Compute gradients for a FakeQuantWithMinMaxArgs operation.
Nested Classes
class | FakeQuantWithMinMaxArgsGradient.Options | Optional attributes for FakeQuantWithMinMaxArgsGradient
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Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<TFloat32> |
asOutput()
Returns the symbolic handle of the tensor.
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Output<TFloat32> |
backprops()
Backpropagated gradients below the FakeQuantWithMinMaxArgs operation:
`gradients * (inputs >= min && inputs <= max)`.
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static FakeQuantWithMinMaxArgsGradient | |
static FakeQuantWithMinMaxArgsGradient.Options |
max(Float max)
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static FakeQuantWithMinMaxArgsGradient.Options |
min(Float min)
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static FakeQuantWithMinMaxArgsGradient.Options |
narrowRange(Boolean narrowRange)
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static FakeQuantWithMinMaxArgsGradient.Options |
numBits(Long numBits)
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<TFloat32> asOutput ()
Returns the symbolic handle of the tensor.
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.
public Output<TFloat32> backprops ()
Backpropagated gradients below the FakeQuantWithMinMaxArgs operation: `gradients * (inputs >= min && inputs <= max)`.
public static FakeQuantWithMinMaxArgsGradient create (Scope scope, Operand<TFloat32> gradients, Operand<TFloat32> inputs, Options... options)
Factory method to create a class wrapping a new FakeQuantWithMinMaxArgsGradient operation.
Parameters
scope | current scope |
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gradients | Backpropagated gradients above the FakeQuantWithMinMaxArgs operation. |
inputs | Values passed as inputs to the FakeQuantWithMinMaxArgs operation. |
options | carries optional attributes values |
Returns
- a new instance of FakeQuantWithMinMaxArgsGradient