1 /** 2 * Copyright 2020 Huawei Technologies Co., Ltd 3 * 4 * Licensed under the Apache License, Version 2.0 (the "License"); 5 * you may not use this file except in compliance with the License. 6 * You may obtain a copy of the License at 7 * 8 * http://www.apache.org/licenses/LICENSE-2.0 9 * 10 * Unless required by applicable law or agreed to in writing, software 11 * distributed under the License is distributed on an "AS IS" BASIS, 12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 * See the License for the specific language governing permissions and 14 * limitations under the License. 15 */ 16 #include "common/common.h" 17 #include "minddata/dataset/kernels/data/fill_op.h" 18 #include "utils/log_adapter.h" 19 20 using namespace mindspore::dataset; 21 using mindspore::LogStream; 22 using mindspore::ExceptionType::NoExceptionType; 23 using mindspore::MsLogLevel::INFO; 24 25 class MindDataTestFillOp : public UT::Common { 26 protected: 27 MindDataTestFillOp() {} 28 }; 29 30 TEST_F(MindDataTestFillOp, TestOp) { 31 MS_LOG(INFO) << "Doing MindDataTestFillOp-TestOp."; 32 std::vector<uint64_t> labels = {1, 1, 2}; 33 std::shared_ptr<Tensor> input; 34 Tensor::CreateFromVector(labels, &input); 35 36 std::shared_ptr<Tensor> fill_tensor; 37 Tensor::CreateScalar<uint64_t>(4, &fill_tensor); 38 39 std::shared_ptr<Tensor> output; 40 std::unique_ptr<FillOp> op(new FillOp(fill_tensor)); 41 Status s = op->Compute(input, &output); 42 43 std::vector<uint64_t> out = {4, 4, 4}; 44 std::shared_ptr<Tensor> expected; 45 Tensor::CreateFromVector(out, &expected); 46 47 EXPECT_TRUE(s.IsOk()); 48 ASSERT_TRUE(output->shape() == expected->shape()); 49 ASSERT_TRUE(output->type() == expected->type()); 50 MS_LOG(DEBUG) << *output << std::endl; 51 MS_LOG(DEBUG) << *expected << std::endl; 52 53 ASSERT_TRUE(*output == *expected); 54 MS_LOG(INFO) << "MindDataTestFillOp-TestOp end."; 55 } 56 57 TEST_F(MindDataTestFillOp, TestCasting) { 58 MS_LOG(INFO) << "Doing MindDataTestFillOp-TestCasting."; 59 std::vector<uint64_t> labels = {0, 1, 2}; 60 std::shared_ptr<Tensor> input; 61 Tensor::CreateFromVector(labels, &input); 62 63 std::shared_ptr<Tensor> fill_tensor; 64 Tensor::CreateScalar<float>(2.0, &fill_tensor); 65 66 std::shared_ptr<Tensor> output; 67 std::unique_ptr<FillOp> op(new FillOp(fill_tensor)); 68 Status s = op->Compute(input, &output); 69 70 std::vector<uint64_t> out = {2, 2, 2}; 71 std::shared_ptr<Tensor> expected; 72 Tensor::CreateFromVector(out, &expected); 73 74 ASSERT_TRUE(output->shape() == expected->shape()); 75 ASSERT_TRUE(output->type() == expected->type()); 76 77 EXPECT_TRUE(s.IsOk()); 78 MS_LOG(DEBUG) << *output << std::endl; 79 MS_LOG(DEBUG) << *expected << std::endl; 80 ASSERT_TRUE(*output == *expected); 81 82 MS_LOG(INFO) << "MindDataTestFillOp-TestCasting end."; 83 } 84 85 TEST_F(MindDataTestFillOp, ScalarFill) { 86 MS_LOG(INFO) << "Doing MindDataTestFillOp-ScalarFill."; 87 std::vector<uint64_t> labels = {0, 1, 2}; 88 std::shared_ptr<Tensor> input; 89 Tensor::CreateFromVector(labels, &input); 90 91 TensorShape fill_shape({2}); 92 std::vector<uint64_t> fill_labels = {0, 1}; 93 std::shared_ptr<Tensor> fill_tensor; 94 Tensor::CreateFromVector(fill_labels, &fill_tensor); 95 96 std::shared_ptr<Tensor> output; 97 std::unique_ptr<FillOp> op(new FillOp(fill_tensor)); 98 Status s = op->Compute(input, &output); 99 100 EXPECT_TRUE(s.IsError()); 101 ASSERT_TRUE(s.StatusCode() == StatusCode::kMDUnexpectedError); 102 103 MS_LOG(INFO) << "MindDataTestFillOp-ScalarFill end."; 104 } 105 106 TEST_F(MindDataTestFillOp, StringFill) { 107 MS_LOG(INFO) << "Doing MindDataTestFillOp-StringFill."; 108 std::vector<std::string> strings = {"xyzzy", "plugh", "abracadabra"}; 109 std::shared_ptr<Tensor> input; 110 Tensor::CreateFromVector(strings, &input); 111 112 std::shared_ptr<Tensor> fill_tensor; 113 Tensor::CreateScalar<std::string>("hello", &fill_tensor); 114 115 std::shared_ptr<Tensor> output; 116 117 std::unique_ptr<FillOp> op(new FillOp(fill_tensor)); 118 Status s = op->Compute(input, &output); 119 120 std::vector<std::string> expected_strings = {"hello", "hello", "hello"}; 121 std::shared_ptr<Tensor> expected; 122 Tensor::CreateFromVector(expected_strings, &expected); 123 124 EXPECT_TRUE(s.IsOk()); 125 ASSERT_TRUE(output->shape() == expected->shape()); 126 ASSERT_TRUE(output->type() == expected->type()); 127 MS_LOG(DEBUG) << *output << std::endl; 128 MS_LOG(DEBUG) << *expected << std::endl; 129 130 ASSERT_TRUE(*output == *expected); 131 132 MS_LOG(INFO) << "MindDataTestFillOp-StringFill end."; 133 } 134 135 TEST_F(MindDataTestFillOp, NumericToString) { 136 MS_LOG(INFO) << "Doing MindDataTestFillOp-NumericToString."; 137 std::vector<std::string> strings = {"xyzzy", "plugh", "abracadabra"}; 138 std::shared_ptr<Tensor> input; 139 Tensor::CreateFromVector(strings, &input); 140 141 std::shared_ptr<Tensor> fill_tensor; 142 Tensor::CreateScalar<float>(2.0, &fill_tensor); 143 144 std::shared_ptr<Tensor> output; 145 146 std::unique_ptr<FillOp> op(new FillOp(fill_tensor)); 147 Status s = op->Compute(input, &output); 148 149 EXPECT_TRUE(s.IsError()); 150 ASSERT_TRUE(s.StatusCode() == StatusCode::kMDUnexpectedError); 151 152 MS_LOG(INFO) << "MindDataTestFillOp-NumericToString end."; 153 } 154 155 TEST_F(MindDataTestFillOp, StringToNumeric) { 156 MS_LOG(INFO) << "Doing MindDataTestFillOp-StringToNumeric."; 157 std::vector<uint64_t> labels = {0, 1, 2}; 158 std::shared_ptr<Tensor> input; 159 Tensor::CreateFromVector(labels, &input); 160 161 std::shared_ptr<Tensor> fill_tensor; 162 Tensor::CreateScalar<std::string>("hello", &fill_tensor); 163 164 std::shared_ptr<Tensor> output; 165 166 std::unique_ptr<FillOp> op(new FillOp(fill_tensor)); 167 Status s = op->Compute(input, &output); 168 169 EXPECT_TRUE(s.IsError()); 170 ASSERT_TRUE(s.StatusCode() == StatusCode::kMDUnexpectedError); 171 172 MS_LOG(INFO) << "MindDataTestFillOp-StringToNumeric end."; 173 }