From dd23ae056a98e15f3899b421b384dc4e6a77ed59 Mon Sep 17 00:00:00 2001
From: NAUD Maxence <maxence.naud@cea.fr>
Date: Thu, 7 Dec 2023 10:54:23 +0000
Subject: [PATCH] [Rmv] fuseBatchNorm test from core as it needs an
implementation
---
unit_tests/recipies/Test_FuseBatchNorm.cpp | 70 ----------------------
1 file changed, 70 deletions(-)
delete mode 100644 unit_tests/recipies/Test_FuseBatchNorm.cpp
diff --git a/unit_tests/recipies/Test_FuseBatchNorm.cpp b/unit_tests/recipies/Test_FuseBatchNorm.cpp
deleted file mode 100644
index 5d9c02d55..000000000
--- a/unit_tests/recipies/Test_FuseBatchNorm.cpp
+++ /dev/null
@@ -1,70 +0,0 @@
-/********************************************************************************
- * Copyright (c) 2023 CEA-List
- *
- * This program and the accompanying materials are made available under the
- * terms of the Eclipse Public License 2.0 which is available at
- * http://www.eclipse.org/legal/epl-2.0.
- *
- * SPDX-License-Identifier: EPL-2.0
- *
- ********************************************************************************/
-/*
-#include <catch2/catch_test_macros.hpp>
-#include <set>
-
-
-//#include "aidge/backend/cpu/operator/BatchNormImpl.hpp"
-//#include "aidge/backend/cpu/operator/ConvImpl.hpp"
-
-
-
-#include "aidge/operator/Conv.hpp"
-#include "aidge/operator/GenericOperator.hpp"
-#include "aidge/operator/Producer.hpp"
-#include "aidge/graph/OpArgs.hpp"
-#include "aidge/operator/BatchNorm.hpp"
-#include "aidge/utils/Recipies.hpp"
-
-//#include "aidge/backend/TensorImpl.hpp"
-//#include "aidge/backend/cpu.hpp"
-//#include "aidge/"
-
-#include <cstddef>
-
-
-namespace Aidge {
-
-
- TEST_CASE("[FuseBatchNorm] conv") {
- auto g1 = Sequential({
- Producer({16, 3, 224, 224}, "dataProvider"),
- Conv(3, 32, {3, 3}, "conv1"),
- BatchNorm<2>()
- });
-
- g1->setDataType(DataType::Float32);
- g1->setBackend("cpu");
- g1->forwardDims();
-
- // std::set<std::string> availableBackends = Tensor::getAvailableBackends();
- // if (availableBackends.find("cpu") != availableBackends.end()){
- // g1->setBackend("cpu");
- // newTensor->getImpl()->setRawPtr(static_cast<T*>(info.ptr));
- // }else{
- // printf("Warning : Could not use aidge_cpu backend, verify you have `import aidge_cpu`\n");
- // }
-
- fuseBatchNorm(g1);
-
- SECTION("Check resulting nodes") {
- // REQUIRE(g1->getNodes().size() == 2);
- // REQUIRE(g2->getNode("conv1")->getOperator()->type() == "MaxPooling");
- // REQUIRE(g2->getNode("conv1")->getOperator()->getRawOutput(0) == g2->getNode("conv2")->getOperator()->getRawInput(0));
- // REQUIRE(g2->getNode("conv2")->getOperator()->type() == "MaxPooling");
- // REQUIRE(g2->getNode("conv2")->getOperator()->getRawOutput(0) == g2->getNode("conv3")->getOperator()->getRawInput(0));
- // REQUIRE(g2->getNode("conv3")->getOperator()->type() == "MaxPooling");
- }
- }
-
-}
-*/
\ No newline at end of file
--
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