/usr/local/lib64/python3.6/site-packages/torch/include/caffe2/core
NameSizeModeActions
allocator.h1360644editdlrm
blob.h41680644editdlrm
blob_serialization.h107910644editdlrm
blob_serializer_base.h39050644editdlrm
blob_stats.h11270644editdlrm
common.h43290644editdlrm
common_cudnn.h98930644editdlrm
common_gpu.h214140644editdlrm
common_omp.h1560644editdlrm
context.h61740644editdlrm
context_base.h43820644editdlrm
context_gpu.h110140644editdlrm
cudnn_wrappers.h69560644editdlrm
db.h93520644editdlrm
distributions_stubs.h21610644editdlrm
event.h124200644editdlrm
event_cpu.h11920644editdlrm
export_c10_op_to_caffe2.h94870644editdlrm
export_caffe2_op_to_c10.h111010644editdlrm
flags.h740644editdlrm
graph.h52580644editdlrm
init.h64960644editdlrm
logging.h750644editdlrm
macros.h34260644editdlrm
memonger.h8170644editdlrm
module.h24730644editdlrm
net.h46340644editdlrm
net_async_base.h73970644editdlrm
net_async_scheduling.h9930644editdlrm
net_async_task.h8330644editdlrm
net_async_task_future.h19250644editdlrm
net_async_task_graph.h22530644editdlrm
net_async_tracing.h50930644editdlrm
net_dag_utils.h21460644editdlrm
net_parallel.h21440644editdlrm
net_simple.h26060644editdlrm
net_simple_refcount.h20970644editdlrm
numa.h720644editdlrm
observer.h38090644editdlrm
operator.h588720644editdlrm
operator_gradient.h102220644editdlrm
operator_schema.h184770644editdlrm
plan_executor.h2190644editdlrm
prof_dag_counters.h27510644editdlrm
qtensor.h66150644editdlrm
qtensor_serialization.h26240644editdlrm
scope_guard.h46750644editdlrm
static_tracepoint.h3980644editdlrm
static_tracepoint_elfx86.h55550644editdlrm
stats.h103650644editdlrm
storage.h7330644editdlrm
tensor.h186680644editdlrm
tensor_impl.h3510644editdlrm
tensor_int8.h4500644editdlrm
test_utils.h62850644editdlrm
timer.h12180644editdlrm
transform.h57410644editdlrm
types.h22480644editdlrm
workspace.h113050644editdlrm
Edit: /usr/local/lib64/python3.6/site-packages/torch/include/caffe2/core/net_simple_refcount.h (2097B)
#ifndef CAFFE2_CORE_NET_SIMPLE_REFCOUNT_H_ #define CAFFE2_CORE_NET_SIMPLE_REFCOUNT_H_ #include #include "c10/util/Registry.h" #include "caffe2/core/common.h" #include "caffe2/core/logging.h" #include "caffe2/core/net.h" #include "caffe2/core/net_simple.h" #include "caffe2/core/tensor.h" #include "caffe2/core/workspace.h" #include "caffe2/proto/caffe2_pb.h" namespace caffe2 { // SimpleRefcountNet is an implementation that adds an additional abstraction // on top of SimpleRefCountNet: it tracks all the tensors and for those that are // considered internal/temporary, delete them once their refcount go to zero. // In the context of a simple static run, this can be carried out during // construction time: we will do a pass through the network and track what // blobs we need to do reset on, after the execution of every op. // // To identify which blob is considered temporary, we employ the following // strategy: any blob that is // (1) consumed but not produced by ops in the net, or // (2) produced but not consumed by ops in the net, or // (3) is marked as external_output in the protobuf // will NOT be considered temporary. // // In the long run, we should design proper functional interfaces so that // nets are less imperative and more functional. // // Also, for now, SimpleRefCountNet should only be used for benchmarking // purposes and not product use, since it is not going to provide better // performance gain, and is implicitly incompatible with the contract that // earlier Nets expose - that all intermediate blobs are visible to the users. class SimpleRefCountNet final : public SimpleNet { public: SimpleRefCountNet( const std::shared_ptr& net_def, Workspace* ws); protected: bool Run() override; using SimpleNet::operators_; private: // The list of blobs to delete when each operator finishes its run. // This will be populated during construction time. vector> delete_list_; C10_DISABLE_COPY_AND_ASSIGN(SimpleRefCountNet); }; } // namespace caffe2 #endif // CAFFE2_CORE_NET_SIMPLE_REFCOUNT_H_