forked from mindspore-Ecosystem/mindspore
64 lines
2.3 KiB
C++
64 lines
2.3 KiB
C++
/**
|
|
* Copyright 2020 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 <vector>
|
|
#include <memory>
|
|
#include "common/common_test.h"
|
|
#include "ops/equal.h"
|
|
#include "ir/dtype/type.h"
|
|
#include "ir/value.h"
|
|
#include "abstract/dshape.h"
|
|
#include "utils/tensor_construct_utils.h"
|
|
|
|
namespace mindspore {
|
|
namespace ops {
|
|
class TestEqual : public UT::Common {
|
|
public:
|
|
TestEqual() {}
|
|
void SetUp() {}
|
|
void TearDown() {}
|
|
};
|
|
|
|
TEST_F(TestEqual, test_ops_equal1) {
|
|
auto equal = std::make_shared<Equal>();
|
|
auto tensor_x1 = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{3, 2, 7, 7});
|
|
auto tensor_x2 = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{3, 2, 7, 7});
|
|
MS_EXCEPTION_IF_NULL(tensor_x1);
|
|
MS_EXCEPTION_IF_NULL(tensor_x2);
|
|
auto abstract = equal->Infer({tensor_x1->ToAbstract(), tensor_x2->ToAbstract()});
|
|
MS_EXCEPTION_IF_NULL(abstract);
|
|
EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true);
|
|
auto shape_ptr = abstract->BuildShape();
|
|
MS_EXCEPTION_IF_NULL(shape_ptr);
|
|
EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true);
|
|
auto shape = shape_ptr->cast<abstract::ShapePtr>();
|
|
MS_EXCEPTION_IF_NULL(shape);
|
|
auto shape_vec = shape->shape();
|
|
auto type = abstract->BuildType();
|
|
MS_EXCEPTION_IF_NULL(type);
|
|
EXPECT_EQ(type->isa<TensorType>(), true);
|
|
auto tensor_type = type->cast<TensorTypePtr>();
|
|
MS_EXCEPTION_IF_NULL(tensor_type);
|
|
auto data_type = tensor_type->element();
|
|
MS_EXCEPTION_IF_NULL(data_type);
|
|
EXPECT_EQ(data_type->type_id(), kNumberTypeFloat32);
|
|
EXPECT_EQ(shape_vec.size(), 4);
|
|
EXPECT_EQ(shape_vec[0], 3);
|
|
EXPECT_EQ(shape_vec[1], 2);
|
|
EXPECT_EQ(shape_vec[2], 7);
|
|
EXPECT_EQ(shape_vec[3], 7);
|
|
}
|
|
} // namespace ops
|
|
} // namespace mindspore
|