tensorflow::
    
   ops::
    
   RecordInput
  
  
   #include <data_flow_ops.h>
  
  Emits randomized records.
Summary
Args:
- scope: A Scope object
 - file_pattern: Glob pattern for the data files.
 
   Optional attributes (see
   
    
     Attrs
    
   
   ):
   
- file_random_seed: Random seeds used to produce randomized records.
 - file_shuffle_shift_ratio: Shifts the list of files after the list is randomly shuffled.
 - file_buffer_size: The randomization shuffling buffer.
 - file_parallelism: How many sstables are opened and concurrently iterated over.
 - batch_size: The batch size.
 - compression_type: The type of compression for the file. Currently ZLIB and GZIP are supported. Defaults to none.
 
Returns:
- 
     
Output: A tensor of shape [batch_size]. 
     Constructors and Destructors | 
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       RecordInput
      
      (const ::
      
       tensorflow::Scope
      
      & scope, StringPiece file_pattern)
     
      | 
   |
     
      
       RecordInput
      
      (const ::
      
       tensorflow::Scope
      
      & scope, StringPiece file_pattern, const
      
       RecordInput::Attrs
      
      & attrs)
     
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     Public attributes | 
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       operation
      
     
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       records
      
     
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     Public functions | 
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       node
      
      () const
     
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       ::tensorflow::Node *
      
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       operator::tensorflow::Input
      
      () const
     
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       operator::tensorflow::Output
      
      () const
     
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     Public static functions | 
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       BatchSize
      
      (int64 x)
     
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       CompressionType
      
      (StringPiece x)
     
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       FileBufferSize
      
      (int64 x)
     
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       FileParallelism
      
      (int64 x)
     
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       FileRandomSeed
      
      (int64 x)
     
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       FileShuffleShiftRatio
      
      (float x)
     
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     Structs | 
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|---|---|
| 
     
      tensorflow::
       | 
    
      Optional attribute setters for RecordInput .  | 
   
Public attributes
Public functions
RecordInput
RecordInput( const ::tensorflow::Scope & scope, StringPiece file_pattern, const RecordInput::Attrs & attrs )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const