tf.raw_ops.PreventGradient
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An identity op that triggers an error if a gradient is requested.
tf.raw_ops.PreventGradient(
input, message='', name=None
)
When executed in a graph, this op outputs its input tensor as-is.
When building ops to compute gradients, the TensorFlow gradient system
will return an error when trying to lookup the gradient of this op,
because no gradient must ever be registered for this function. This
op exists to prevent subtle bugs from silently returning unimplemented
gradients in some corner cases.
Args |
|---|
input
|
A Tensor. any tensor.
|
message
|
An optional string. Defaults to "".
Will be printed in the error when anyone tries to differentiate
this operation.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor. Has the same type as input.
|
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tf.raw_ops.PreventGradient\n\n\u003cbr /\u003e\n\nAn identity op that triggers an error if a gradient is requested.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.raw_ops.PreventGradient`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/PreventGradient)\n\n\u003cbr /\u003e\n\n tf.raw_ops.PreventGradient(\n input, message='', name=None\n )\n\nWhen executed in a graph, this op outputs its input tensor as-is.\n\nWhen building ops to compute gradients, the TensorFlow gradient system\nwill return an error when trying to lookup the gradient of this op,\nbecause no gradient must ever be registered for this function. This\nop exists to prevent subtle bugs from silently returning unimplemented\ngradients in some corner cases.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-----------|-------------------------------------------------------------------------------------------------------------------------|\n| `input` | A `Tensor`. any tensor. |\n| `message` | An optional `string`. Defaults to `\"\"`. Will be printed in the error when anyone tries to differentiate this operation. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor`. Has the same type as `input`. ||\n\n\u003cbr /\u003e"]]
