Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into complete_py_reader_python
sneaxiy
7 years ago
commit
9b28260029
@ -0,0 +1,154 @@
|
||||
// Copyright (c) 2018 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.
|
||||
|
||||
#include "paddle/fluid/framework/details/data_balance_op_handle.h"
|
||||
#include <algorithm>
|
||||
#include "paddle/fluid/framework/details/container_cast.h"
|
||||
|
||||
namespace paddle {
|
||||
namespace framework {
|
||||
namespace details {
|
||||
|
||||
#ifdef PADDLE_WITH_CUDA
|
||||
DataBalanceOpHandle::DataBalanceOpHandle(
|
||||
const std::vector<Scope *> &local_scopes,
|
||||
const std::vector<platform::Place> &places,
|
||||
const platform::NCCLContextMap *ctxs)
|
||||
: local_scopes_(local_scopes), places_(places) {
|
||||
if (ctxs) {
|
||||
for (auto &p : places_) {
|
||||
this->dev_ctxes_[p] = ctxs->DevCtx(p);
|
||||
}
|
||||
}
|
||||
}
|
||||
#else
|
||||
DataBalanceOpHandle::DataBalanceOpHandle(
|
||||
const std::vector<Scope *> &local_scopes,
|
||||
const std::vector<platform::Place> &places)
|
||||
: local_scopes_(local_scopes), places_(places) {}
|
||||
#endif
|
||||
|
||||
std::string DataBalanceOpHandle::Name() const { return "data balance"; }
|
||||
|
||||
std::vector<std::array<int, 3>> DataBalanceOpHandle::GetBalancePlan(
|
||||
const std::vector<int> &device_sizes) {
|
||||
int device_num = device_sizes.size();
|
||||
int total_size = 0;
|
||||
int empty_num = 0;
|
||||
std::vector<std::array<int, 2>> size_device_vec;
|
||||
size_device_vec.reserve(device_num);
|
||||
for (int i = 0; i < device_num; ++i) {
|
||||
if (device_sizes[i] == 0) {
|
||||
++empty_num;
|
||||
}
|
||||
total_size += device_sizes[i];
|
||||
size_device_vec.push_back({{device_sizes[i], i}});
|
||||
}
|
||||
std::vector<std::array<int, 3>> res;
|
||||
if (empty_num == 0) {
|
||||
// No need to do data balance.
|
||||
return res;
|
||||
}
|
||||
if (total_size < device_num) {
|
||||
// No enough data.
|
||||
PADDLE_THROW_EOF();
|
||||
}
|
||||
std::sort(size_device_vec.begin(), size_device_vec.end(),
|
||||
[](const std::array<int, 2> &a, const std::array<int, 2> &b) {
|
||||
return a[0] > b[0];
|
||||
});
|
||||
int expected_device_size = total_size / device_num;
|
||||
int src_idx = 0;
|
||||
for (int dst_idx = device_num - empty_num; dst_idx < device_num; ++dst_idx) {
|
||||
if (size_device_vec[src_idx][0] <= expected_device_size) {
|
||||
++src_idx;
|
||||
PADDLE_ENFORCE_LT(
|
||||
src_idx, device_num - empty_num,
|
||||
"In current srategy an empty tensor should not be copy source.");
|
||||
}
|
||||
size_device_vec[src_idx][0] -= expected_device_size;
|
||||
size_device_vec[dst_idx][0] += expected_device_size;
|
||||
res.push_back({{size_device_vec[src_idx][1], size_device_vec[dst_idx][1],
|
||||
expected_device_size}});
|
||||
}
|
||||
return res;
|
||||
}
|
||||
|
||||
void DataBalanceOpHandle::RunImpl() {
|
||||
if (places_.size() == 1) {
|
||||
return;
|
||||
}
|
||||
auto in_var_handles = DynamicCast<VarHandle>(inputs_);
|
||||
auto out_var_handles = DynamicCast<VarHandle>(outputs_);
|
||||
PADDLE_ENFORCE(in_var_handles.size() % places_.size() == 0);
|
||||
PADDLE_ENFORCE_EQ(
|
||||
in_var_handles.size(), out_var_handles.size(),
|
||||
"The NoDummyInputSize and NoDummyOutputSize should be equal.");
|
||||
int data_num = in_var_handles.size() / places_.size();
|
||||
WaitInputVarGenerated();
|
||||
std::vector<std::vector<LoDTensor *>> lod_tensors(data_num);
|
||||
std::vector<int> device_sizes;
|
||||
for (int i = 0; i < static_cast<int>(in_var_handles.size()); ++i) {
|
||||
PADDLE_ENFORCE_EQ(in_var_handles[i]->name_, out_var_handles[i]->name_,
|
||||
"The name of input and output should be equal.");
|
||||
int place_idx = i / data_num;
|
||||
int data_idx = i % data_num;
|
||||
auto *local_scope =
|
||||
local_scopes_[place_idx]->FindVar(kLocalExecScopeName)->Get<Scope *>();
|
||||
auto *tensor_var = local_scope->FindVar(in_var_handles[i]->name_);
|
||||
PADDLE_ENFORCE(tensor_var->IsType<LoDTensor>());
|
||||
auto *tensor = tensor_var->GetMutable<LoDTensor>();
|
||||
lod_tensors[data_idx].push_back(tensor);
|
||||
int ins_size =
|
||||
tensor->lod().empty() ? tensor->dims()[0] : tensor->NumElements();
|
||||
if (data_idx == 0) {
|
||||
device_sizes.emplace_back(ins_size);
|
||||
} else {
|
||||
PADDLE_ENFORCE_EQ(
|
||||
ins_size, device_sizes.at(place_idx),
|
||||
"All data on the same device shall have the same batch size.");
|
||||
}
|
||||
}
|
||||
const auto &balance_plan = GetBalancePlan(device_sizes);
|
||||
|
||||
for (const auto &trans : balance_plan) {
|
||||
for (int data_idx = 0; data_idx < data_num; ++data_idx) {
|
||||
LoDTensor *src_tensor = lod_tensors[data_idx][trans[0]];
|
||||
LoDTensor *dst_tensor = lod_tensors[data_idx][trans[1]];
|
||||
int trans_ins_size = trans[2];
|
||||
LoD src_lod = src_tensor->lod();
|
||||
int src_ins_size =
|
||||
src_lod.empty() ? src_tensor->dims()[0] : src_tensor->NumElements();
|
||||
int cut_point = src_ins_size - trans_ins_size;
|
||||
if (!src_lod.empty()) {
|
||||
for (auto &level : src_lod) {
|
||||
cut_point = level[cut_point];
|
||||
}
|
||||
}
|
||||
TensorCopySync(src_tensor->Slice(cut_point, src_tensor->dims()[0]),
|
||||
dst_tensor->place(), dst_tensor);
|
||||
src_tensor->ShareDataWith(src_tensor->Slice(0, cut_point));
|
||||
if (!src_lod.empty()) {
|
||||
dst_tensor->set_lod(SliceInLevel(
|
||||
src_lod, 0, src_ins_size - trans_ins_size, src_ins_size));
|
||||
src_tensor->set_lod(
|
||||
SliceInLevel(src_lod, 0, 0, src_ins_size - trans_ins_size));
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
} // namespace details
|
||||
} // namespace framework
|
||||
} // namespace paddle
|
||||
@ -0,0 +1,59 @@
|
||||
// Copyright (c) 2018 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
|
||||
|
||||
#include <string>
|
||||
#include <vector>
|
||||
#include "paddle/fluid/framework/details/op_handle_base.h"
|
||||
#include "paddle/fluid/framework/lod_tensor.h"
|
||||
#include "paddle/fluid/framework/scope.h"
|
||||
#ifdef PADDLE_WITH_CUDA
|
||||
#include "paddle/fluid/platform/nccl_helper.h"
|
||||
#endif
|
||||
|
||||
namespace paddle {
|
||||
namespace framework {
|
||||
namespace details {
|
||||
|
||||
struct DataBalanceOpHandle : public OpHandleBase {
|
||||
public:
|
||||
#ifdef PADDLE_WITH_CUDA
|
||||
DataBalanceOpHandle(const std::vector<Scope *> &local_scopes,
|
||||
const std::vector<platform::Place> &places,
|
||||
const platform::NCCLContextMap *ctxs);
|
||||
#else
|
||||
DataBalanceOpHandle(const std::vector<Scope *> &local_scopes,
|
||||
const std::vector<platform::Place> &places);
|
||||
#endif
|
||||
|
||||
std::string Name() const override;
|
||||
|
||||
bool IsMultiDeviceTransfer() override { return false; };
|
||||
|
||||
protected:
|
||||
void RunImpl() override;
|
||||
|
||||
private:
|
||||
// std::vector<(src_dev_id, dst_dev_id, trans_size)>
|
||||
std::vector<std::array<int, 3>> GetBalancePlan(
|
||||
const std::vector<int> &batch_size_per_device);
|
||||
|
||||
const std::vector<Scope *> local_scopes_;
|
||||
const std::vector<platform::Place> places_;
|
||||
};
|
||||
|
||||
} // namespace details
|
||||
} // namespace framework
|
||||
} // namespace paddle
|
||||
Some files were not shown because too many files have changed in this diff Show More
Loading…
Reference in new issue