forked from huawei/mindspore2022
74 lines
3.1 KiB
C++
74 lines
3.1 KiB
C++
/**
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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 <map>
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#include <string>
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#include <set>
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#include <vector>
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#include <memory>
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#include "ops/assert.h"
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#include "ops/op_utils.h"
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namespace mindspore {
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namespace ops {
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void Assert::Init(const int64_t summarize) { set_summarize(summarize); }
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void Assert::set_summarize(const int64_t summarize) { (void)this->AddAttr(kSummarize, MakeValue(summarize)); }
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int64_t Assert::get_summarize() const {
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auto value_ptr = GetAttr(kSummarize);
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return GetValue<int64_t>(value_ptr);
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}
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AbstractBasePtr AssertInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive,
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const std::vector<AbstractBasePtr> &input_args) {
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MS_EXCEPTION_IF_NULL(primitive);
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auto op_name = primitive->name();
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TypePtr condition;
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if (!(input_args[0]->BuildType()->type_id() == kObjectTypeTensorType)) {
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auto condition_values = GetValue<std::vector<bool>>(input_args[0]->BuildValue());
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(void)CheckAndConvertUtils::CheckInteger("condition's rank", SizeToLong(condition_values.size()), kLessEqual, 1,
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op_name);
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if (condition_values.size() == 1) {
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(void)CheckAndConvertUtils::CheckInteger("condition[0]", SizeToLong(condition_values[0]), kEqual, 1, op_name);
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}
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condition = TypeIdToType(kNumberTypeBool);
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} else {
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auto condition_shape = CheckAndConvertUtils::ConvertShapePtrToShapeMap(input_args[0]->BuildShape())[kShape];
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(void)CheckAndConvertUtils::CheckInteger("condition's rank", condition_shape[0], kLessEqual, 1, op_name);
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if (condition_shape[0] == 1) {
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auto condition_value = reinterpret_cast<bool *>(input_args[0]->BuildValue()->cast<tensor::TensorPtr>()->data_c());
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MS_EXCEPTION_IF_NULL(condition_value);
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(void)CheckAndConvertUtils::CheckInteger("condition[0]", *condition_value, kEqual, 1, op_name);
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}
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condition = input_args[0]->BuildType();
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}
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std::vector<int64_t> output_shape = {1};
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std::set<TypePtr> local_bool = {kBool};
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std::map<std::string, TypePtr> args = {{"condition", condition}};
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(void)CheckAndConvertUtils::CheckScalarOrTensorTypesSame(args, local_bool, op_name);
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auto inputs_type = input_args[1]->BuildType()->cast<TuplePtr>()->elements();
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for (auto dtype : inputs_type) {
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std::set<TypePtr> template_types = {kTensorType};
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(void)CheckAndConvertUtils::CheckSubClass("input", dtype, template_types, op_name);
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}
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return std::make_shared<abstract::AbstractTensor>(kInt32, output_shape);
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}
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REGISTER_PRIMITIVE_C(kNameAssert, Assert);
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} // namespace ops
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} // namespace mindspore
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