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- /**
- * Copyright 2020 Huawei Technologies Co., Ltd
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
- #include <set>
-
- #include "ops/atan.h"
-
- namespace mindspore {
- namespace ops {
- AbstractBasePtr AtanInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive,
- const std::vector<AbstractBasePtr> &input_args) {
- MS_EXCEPTION_IF_NULL(primitive);
- auto prim_name = primitive->name();
- (void)CheckAndConvertUtils::CheckInteger("Atan_infer", SizeToLong(input_args.size()), kEqual, 1, prim_name);
-
- // Infer Shape
- auto x_shape = CheckAndConvertUtils::ConvertShapePtrToShapeMap(input_args[0]->BuildShape())[kShape];
- auto infer_shape = std::make_shared<abstract::Shape>(x_shape);
-
- // Infer Type
- auto dtype = input_args[0]->BuildType();
- const std::set<TypePtr> valid_types = {kFloat16, kFloat32, kInt32};
- auto element = CheckAndConvertUtils::CheckTensorTypeValid("x_dtype", dtype, valid_types, prim_name);
- return std::make_shared<abstract::AbstractTensor>(element, infer_shape->shape());
- }
- REGISTER_PRIMITIVE_C(kNameAtan, Atan);
- } // namespace ops
- } // namespace mindspore
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