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diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.nn.avg_pool3d.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.nn.avg_pool3d.md new file mode 100644 index 0000000000..76503e0567 --- /dev/null +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.nn.avg_pool3d.md @@ -0,0 +1,24 @@ +### `tf.nn.avg_pool3d(input, ksize, strides, padding, name=None)` {#avg_pool3d} + +Performs 3D average pooling on the input. + +##### Args: + + +* <b>`input`</b>: A `Tensor`. Must be one of the following types: `float32`, `float64`, `int64`, `int32`, `uint8`, `uint16`, `int16`, `int8`, `complex64`, `complex128`, `qint8`, `quint8`, `qint32`, `half`. + Shape `[batch, depth, rows, cols, channels]` tensor to pool over. +* <b>`ksize`</b>: A list of `ints` that has length `>= 5`. + 1-D tensor of length 5. The size of the window for each dimension of + the input tensor. Must have `ksize[0] = ksize[1] = 1`. +* <b>`strides`</b>: A list of `ints` that has length `>= 5`. + 1-D tensor of length 5. The stride of the sliding window for each + dimension of `input`. Must have `strides[0] = strides[4] = 1`. +* <b>`padding`</b>: A `string` from: `"SAME", "VALID"`. + The type of padding algorithm to use. +* <b>`name`</b>: A name for the operation (optional). + +##### Returns: + + A `Tensor`. Has the same type as `input`. + The average pooled output tensor. + |