tf.nn.max_pool_with_argmax( input, ksize, strides, padding, Targmax=tf.int64, 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
.
The indices returned are always in [0, height) x [0, width)
before flattening, even if padding is involved and the mathematically correct answer is outside (either negative or too large). This is a bug, but fixing it is difficult to do in a safe backwards compatible way, especially due to flattening.
input
: A Tensor
. Must be one of the following types: float32
, float64
, int32
, uint8
, int16
, int8
, int64
, bfloat16
, uint16
, half
, uint32
, uint64
. 4-D with shape [batch, height, width, channels]
. Input to pool over.ksize
: A list of ints
that has length >= 4
. The size of the window for each dimension of the input tensor.strides
: A list of ints
that has length >= 4
. The stride of the sliding window for each dimension of the input tensor.padding
: A string
from: "SAME", "VALID"
. The type of padding algorithm to use.Targmax
: An optional tf.DType
from: tf.int32, tf.int64
. Defaults to tf.int64
.name
: A name for the operation (optional).A tuple of Tensor
objects (output, argmax).
output
: A Tensor
. Has the same type as input
.argmax
: A Tensor
of type Targmax
.
© 2018 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