wehub-resource-sync
103 lines
3.4 KiB
C++
103 lines
3.4 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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#pragma once
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#include "paddle/phi/backends/all_context.h"
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#include "paddle/phi/common/place.h"
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#ifdef PADDLE_WITH_XPU
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#include "paddle/phi/backends/xpu/xpu_l3_strategy.h"
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#endif
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#include <unordered_set>
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namespace paddle {
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class InferCPUContext : public phi::CPUContext {
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public:
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using phi::CPUContext::SetEigenDevice;
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};
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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class InferGPUContext : public phi::GPUContext {
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public:
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explicit InferGPUContext(const phi::Place& place);
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using phi::GPUContext::SetBlasHandle;
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using phi::GPUContext::SetBlasTensorCoreHandle;
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using phi::GPUContext::SetBlasTF32Handle;
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using phi::GPUContext::SetDnnHandle;
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using phi::GPUContext::SetEigenDevice;
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using phi::GPUContext::SetSolverHandle;
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using phi::GPUContext::SetSparseHandle;
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using phi::GPUContext::SetStream;
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// using phi::GPUContext::SetDnnWorkspaceHandle;
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using phi::GPUContext::SetComputeCapability;
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using phi::GPUContext::SetDriverVersion;
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using phi::GPUContext::SetMaxGridDimSize;
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using phi::GPUContext::SetMaxThreadsPerBlock;
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using phi::GPUContext::SetMaxThreadsPerMultiProcessor;
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using phi::GPUContext::SetMultiProcessors;
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using phi::GPUContext::SetRuntimeVersion;
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};
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#endif
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#ifdef PADDLE_WITH_XPU
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class InferXPUContext : public phi::XPUContext {
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public:
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explicit InferXPUContext(const phi::Place& place, int context_gm_size = -1);
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void* Alloc(phi::TensorBase* tensor,
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phi::DataType dtype,
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size_t requested_size = 0,
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bool pinned = false,
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bool fake_alloc = false) const override;
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void SetXContext(xpu::Context* x_context);
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void SetL3Info(size_t l3_size,
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void* l3_ptr,
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size_t l3_autotune_size,
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const phi::Place& place);
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void L3CacheAutotune();
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void SetConvAutotuneInfo(std::string conv_autotune_file,
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int conv_autotune_level,
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bool conv_autotune_file_writeback,
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const phi::Place& place);
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void SetFcAutotuneInfo(std::string fc_autotune_file,
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int fc_autotune_level,
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bool fc_autotune_file_writeback,
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const phi::Place& place);
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void SetContextOption(const char* name, const char* value);
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void SetOutHolder(phi::Allocation* holder);
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private:
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size_t l3_size_{0};
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void* l3_ptr_{nullptr};
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bool l3_owned_{false};
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size_t l3_autotune_size_{0};
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mutable std::vector<phi::XPUL3CacheBlock*> l3_blocks_;
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mutable std::unordered_map<phi::Allocation*, phi::XPUL3CacheBlock*>
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holder_l3_blocks_;
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mutable std::unordered_map<phi::Allocation*,
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std::pair<phi::Allocation*, bool>>
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holder_map_;
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mutable std::unordered_set<phi::Allocation*> output_holder_set_;
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phi::XPUL3Planner l3_plan_;
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};
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#endif
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} // namespace paddle
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