public final class
QuantizedConv2d
Computes a 2D convolution given quantized 4D input and filter tensors.
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.
Nested Classes
| class | QuantizedConv2d.Options | Optional attributes for QuantizedConv2d
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Constants
| String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
| static <V extends TType> QuantizedConv2d<V> |
create(Scope scope, Operand<? extends TType> input, Operand<? extends TType> filter, Operand<TFloat32> minInput, Operand<TFloat32> maxInput, Operand<TFloat32> minFilter, Operand<TFloat32> maxFilter, Class<V> outType, List<Long> strides, String padding, Options... options)
Factory method to create a class wrapping a new QuantizedConv2d operation.
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| static QuantizedConv2d.Options |
dilations(List<Long> dilations)
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| Output<TFloat32> |
maxOutput()
The float value that the highest quantized output value represents.
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| Output<TFloat32> |
minOutput()
The float value that the lowest quantized output value represents.
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| Output<V> |
output()
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"QuantizedConv2D"
Public Methods
public static QuantizedConv2d<V> create (Scope scope, Operand<? extends TType> input, Operand<? extends TType> filter, Operand<TFloat32> minInput, Operand<TFloat32> maxInput, Operand<TFloat32> minFilter, Operand<TFloat32> maxFilter, Class<V> outType, List<Long> strides, String padding, Options... options)
Factory method to create a class wrapping a new QuantizedConv2d operation.
Parameters
| scope | current scope |
|---|---|
| filter | filter's input_depth dimension must match input's depth dimensions. |
| minInput | The float value that the lowest quantized input value represents. |
| maxInput | The float value that the highest quantized input value represents. |
| minFilter | The float value that the lowest quantized filter value represents. |
| maxFilter | 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. |
| options | carries optional attributes values |
Returns
- a new instance of QuantizedConv2d
public static QuantizedConv2d.Options dilations (List<Long> dilations)
Parameters
| dilations | 1-D tensor of length 4. The dilation factor for each dimension of `input`. If set to k > 1, there will be k-1 skipped cells between each filter element on that dimension. The dimension order is determined by the value of `data_format`, see above for details. Dilations in the batch and depth dimensions must be 1. |
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public Output<TFloat32> maxOutput ()
The float value that the highest quantized output value represents.
public Output<TFloat32> minOutput ()
The float value that the lowest quantized output value represents.