wehub-resource-sync
75 lines
2.3 KiB
C++
75 lines
2.3 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 <memory>
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#include "paddle/phi/api/lib/utils/allocator.h"
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#include "paddle/phi/backends/context_pool.h"
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#include "paddle/phi/backends/gpu/gpu_context.h"
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#include "paddle/phi/common/place.h"
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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/phi/core/device_context.h"
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#include "paddle/phi/infermeta/unary.h"
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#include "paddle/phi/kernels/transfer_layout_kernel.h"
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namespace phi {
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namespace tests {
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#ifdef PADDLE_WITH_DNNL
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TEST(DEV_API, transfer_layout) {
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// 1. create tensor
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const int n = 2;
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const int c = 3;
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const int h = 4;
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const int w = 5;
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DenseTensor x;
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MetaTensor meta_x(&x);
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meta_x.set_dtype(DataType::FLOAT32);
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meta_x.set_layout(DataLayout::ONEDNN);
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meta_x.set_dims(common::make_ddim({n, c, h, w}));
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DenseTensor out;
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// 2. test API
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auto& pool = phi::DeviceContextPool::Instance();
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auto place = phi::CPUPlace();
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auto* dev_ctx = static_cast<const phi::CPUContext*>(pool.GetByPlace(place));
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MetaTensor meta_out(&out);
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TransferLayoutInferMeta(x,
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static_cast<int>(x.layout()),
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static_cast<int>(DataLayout::NHWC),
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&meta_out);
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TransferLayoutKernel<CPUContext>(*dev_ctx,
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x,
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static_cast<int>(x.layout()),
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static_cast<int>(DataLayout::NHWC),
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&out);
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// 3. check result
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std::vector<int64_t> expect_shape = {12, 3};
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ASSERT_EQ(out.dims(), common::make_ddim({n, h, w, c}));
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ASSERT_EQ(out.dims().size(), 4);
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ASSERT_EQ(out.meta().dtype, DataType::FLOAT32);
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ASSERT_EQ(out.meta().layout, DataLayout::NHWC);
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}
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#endif
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} // namespace tests
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} // namespace phi
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