tf.nn.avg_pool1d
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Performs the average pooling on the input.
tf.nn.avg_pool1d(
input, ksize, strides, padding, data_format='NWC', name=None
)
Each entry in output is the mean of the corresponding size ksize
window in value.
Note internally this op reshapes and uses the underlying 2d operation.
Args |
|---|
input
|
A 3-D Tensor of the format specified by data_format.
|
ksize
|
An int or list of ints that has length 1 or 3. The size of the
window for each dimension of the input tensor.
|
strides
|
An int or list of ints that has length 1 or 3. The stride of
the sliding window for each dimension of the input tensor.
|
padding
|
A string, either 'VALID' or 'SAME'. The padding algorithm. See
here
for more information.
|
data_format
|
An optional string from: "NWC", "NCW". Defaults to "NWC".
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor of format specified by data_format.
The max pooled output tensor.
|
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Last updated 2023-03-17 UTC.
[null,null,["Last updated 2023-03-17 UTC."],[],[],null,["# tf.nn.avg_pool1d\n\n\u003cbr /\u003e\n\n|---------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.9.3/tensorflow/python/ops/nn_ops.py#L4587-L4631) |\n\nPerforms the average pooling on the input.\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.nn.avg_pool1d`](https://www.tensorflow.org/api_docs/python/tf/nn/avg_pool1d)\n\n\u003cbr /\u003e\n\n tf.nn.avg_pool1d(\n input, ksize, strides, padding, data_format='NWC', name=None\n )\n\nEach entry in `output` is the mean of the corresponding size `ksize`\nwindow in `value`.\n\nNote internally this op reshapes and uses the underlying 2d operation.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `input` | A 3-D `Tensor` of the format specified by `data_format`. |\n| `ksize` | An int or list of `ints` that has length `1` or `3`. The size of the window for each dimension of the input tensor. |\n| `strides` | An int or list of `ints` that has length `1` or `3`. The stride of the sliding window for each dimension of the input tensor. |\n| `padding` | A string, either `'VALID'` or `'SAME'`. The padding algorithm. See [here](https://www.tensorflow.org/api_docs/python/tf/nn#notes_on_padding_2) for more information. |\n| `data_format` | An optional string from: \"NWC\", \"NCW\". Defaults to \"NWC\". |\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` of format specified by `data_format`. The max pooled output tensor. ||\n\n\u003cbr /\u003e"]]
View source on GitHub