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[tests/nnfw_api] Add RmsNorm test cases for nnfw API (#14175)
This commit adds RmsNorm test cases for nnfw API. ONE-DCO-1.0-Signed-off-by: Seockho Kim [email protected]
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tests/nnfw_api/src/GenModelTests/one_op_tests/RmsNorm.test.cc
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/* | ||
* Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved | ||
* | ||
* 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. | ||
*/ | ||
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#include "GenModelTest.h" | ||
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TEST_F(GenModelTest, OneOp_RmsNorm) | ||
{ | ||
CircleGen cgen; | ||
uint32_t gamma_buf = cgen.addBuffer(std::vector<float>{1}); | ||
int gamma = cgen.addTensor({{1}, circle::TensorType::TensorType_FLOAT32, gamma_buf}); | ||
int in = cgen.addTensor({{1, 2, 2, 1}, circle::TensorType::TensorType_FLOAT32}); | ||
int out = cgen.addTensor({{1, 2, 2, 1}, circle::TensorType::TensorType_FLOAT32}); | ||
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cgen.addOperatorRmsNorm({{in, gamma}, {out}}, 0.00001f); | ||
cgen.setInputsAndOutputs({in}, {out}); | ||
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_context = std::make_unique<GenModelTestContext>(cgen.finish()); | ||
_context->addTestCase(uniformTCD<float>({{0, 1, 2, 3}}, {{0, 1, 1, 1}})); | ||
_context->setBackends({"cpu"}); | ||
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SUCCEED(); | ||
} | ||
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TEST_F(GenModelTest, neg_OneOp_RmsNorm_InvalidShape) | ||
{ | ||
CircleGen cgen; | ||
uint32_t gamma_buf = cgen.addBuffer(std::vector<float>{2}); | ||
int gamma = cgen.addTensor({{1}, circle::TensorType::TensorType_FLOAT32, gamma_buf}); | ||
int in = cgen.addTensor({{1, 2, 2, 1}, circle::TensorType::TensorType_FLOAT32}); | ||
int out = cgen.addTensor({{2, 2, 2, 2}, circle::TensorType::TensorType_FLOAT32}); | ||
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cgen.addOperatorRmsNorm({{in, gamma}, {out}}, 0.00001f); | ||
cgen.setInputsAndOutputs({in}, {out}); | ||
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_context = std::make_unique<GenModelTestContext>(cgen.finish()); | ||
_context->expectFailCompile(); | ||
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SUCCEED(); | ||
} |