From c328e30f3573e538dc270f60f8754b6c02c5a5f0 Mon Sep 17 00:00:00 2001
From: hrouis <houssemeddine.rouis92@gmail.com>
Date: Fri, 26 Jan 2024 14:03:38 +0100
Subject: [PATCH] fix clang warning
---
src/operator/ArithmeticOperator.cpp | 10 +++++-----
1 file changed, 5 insertions(+), 5 deletions(-)
diff --git a/src/operator/ArithmeticOperator.cpp b/src/operator/ArithmeticOperator.cpp
index b2ea9dd12..9a786ae27 100644
--- a/src/operator/ArithmeticOperator.cpp
+++ b/src/operator/ArithmeticOperator.cpp
@@ -21,7 +21,7 @@
void Aidge::ArithmeticOperator::associateInput(const Aidge::IOIndex_t inputIdx, const std::shared_ptr<Aidge::Data>& data) {
if (inputIdx >= 2) {
- AIDGE_THROW_OR_ABORT(std::runtime_error, "%s Operator has %hu inputs", type().c_str(),2);
+ AIDGE_THROW_OR_ABORT(std::runtime_error, "%s Operator has 2 inputs", type().c_str());
}
if (strcmp((data)->type(), Tensor::Type) != 0) {
AIDGE_THROW_OR_ABORT(std::runtime_error, "Input data must be of Tensor type");
@@ -55,7 +55,7 @@ void Aidge::ArithmeticOperator::setInput(const Aidge::IOIndex_t inputIdx, std::s
const std::shared_ptr<Aidge::Tensor>& Aidge::ArithmeticOperator::getInput(const Aidge::IOIndex_t inputIdx) const {
if (inputIdx >= nbInputs()) {
- AIDGE_THROW_OR_ABORT(std::runtime_error, "%s Operator has %hu inputs", type().c_str(), nbInputs());
+ AIDGE_THROW_OR_ABORT(std::runtime_error, "%s Operator has 2 inputs", type().c_str());
}
return mInputs[inputIdx];
}
@@ -65,7 +65,7 @@ void Aidge::ArithmeticOperator::setOutput(const Aidge::IOIndex_t outputIdx, cons
AIDGE_THROW_OR_ABORT(std::runtime_error, "%s Operator only accepts Tensors as inputs", type().c_str());
}
if (outputIdx >= nbOutputs()) {
- AIDGE_THROW_OR_ABORT(std::runtime_error, "%s Operator has %hu outputs", type().c_str(), nbOutputs());
+ AIDGE_THROW_OR_ABORT(std::runtime_error, "%s Operator has 1 outputs", type().c_str());
}
*mOutputs[outputIdx] = *std::dynamic_pointer_cast<Tensor>(data);
}
@@ -75,14 +75,14 @@ void Aidge::ArithmeticOperator::setOutput(const Aidge::IOIndex_t outputIdx, std:
AIDGE_THROW_OR_ABORT(std::runtime_error, "%s Operator only accepts Tensors as inputs", type().c_str());
}
if (outputIdx >= nbOutputs()) {
- AIDGE_THROW_OR_ABORT(std::runtime_error, "%s Operator has %hu outputs", type().c_str(), nbOutputs());
+ AIDGE_THROW_OR_ABORT(std::runtime_error, "%s Operator has 1 output", type().c_str());
}
*mOutputs[outputIdx] = std::move(*std::dynamic_pointer_cast<Tensor>(data));
}
const std::shared_ptr<Aidge::Tensor>& Aidge::ArithmeticOperator::getOutput(const Aidge::IOIndex_t outputIdx) const {
if (outputIdx >= nbOutputs()) {
- AIDGE_THROW_OR_ABORT(std::runtime_error, "%s Operator has %hu outputs", type().c_str(), nbOutputs());
+ AIDGE_THROW_OR_ABORT(std::runtime_error, "%s Operator has 1 output", type().c_str());
}
return mOutputs[outputIdx];
}
--
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