tf.contrib.copy_graph.copy_op_to_graph
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Returns a copy of an operation from another Graph under a specified scope.
tf.contrib.copy_graph.copy_op_to_graph(
org_instance, to_graph, variables, scope=''
)
Given an Operation org_instance from one Graph,
initializes and returns a copy of it from another Graph,
under the specified scope (default "").
The copying is done recursively, so any Operation whose output
is required to evaluate the org_instance, is also copied (unless
already done).
Since Variable instances are copied separately, those required
to evaluate org_instance must be provided as input.
Args |
|---|
org_instance
|
An Operation from some Graph. Could be a
Placeholder as well.
|
to_graph
|
The Graph to copy org_instance to.
|
variables
|
An iterable of Variable instances to copy org_instance to.
|
scope
|
A scope for the new Variable (default "").
|
Returns |
|---|
The copied Operation from to_graph.
|
Raises |
|---|
TypeError
|
If org_instance is not an Operation or Tensor.
|
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Last updated 2020-10-01 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[],null,["# tf.contrib.copy_graph.copy_op_to_graph\n\n\u003cbr /\u003e\n\n|-----------------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/contrib/copy_graph/python/util/copy_elements.py#L101-L230) |\n\nReturns a copy of an operation from another Graph under a specified scope. \n\n tf.contrib.copy_graph.copy_op_to_graph(\n org_instance, to_graph, variables, scope=''\n )\n\nGiven an `Operation` `org_instance` from one `Graph`,\ninitializes and returns a copy of it from another `Graph`,\nunder the specified scope (default `\"\"`).\n\nThe copying is done recursively, so any `Operation` whose output\nis required to evaluate the `org_instance`, is also copied (unless\nalready done).\n\nSince `Variable` instances are copied separately, those required\nto evaluate `org_instance` must be provided as input.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|----------------|---------------------------------------------------------------------|\n| `org_instance` | An `Operation` from some `Graph`. Could be a `Placeholder` as well. |\n| `to_graph` | The `Graph` to copy `org_instance` to. |\n| `variables` | An iterable of `Variable` instances to copy `org_instance` to. |\n| `scope` | A scope for the new `Variable` (default `\"\"`). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| The copied `Operation` from `to_graph`. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|-------------|------------------------------------------------------|\n| `TypeError` | If `org_instance` is not an `Operation` or `Tensor`. |\n\n\u003cbr /\u003e"]]
View source on GitHub