wehub-resource-sync
45 lines
1.7 KiB
C++
45 lines
1.7 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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#include <gtest/gtest.h>
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#include <iostream>
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#include "paddle/phi/backends/dynload/cudnn.h"
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#include "paddle/phi/backends/dynload/cudnn_frontend.h"
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TEST(CudnnFrontendTest, TensorCreation) {
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// Consider creation of a 2d Tensor
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// n,c,h,w as 4,32,32,32
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std::cout << "Tensor creation comparison" << std::endl;
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std::array<int64_t, 4> tensor_dim = {4, 32, 32, 32};
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std::array<int64_t, 4> tensor_str = {32768, 1024, 32, 1}; // NCHW format
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cudnnDataType_t data_type = CUDNN_DATA_FLOAT;
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int64_t alignment = sizeof(float);
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int64_t id = 0xD0D0CACA; // Some magic number
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try {
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auto tensor = cudnn_frontend::TensorBuilder()
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.setDim(tensor_dim.size(), tensor_dim.data())
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.setStrides(tensor_str.size(), tensor_str.data())
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.setId(id)
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.setAlignment(alignment)
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.setDataType(data_type)
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.build();
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} catch (cudnn_frontend::cudnnException &e) {
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std::cout << "Exception in tensor creation " << e.what() << std::endl;
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FAIL();
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}
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std::cout << "Finished tensor creation." << std::endl;
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}
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