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!3491 Delete parameter name hard code for embedding-lookup 

Merge pull request !3491 from ZPaC/delete-param-name-hard-code
This commit is contained in:
mindspore-ci-bot 2020-07-25 20:16:51 +08:00 committed by Gitee
parent 57c00a77f1 8943cdbc13
commit c9e43ffb85
3 changed files with 18 additions and 6 deletions
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8
mindspore/ccsrc/backend/session/session_basic.cc
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@ -1194,6 +1194,7 @@ void SessionBasic::InitPSParamAndOptim(const KernelGraphPtr &kernel_graph,
}
auto ms_context = MsContext::GetInstance();
MS_EXCEPTION_IF_NULL(ms_context);
std::vector<int> shape_init_in_server = {1};
for (size_t i = 0; i < inputs.size(); ++i) {
auto tensor = inputs[i];
MS_EXCEPTION_IF_NULL(tensor);
@ -1201,8 +1202,13 @@ void SessionBasic::InitPSParamAndOptim(const KernelGraphPtr &kernel_graph,
MS_EXCEPTION_IF_NULL(input_node);
if (input_node->isa<Parameter>() && AnfAlgo::OutputAddrExist(input_node, 0)) {
auto pk_node = input_node->cast<ParameterPtr>();
bool init_in_server = false;
if (tensor->shape_c() == shape_init_in_server) {
MS_LOG(INFO) << "The param need to be initialized in server " << pk_node->fullname_with_scope();
init_in_server = true;
}
mindspore::parallel::ps::Worker<float>::GetInstance().InitPSParamAndOptim(
pk_node->fullname_with_scope(), tensor->data_c(), LongToSize(tensor->data().nbytes()));
pk_node->fullname_with_scope(), tensor->data_c(), LongToSize(tensor->data().nbytes()), init_in_server);
}
}
ps_init_ = true;

4
mindspore/ccsrc/frontend/parallel/ps/parameter_server.h
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@ -542,6 +542,10 @@ inline bool ParameterServer<T>::ReadyForUpdateWeights() {
template <typename T>
inline bool ParameterServer<T>::ReadyForAccumGrads() {
if (weights_.empty()) {
MS_LOG(EXCEPTION) << "The weights in server is empty. Many reasons could cause this: 1.The Worker didn't send "
"kInitWeightsCmd command. 2.The Server failed to initialize weights.";
}
return grad_accum_count_ < weights_.size();
}

12
mindspore/ccsrc/frontend/parallel/ps/worker.h
View File

@ -47,7 +47,8 @@ class Worker {
void SetOptimInputShapes(size_t key, const std::vector<int> &shape);
void AddEmbeddingTable(const ::ps::Key &key, const size_t &row_count);
void InitPSEmbeddingTable(const std::vector<size_t> &keys, std::vector<size_t> shapes, const std::vector<int> &sizes);
void InitPSParamAndOptim(const std::string &param_name, void *param_data, size_t param_size);
void InitPSParamAndOptim(const std::string &param_name, void *param_data, size_t param_size,
bool init_in_server = false);
void DoPSEmbeddingLookup(const ::ps::SArray<::ps::Key> &keys, const ::ps::SArray<int> &lookup_ids,
const ::ps::SArray<int> &lens, ::ps::SArray<T> *lookup_result, int cmd);
void Finalize();
@ -240,7 +241,8 @@ void Worker<T>::InitPSEmbeddingTable(const std::vector<size_t> &keys, std::vecto
template <typename T>
// Initialize parameters and optimizer kernels of Parameter Server.
void Worker<T>::InitPSParamAndOptim(const std::string &param_name, void *param_data, size_t param_size) {
void Worker<T>::InitPSParamAndOptim(const std::string &param_name, void *param_data, size_t param_size,
bool init_in_server) {
size_t param_key = GetParamKey(param_name);
if (param_key == kInvalidKey) {
MS_LOG(INFO) << "Parameter " << param_name << " has no key assigned.";
@ -248,9 +250,9 @@ void Worker<T>::InitPSParamAndOptim(const std::string &param_name, void *param_d
}
bool init = IsKeyInit(param_key);
if (!init) {
MS_LOG(INFO) << "Init paramter and optimizer in parameter server side for " << param_name;
// No need to push embedding table data to Parameter Server.
if (param_name.find("embedding_table") == std::string::npos && param_name.find("wide_w") == std::string::npos) {
MS_LOG(INFO) << "Init paramter and optimizer in parameter server side for " << param_name
<< ", whether init in server: " << init_in_server;
if (!init_in_server) {
InitPSParamData({param_key}, param_data, param_size);
}
InitPSOptimId(param_key);