1 /**
2 * Copyright 2021-2023 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
17 #include "minddata/dataset/kernels/ir/vision/random_color_ir.h"
18
19 #include <vector>
20
21 #ifndef ENABLE_ANDROID
22 #include "minddata/dataset/kernels/image/random_color_op.h"
23 #endif
24 #include "minddata/dataset/util/validators.h"
25
26 namespace mindspore {
27 namespace dataset {
28 namespace vision {
29 #ifndef ENABLE_ANDROID
30 // RandomColorOperation.
RandomColorOperation(float t_lb,float t_ub)31 RandomColorOperation::RandomColorOperation(float t_lb, float t_ub) : t_lb_(t_lb), t_ub_(t_ub) { random_op_ = true; }
32
33 RandomColorOperation::~RandomColorOperation() = default;
34
Name() const35 std::string RandomColorOperation::Name() const { return kRandomColorOperation; }
36
ValidateParams()37 Status RandomColorOperation::ValidateParams() {
38 if (t_lb_ < 0.0 || t_ub_ < 0.0) {
39 std::string err_msg =
40 "RandomColor: lower bound or upper bound must be greater than or equal to 0, got 'degree'(t_lb): " +
41 std::to_string(t_lb_) + ", 'degree'(t_ub): " + std::to_string(t_ub_);
42 LOG_AND_RETURN_STATUS_SYNTAX_ERROR(err_msg);
43 }
44 if (t_lb_ > t_ub_) {
45 std::string err_msg =
46 "RandomColor: lower bound must be less or equal to upper bound, got 'degree'(t_lb): " + std::to_string(t_lb_) +
47 ", 'degree'(t_ub): " + std::to_string(t_ub_);
48 LOG_AND_RETURN_STATUS_SYNTAX_ERROR(err_msg);
49 }
50 return Status::OK();
51 }
52
Build()53 std::shared_ptr<TensorOp> RandomColorOperation::Build() {
54 std::shared_ptr<RandomColorOp> tensor_op = std::make_shared<RandomColorOp>(t_lb_, t_ub_);
55 return tensor_op;
56 }
57
to_json(nlohmann::json * out_json)58 Status RandomColorOperation::to_json(nlohmann::json *out_json) {
59 RETURN_UNEXPECTED_IF_NULL(out_json);
60 (*out_json)["degrees"] = std::vector<float>{t_lb_, t_ub_};
61 return Status::OK();
62 }
63
from_json(nlohmann::json op_params,std::shared_ptr<TensorOperation> * operation)64 Status RandomColorOperation::from_json(nlohmann::json op_params, std::shared_ptr<TensorOperation> *operation) {
65 RETURN_UNEXPECTED_IF_NULL(operation);
66 RETURN_IF_NOT_OK(ValidateParamInJson(op_params, "degrees", kRandomColorOperation));
67 std::vector<float> degrees = op_params["degrees"];
68 CHECK_FAIL_RETURN_UNEXPECTED(degrees.size() == 2, "The number of degrees should be 2");
69 float t_lb = degrees[0];
70 float t_ub = degrees[1];
71 *operation = std::make_shared<vision::RandomColorOperation>(t_lb, t_ub);
72 return Status::OK();
73 }
74 #endif
75 } // namespace vision
76 } // namespace dataset
77 } // namespace mindspore
78