Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
TensorArrayGradWithShape
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Creates a TensorArray for storing multiple gradients of values in the given handle.
Similar to TensorArrayGradV3. However it creates an accumulator with an
expanded shape compared to the input TensorArray whose gradient is being
computed. This enables multiple gradients for the same TensorArray to be
calculated using the same accumulator.
Inherited Methods
From class
java.lang.Object
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boolean
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equals(Object arg0)
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final
Class<?>
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getClass()
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int
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hashCode()
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final
void
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notify()
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final
void
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notifyAll()
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String
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toString()
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final
void
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wait(long arg0, int arg1)
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final
void
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wait(long arg0)
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final
void
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wait()
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Public Methods
Factory method to create a class wrapping a new TensorArrayGradWithShape operation.
Parameters
| scope |
current scope |
| handle |
The handle to the forward TensorArray. |
| flowIn |
A float scalar that enforces proper chaining of operations. |
| shapeToPrepend |
An int32 vector representing a shape. Elements in the gradient accumulator will
have shape which is this shape_to_prepend value concatenated with shape of the
elements in the TensorArray corresponding to the input handle. |
| source |
The gradient source string, used to decide which gradient TensorArray
to return. |
Returns
- a new instance of TensorArrayGradWithShape
public
Output<Float>
flowOut
()
public
Output<?>
gradHandle
()
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Last updated 2022-02-12 UTC.
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