67 lines
2.1 KiB
C++
67 lines
2.1 KiB
C++
/* Copyright 2015 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#ifndef TENSORFLOW_CORE_UTIL_UTIL_H_
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#define TENSORFLOW_CORE_UTIL_UTIL_H_
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#include "tensorflow/core/framework/tensor_shape.h"
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#include "tensorflow/core/lib/core/stringpiece.h"
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namespace tensorflow {
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// If op_name has '/' in it, then return everything before the first '/'.
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// Otherwise return empty string.
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StringPiece NodeNamePrefix(const StringPiece& op_name);
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// If op_name has '/' in it, then return everything before the last '/'.
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// Otherwise return empty string.
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StringPiece NodeNameFullPrefix(const StringPiece& op_name);
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class MovingAverage {
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public:
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explicit MovingAverage(int window);
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~MovingAverage();
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void Clear();
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double GetAverage() const;
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void AddValue(double v);
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private:
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const int window_; // Max size of interval
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double sum_; // Sum over interval
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double* data_; // Actual data values
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int head_; // Offset of the newest statistic in data_
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int count_; // # of valid data elements in window
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};
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// Returns a string printing bytes in ptr[0..n). The output looks
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// like "00 01 ef cd cd ef".
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std::string PrintMemory(const char* ptr, size_t n);
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// Given a flattened index into a tensor, computes a string s so that
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// StrAppend("tensor", s) is a Python indexing expression. E.g.,
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// "tensor", "tensor[i]", "tensor[i, j]", etc.
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std::string SliceDebugString(const TensorShape& shape, const int64 flat);
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// disable MKL in runtime
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#ifdef INTEL_MKL
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bool DisableMKL();
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#endif // INTEL_MKL
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} // namespace tensorflow
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#endif // TENSORFLOW_CORE_UTIL_UTIL_H_
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