forked from horovod/horovod
/
common.cc
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/
common.cc
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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.
// =============================================================================
#include <sstream>
#include <assert.h>
#include "common.h"
namespace horovod {
namespace common {
Status::Status() {
}
Status::Status(StatusType type, std::string reason) {
type_ = type;
reason_ = reason;
}
Status Status::OK() {
return Status();
}
Status Status::UnknownError(std::string message) {
return Status(StatusType::UNKNOWN_ERROR, message);
}
Status Status::PreconditionError(std::string message) {
return Status(StatusType::PRECONDITION_ERROR, message);
}
Status Status::Aborted(std::string message) {
return Status(StatusType::ABORTED, message);
}
bool Status::ok() const {
return type_ == StatusType::OK;
}
StatusType Status::type() const {
return type_;
}
const std::string& Status::reason() const {
return reason_;
}
void TensorShape::AddDim(int64_t dim) {
shape_.push_back(dim);
}
void TensorShape::AppendShape(TensorShape& other) {
for (auto dim : other.shape_) {
shape_.push_back(dim);
}
}
const std::string TensorShape::DebugString() const {
std::stringstream args;
args << "[";
for (auto it = shape_.begin(); it != shape_.end(); it++) {
if (it != shape_.begin()) {
args << ", ";
}
args << *it;
}
args << "]";
return args.str();
}
int TensorShape::dims() const {
return (int)shape_.size();
}
int64_t TensorShape::dim_size(int idx) const {
assert(idx >= 0);
assert(idx < shape_.size());
return shape_[idx];
}
int64_t TensorShape::num_elements() const {
int64_t result = 1;
for (auto dim : shape_) {
result *= dim;
}
return result;
}
} // namespace common
} // namespace horovod