提交 57557f67 编写于 作者: T tangwei12

fix scope in nce and prefetch

上级 bb2e7f0b
...@@ -102,8 +102,7 @@ static void MergeMultipleVarsIntoOneBySection( ...@@ -102,8 +102,7 @@ static void MergeMultipleVarsIntoOneBySection(
const std::string& out_name, const std::vector<std::string>& out_var_names, const std::string& out_name, const std::vector<std::string>& out_var_names,
const std::vector<int>& height_section, const std::vector<int>& height_section,
const std::vector<std::vector<int64_t>>& splited_ids, const std::vector<std::vector<int64_t>>& splited_ids,
const framework::ExecutionContext& context, const framework::ExecutionContext& context, framework::Scope* scope,
const framework::Scope& actual_scope, framework::Scope* scope,
platform::DeviceContext* actual_ctx) { platform::DeviceContext* actual_ctx) {
PADDLE_ENFORCE_EQ(out_var_names.size(), height_section.size(), ""); PADDLE_ENFORCE_EQ(out_var_names.size(), height_section.size(), "");
...@@ -115,9 +114,9 @@ static void MergeMultipleVarsIntoOneBySection( ...@@ -115,9 +114,9 @@ static void MergeMultipleVarsIntoOneBySection(
id_to_offset[ids_vector[i]].push_back(i); id_to_offset[ids_vector[i]].push_back(i);
} }
auto& id_tensor = actual_scope.FindVar(id_name)->Get<framework::LoDTensor>(); auto& id_tensor = scope.FindVar(id_name)->Get<framework::LoDTensor>();
auto* out_tensor = auto* out_tensor =
actual_scope.FindVar(out_name)->GetMutable<framework::LoDTensor>(); scope.FindVar(out_name)->GetMutable<framework::LoDTensor>();
auto* out_tensor_data = out_tensor->mutable_data<float>(id_tensor.place()); auto* out_tensor_data = out_tensor->mutable_data<float>(id_tensor.place());
bool is_on_cpu_place = true; bool is_on_cpu_place = true;
...@@ -175,7 +174,7 @@ void prefetch(const std::string& id_name, const std::string& out_name, ...@@ -175,7 +174,7 @@ void prefetch(const std::string& id_name, const std::string& out_name,
const std::vector<int>& height_sections, const std::vector<int>& height_sections,
const framework::ExecutionContext& context, const framework::ExecutionContext& context,
const framework::Scope& scope) { const framework::Scope& scope) {
auto& local_scope = context.scope().NewScope(); auto& local_scope = scope.NewScope();
platform::DeviceContextPool& pool = platform::DeviceContextPool::Instance(); platform::DeviceContextPool& pool = platform::DeviceContextPool::Instance();
auto& cpu_ctx = *pool.Get(platform::CPUPlace()); auto& cpu_ctx = *pool.Get(platform::CPUPlace());
...@@ -247,8 +246,8 @@ void prefetch(const std::string& id_name, const std::string& out_name, ...@@ -247,8 +246,8 @@ void prefetch(const std::string& id_name, const std::string& out_name,
MergeMultipleVarsIntoOneBySection(id_name, ids_vector, out_name, MergeMultipleVarsIntoOneBySection(id_name, ids_vector, out_name,
out_var_names, height_sections, splited_ids, out_var_names, height_sections, splited_ids,
context, scope, &local_scope, &actual_ctx); context, &local_scope, &actual_ctx);
context.scope().DeleteScope(&local_scope); scope.DeleteScope(&local_scope);
} }
}; // namespace distributed }; // namespace distributed
......
...@@ -170,7 +170,7 @@ class NCEKernel : public framework::OpKernel<T> { ...@@ -170,7 +170,7 @@ class NCEKernel : public framework::OpKernel<T> {
auto height_sections = context.Attr<std::vector<int>>("height_sections"); auto height_sections = context.Attr<std::vector<int>>("height_sections");
auto table_names = context.Attr<std::vector<std::string>>("table_names"); auto table_names = context.Attr<std::vector<std::string>>("table_names");
auto *ids = local_scope.Var("Ids"); auto *ids = local_scope.Var("Ids@Local");
auto *x_tensor = ids->GetMutable<framework::LoDTensor>(); auto *x_tensor = ids->GetMutable<framework::LoDTensor>();
x_tensor->mutable_data<int64_t>( x_tensor->mutable_data<int64_t>(
framework::make_ddim({static_cast<int64_t>(labels.size()), 1}), framework::make_ddim({static_cast<int64_t>(labels.size()), 1}),
...@@ -179,12 +179,10 @@ class NCEKernel : public framework::OpKernel<T> { ...@@ -179,12 +179,10 @@ class NCEKernel : public framework::OpKernel<T> {
std::memcpy(x_tensor->data<int64_t>(), labels.data(), std::memcpy(x_tensor->data<int64_t>(), labels.data(),
labels.size() * sizeof(int64_t)); labels.size() * sizeof(int64_t));
local_scope.Var("Weight@Local") local_scope.Var("Weight@Local");
->GetMutable<framework::LoDTensor>()
->mutable_data<T>(context.GetPlace());
#ifdef PADDLE_WITH_DISTRIBUTE #ifdef PADDLE_WITH_DISTRIBUTE
operators::distributed::prefetch("Ids", "Weight@Local", table_names, operators::distributed::prefetch("Ids@Local", "Weight@Local", table_names,
epmap, height_sections, context, epmap, height_sections, context,
&local_scope); &local_scope);
#else #else
...@@ -207,10 +205,7 @@ class NCEKernel : public framework::OpKernel<T> { ...@@ -207,10 +205,7 @@ class NCEKernel : public framework::OpKernel<T> {
sample_out_data[i] += result(0); sample_out_data[i] += result(0);
sample_out_data[i] = (1. / (1. + exp(-sample_out_data[i]))); sample_out_data[i] = (1. / (1. + exp(-sample_out_data[i])));
} }
context.scope().DeleteScope(&local_scope);
if (context.scope().HasKid(&local_scope)) {
context.scope().DeleteScope(&local_scope);
}
} else { } else {
auto weight_mat = auto weight_mat =
EigenMatrix<T>::From(*(context.Input<Tensor>("Weight"))); EigenMatrix<T>::From(*(context.Input<Tensor>("Weight")));
......
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