text: /**
   * Copyright 2021 Huawei Technologies Co., Ltd
   *
   * Licensed under the Apache License, Version 2.0 (the "License");
   * you may not use this file except in compliance with the License.
   * You may obtain a copy of the License at
   *
   * http://www.apache.org/licenses/LICENSE-2.0
   *
   * Unless required by applicable law or agreed to in writing, software
   * distributed under the License is distributed on an "AS IS" BASIS,
   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   * See the License for the specific language governing permissions and
   * limitations under the License.
   */
  
  #include "ops/matrix_inverse.h"
  #include <set>
  
  #include "ops/op_utils.h"
  #include "utils/tensor_construct_utils.h"
  #include "abstract/primitive_infer_map.h"
  
  namespace mindspore {
  namespace ops {
  namespace {
  abstract::ShapePtr InferShape(const PrimitivePtr &primitive, const std::vector<AbstractBasePtr> &input_args) {
    auto prim_name = primitive->name();
    auto x_shape = CheckAndConvertUtils::ConvertShapePtrToShapeMap(input_args[0]->BuildShape())[kShape];
    auto x_rank = SizeToLong(x_shape.size());
    const constexpr int64_t kNumber1 = 1;
    const constexpr int64_t kNumber2 = 2;
    CheckAndConvertUtils::CheckInteger("x rank", x_rank, kGreaterEqual, kNumber2, prim_name);
    CheckAndConvertUtils::Check("row size", x_shape[x_rank - kNumber1], kEqual, x_shape[x_rank - kNumber2], prim_name);
    CheckAndConvertUtils::CheckInteger("row size", x_shape[x_rank - kNumber1], kGreaterEqual, kNumber2, prim_name);
    CheckAndConvertUtils::CheckInteger("column size", x_shape[x_rank - kNumber2], kGreaterEqual, kNumber2, prim_name);
    return std::make_shared<abstract::Shape>(x_shape);
  }
  
  TypePtr InferType(const PrimitivePtr &prim, const std::vector<AbstractBasePtr> &input_args) {
    const std::set<TypePtr> valid_types = {kFloat32, kFloat64};
    auto infer_type = input_args[0]->BuildType();
    (void)CheckAndConvertUtils::CheckTensorTypeValid("x", infer_type, valid_types, prim->name());
    return infer_type;
  }
  }  // namespace
  
  AbstractBasePtr MatrixInverseInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive,
                                     const std::vector<AbstractBasePtr> &input_args) {
    MS_EXCEPTION_IF_NULL(primitive);
    const int64_t input_num = 1;
    CheckAndConvertUtils::CheckInputArgs(input_args, kEqual, input_num, primitive->name());
    auto infertype = InferType(primitive, input_args);
    auto infershape = InferShape(primitive, input_args);
    return abstract::MakeAbstract(infershape, infertype);
  }
  REGISTER_PRIMITIVE_EVAL_IMPL(MatrixInverse, prim::kPrimMatrixInverse, MatrixInverseInfer, nullptr, true);
  }  // namespace ops
  }  // namespace mindspore
  