tensorflow:: ops:: Placeholder
  #include <array_ops.h>
  A placeholder op for a value that will be fed into the computation.
Summary
N.B. This operation will fail with an error if it is executed. It is intended as a way to represent a value that will always be fed, and to provide attrs that enable the fed value to be checked at runtime.
Arguments:
- scope: A Scope object
 - dtype: The type of elements in the tensor.
 
Optional attributes (see Attrs):
- shape: (Optional) The shape of the tensor. If the shape has 0 dimensions, the shape is unconstrained.
 
Returns:
Output: A placeholder tensor that must be replaced using the feed mechanism.
        Constructors and Destructors | 
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        Placeholder(const ::tensorflow::Scope & scope, DataType dtype)
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        Placeholder(const ::tensorflow::Scope & scope, DataType dtype, const Placeholder::Attrs & attrs)
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        Public attributes | 
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        operation
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        output
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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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        Shape(PartialTensorShape x)
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        Structs | 
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        tensorflow:: | 
      
         Optional attribute setters for Placeholder.  | 
    
Public attributes
operation
Operation operation
output
::tensorflow::Output output
Public functions
Placeholder
Placeholder( const ::tensorflow::Scope & scope, DataType dtype )
Placeholder
Placeholder( const ::tensorflow::Scope & scope, DataType dtype, const Placeholder::Attrs & attrs )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Public static functions
Shape
Attrs Shape( PartialTensorShape x )