tf.keras.backend.in_test_phase
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Selects x
in test phase, and alt
otherwise.
tf.keras.backend.in_test_phase(
x, alt, training=None
)
Note that alt
should have the same shape as x
.
Arguments |
x
|
What to return in test phase
(tensor or callable that returns a tensor).
|
alt
|
What to return otherwise
(tensor or callable that returns a tensor).
|
training
|
Optional scalar tensor
(or Python boolean, or Python integer)
specifying the learning phase.
|
Returns |
Either x or alt based on K.learning_phase .
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.keras.backend.in_test_phase\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 1 version](/versions/r1.15/api_docs/python/tf/keras/backend/in_test_phase) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.0.0/tensorflow/python/keras/backend.py#L4289-L4307) |\n\nSelects `x` in test phase, and `alt` otherwise.\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.keras.backend.in_test_phase`](/api_docs/python/tf/keras/backend/in_test_phase)\n\n\u003cbr /\u003e\n\n tf.keras.backend.in_test_phase(\n x, alt, training=None\n )\n\nNote that `alt` should have the *same shape* as `x`.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Arguments --------- ||\n|------------|----------------------------------------------------------------------------------------------|\n| `x` | What to return in test phase (tensor or callable that returns a tensor). |\n| `alt` | What to return otherwise (tensor or callable that returns a tensor). |\n| `training` | Optional scalar tensor (or Python boolean, or Python integer) specifying the learning phase. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| Either `x` or `alt` based on `K.learning_phase`. ||\n\n\u003cbr /\u003e"]]