158 lines
5.0 KiB
C++
158 lines
5.0 KiB
C++
/* Copyright (c) 2021 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 "paddle/phi/core/compat/convert_utils.h"
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#include "paddle/common/flags.h"
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#include "paddle/phi/backends/gpu/gpu_info.h"
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#include "paddle/phi/backends/xpu/xpu_info.h"
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#include "paddle/phi/common/place.h"
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#include "paddle/phi/core/compat/op_utils.h"
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#include "paddle/phi/core/enforce.h"
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#ifdef PADDLE_WITH_CUSTOM_DEVICE
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#include "paddle/phi/backends/device_manager.h"
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#endif
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COMMON_DECLARE_bool(pinned_memory_as_cpu_backend);
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namespace phi {
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Backend TransToPhiBackend(const Place& place) {
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auto allocation_type = place.GetType();
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switch (allocation_type) {
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case AllocationType::GPU:
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return Backend::GPU;
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case AllocationType::CPU:
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return Backend::CPU;
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case AllocationType::GPUPINNED: {
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if (FLAGS_pinned_memory_as_cpu_backend) {
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return Backend::CPU;
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} else {
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return Backend::GPU;
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}
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}
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case AllocationType::XPU:
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return Backend::XPU;
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case AllocationType::XPUPINNED: {
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if (FLAGS_pinned_memory_as_cpu_backend) {
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return Backend::CPU;
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} else {
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return Backend::XPU;
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}
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}
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case AllocationType::IPU:
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return Backend::IPU;
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case AllocationType::UNDEFINED:
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return Backend::UNDEFINED;
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case AllocationType::CUSTOM:
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return static_cast<Backend>(
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static_cast<size_t>(Backend::NUM_BACKENDS) +
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CustomRegisteredDeviceMap::Instance().GetOrRegisterGlobalDeviceTypeId(
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place.GetDeviceType()));
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default:
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PADDLE_THROW(common::errors::InvalidArgument(
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"Unsupported transform %s to phi Backend.", place));
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}
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}
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Place TransToPhiPlace(const Backend& backend, bool set_device_id) {
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// NOTE(zhiqiu): GetCurrentDeviceId not always success, and device id is not
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// always needed.
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// So, add set_device_id parameter here.
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switch (backend) {
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case Backend::CPU:
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return CPUPlace();
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case Backend::UNDEFINED:
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return Place();
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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case Backend::GPU:
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case Backend::GPUDNN:
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return GPUPlace(set_device_id ? backends::gpu::GetCurrentDeviceId() : 0);
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#endif
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#ifdef PADDLE_WITH_DNNL
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case Backend::ONEDNN: // NOLINT
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return CPUPlace();
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#endif
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#if defined(PADDLE_WITH_XPU)
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case Backend::XPU:
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return XPUPlace(set_device_id ? backends::xpu::GetXPUCurrentDeviceId()
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: 0);
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#endif
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case Backend::KPS:
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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return GPUPlace(set_device_id ? backends::gpu::GetCurrentDeviceId() : 0);
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#elif defined(PADDLE_WITH_XPU_KP)
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return XPUPlace(set_device_id ? backends::xpu::GetXPUCurrentDeviceId()
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: 0);
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#endif
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default: {
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#ifdef PADDLE_WITH_CUSTOM_DEVICE
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size_t device_type_id_ = static_cast<size_t>(backend) -
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static_cast<size_t>(Backend::NUM_BACKENDS);
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if ((backend == Backend::CUSTOM) || (backend == Backend::GPUDNN)) {
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device_type_id_ = 1;
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}
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std::string device_type =
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CustomRegisteredDeviceMap::Instance().GetGlobalDeviceType(
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device_type_id_);
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if (!device_type.empty()) {
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return CustomPlace(
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device_type,
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set_device_id ? DeviceManager::GetDevice(device_type) : 0);
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} else if (backend == Backend::CUSTOM) {
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return CustomPlace();
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}
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#endif
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PADDLE_THROW(common::errors::Unimplemented(
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"Unsupported backend `%s` when casting it to paddle place type.",
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backend));
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}
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}
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}
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const std::string& TransToPhiKernelName(const std::string& fluid_op_name) {
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return OpUtilsMap::Instance().GetBaseKernelName(fluid_op_name);
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}
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const std::string& TransToFluidOpName(const std::string& phi_kernel_name) {
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const auto& phi_kernel_to_fluid_op =
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OpUtilsMap::Instance().phi_kernel_to_fluid_op();
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auto it = phi_kernel_to_fluid_op.find(phi_kernel_name);
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if (it != phi_kernel_to_fluid_op.end()) {
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return it->second;
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}
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return phi_kernel_name;
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}
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#ifdef PADDLE_WITH_DNNL
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dnnl::memory::data_type TransToOneDNNDataType(const DataType& dtype) {
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switch (dtype) {
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case DataType::FLOAT32:
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return dnnl::memory::data_type::f32;
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case DataType::BFLOAT16:
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return dnnl::memory::data_type::bf16;
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case DataType::INT8:
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return dnnl::memory::data_type::s8;
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case DataType::UINT8:
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return dnnl::memory::data_type::u8;
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case DataType::INT32:
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return dnnl::memory::data_type::s32;
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default:
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return dnnl::memory::data_type::undef;
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}
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}
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#endif
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} // namespace phi
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