tensorflow::ops::QuantizedConv2D
tensorflow::ops::QuantizedConv2D
#include <nn_ops.h>
Computes a 2D convolution given quantized 4D input and filter tensors.
Summary
The inputs are quantized tensors where the lowest value represents the real number of the associated minimum, and the highest represents the maximum. This means that you can only interpret the quantized output in the same way, by taking the returned minimum and maximum values into account.
Arguments:
- scope: A Scope object
- filter: filter's input_depth dimension must match input's depth dimensions.
- min_input: The float value that the lowest quantized input value represents.
- max_input: The float value that the highest quantized input value represents.
- min_filter: The float value that the lowest quantized filter value represents.
- max_filter: The float value that the highest quantized filter value represents.
- strides: The stride of the sliding window for each dimension of the input tensor.
- padding: The type of padding algorithm to use.
Returns:
-
Output
output -
Output
min_output: The float value that the lowest quantized output value represents. -
Output
max_output: The float value that the highest quantized output value represents.
Constructors and Destructors | |
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QuantizedConv2D(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input filter, ::tensorflow::Input min_input, ::tensorflow::Input max_input, ::tensorflow::Input min_filter, ::tensorflow::Input max_filter, const gtl::ArraySlice< int > & strides, StringPiece padding) | |
QuantizedConv2D(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input filter, ::tensorflow::Input min_input, ::tensorflow::Input max_input, ::tensorflow::Input min_filter, ::tensorflow::Input max_filter, const gtl::ArraySlice< int > & strides, StringPiece padding, const QuantizedConv2D::Attrs & attrs) |
Public attributes | |
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max_output | |
min_output | |
output |
Public static functions | |
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OutType(DataType x) |
Structs | |
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tensorflow::ops::QuantizedConv2D::Attrs | Optional attribute setters for QuantizedConv2D. |
Public attributes
max_output
::tensorflow::Output max_output
min_output
::tensorflow::Output min_output
output
::tensorflow::Output output
Public functions
QuantizedConv2D
QuantizedConv2D( const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input filter, ::tensorflow::Input min_input, ::tensorflow::Input max_input, ::tensorflow::Input min_filter, ::tensorflow::Input max_filter, const gtl::ArraySlice< int > & strides, StringPiece padding )
QuantizedConv2D
QuantizedConv2D( const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input filter, ::tensorflow::Input min_input, ::tensorflow::Input max_input, ::tensorflow::Input min_filter, ::tensorflow::Input max_filter, const gtl::ArraySlice< int > & strides, StringPiece padding, const QuantizedConv2D::Attrs & attrs )
Public static functions
OutType
Attrs OutType( DataType x )
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/quantized-conv2-d.html