Modifier and Type | Class and Description |
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static class |
FakeQuantWithMinMaxArgsGradient.Inputs |
static class |
FakeQuantWithMinMaxArgsGradient.Options
Optional attributes for
FakeQuantWithMinMaxArgsGradient |
Modifier and Type | Field and Description |
---|---|
static String |
OP_NAME
The name of this op, as known by TensorFlow core engine
|
Constructor and Description |
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FakeQuantWithMinMaxArgsGradient(Operation operation) |
Modifier and Type | Method and Description |
---|---|
Output<TFloat32> |
asOutput()
Returns the symbolic handle of the tensor.
|
Output<TFloat32> |
backprops()
Gets backprops.
|
static FakeQuantWithMinMaxArgsGradient |
create(Scope scope,
Operand<TFloat32> gradients,
Operand<TFloat32> inputs,
FakeQuantWithMinMaxArgsGradient.Options... options)
Factory method to create a class wrapping a new FakeQuantWithMinMaxArgsGradient operation.
|
static FakeQuantWithMinMaxArgsGradient.Options |
max(Float max)
Sets the max option.
|
static FakeQuantWithMinMaxArgsGradient.Options |
min(Float min)
Sets the min option.
|
static FakeQuantWithMinMaxArgsGradient.Options |
narrowRange(Boolean narrowRange)
Sets the narrowRange option.
|
static FakeQuantWithMinMaxArgsGradient.Options |
numBits(Long numBits)
Sets the numBits option.
|
public static final String OP_NAME
public FakeQuantWithMinMaxArgsGradient(Operation operation)
@Endpoint(describeByClass=true) public static FakeQuantWithMinMaxArgsGradient create(Scope scope, Operand<TFloat32> gradients, Operand<TFloat32> inputs, FakeQuantWithMinMaxArgsGradient.Options... options)
scope
- current scopegradients
- Backpropagated gradients above the FakeQuantWithMinMaxArgs operation.inputs
- Values passed as inputs to the FakeQuantWithMinMaxArgs operation.options
- carries optional attribute valuespublic static FakeQuantWithMinMaxArgsGradient.Options min(Float min)
min
- the min optionpublic static FakeQuantWithMinMaxArgsGradient.Options max(Float max)
max
- the max optionpublic static FakeQuantWithMinMaxArgsGradient.Options numBits(Long numBits)
numBits
- the numBits optionpublic static FakeQuantWithMinMaxArgsGradient.Options narrowRange(Boolean narrowRange)
narrowRange
- the narrowRange optionpublic Output<TFloat32> backprops()
gradients * (inputs >= min && inputs <= max)
.public Output<TFloat32> asOutput()
Operand
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
asOutput
in interface Operand<TFloat32>
OperationBuilder.addInput(Output)
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