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			41 lines
		
	
	
		
			1.4 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			41 lines
		
	
	
		
			1.4 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
| // Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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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 "paddle2onnx/mapper/tensor/pow.h"
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| 
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| #include <unordered_set>
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| 
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| namespace paddle2onnx {
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| REGISTER_MAPPER(pow, PowMapper)
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| 
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| void PowMapper::Opset7() {
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|   auto input_info = GetInput("X");
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|   auto output_info = GetOutput("Out");
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| 
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|   auto factor_node =
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|       helper_->Constant({}, ONNX_NAMESPACE::TensorProto::FLOAT, factor_);
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|   if (input_info[0].dtype != P2ODataType::FP32) {
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|     std::string x_cast_name = helper_->AutoCast(
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|         {input_info[0].name}, input_info[0].dtype, P2ODataType::FP32);
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|     auto node = helper_->MakeNode("Pow", {x_cast_name, factor_node});
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|     helper_->AutoCast(node->output(0), {output_info[0].name}, P2ODataType::FP32,
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|                       input_info[0].dtype);
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|   } else {
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|     helper_->MakeNode("Pow", {input_info[0].name, factor_node},
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|                       {output_info[0].name});
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|   }
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| }
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| 
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| }  // namespace paddle2onnx
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