tf.contrib.layers.flatten
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Flattens the input while maintaining the batch_size.
tf.contrib.layers.flatten(
inputs, outputs_collections=None, scope=None
)
Assumes that the first dimension represents the batch.
Args |
inputs
|
A tensor of size [batch_size, ...].
|
outputs_collections
|
Collection to add the outputs.
|
scope
|
Optional scope for name_scope.
|
Returns |
A flattened tensor with shape [batch_size, k].
|
Raises |
ValueError
|
If inputs rank is unknown or less than 2.
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.contrib.layers.flatten\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/contrib/layers/python/layers/layers.py#L1616-L1635) |\n\nFlattens the input while maintaining the batch_size. \n\n tf.contrib.layers.flatten(\n inputs, outputs_collections=None, scope=None\n )\n\nAssumes that the first dimension represents the batch.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-----------------------|---------------------------------------|\n| `inputs` | A tensor of size \\[batch_size, ...\\]. |\n| `outputs_collections` | Collection to add the outputs. |\n| `scope` | Optional scope for name_scope. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A flattened tensor with shape \\[batch_size, k\\]. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|--------------|-------------------------------------------|\n| `ValueError` | If inputs rank is unknown or less than 2. |\n\n\u003cbr /\u003e"]]