ops.py

@@ -1200,7 +1200,6 @@ class Conv2D(PrimitiveWithInfer):
         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 infer_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])