tf.nn.max_pool_with_argmax
tf.nn.max_pool_with_argmax
tf.nn.max_pool_with_argmax
max_pool_with_argmax( input, ksize, strides, padding, Targmax=None, name=None )
Defined in tensorflow/python/ops/gen_nn_ops.py
.
See the guide: Neural Network > Pooling
Performs max pooling on the input and outputs both max values and indices.
The indices in argmax
are flattened, so that a maximum value at position [b, y, x, c]
becomes flattened index ((b * height + y) * width + x) * channels + c
.
Args:
-
input
: ATensor
. Must be one of the following types:float32
,float64
,int32
,int64
,uint8
,int16
,int8
,uint16
,half
. 4-D with shape[batch, height, width, channels]
. Input to pool over. -
ksize
: A list ofints
that has length>= 4
. The size of the window for each dimension of the input tensor. -
strides
: A list ofints
that has length>= 4
. The stride of the sliding window for each dimension of the input tensor. -
padding
: Astring
from:"SAME", "VALID"
. The type of padding algorithm to use. -
Targmax
: An optionaltf.DType
from:tf.int32, tf.int64
. Defaults totf.int64
. -
name
: A name for the operation (optional).
Returns:
A tuple of Tensor
objects (output, argmax).
-
output
: ATensor
. Has the same type asinput
. The max pooled output tensor. -
argmax
: ATensor
of typeTargmax
. 4-D. The flattened indices of the max values chosen for each output.
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/nn/max_pool_with_argmax