tf.keras.backend.batch_flatten
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Turn a nD tensor into a 2D tensor with same 0th dimension.
tf.keras.backend.batch_flatten(
x
)
In other words, it flattens each data samples of a batch.
Arguments |
|---|
x
|
A tensor or variable.
|
Examples:
Flattening a 3D tensor to 2D by collapsing the last dimension.
from tensorflow.keras import backend as K
x_batch = K.ones(shape=(2, 3, 4, 5))
x_batch_flatten = K.batch_flatten(x_batch)
K.int_shape(x_batch_flatten)
(2, 60)
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.keras.backend.batch_flatten\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 2 version](/api_docs/python/tf/keras/backend/batch_flatten) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/keras/backend.py#L2928-L2952) |\n\nTurn a nD tensor into a 2D tensor with same 0th dimension.\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.batch_flatten`](/api_docs/python/tf/keras/backend/batch_flatten), \\`tf.compat.v2.keras.backend.batch_flatten\\`\n\n\u003cbr /\u003e\n\n tf.keras.backend.batch_flatten(\n x\n )\n\nIn other words, it flattens each data samples of a batch.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Arguments --------- ||\n|-----|-----------------------|\n| `x` | A tensor or variable. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A tensor. ||\n\n\u003cbr /\u003e\n\n#### Examples:\n\nFlattening a 3D tensor to 2D by collapsing the last dimension. \n\n from tensorflow.keras import backend as K\n x_batch = K.ones(shape=(2, 3, 4, 5))\n x_batch_flatten = K.batch_flatten(x_batch)\n K.int_shape(x_batch_flatten)\n (2, 60)"]]
TensorFlow 2 version
View source on GitHub