tf.nn.max_pool1d | TensorFlow v2.16.1 (original) (raw)
tf.nn.max_pool1d
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Performs the max pooling on the input.
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tf.nn.max_pool1d(
input, ksize, strides, padding, data_format='NWC', name=None
)
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 | Either the string "SAME" or "VALID" indicating the type of padding algorithm to use, or a list indicating the explicit paddings at the start and end of each dimension. Seeherefor more information. When explicit padding is used and data_format is"NWC", this should be in the form [[0, 0], [pad_left, pad_right], [0, 0]]. When explicit padding used and data_format is "NCW", this should be in the form [[0, 0], [0, 0], [pad_left, pad_right]]. When using explicit padding, the size of the paddings cannot be greater than the sliding window size. |
| 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 2024-04-26 UTC.