virtual Status SetAttrBool(const char* attr_name, bool value) = 0;
  virtual Status SetAttrType(const char* attr_name, DataType value) = 0;
  virtual Status SetAttrShape(const char* attr_name, const int64_t* dims,
                              const int num_dims) = 0;
  virtual Status SetAttrShape(const char* attr_name,
                              const PartialTensorShape shape);
  virtual Status SetAttrFunction(const char* attr_name,

  Status SetAttrFloat(const char* attr_name, float value) override;
  Status SetAttrBool(const char* attr_name, bool value) override;
  Status SetAttrType(const char* attr_name, DataType value) override;
  Status SetAttrShape(const char* attr_name, const int64_t* dims,
                      const int num_dims) override;
  Status SetAttrFunction(const char* attr_name,
                         const AbstractOperation* value) override;

}
Status TapeOperation::SetAttrType(const char* attr_name, DataType value) {
  forward_op_.attrs.Set(attr_name, value);
  return parent_op_->SetAttrType(attr_name, value);
}
Status TapeOperation::SetAttrShape(const char* attr_name, const int64_t* dims,
                                   const int num_dims) {
  if (num_dims > TensorShape::MaxDimensions()) {
    return errors::InvalidArgument("Value specified for `", attr_name, "` has ",

                   ForwardOperation*);
Status SetAttrType(AbstractOperation*, const char* attr_name, DataType value,
                   ForwardOperation*);
Status SetAttrShape(AbstractOperation*, const char* attr_name,
                    const int64_t* dims, const int num_dims, ForwardOperation*);
Status SetAttrFunction(AbstractOperation*, const char* attr_name,

          "op_type and op_name must be specified before specifying attrs.");
    }
    op_->node_builder.Attr(attr_name, value);
    return absl::OkStatus();
  }
  Status SetAttrShape(const char* attr_name, const int64_t* dims,
                      const int num_dims) override {
    PartialTensorShape shape;
    if (num_dims >= 0) {
      shape = PartialTensorShape(ArraySlice<int64_t>(

                   DataType value, ForwardOperation* forward_op_) {
  forward_op_->attrs.Set(attr_name, value);
  return op_->SetAttrType(attr_name, value);
}
Status SetAttrShape(AbstractOperation* op_, const char* attr_name,
                    const int64_t* dims, const int num_dims,
                    ForwardOperation* forward_op_) {
  if (num_dims > TensorShape::MaxDimensions()) {

                       TF_Operation** op) {
  TF_OperationDescription* desc = TF_NewOperation(graph, "Placeholder", name);
  TF_SetAttrType(desc, "dtype", dtype);
  if (!dims.empty()) {
    TF_SetAttrShape(desc, "shape", dims.data(), dims.size());
  }
  *op = TF_FinishOperation(desc, s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
  ASSERT_NE(*op, nullptr);
}

  }
}

void TFE_OpSetAttrShape(TFE_Op* op, const char* attr_name, const int64_t* dims,
                        const int num_dims, TF_Status* out_status) {
  out_status->status =
      tensorflow::unwrap(op)->SetAttrShape(attr_name, dims, num_dims);
}

void TFE_OpSetAttrFunction(TFE_Op* op, const char* attr_name,
                           const TFE_Op* value) {
  auto s = tensorflow::unwrap(op)->SetAttrFunction(

  EXPECT_TRUE(std::equal(std::begin(list), std::end(list), std::begin(values)));
}

TEST_F(CApiAttributesTest, Shape) {
  // Unknown shape
  auto desc = init("shape");
  TF_SetAttrShape(desc, "v", nullptr, -1);
  auto oper = TF_FinishOperation(desc, s_);
  ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
  EXPECT_TF_META("v", -1, TF_ATTR_SHAPE, -1);

// Set `num_dims` to -1 to represent "unknown rank".  Otherwise,
// `dims` points to an array of length `num_dims`.  `dims[i]` must be
// >= -1, with -1 meaning "unknown dimension".
TF_CAPI_EXPORT extern void TF_SetAttrShape(TF_OperationDescription* desc,
                                           const char* attr_name,
                                           const int64_t* dims, int num_dims);