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common.h
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/
common.h
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// Copyright 2018 Uber Technologies, Inc. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// =============================================================================
#ifndef HOROVOD_COMMON_H
#define HOROVOD_COMMON_H
#include <memory>
#include <string>
#include "mpi_message.h"
namespace horovod {
namespace common {
// List of supported frameworks.
enum Framework { TENSORFLOW };
enum StatusType { OK, UNKNOWN_ERROR, PRECONDITION_ERROR, ABORTED };
class Status {
public:
Status();
static Status OK();
static Status UnknownError(std::string message);
static Status PreconditionError(std::string message);
static Status Aborted(std::string message);
bool ok() const;
StatusType type() const;
const std::string& reason() const;
private:
StatusType type_ = StatusType::OK;
std::string reason_ = "";
Status(StatusType type, std::string reason);
};
class TensorShape {
public:
void AddDim(int64_t dim);
void AppendShape(TensorShape& other);
const std::string DebugString() const;
int dims() const;
int64_t dim_size(int idx) const;
int64_t num_elements() const;
inline bool operator==(const TensorShape& rhs) const {
return shape_ == rhs.shape_;
}
inline bool operator!=(const TensorShape& rhs) const {
return shape_ != rhs.shape_;
}
private:
std::vector<int64_t> shape_;
};
class ReadyEvent {
public:
virtual bool Ready() const = 0;
virtual ~ReadyEvent(){};
};
class OpContext;
class PersistentBuffer {
public:
virtual const char* AccessData(std::shared_ptr<OpContext> context) const = 0;
virtual ~PersistentBuffer(){};
};
class Tensor {
public:
virtual const MPIDataType dtype() const = 0;
virtual const TensorShape shape() const = 0;
virtual const char* data() const = 0;
virtual int64_t size() const = 0;
virtual ~Tensor(){};
};
class OpContext {
public:
// These allocators are fully synchronous, unlike TensorFlow counterparts.
virtual Status
AllocatePersistent(int64_t size,
std::shared_ptr<PersistentBuffer>* tensor) = 0;
virtual Status AllocateOutput(TensorShape shape,
std::shared_ptr<Tensor>* tensor) = 0;
virtual Framework framework() const = 0;
virtual ~OpContext(){};
};
} // namespace common
} // namespace horovod
#endif // HOROVOD_COMMON_H