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LoopHelpers.cpp
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/*
* Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
* the rights to use, copy, modify, merge, publish, distribute, sublicense,
* and/or sell copies of the Software, and to permit persons to whom the
* Software is furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
* THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
* DEALINGS IN THE SOFTWARE.
*/
#include "LoopHelpers.hpp"
#include "onnx2trt_utils.hpp"
namespace onnx2trt
{
nvinfer1::ITensor* addLoopCounter(IImporterContext* ctx, nvinfer1::ILoop* loop, int32_t initial)
{
nvinfer1::ITensor* initialTensor = addConstantScalar(ctx, initial, ::ONNX_NAMESPACE::TensorProto::INT32, nvinfer1::Dims{1, 1})->getOutput(0);
nvinfer1::ITensor* one = addConstantScalar(ctx, 1, ::ONNX_NAMESPACE::TensorProto::INT32, nvinfer1::Dims{1, 1})->getOutput(0);
auto counter = loop->addRecurrence(*initialTensor);
nvinfer1::ITensor* addOne = ctx->network()->addElementWise(*counter->getOutput(0), *one, nvinfer1::ElementWiseOperation::kSUM)->getOutput(0);
counter->setInput(1, *addOne);
return counter->getOutput(0);
}
} // namespace onnx2trt