wehub-resource-sync
53 lines
1.6 KiB
C++
53 lines
1.6 KiB
C++
// Copyright (c) 2023 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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#pragma once
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#include <vector>
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#include "paddle/phi/backends/xpu/enforce_xpu.h"
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#include "paddle/phi/backends/xpu/xpu_header.h"
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#include "paddle/phi/backends/xpu/xpu_info.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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namespace phi {
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template <typename T>
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T* Alloc_l3(xpu::ctx_guard* RAII_GUARD, const int64_t n) {
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T* ret = RAII_GUARD->alloc_l3<T>(n);
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return ret;
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}
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template <typename T, typename Context>
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T* Alloc_gm(const Context& dev_ctx, const int64_t n) {
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DenseTensor ret_tensor;
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DDim d({n});
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ret_tensor.Resize(d);
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T* ret = dev_ctx.template Alloc<T>(&ret_tensor);
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return ret;
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}
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template <typename Context, typename XPUT>
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XPUT* Alloc_l3_or_gm(const Context& dev_ctx,
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xpu::ctx_guard* RAII_GUARD,
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const int64_t n) {
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XPUT* ret = Alloc_l3<XPUT>(RAII_GUARD, n);
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if (ret != nullptr) {
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return ret;
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}
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using T = typename XPUTypeToPhiType<XPUT>::Type;
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ret = reinterpret_cast<XPUT*>(Alloc_gm<T, Context>(dev_ctx, n));
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return ret;
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}
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} // namespace phi
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