tf.raw_ops.MaxPoolGradGradV2
Computes second-order gradients of the maxpooling function.
tf.raw_ops.MaxPoolGradGradV2(
orig_input, orig_output, grad, ksize, strides, padding, data_format='NHWC',
name=None
)
| Args | |
|---|---|
orig_input |
A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, int64, bfloat16, uint16, half, uint32, uint64. The original input tensor. |
orig_output |
A Tensor. Must have the same type as orig_input. The original output tensor. |
grad |
A Tensor. Must have the same type as orig_input. 4-D. Gradients of gradients w.r.t. the input of max_pool. |
ksize |
A Tensor of type int32. The size of the window for each dimension of the input tensor. |
strides |
A Tensor of type int32. 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. |
data_format |
An optional string from: "NHWC", "NCHW". Defaults to "NHWC". Specify the data format of the input and output data. With the default format "NHWC", the data is stored in the order of: [batch, in_height, in_width, in_channels]. Alternatively, the format could be "NCHW", the data storage order of: [batch, in_channels, in_height, in_width]. |
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/MaxPoolGradGradV2