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Support both use_calc_stream and sync_op in allgather API (#46295)
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| Original file line number | Diff line number | Diff line change |
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| // Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. | ||
| // | ||
| // Licensed under the Apache License, Version 2.0 (the "License"); | ||
| // you may not use this file except in compliance with the License. | ||
| // You may obtain a copy of the License at | ||
| // | ||
| // http://www.apache.org/licenses/LICENSE-2.0 | ||
| // | ||
| // Unless required by applicable law or agreed to in writing, software | ||
| // distributed under the License is distributed on an "AS IS" BASIS, | ||
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| // See the License for the specific language governing permissions and | ||
| // limitations under the License. | ||
|
|
||
| #pragma once | ||
|
|
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| #include "paddle/fluid/operators/math/concat_and_split.h" | ||
| #include "paddle/fluid/platform/device_context.h" | ||
| #include "paddle/phi/api/include/tensor.h" | ||
| #include "paddle/phi/backends/device_manager.h" | ||
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|
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| namespace paddle { | ||
| namespace distributed { | ||
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| template <typename DeviceContext, typename T> | ||
| struct SplitDenseTensor { | ||
| void operator()(const DeviceContext *context, | ||
| const phi::DenseTensor &in, | ||
| std::vector<phi::DenseTensor *> *out, | ||
| int axis = 0) { | ||
| std::vector<const phi::DenseTensor *> shape_refer; | ||
| shape_refer.reserve(out->size()); | ||
| for (auto *p_tensor : *out) { | ||
| shape_refer.emplace_back(p_tensor); | ||
| } | ||
| operators::math::SplitFunctor<DeviceContext, T> split_functor_; | ||
| split_functor_(*context, in, shape_refer, axis, out); | ||
| } | ||
| }; | ||
|
|
||
| #ifdef PADDLE_WITH_CUSTOM_DEVICE | ||
| template <typename T> | ||
| struct SplitDenseTensor<platform::CustomDeviceContext, T> { | ||
| void operator()(const platform::CustomDeviceContext *context, | ||
| const phi::DenseTensor &in, | ||
| std::vector<phi::DenseTensor *> *out) { | ||
| auto *in_data = in.data<T>(); | ||
| auto *device = phi::DeviceManager::GetDeviceWithPlace(context->GetPlace()); | ||
| size_t offset = 0; | ||
| for (auto *p_tensor : *out) { | ||
| auto *out_data = p_tensor->data<T>(); | ||
| auto sz = p_tensor->numel() * sizeof(T); | ||
| device->MemoryCopyD2D(out_data, in_data + offset, sz, nullptr); | ||
| offset += sz; | ||
| } | ||
| } | ||
| }; | ||
| #endif | ||
|
|
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| template <typename DeviceContext> | ||
| void SplitDenseTensorWithType(const DeviceContext *dev_ctx, | ||
| const phi::DenseTensor &p_dense, | ||
| std::vector<phi::DenseTensor *> *p_list, | ||
| phi::DataType type) { | ||
| switch (type) { | ||
| case phi::DataType::BOOL: | ||
| SplitDenseTensor<DeviceContext, bool>()(dev_ctx, p_dense, p_list); | ||
| break; | ||
| case phi::DataType::UINT8: | ||
| SplitDenseTensor<DeviceContext, uint8_t>()(dev_ctx, p_dense, p_list); | ||
| break; | ||
| case phi::DataType::INT8: | ||
| SplitDenseTensor<DeviceContext, int8_t>()(dev_ctx, p_dense, p_list); | ||
| break; | ||
| case phi::DataType::INT32: | ||
| SplitDenseTensor<DeviceContext, int32_t>()(dev_ctx, p_dense, p_list); | ||
| break; | ||
| case phi::DataType::INT64: | ||
| SplitDenseTensor<DeviceContext, int64_t>()(dev_ctx, p_dense, p_list); | ||
| break; | ||
| case phi::DataType::FLOAT16: | ||
| SplitDenseTensor<DeviceContext, platform::float16>()( | ||
| dev_ctx, p_dense, p_list); | ||
| break; | ||
| case phi::DataType::FLOAT32: | ||
| SplitDenseTensor<DeviceContext, float>()(dev_ctx, p_dense, p_list); | ||
| break; | ||
| case phi::DataType::FLOAT64: | ||
| SplitDenseTensor<DeviceContext, double>()(dev_ctx, p_dense, p_list); | ||
| break; | ||
| default: | ||
| PADDLE_THROW(platform::errors::Unimplemented( | ||
| "Data type (%s) is not supported when it splits tensors for " | ||
| "allgather.", | ||
| type)); | ||
| } | ||
| } | ||
|
|
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| void SplitTensor(const phi::DeviceContext *dev_ctx, | ||
| const phi::DenseTensor &tensor, | ||
| const std::vector<experimental::Tensor> *tensor_list) { | ||
| std::vector<phi::DenseTensor *> dense_list; | ||
| for (auto &tensor : *tensor_list) { | ||
| auto p_tensor = | ||
| std::dynamic_pointer_cast<phi::DenseTensor>(tensor.impl()).get(); | ||
| dense_list.emplace_back(p_tensor); | ||
| } | ||
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| const auto &place = dev_ctx->GetPlace(); | ||
| if (platform::is_gpu_place(place)) { | ||
| #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP) | ||
| SplitDenseTensorWithType(static_cast<const phi::GPUContext *>(dev_ctx), | ||
| tensor, | ||
| &dense_list, | ||
| tensor.dtype()); | ||
| #else | ||
| PADDLE_THROW(platform::errors::PermissionDenied( | ||
| "Paddle can't split tensor since it's not support NCCL/RCCL, please " | ||
| "recompile or reinstall Paddle with NCCL/RCCL support.")); | ||
| #endif | ||
| } else if (platform::is_custom_place(place)) { | ||
| #ifdef PADDLE_WITH_CUSTOM_DEVICE | ||
| SplitDenseTensorWithType( | ||
| static_cast<const platform::CustomDeviceContext *>(dev_ctx), | ||
| tensor, | ||
| &dense_list, | ||
| tensor.dtype()); | ||
| #else | ||
| PADDLE_THROW(platform::errors::PermissionDenied( | ||
| "Paddle can't split tensor since it's not compiled with CUSTOM_DEVICE, " | ||
| "please recompile or reinstall Paddle with CUSTOM_DEVICE support.")); | ||
| #endif | ||
| } else if (platform::is_cpu_place(place)) { | ||
| SplitDenseTensorWithType(static_cast<const phi::CPUContext *>(dev_ctx), | ||
| tensor, | ||
| &dense_list, | ||
| tensor.dtype()); | ||
| } else { | ||
| PADDLE_THROW(platform::errors::Unimplemented( | ||
| "Split tensor not supported on place (%s)", place)); | ||
| } | ||
| } | ||
|
|
||
| } // namespace distributed | ||
| } // namespace paddle |
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