chore: import upstream snapshot with attribution
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/* Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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 "paddle/phi/api/include/context_pool.h"
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#include "paddle/phi/backends/context_pool.h"
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#include "paddle/phi/common/memory_utils.h"
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#include "paddle/phi/common/place.h"
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#include "paddle/phi/common/transform.h"
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#include "paddle/phi/core/allocator.h"
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#include "paddle/phi/core/device_context.h"
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using phi::memory_utils::Copy;
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template <typename T>
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class Scale {
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public:
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explicit Scale(const T& scale) : scale_(scale) {}
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HOSTDEVICE T operator()(const T& a) const { return a * scale_; }
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private:
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T scale_;
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};
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TEST(Allocator, CPU) {
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phi::Allocator* allocator = paddle::GetAllocator(phi::CPUPlace());
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auto cpu_allocation = allocator->Allocate(sizeof(float) * 4);
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float* cpu_buf = static_cast<float*>(cpu_allocation->ptr());
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ASSERT_NE(cpu_buf, nullptr);
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cpu_buf[0] = 1.0f;
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cpu_buf[1] = 2.0f;
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cpu_buf[2] = 3.0f;
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cpu_buf[3] = 4.0f;
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for (size_t i = 0; i < 4; ++i) {
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cpu_buf[i] = cpu_buf[i] + 1;
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}
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for (size_t i = 0; i < 4; ++i) {
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ASSERT_NEAR(cpu_buf[i], static_cast<float>(2.0 + i), 1e-5);
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}
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}
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TEST(Allocator, GPU) {
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phi::GPUPlace gpu0(0);
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float cpu_buf[4] = {0.1, 0.2, 0.3, 0.4};
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phi::Allocator* allocator = paddle::GetAllocator(gpu0);
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auto gpu_allocation = allocator->Allocate(sizeof(cpu_buf));
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float* gpu_buf = static_cast<float*>(gpu_allocation->ptr());
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phi::DeviceContextPool& pool = phi::DeviceContextPool::Instance();
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auto* ctx = reinterpret_cast<phi::GPUContext*>(pool.Get(gpu0));
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Copy(gpu0, gpu_buf, phi::CPUPlace(), cpu_buf, sizeof(cpu_buf), ctx->stream());
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phi::Transform<phi::GPUContext> trans;
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trans(*ctx, gpu_buf, gpu_buf + 4, gpu_buf, Scale<float>(10));
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ctx->Wait();
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Copy(phi::CPUPlace(), cpu_buf, gpu0, gpu_buf, sizeof(cpu_buf), ctx->stream());
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for (int i = 0; i < 4; ++i) {
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ASSERT_NEAR(cpu_buf[i], static_cast<float>(i + 1), 1e-5);
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}
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}
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