FM / core

/usr/local/lib64/python3.6/site-packages/torch/include/caffe2/core/

/usr/local/lib64/python3.6/site-packages/torch/include/caffe2/core

Name	Size	Mode	Actions
allocator.h	136	0644	edit dl rm
blob.h	4168	0644	edit dl rm
blob_serialization.h	10791	0644	edit dl rm
blob_serializer_base.h	3905	0644	edit dl rm
blob_stats.h	1127	0644	edit dl rm
common.h	4329	0644	edit dl rm
common_cudnn.h	9893	0644	edit dl rm
common_gpu.h	21414	0644	edit dl rm
common_omp.h	156	0644	edit dl rm
context.h	6174	0644	edit dl rm
context_base.h	4382	0644	edit dl rm
context_gpu.h	11014	0644	edit dl rm
cudnn_wrappers.h	6956	0644	edit dl rm
db.h	9352	0644	edit dl rm
distributions_stubs.h	2161	0644	edit dl rm
event.h	12420	0644	edit dl rm
event_cpu.h	1192	0644	edit dl rm
export_c10_op_to_caffe2.h	9487	0644	edit dl rm
export_caffe2_op_to_c10.h	11101	0644	edit dl rm
flags.h	74	0644	edit dl rm
graph.h	5258	0644	edit dl rm
init.h	6496	0644	edit dl rm
logging.h	75	0644	edit dl rm
macros.h	3426	0644	edit dl rm
memonger.h	817	0644	edit dl rm
module.h	2473	0644	edit dl rm
net.h	4634	0644	edit dl rm
net_async_base.h	7397	0644	edit dl rm
net_async_scheduling.h	993	0644	edit dl rm
net_async_task.h	833	0644	edit dl rm
net_async_task_future.h	1925	0644	edit dl rm
net_async_task_graph.h	2253	0644	edit dl rm
net_async_tracing.h	5093	0644	edit dl rm
net_dag_utils.h	2146	0644	edit dl rm
net_parallel.h	2144	0644	edit dl rm
net_simple.h	2606	0644	edit dl rm
net_simple_refcount.h	2097	0644	edit dl rm
numa.h	72	0644	edit dl rm
observer.h	3809	0644	edit dl rm
operator.h	58872	0644	edit dl rm
operator_gradient.h	10222	0644	edit dl rm
operator_schema.h	18477	0644	edit dl rm
plan_executor.h	219	0644	edit dl rm
prof_dag_counters.h	2751	0644	edit dl rm
qtensor.h	6615	0644	edit dl rm
qtensor_serialization.h	2624	0644	edit dl rm
scope_guard.h	4675	0644	edit dl rm
static_tracepoint.h	398	0644	edit dl rm
static_tracepoint_elfx86.h	5555	0644	edit dl rm
stats.h	10365	0644	edit dl rm
storage.h	733	0644	edit dl rm
tensor.h	18668	0644	edit dl rm
tensor_impl.h	351	0644	edit dl rm
tensor_int8.h	450	0644	edit dl rm
test_utils.h	6285	0644	edit dl rm
timer.h	1218	0644	edit dl rm
transform.h	5741	0644	edit dl rm
types.h	2248	0644	edit dl rm
workspace.h	11305	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/torch/include/caffe2/core/blob_serializer_base.h (3905B)

#pragma once

#include <string>
#include <functional>

#include <c10/util/Registry.h>
#include <c10/util/string_view.h>
#include "caffe2/core/common.h"
#include "caffe2/proto/caffe2_pb.h"

namespace caffe2 {

class Blob;

// Constants for use in the BlobSerializationOptions chunk_size field.
// These should ideally be defined in caffe2.proto so they can be exposed across
// languages, but protobuf does not appear to allow defining constants.
constexpr int kDefaultChunkSize = 0;
constexpr int kNoChunking = -1;

/**
 * @brief BlobSerializerBase is an abstract class that serializes a blob to a
 * string.
 *
 * This class exists purely for the purpose of registering type-specific
 * serialization code. If you need to serialize a specific type, you should
 * write your own Serializer class, and then register it using
 * REGISTER_BLOB_SERIALIZER. For a detailed example, see TensorSerializer for
 * details.
 */
class BlobSerializerBase {
 public:
  virtual ~BlobSerializerBase() {}
  using SerializationAcceptor =
     std::function<void(const std::string& blobName, std::string&& data)>;
  /**
   * @brief The virtual function that returns a serialized string for the input
   * blob.
   * @param blob
   *     the input blob to be serialized.
   * @param name
   *     the blob name to be used in the serialization implementation. It is up
   *     to the implementation whether this name field is going to be used or
   *     not.
   * @param acceptor
   *     a lambda which accepts key value pairs to save them to storage.
   *     serailizer can use it to save blob in several chunks
   *     acceptor should be thread-safe
   */
  virtual void Serialize(
      const void* pointer,
      TypeMeta typeMeta,
      const std::string& name,
      SerializationAcceptor acceptor) = 0;

virtual void SerializeWithOptions(
      const void* pointer,
      TypeMeta typeMeta,
      const std::string& name,
      SerializationAcceptor acceptor,
      const BlobSerializationOptions& /*options*/) {
    // Base implementation.
    Serialize(pointer, typeMeta, name, acceptor);
  }

virtual size_t EstimateSerializedBlobSize(
      const void* /*pointer*/,
      TypeMeta /*typeMeta*/,
      c10::string_view /*name*/,
      const BlobSerializationOptions& /*options*/) {
    // Base implementation.
    // This returns 0 just to allow us to roll this out without needing to
    // define an implementation for all serializer types.  Returning a size of 0
    // for less-commonly used blob types is acceptable for now.  Eventually it
    // would be nice to ensure that this method is implemented for all
    // serializers and then make this method virtual.
    return 0;
  }
};

// The Blob serialization registry and serializer creator functions.
C10_DECLARE_TYPED_REGISTRY(
    BlobSerializerRegistry,
    TypeIdentifier,
    BlobSerializerBase,
    std::unique_ptr);
#define REGISTER_BLOB_SERIALIZER(id, ...) \
  C10_REGISTER_TYPED_CLASS(BlobSerializerRegistry, id, __VA_ARGS__)
// Creates an operator with the given operator definition.
inline unique_ptr<BlobSerializerBase> CreateSerializer(TypeIdentifier id) {
  return BlobSerializerRegistry()->Create(id);
}

/**
 * @brief BlobDeserializerBase is an abstract class that deserializes a blob
 * from a BlobProto or a TensorProto.
 */
class TORCH_API BlobDeserializerBase {
 public:
  virtual ~BlobDeserializerBase() {}

// Deserializes from a BlobProto object.
  virtual void Deserialize(const BlobProto& proto, Blob* blob) = 0;
};

C10_DECLARE_REGISTRY(BlobDeserializerRegistry, BlobDeserializerBase);
#define REGISTER_BLOB_DESERIALIZER(name, ...) \
  C10_REGISTER_CLASS(BlobDeserializerRegistry, name, __VA_ARGS__)
// Creates an operator with the given operator definition.
inline unique_ptr<BlobDeserializerBase> CreateDeserializer(const string& type) {
  return BlobDeserializerRegistry()->Create(type);
}

} // namespace caffe2

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