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1 /**
2  * Copyright 2020-2021 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 <algorithm>
17 
18 #include "minddata/dataset/kernels/ir/vision/softdvpp_decode_random_crop_resize_jpeg_ir.h"
19 
20 #ifndef ENABLE_ANDROID
21 #include "minddata/dataset/kernels/image/soft_dvpp/soft_dvpp_decode_random_crop_resize_jpeg_op.h"
22 #endif
23 
24 #include "minddata/dataset/kernels/ir/validators.h"
25 
26 namespace mindspore {
27 namespace dataset {
28 namespace vision {
29 #ifndef ENABLE_ANDROID
30 // SoftDvppDecodeRandomCropResizeJpegOperation
SoftDvppDecodeRandomCropResizeJpegOperation(const std::vector<int32_t> & size,const std::vector<float> & scale,const std::vector<float> & ratio,int32_t max_attempts)31 SoftDvppDecodeRandomCropResizeJpegOperation::SoftDvppDecodeRandomCropResizeJpegOperation(
32   const std::vector<int32_t> &size, const std::vector<float> &scale, const std::vector<float> &ratio,
33   int32_t max_attempts)
34     : size_(size), scale_(scale), ratio_(ratio), max_attempts_(max_attempts) {}
35 
36 SoftDvppDecodeRandomCropResizeJpegOperation::~SoftDvppDecodeRandomCropResizeJpegOperation() = default;
37 
Name() const38 std::string SoftDvppDecodeRandomCropResizeJpegOperation::Name() const {
39   return kSoftDvppDecodeRandomCropResizeJpegOperation;
40 }
41 
ValidateParams()42 Status SoftDvppDecodeRandomCropResizeJpegOperation::ValidateParams() {
43   // size
44   RETURN_IF_NOT_OK(ValidateVectorSize("SoftDvppDecodeRandomCropResizeJpeg", size_));
45   constexpr int32_t value_one = 1;
46   constexpr int32_t value_two = 2;
47   for (size_t i = 0; i < size_.size(); i++) {
48     if (size_[i] % value_two == value_one) {
49       std::string err_msg = "SoftDvppDecodeRandomCropResizeJpeg: size[" + std::to_string(i) +
50                             "] must be even values, got: " + std::to_string(size_[i]);
51       MS_LOG(ERROR) << err_msg;
52       RETURN_STATUS_SYNTAX_ERROR(err_msg);
53     }
54   }
55   // scale
56   RETURN_IF_NOT_OK(ValidateVectorScale("SoftDvppDecodeRandomCropResizeJpeg", scale_));
57   // ratio
58   RETURN_IF_NOT_OK(ValidateVectorRatio("SoftDvppDecodeRandomCropResizeJpeg", ratio_));
59   // max_attempts
60   if (max_attempts_ < 1) {
61     std::string err_msg = "SoftDvppDecodeRandomCropResizeJpeg: max_attempts must be greater than or equal to 1, got: " +
62                           std::to_string(max_attempts_);
63     MS_LOG(ERROR) << err_msg;
64     RETURN_STATUS_SYNTAX_ERROR(err_msg);
65   }
66   return Status::OK();
67 }
68 
Build()69 std::shared_ptr<TensorOp> SoftDvppDecodeRandomCropResizeJpegOperation::Build() {
70   constexpr size_t dimension_zero = 0;
71   constexpr size_t dimension_one = 1;
72   constexpr size_t size_two = 2;
73 
74   int32_t height = size_[dimension_zero];
75   int32_t width = size_[dimension_zero];
76   // User specified the width value.
77   if (size_.size() == size_two) {
78     width = size_[dimension_one];
79   }
80 
81   auto tensor_op = std::make_shared<SoftDvppDecodeRandomCropResizeJpegOp>(height, width, scale_[dimension_zero],
82                                                                           scale_[dimension_one], ratio_[dimension_zero],
83                                                                           ratio_[dimension_one], max_attempts_);
84   return tensor_op;
85 }
86 
to_json(nlohmann::json * out_json)87 Status SoftDvppDecodeRandomCropResizeJpegOperation::to_json(nlohmann::json *out_json) {
88   nlohmann::json args;
89   args["size"] = size_;
90   args["scale"] = scale_;
91   args["ratio"] = ratio_;
92   args["max_attempts"] = max_attempts_;
93   *out_json = args;
94   return Status::OK();
95 }
96 
from_json(nlohmann::json op_params,std::shared_ptr<TensorOperation> * operation)97 Status SoftDvppDecodeRandomCropResizeJpegOperation::from_json(nlohmann::json op_params,
98                                                               std::shared_ptr<TensorOperation> *operation) {
99   CHECK_FAIL_RETURN_UNEXPECTED(op_params.find("size") != op_params.end(), "Failed to find size");
100   CHECK_FAIL_RETURN_UNEXPECTED(op_params.find("scale") != op_params.end(), "Failed to find scale");
101   CHECK_FAIL_RETURN_UNEXPECTED(op_params.find("ratio") != op_params.end(), "Failed to find ratio");
102   CHECK_FAIL_RETURN_UNEXPECTED(op_params.find("max_attempts") != op_params.end(), "Failed to find max_attempts");
103   std::vector<int32_t> size = op_params["size"];
104   std::vector<float> scale = op_params["scale"];
105   std::vector<float> ratio = op_params["ratio"];
106   int32_t max_attempts = op_params["max_attempts"];
107   *operation = std::make_shared<vision::SoftDvppDecodeRandomCropResizeJpegOperation>(size, scale, ratio, max_attempts);
108   return Status::OK();
109 }
110 
111 #endif
112 }  // namespace vision
113 }  // namespace dataset
114 }  // namespace mindspore
115