tf.raw_ops.FractionalMaxPoolGrad
Computes gradient of the FractionalMaxPool function.
tf.raw_ops.FractionalMaxPoolGrad(
orig_input, orig_output, out_backprop, row_pooling_sequence,
col_pooling_sequence, overlapping=False, name=None
)
| Args | |
|---|---|
orig_input |
A Tensor. Must be one of the following types: float32, float64, int32, int64. Original input for fractional_max_pool |
orig_output |
A Tensor. Must have the same type as orig_input. Original output for fractional_max_pool |
out_backprop |
A Tensor. Must have the same type as orig_input. 4-D with shape [batch, height, width, channels]. Gradients w.r.t. the output of fractional_max_pool. |
row_pooling_sequence |
A Tensor of type int64. row pooling sequence, form pooling region with col_pooling_sequence. |
col_pooling_sequence |
A Tensor of type int64. column pooling sequence, form pooling region with row_pooling sequence. |
overlapping |
An optional bool. Defaults to False. When set to True, it means when pooling, the values at the boundary of adjacent pooling cells are used by both cells. For example:
If the pooling sequence is [0, 2, 4], then 16, at index 2 will be used twice. The result would be [20, 16] for fractional max pooling. |
name |
A name for the operation (optional). |
| Returns | |
|---|---|
A Tensor. Has the same type as orig_input. |
© 2020 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/versions/r2.3/api_docs/python/tf/raw_ops/FractionalMaxPoolGrad