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98 lines
3.2 KiB
98 lines
3.2 KiB
/**
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* Copyright 2020 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "minddata/dataset/include/transforms.h"
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#include "minddata/dataset/kernels/image/image_utils.h"
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// Kernel data headers (in alphabetical order)
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#include "minddata/dataset/kernels/data/one_hot_op.h"
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#include "minddata/dataset/kernels/data/type_cast_op.h"
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namespace mindspore {
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namespace dataset {
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namespace api {
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TensorOperation::TensorOperation() {}
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// Transform operations for data.
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namespace transforms {
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// FUNCTIONS TO CREATE DATA TRANSFORM OPERATIONS
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// (In alphabetical order)
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// Function to create OneHotOperation.
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std::shared_ptr<OneHotOperation> OneHot(int32_t num_classes) {
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auto op = std::make_shared<OneHotOperation>(num_classes);
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// Input validation
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if (!op->ValidateParams()) {
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return nullptr;
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}
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return op;
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}
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// Function to create TypeCastOperation.
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std::shared_ptr<TypeCastOperation> TypeCast(std::string data_type) {
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auto op = std::make_shared<TypeCastOperation>(data_type);
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// Input validation
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if (!op->ValidateParams()) {
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return nullptr;
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}
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return op;
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}
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/* ####################################### Validator Functions ############################################ */
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/* ####################################### Derived TensorOperation classes ################################# */
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// (In alphabetical order)
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// OneHotOperation
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OneHotOperation::OneHotOperation(int32_t num_classes) : num_classes_(num_classes) {}
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bool OneHotOperation::ValidateParams() {
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if (num_classes_ < 0) {
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MS_LOG(ERROR) << "OneHot: Number of classes cannot be negative. Number of classes: " << num_classes_;
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return false;
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}
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return true;
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}
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std::shared_ptr<TensorOp> OneHotOperation::Build() { return std::make_shared<OneHotOp>(num_classes_); }
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// TypeCastOperation
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TypeCastOperation::TypeCastOperation(std::string data_type) : data_type_(data_type) {}
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bool TypeCastOperation::ValidateParams() {
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std::vector<std::string> predefine_type = {"bool", "int8", "uint8", "int16", "uint16", "int32", "uint32",
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"int64", "uint64", "float16", "float32", "float64", "string"};
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auto itr = std::find(predefine_type.begin(), predefine_type.end(), data_type_);
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if (itr == predefine_type.end()) {
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MS_LOG(ERROR) << "TypeCast: Only support type bool, int8, uint8, int16, uint16, int32, uint32, "
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<< "int64, uint64, float16, float32, float64, string, but got " << data_type_;
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return false;
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}
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return true;
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}
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std::shared_ptr<TensorOp> TypeCastOperation::Build() { return std::make_shared<TypeCastOp>(data_type_); }
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} // namespace transforms
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} // namespace api
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} // namespace dataset
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} // namespace mindspore
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