forked from mindspore-Ecosystem/mindspore
Delete parameter name hard code.
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26de81a2df
commit
8943cdbc13
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@ -1194,6 +1194,7 @@ void SessionBasic::InitPSParamAndOptim(const KernelGraphPtr &kernel_graph,
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}
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}
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auto ms_context = MsContext::GetInstance();
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auto ms_context = MsContext::GetInstance();
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MS_EXCEPTION_IF_NULL(ms_context);
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MS_EXCEPTION_IF_NULL(ms_context);
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std::vector<int> shape_init_in_server = {1};
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for (size_t i = 0; i < inputs.size(); ++i) {
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for (size_t i = 0; i < inputs.size(); ++i) {
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auto tensor = inputs[i];
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auto tensor = inputs[i];
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MS_EXCEPTION_IF_NULL(tensor);
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MS_EXCEPTION_IF_NULL(tensor);
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@ -1201,8 +1202,13 @@ void SessionBasic::InitPSParamAndOptim(const KernelGraphPtr &kernel_graph,
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MS_EXCEPTION_IF_NULL(input_node);
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MS_EXCEPTION_IF_NULL(input_node);
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if (input_node->isa<Parameter>() && AnfAlgo::OutputAddrExist(input_node, 0)) {
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if (input_node->isa<Parameter>() && AnfAlgo::OutputAddrExist(input_node, 0)) {
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auto pk_node = input_node->cast<ParameterPtr>();
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auto pk_node = input_node->cast<ParameterPtr>();
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bool init_in_server = false;
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if (tensor->shape_c() == shape_init_in_server) {
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MS_LOG(INFO) << "The param need to be initialized in server " << pk_node->fullname_with_scope();
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init_in_server = true;
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}
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mindspore::parallel::ps::Worker<float>::GetInstance().InitPSParamAndOptim(
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mindspore::parallel::ps::Worker<float>::GetInstance().InitPSParamAndOptim(
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pk_node->fullname_with_scope(), tensor->data_c(), LongToSize(tensor->data().nbytes()));
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pk_node->fullname_with_scope(), tensor->data_c(), LongToSize(tensor->data().nbytes()), init_in_server);
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}
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}
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}
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}
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ps_init_ = true;
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ps_init_ = true;
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@ -530,6 +530,10 @@ inline bool ParameterServer<T>::ReadyForUpdateWeights() {
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template <typename T>
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template <typename T>
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inline bool ParameterServer<T>::ReadyForAccumGrads() {
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inline bool ParameterServer<T>::ReadyForAccumGrads() {
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if (weights_.empty()) {
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MS_LOG(EXCEPTION) << "The weights in server is empty. Many reasons could cause this: 1.The Worker didn't send "
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"kInitWeightsCmd command. 2.The Server failed to initialize weights.";
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}
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return grad_accum_count_ < weights_.size();
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return grad_accum_count_ < weights_.size();
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}
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}
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@ -47,7 +47,8 @@ class Worker {
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void SetOptimInputShapes(size_t key, const std::vector<int> &shape);
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void SetOptimInputShapes(size_t key, const std::vector<int> &shape);
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void AddEmbeddingTable(const ::ps::Key &key, const size_t &row_count);
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void AddEmbeddingTable(const ::ps::Key &key, const size_t &row_count);
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void InitPSEmbeddingTable(const std::vector<size_t> &keys, std::vector<size_t> shapes, const std::vector<int> &sizes);
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void InitPSEmbeddingTable(const std::vector<size_t> &keys, std::vector<size_t> shapes, const std::vector<int> &sizes);
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void InitPSParamAndOptim(const std::string ¶m_name, void *param_data, size_t param_size);
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void InitPSParamAndOptim(const std::string ¶m_name, void *param_data, size_t param_size,
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bool init_in_server = false);
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void DoPSEmbeddingLookup(const ::ps::SArray<::ps::Key> &keys, const ::ps::SArray<int> &lookup_ids,
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void DoPSEmbeddingLookup(const ::ps::SArray<::ps::Key> &keys, const ::ps::SArray<int> &lookup_ids,
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const ::ps::SArray<int> &lens, ::ps::SArray<T> *lookup_result, int cmd);
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const ::ps::SArray<int> &lens, ::ps::SArray<T> *lookup_result, int cmd);
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void Finalize();
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void Finalize();
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@ -237,7 +238,8 @@ void Worker<T>::InitPSEmbeddingTable(const std::vector<size_t> &keys, std::vecto
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template <typename T>
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template <typename T>
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// Initialize parameters and optimizer kernels of Parameter Server.
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// Initialize parameters and optimizer kernels of Parameter Server.
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void Worker<T>::InitPSParamAndOptim(const std::string ¶m_name, void *param_data, size_t param_size) {
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void Worker<T>::InitPSParamAndOptim(const std::string ¶m_name, void *param_data, size_t param_size,
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bool init_in_server) {
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size_t param_key = GetParamKey(param_name);
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size_t param_key = GetParamKey(param_name);
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if (param_key == kInvalidKey) {
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if (param_key == kInvalidKey) {
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MS_LOG(INFO) << "Parameter " << param_name << " has no key assigned.";
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MS_LOG(INFO) << "Parameter " << param_name << " has no key assigned.";
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@ -245,9 +247,9 @@ void Worker<T>::InitPSParamAndOptim(const std::string ¶m_name, void *param_d
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}
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}
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bool init = IsKeyInit(param_key);
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bool init = IsKeyInit(param_key);
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if (!init) {
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if (!init) {
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MS_LOG(INFO) << "Init paramter and optimizer in parameter server side for " << param_name;
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MS_LOG(INFO) << "Init paramter and optimizer in parameter server side for " << param_name
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// No need to push embedding table data to Parameter Server.
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<< ", whether init in server: " << init_in_server;
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if (param_name.find("embedding_table") == std::string::npos && param_name.find("wide_w") == std::string::npos) {
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if (!init_in_server) {
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InitPSParamData({param_key}, param_data, param_size);
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InitPSParamData({param_key}, param_data, param_size);
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}
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}
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InitPSOptimId(param_key);
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InitPSOptimId(param_key);
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